Postdoc Positions at University of British Columbia

Postdoctoral Fellow – Molecular Biology, Translational Platform Development, and Prostate Cancer Research

Posting Expiry

21 July 2026 - 12:00pm

Please refer to reference number PDFO-59207 when applying for this position.

 

Location: Robert Ho Building: 2635 Laurel Street, Vancouver, BC, V5Z 1M9

Affiliation: Department of Urologic Sciences, University of British Columbia

Appointment: Full-time, Postdoctoral Fellow

Reports to: Principal Investigator / Lab Director

Position Summary

The Mannas Lab at the Vancouver Prostate Centre is seeking an outstanding Postdoctoral Fellow in Molecular Biology and Translational Platform Development to help build and strengthen the molecular research capabilities of a growing translational prostate cancer lab.

This position is ideal for a highly motivated scientist who is excited by the opportunity to establish, optimize, and scale molecular and tissue-based workflows in a clinically connected research environment. The successful candidate will play a central role in developing the lab’s molecular platform across biospecimen processing, nucleic acid workflows, pathology-linked specimen organization, tissue and functional models, and translational assay development.

The postdoctoral fellow will work closely with a multidisciplinary team spanning surgery, pathology, imaging, computational biology, and translational oncology, and will help shape projects that connect molecular biology with tissue imaging, pathology, and clinically relevant disease phenotypes.

This is an exceptional opportunity for a postdoctoral scientist who wants to combine hands-on bench science, workflow development, mentorship, and translational impact.

Research Focus

The molecular postdoctoral fellow will contribute to a translational prostate cancer research program that may include:

Development of robust molecular workflows for human prostate biopsy and tissue specimens

DNA and RNA extraction from low-input and clinically derived samples

Specimen architecture and tissue-to-data workflow development, including alignment of pathology, imaging, and molecular outputs

Development and optimization of functional tissue models

Functional studies including drug testing and perturbation assays

Support of projects linking molecular findings with imaging, pathology, and computational modeling

Integration of molecular workflows into multimodal research studies involving clinical, imaging, pathology, and molecular datasets

Key Responsibilities

The successful candidate will be expected to contribute at a high level to both experimental execution and molecular platform development, including:

Establishing and optimizing molecular biology workflows for human prostate tissue and biopsy-derived specimens

Designing and implementing standard operating procedures for specimen handling, processing, quality control, and downstream assay readiness

Performing and troubleshooting DNA and RNA extraction from fresh, frozen, OCT, FFPE, or otherwise limited tissue specimens

Building specimen workflows that preserve linkage between tissue identity, pathology review, imaging, and downstream molecular outputs

Supporting molecular quality assessment and assay readiness across low-input workflows (for example, nucleic acid QC, sample suitability assessment, and downstream sequencing preparation)

Developing and maintaining functional experimental systems (for example, mammalian cell culture, organoids, short-term explants, or other tissue-based models)

Leading or supporting functional response studies (for example, drug testing, treatment-response assays, viability/proliferation assays, or perturbation experiments)

Supporting sample preparation and QC for downstream analyses such as targeted sequencing, bulk RNA workflows, or other molecular profiling approaches

Helping organize biospecimen tracking, documentation, assay readiness, and molecular workflow architecture

Contributing to experimental design, result interpretation, manuscript preparation, abstract development, and grant writing

Collaborating closely with computational and imaging-focused team members on multimodal projects

Mentoring students, research staff, or junior trainees in molecular methods and lab workflow execution

Helping define priorities, troubleshoot bottlenecks, and build a scalable molecular infrastructure for the lab

Required Qualifications

PhD in molecular biology, cancer biology, cell biology, translational medicine, biomedical sciences, or a related field

Strong hands-on expertise in core molecular biology and tissue-based research workflows (including DNA/RNA extraction, sample processing, assay optimization, and experimental troubleshooting)

Experience with cell-based or tissue-based experimental systems

Experience working with human tissue specimens, translational biospecimens, or clinically derived samples

Demonstrated ability to independently develop or optimize experimental workflows

Strong organizational skills and attention to detail, particularly in complex specimen-based studies

Excellent written and verbal communication skills

Ability to work independently while collaborating effectively in a multidisciplinary research environment

Preferred Qualifications

Experience with nucleic acid quality control and low-input molecular workflows (for example, Qubit, TapeStation/Bioanalyzer, RIN/DIN, DV200, sample suitability assessment for sequencing-based assays)

Experience with pathology-linked specimen organization and spatially aware tissue workflows (for example, section matching, spatial registration across imaging/pathology/molecular assays, tumor-stroma annotation, macrodissection, or laser capture microdissection)

Experience with sequencing-adjacent and transcriptomic workflows (for example, targeted DNA sequencing panels, low-pass whole-genome sequencing, bulk RNA-seq, targeted RNA panels, qPCR, RT-qPCR, ddPCR)

Experience with pathology-validation and tissue characterization methods (for example, immunohistochemistry, immunofluorescence, multiplex IF, RNAscope, or other in situ approaches)

Experience with advanced molecular profiling or spatial/transcriptomic approaches (for example, spatial transcriptomics, single-cell RNA-seq, single-nucleus RNA-seq, digital spatial profiling, ATAC-seq, CUT&Tag, CUT&RUN, or DNA methylation workflows)

Experience with functional model systems (for example, organoid culture, primary tissue culture, short-term explants, ex vivo culture, or drug-testing platforms)

Experience with metabolism-focused or translational biomarker methods (for example, metabolomics sample handling, targeted metabolomics, lipidomics, extracellular flux assays, ctDNA, cfDNA methylation, or related biomarker workflows)

Interest in translational projects connecting molecular biology with pathology, imaging, and computational analysis

Prior experience in prostate cancer, oncology, biomarker development, or translational cancer research

Evidence of scientific productivity, including first-author publications or meaningful contributions to collaborative projects

Ideal Candidate Profile

The ideal candidate is someone who:

Wants to help build and strengthen the molecular arm of a translational lab

Is comfortable creating structure, refining workflows, and improving research systems

Can operate with scientific independence and strong experimental judgment

Understands how specimen quality, assay design, and workflow discipline shape downstream data quality

Can move between detailed bench work and bigger-picture translational goals

Enjoys mentoring others and helping establish a high-functioning laboratory culture

Is motivated by research that connects molecular biology to real clinical questions in prostate cancer

Can build a strong foundation first, while helping the lab grow into more advanced molecular and functional capabilities over time

Research Environment

The Mannas Lab is part of the Vancouver Prostate Centre, a UBC-affiliated translational research environment focused on advancing prostate cancer biology, diagnostics, and treatment.

The successful candidate will have the opportunity to work in a collaborative setting that spans:

translational prostate cancer research

tissue-based biospecimen science

advanced imaging and pathology-linked studies

molecular profiling

multimodal biomarker development

clinically relevant functional models

Compensation

Compensation will be commensurate with experience, qualifications, and funding source.

Application Materials

Please submit your application to Dr. Mile Mannas, at miles.mannas@ubc.ca

Cover letter describing your interest in the position and relevant experience

Curriculum vitae

Contact information for 2–3 references

Optional: representative publications, preprints, or a brief summary of relevant technical expertise

Applications will be reviewed until the position is filled.

How to apply?

Please send applications to miles.mannas@ubc.ca and refer to reference number PDFO-59207.

Desired start date: 01 Aug 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral Fellow – Computational Pathology and Multimodal AI for Prostate Cancer

Posting Expiry

21 July 2026 - 12:00pm

Please refer to reference number PDFO-59205 when applying for this position.

 

Location: Robert Ho Building: 2635 Laurel Street, Vancouver, BC, V5Z 1M9

Department: Department of Urologic Sciences, University of British Columbia

Appointment Level: Commensurate with qualifications and experience

Position Summary

The Mannas Lab at the Vancouver Prostate Centre is seeking a highly motivated computational scientist or translational researcher to help build the lab’s computational modeling and data integration program in prostate cancer. This role is intended for a candidate who can work at the interface of imaging, molecular data, clinical data, and machine learning. The successful candidate will help develop and validate models that integrate diverse data types, including microscopy or pathology images, diagnostic imaging, molecular based data (e.g. sequencing, metabolism), and clinical variables, to better understand aggressive prostate cancer and improve translational research workflows.

This is an opportunity to help build the computational backbone of a growing translational lab, including model development, multimodal data integration, reproducible analytic pipelines, and biologically grounded interpretation.

Depending on qualifications and experience, the successful candidate may be appointed as a Senior Research Assistant/Technician, Research Associate, or Postdoctoral Fellow.

Core Responsibilities

The successful candidate will contribute to the development of the lab’s computational research program, including:

Building, training, evaluating, and refining machine learning or deep learning models using imaging, molecular, and clinical datasets

Developing multimodal approaches that integrate pathology or microscopy images with RNA-seq, MRI/PET, DNA-seq, spatial transcriptomic, proteomic, metabolomic, or other molecular data

Designing robust data workflows for curation, harmonization, labeling, preprocessing, and quality control

Supporting image annotation and label integration with investigators, pathologists, and collaborators

Implementing rigorous validation frameworks, including patient-level splitting, external validation, calibration assessment, and benchmarking

Developing interpretable models and analyses that connect imaging phenotypes to biologic or clinical outcomes

Establishing reproducible code, documentation, and data practices for collaborative research

Generating analyses, figures, and summaries for manuscripts, grants, abstracts, and presentations

Depending on appointment level, contributing to study design, mentorship, and scientific writing

Required Qualifications

MSc or PhD in bioinformatics, computer science, computational biology, biomedical engineering, medical biophysics, pathology, imaging science, or a related field

Strong programming skills in Python

Experience building or evaluating machine learning or deep learning models for biomedical imaging, pathology, microscopy, radiology, omics, or multimodal biomedical data

Experience working with high-dimensional molecular datasets such as transcriptomic, genomic, spatial, or other sequencing-derived data

Experience integrating multiple data types into coherent analytic workflows

Strong understanding of model evaluation, validation, and reproducibility

Excellent organizational, quantitative, and problem-solving skills

Ability to work effectively in a multidisciplinary translational research environment

Preferred Qualifications

Experience in computational pathology, digital pathology, or image-based biomarker discovery

Experience with frameworks such as PyTorch, TensorFlow, MONAI, scikit-learn, OpenSlide, QuPath, or similar

Experience linking image features with molecular labels, including RNA-seq, DNA-seq, spatial transcriptomics, or related datasets

Experience with multimodal modeling involving clinical variables and imaging or molecular data

Familiarity with optical imaging methods such as stimulated Raman histology (SRH), Raman imaging, CARS, multiphoton, confocal, or related microscopy platforms

Familiarity with prostate cancer, oncology, biomarker development, or translational cancer research

For postdoctoral-level applicants: evidence of first-author publications and the ability to lead independent methodological work

Ideal Candidate

The ideal candidate will:

Be excited by building the computational and modeling arm of a translational lab

Understand how to connect imaging, biology, and clinical context rather than treating modeling as a purely technical exercise

Be comfortable working with imperfect real-world datasets and improving them into usable research assets

Have the maturity to suggest computational direction, not just execute assigned analyses

Be motivated by translational work with clear clinical relevance

Appointment Levels

The final title will depend on training, experience, and level of independence:

Senior Research Assistant/Technician

Strong technical candidate with experience implementing pipelines, curating datasets, supporting model development, and maintaining reproducible workflows.

Research Associate

Experienced candidate able to independently drive computational projects, multimodal model development, and collaborative analysis.

Postdoctoral Fellow

Independent scientist able to lead methods development, publish first-author work, help shape scientific direction, and contribute to grant development.

Application Materials

Please submit your application to Dr. Mile Mannas, at miles.mannas@ubc.ca

Cover letter

Curriculum vitae

Contact information for 2–3 references

Optional: GitHub, code portfolio, preprints, or representative projects

Applications will be reviewed on a rolling basis until the position is filled.

How to apply?

Please send applications to miles.mannas@ubc.ca and refer to reference number PDFO-59205.

Desired start date: 01 Aug 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral Fellowship in Single-Molecule Biophysics and Nanomedicine

Posting Expiry

4 June 2026 - 12:00pm

Please refer to reference number PDFO-59204 when applying for this position.

 

The Michael Smith Laboratories at the University of British Columbia invites applications for a Postdoctoral Research Fellow with hands-on single-molecule microscopy expertise under the supervision of Dr. Sabrina Leslie. The Leslie Lab is a leading single-molecule and single-cell biophysics group developing next-generation imaging technologies to elucidate complex biological systems with unprecedented resolution, including mRNA-LNP (lipid nanoparticle) nanomedicines.

We are seeking an exceptional candidate who would enjoy a three-year Mitacs-funded collaborative research program in partnership with ScopeSys, a Vancouver-based life sciences tools company. The successful candidate will contribute to advancing analytical technologies for RNA-based therapeutics, with a focus on lipid nanoparticle (LNP) delivery systems and molecular interaction kinetics.

Project

RNA-based nanomedicines, including mRNA vaccines, gene therapies, and oligonucleotide therapeutics, have emerged as powerful new approaches for preventing and treating diseases ranging from infectious illnesses, to cancer and genetic disorders. These therapies commonly rely on lipid nanoparticles (LNPs) to protect fragile nucleic acid cargo, transport it through the body, and release it into cells. While recent clinical successes have demonstrated their tremendous potential, further progress has been limited by incomplete characterization and understanding of how mRNA-LNPs work, with room for improvement in the optimization of nanoparticle composition, manufacturing conditions, and cargo properties, as well as in connecting these biophysical details to therapeutic performance, safety, and reproducibility.

This research project will use CLiC (Convex Lens-induced Confinement) microscopy, an advanced single-molecule imaging platform that enables direct, real-time measurements of molecular interactions and structures under solution conditions. Unlike bulk methods, CLiC can resolve particle-to-particle variability and simultaneously quantify multiple properties such as LNP size, mRNA (and other) payload, molecular conformations, and interaction kinetics. The long-term goal is to generate data-driven design principles that accelerate the development, optimization, and standardization of next-generation nanomedicines.

Key Objectives

Objective 1: High-resolution characterization of LNP formulations

The Postdoctoral Research Fellow will generate quantitative datasets of particle size distributions and mRNA payload heterogeneity across multiple clinically relevant LNP formulations. This work will leverage advanced CLiC-based single-molecule FRET methodologies to resolve nanoscale variability that is not accessible through ensemble techniques, and investigate emerging multi-valent formulations which have multiple cargo per particle.

Objective 2: Development of post-formulation labeling strategies

Develop a novel post-formulation labeling assays which allow for the LNP, mRNA and other cargo to be detected specifically and sensitively. This approach decouples LNP formulation from the fluorescent labeling of the particle and cargo, enabling more flexible and scalable workflows. The Postdoctoral Research Fellow will design, validate, and benchmark this method against existing protocols, with the goal of producing a high-impact publication and broadly adoptable, impactful methodology.

Objective 3: Scale-up of measurements using microfluidics and AI-enhanced tools

The Postdoctoral Research Fellow will collaborate with a microfluidics engineer and AI/ML expert in the Leslie Lab to increase the throughput of the CLiC single-particle assays on a next-generation of our microfluidics-enabled imaging platform. They will collaborate closely with engineers who have complementary expertise and focus on the scientific microscopy results while gaining experience in device improvement.

Qualifications

Candidates must have a PhD in Physics, Biophysics, Bioengineering, Chemistry, or a related field. The candidate will have strong experimental, hands-on background in quantitative science, including experience with data analysis and scientific programming. We are seeking a good team player with strong interpersonal communication and relationship skills.

Preferred candidates will be those with experience with single-molecule or fluorescence microscopy, a background in microfluidics, nanotechnology, or soft matter systems, experience with interferometric (iSCAT) scattering microscopy, familiarity with RNA biology or drug delivery systems, programming skills in Python, MATLAB, or similar, experience with mammalian cell culture and sterile technique, and experience with live-cell imaging

Opportunity

The funding is supported by a Mitacs postdoctoral fellowship in partnership with ScopeSys. The salary commensurate with experience with a minimum salary of $60,000/year. The start date is negotiable and will initially be for one year, with the possibility of extension depending on satisfactory performance and funding, up to 3 years.

Application Process

Interested applicants should submit a curriculum vitae, a cover letter describing research experience and interests, and contact information for 2 to 3 references. Applications should be submitted to the UBC Career Portals at https://ubc.wd10.myworkdayjobs.com/en-US/ubcfacultyjobs/job/Postdoctoral-Fellowship-in-Single-Molecule-Biophysics-and-Nanomedicine_JR24607.

How to apply?

Applicants should submit enquires/applications at this website and refer to reference number PDFO-59204.

Desired start date: 01 Jul 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral Research Fellow - Learning Health System (LHS)

Posting Expiry

16 June 2026 - 12:00pm

Please refer to reference number PDFO-59196 when applying for this position.

 

At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. ​​​​​​

The Department of Emergency Medicine at The University of British Columbia (UBC) invites applications for a 1-year, full-time Postdoctoral Fellow to support the early development of a provincial Learning Health System (LHS) for emergency care in British Columbia.

The first phase of this work is supported by external research funding and focuses on co-designing and testing the foundational components of a provincial LHS, including governance, priority-setting approaches, learning-cycle processes, and early dashboard and measurement concepts. Substance use care, including opioid-related emergency care, will serve as an initial use case.

The successful candidate will work within a collaborative provincial initiative involving UBC, Emergency Care BC (ECBC), and partners across British Columbia’s emergency care system. ECBC is a provincial network that supports collaboration across health authorities, clinicians, patients, and partners to improve the quality, coordination, and delivery of emergency care. Through this partnership, the role will contribute to practical processes that support continuous learning and improvement across the province.

The postdoctoral fellow will receive day-to-day supervision from Dr. Erica Lau, with mentorship from research, health system, Indigenous, and lived/living experience partners who co-lead this work. The position will provide opportunities for mentorship, manuscript development, conference presentations, grant development, and collaboration with provincial health system partners.

The vision of the UBC Department of Emergency Medicine is to be a provincially integrated Department committed to clinical and academic leadership in the creation and exchange of knowledge to promote excellence in emergency care. Our faculty members have an impressive record of research and discovery. Our research and innovation initiatives include 12 successful programs related to prevention and harm reduction, improving clinical care, and health system improvement.

RESPONSIBILITIES

Reporting to Dr. Erica Lau, Assistant Professor, Department of Emergency Medicine, the incumbent will be responsible for:

Supporting the development and operationalization of LHS governance, priority-setting, and learning-cycle processes

Leading and contributing to mixed-methods research and evaluation activities, including scoping, synthesis, qualitative analysis, and quantitative analysis where appropriate

Leading and participating in stakeholder engagement and co-design activities, including working group meetings, listening sessions, and site visits

Working with CEDRN and other data/analytics teams to develop analytic plans, conduct or support analyses using available emergency care data where appropriate, interpret findings, and translate results into actionable insights

Supporting the development of practical tools, dashboard concepts, implementation resources, progress summaries, and project deliverables for research, health system, and community partners

Contributing to manuscripts, conference presentations, reports, grant development, research ethics, privacy, data governance, and knowledge translation activities, where applicable

QUALIFICATIONS

Successful applicants will have:

A doctoral degree obtained within the last five years, or completed by the start of the position, in a relevant field such as implementation science, epidemiology, health services and policy research, public health, or a related field

Strong quantitative, qualitative, or mixed-methods research skills

Experience developing analytic plans and conducting data analysis using relevant software such as R, SAS, Stata, NVivo, or equivalent

Experience with collaborative, partner-engaged, community-engaged, or co-design research approaches

Ability to work effectively across diverse stakeholders and disciplines, including clinicians, health system partners, and community or lived/living experience groups

Demonstrated ability to work independently and contribute in collaborative, evolving research environments

Strong communication, writing, organizational, and interpersonal skills, with attention to detail and the ability to manage multiple timelines

Experience or strong interest in implementation science, applied health services research, and health system improvement

Interest in emergency care, substance use research, or Learning Health Systems is preferred

Willingness to respect diverse perspectives, including perspectives in conflict with one’s own.

Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion.

The expected salary range for this position is $70,000 to $75,000 CAD per year plus benefits per annum. Candidates who hold or are eligible for external postdoctoral fellowship support are welcome to apply. The Faculty of Medicine is committed to offering equitable and competitive salaries, commensurate with the qualifications and experience of the candidate. 

APPLICATION PROCEDURE

An application package should include:

A letter of application outlining the applicant’s research interests and relevant experience

A detailed curriculum vitae

One writing sample (peer-reviewed publication, dissertation chapter, or report)

Contact information for three referees

Applications should be submitted online at https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs/job/UBC-Hospital-Site---Vancouver-BC-Canada/Postdoctoral-Research-Fell... 

Should you have any queries around this position, please contact Dr. Erica Lau at erica.lau@ubc.ca.

Review of applications will begin in June 22, 2026  and continue until the position is filled. The anticipated start date is July 2026, or upon a date to be mutually agreed. This is a 1-year appointment, with possibility of renewal subject to funding and performance.

How to apply?

Applicants should submit enquires/applications at this website and refer to reference number PDFO-59196.

Desired start date: 01 Jul 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral Fellow in reproductive population health data research team led by Dr. Laura Schummers

Posting Expiry

31 May 2026 - 12:00pm

Please refer to reference number PDFO-59176 when applying for this position.

 

We are seeking a highly motivated Postdoctoral Fellow (PDF) with an interest in reproductive epidemiology, women’s health, population health, and health policy to lead research alongside members of the Reproductive Population Health Data Research Team led by Dr. Laura Schummers. Dr. Schummers’s team is part of the Collaboration for Outcomes Research and Evaluation (CORE) and located in the Faculty of Pharmaceutical Sciences on the University of British Columbia’s (UBC) Vancouver campus. UBC is a global centre for research and teaching, consistently ranked among the top public universities globally. This team’s CIHR-funded program of research examines impacts of policy and practice change on reproductive population health using quantitative methods from epidemiology and patient-oriented research methods. This includes studies on optimal pregnancy spacing; abortion safety and access; impacts of policy changes on contraception and menopausal hormone therapy use, access, and outcomes; early pregnancy loss; and methodological work to create conception cohorts using population-based administrative health data.

The PDF will lead the design and conduct of research studies from start to completion, in collaboration with Dr. Schummers and the research team, including protocol development, data access requests, and knowledge translation. They will participate in and lead the writing and submission of funding applications. The PDF will have the opportunity to mentor junior team members and trainees. Research will be performed with collaborators across the university, Canada, and international settings, including researchers, policy partners, patient partners, clinicians, and health system leaders. The PDF will be supported to apply for funding and lead original research studies, with the aim of developing an independent program of research and strong early career foundation.

Qualifications and Experience Required

At least a doctoral (PhD) degree in epidemiology, health services and policy research, public health, or a related field with demonstrated strong quantitative skills and epidemiological methods.

Experience with population-based administrative health data (e.g., DAD, claims, Kaiser, Medicaid, Nationwide Inpatient Sample, UK General Practice Research Database), including prior work with diagnostic codes, procedure codes, and billing records. Preference will be given to applicants who have worked with administrative health data from similar settings.

Fluency with at least one statistical programming language (R, SAS, Stata, SQL, Python).

Led, as first-author, at least one epidemiology or health policy study using advanced methods for observational health research (e.g., cohort study with appropriate confounding control, quasi-experimental policy analysis, case-control).

Led at least two first-authored manuscripts published or submitted at the time of application.

Prior work in women’s health, reproductive health, family planning, and/or perinatal epidemiology.

Must be eligible for consideration for the Canada Impact+ Research Training Program (including, no prior Tri-Council (CIHR) PDF-level funding and no current affiliation with a Canadian university. Note, past affiliations are allowed, as is Canadian citizenship/PR status).

Prior experience with multidisciplinary collaborative research teams, or interest in this model.

Prior experience developing and writing successful funding applications.

Willingness to respect diverse perspectives, including perspectives in conflict with one’s own.

Demonstrate a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion.

Salary

The expected salary for this position is $70,000-$90,000 CAD plus benefits per year, commensurate with experience. 

Appointment

The appointment will be for one year, with the possibility of extension subject to satisfactory performance and availability of funding. This appointment will be a full-time position.

Application Instructions

To apply, please submit the following materials to pharmsci.reproductive.pophealth@ubc.ca:

Cover letter (maximum of 2 pages describing PhD coursework and research, why you are seeking a postdoctoral fellowship research areas of interest and overlap with our team)

Curriculum Vitae with complete publication and presentation history

3 published papers

Graduate transcripts (unofficial)

3 academic references (ideally include PhD supervisor)

Applications will be accepted until 11:59 PM Pacific Time on the Posting End Date. Review of the applications will start from May 31, 2026 and will continue until the position is filled.

We are seeking a Fellow to join our team during the 2026/27 academic year (July 1, 2026 or later).

UBC’s campuses are located on the traditional, ancestral, and unceded territories of the Syilx (Okanagan) Peoples and of the Coast Salish Peoples, including the territories of the xwməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Stó:lō and Səl̓ílwətaʔ/Selilwitulh (Tsleil Waututh) Nations.

How to apply?

Please send applications to pharmsci.reproductive.pophealth@ubc.ca and refer to reference number PDFO-59176.

Desired start date: 01 Jul 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral Research Fellow

Posting Expiry

28 May 2026 - 12:00pm

Please refer to reference number PDFO-59160 when applying for this position.

 

ANTICIPATED START DATE

The anticipated start date is September 1, 2026, or a date to be mutually agreed upon.

ANTICIPATED JOB END DATE

August 31, 2027, with the possibility of renewal.

EXPECTED SALARY

$70,000-$90,000 CAD plus benefits per year, commensurate with experience.

 

JOB SUMMARY

The Faculty of Pharmaceutical Sciences at the University of British Columbia (UBC) is seeking a Postdoctoral Research Fellow in Health Economics for a 1-year term. This position is suited for a highly motivated researcher with interests in health economics, pharmacy and pharmaceutical policy, and related areas. The successful candidate will contribute to a range of projects involving health economic data analysis, preference elicitation, and policy evaluation. This role is ideal for a health economics researcher who is passionate about improving healthcare systems and informing policy through impactful research.

The position will be a full-time appointment and will be located at the Collaboration for Outcomes Research and Evaluation (CORE) at UBC Vancouver campus and the Centre for Advancing Health Outcomes (Advancing Health) at St. Paul’s Hospital.

ORGANIZATIONAL STATUS

CORE is a multidisciplinary research group specializing in epidemiology, health economics, health services research, and pharmacy practice research. Its mission is to improve health-care-related outcomes through the application of the rigorous research and practice-enhancement strategies, as well as to provide high-caliber training.

Advancing Health is a team of experienced researchers and support staff dedicated to improving population health and transforming health systems for the future. Advancing Health evaluates the effectiveness of health interventions, generating evidence that informs better health outcomes and policy decisions.

Dr. Wei Zhang, a faculty member within CORE and the program head of heath economics within Advancing Health, leads the Health Economics Program, which focuses on advancing evidence-based approaches to improve healthcare efficiency and equity. Dr. Zhang has recently received a CIHR Project Grant to evaluate the feasibility and costs of pharmacy models supporting rural and remote communities in British Columbia, Canada. The successful candidate will contribute to this funded project, as well as other health economics related projects, working with a multidisciplinary team under Dr. Wei Zhang’s supervision. To Learn more about Dr. Zhang and their research, visit https://pharmsci.ubc.ca/directory/wei-zhang.

WORK PERFORMED

Leading and Coordinating Research Projects: Design and develop research projects in collaboration with the supervisor, including defining relevant research methodologies, preparing grant and ethics applications, and coordinating with external collaborators.

Data Collection and Management: Develop survey questionnaires, collect data through interviews or surveys, and organize and manage large and complex databases.

Data Analysis: Apply econometric and statistical methods to analyze complex health-related and pharmaceutical-related data, including administrative data from the Ministry of Health and survey data from Statistics Canada, as well as build and simulate data using various data sources.

Policy Evaluation: Evaluate existing and proposed pharmacy models or pharmaceutical policies, such as changes in scope of practice and reimbursement systems, and conduct economic evaluations to assess their costs and impacts.

Dissemination of Research Findings: Write and publish high-quality research papers in peer reviewed journals, and present findings to knowledge users and at academic conferences.

Trainee Mentorship: Work independently on research projects, and provide support and guidance to trainees on their research projects.

Other duties as needed.

CONSEQUENCE OF ERROR

This position requires professional action on all aspects of research activities and is responsible for producing high quality, reproducible, well-documented work. Errors may affect the research team’s ability to meet critical deadlines, compromise project results, and ultimately impact the credibility of the Principal Investigator. Poor decisions may damage the reputation of the Principal Investigator, the Faculty, and the University, and could lead to incorrect or inappropriate policy recommendations. Errors in judgement and failure to report problems have significant consequences and will lead to termination of the position.

SUPERVISION RECEIVED

The Postdoctoral Fellow will work with a high degree of independence and set priorities under broad directives from Dr. Zhang. The Fellow will directly report to Dr. Zhang.

SUPERVISION GIVEN

The Postdoctoral Fellow will be responsible for providing direction and training to trainees as appropriate.

EDUCATION/WORK EXPERIENCE

Minimum Qualifications

PhD in Health Economics, Health Policy, Health Services Research, or a related field.

Proficiency in econometric and/or statistical analysis and in using at least one software package, Stata, R, or SAS.

Demonstrated ability to conduct high-quality health economics research and publish in reputable peer-reviewed journals.

Demonstrated experience in designing surveys, and in managing and analyzing large datasets.

Sufficient knowledge of the Canadian health care system.

Excellent oral and written communication skills.

Ability to effectively perform both self‑directed and supervised research, and to manage multiple tasks in a fast-paced environment.

Ability to work collaboratively with interdisciplinary teams and external collaborators.

Willingness to respect diverse perspectives, including perspectives in conflict with one’s own.

Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion.

Interested applicants should submit a single PDF including a statement of qualifications (maximum 2 pages), a curriculum vitae, and the contact information of three references. Applications must be submitted to the UBC Careers portal no later than the posting end date. Review of applications will begin immediately and will continue until the position is filled.

How to apply?

Applicants should submit enquires/applications at this website and refer to reference number PDFO-59160.

Desired start date: 01 Sep 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral Research Fellow (PDF): Collaborative Conservation Leadership (CCL) Program

Posting Expiry

31 May 2026 - 12:00pm

Please refer to reference number PDFO-59159 when applying for this position.

 

Position Overview

We invite Postdoctoral Research Fellow applications from highly motivated individuals for a position centered on interdisciplinary, solutions-oriented conservation research and graduate training within the new Collaborative Conservation Leadership (CCL) program at the University of British Columbia in Vancouver, Canada. CCL is a graduate training program embedded within the Interdisciplinary Biodiversity Solutions Collaboratory (IBioS). CCL will prepare graduate students to address complex conservation challenges through partner-engaged research, professional development, and training in cultural competency, with the support of an interdisciplinary group of faculty, postdocs, and external partners.   

In this role, the candidate will have the opportunity to lead their own dynamic, solutions-focused, partner-engaged research project, and to contribute to training, mentorship, and leadership development for CCL graduate students.

The successful candidate will be expected to develop and conduct a solutions-oriented conservation research project in collaboration with a non-academic partner and one or more IBioS faculty members. The candidate will be an integral part of creating a collaborative and inclusive training environment and cohort-building experience for CCL trainees. Their duties will include co-organizing a weekly seminar series with other IBioS staff (to include student talks, partner talks and professional development activities), and participating and helping to organize the Land-based learning experience focused on intercultural learning and ethical conservation. They will have opportunities to co-mentor graduate or undergraduate trainees aligning with their expertise, and to deliver a graduate training workshop on the topic of their choice.

Term and Compensation

Duration: 2-year full-time appointment, subject to satisfactory performance appraisals.

Salary: $70,000 per year (plus benefits)

Anticipated Start Date: September 1st, 2026

 

Required Qualifications

Candidates must have:

A doctoral degree obtained (within the last 5 years or completed by the start of the position) in a relevant field such as ecology, conservation science, environmental studies, geography, resource management, or a related natural or social science discipline.

Demonstrated experience in interdisciplinary and/or applied research.

Experience with or strong potential for partner-engaged and/or community-engaged research.

A demonstrated commitment to equity, inclusion, and respectful research practices, and an understanding of ethical community engagement, knowledge co-production, and/or Indigenous research principles.

Proven mentorship or teaching experience.

Equity, Diversity, Inclusion, and Indigeneity

We are committed to building an inclusive conservation research community. Applicants from historically, persistently, or systemically marginalized groups are strongly encouraged to apply. Lived experience, community engagement, and diverse ways of knowing are recognized as valuable strengths.

Application Instructions:

To apply, please provide the following materials, combined in one file in the order described below:

Cover letter (max 1 page)

Curriculum vitae

Statement of research interests (max 2 pages), describing your proposed research and potential partners. Please also identify the potential IBioS academic supervisor(s) and indicate the status of your proposed collaboration with the non-academic partner.

A statement of your training and mentorship philosophy and how it will inform your involvement in the CCL program. (maximum 500 words)

Diversity, Equity, and Inclusion. Please describe how any lived experiences, community involvement, contributions to equity and inclusion, or practical engagement with conservation and resource management challenges have informed your perspective and approach to your research. (maximum 500 words)

Names and contact information for three professional referees.

Name and contact information of proposed non-academic partner.

 

Review of applications will begin on June 1, 2026, and continue until the position is filled. The anticipated start date for this position is September 1, 2026 or upon a date to be mutually agreed.

UBC hires on the basis of merit and is committed to employment equity. All qualified persons are encouraged to apply. Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person. All qualified candidates are encouraged to apply; however, Canadians and permanent residents of Canada will be given priority.

How to apply?

Applicants should submit enquires/applications at this website and refer to reference number PDFO-59159.

Desired start date: 01 Sep 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral Research Fellow in Eelgrass Population Genomics

Posting Expiry

30 May 2026 - 12:00pm

Please refer to reference number PDFO-59157 when applying for this position.

 

Academic

Job Category

Faculty Non Bargaining

Job Title

Postdoctoral Fellow in Eelgrass Population Genomics

Department

Research | Todesco | Michael Smith Laboratories | Faculty of Science (Marco Todesco)

Posting End Date

May 30, 2026

Note: Applications will be accepted until 11:59 PM on the Posting End Date.

Job End Date

June 30, 2028

The expected pay for this position is $70,000 per year.

The Todesco lab in the Michael Smith Laboratories at the University of British Columbia, Vancouver, Canada invites applications for a full‑time Postdoctoral Research Fellowship to work on a project investigating population genomics, adaptation, and conservation of eelgrass (Zostera marina). The successful candidate will join a collaborative project aimed at understanding genetic diversity, demographic history, and the impacts of environmental change on eelgrass populations in the James Bay and St. Lawrence River regions. The successful candidate will use population genomics approaches to assess genetic vulnerability and adaptive potential of eelgrass populations.

Project

This project is co‑led by Drs. Marco Todesco, Mary O’Connor (Department of Zoology), and Loren Rieseberg (Department of Botany), and is embedded within a long‑standing network of eelgrass researchers, restoration practitioners, and coastal Eeyou communities in Eeyou Istchee. Eelgrass meadows occur along much of the North American coastline and are essential components of coastal ecosystems. They support biodiversity, improve water quality, contribute to fisheries productivity, and play a major role in carbon sequestration. Despite their importance, eelgrass habitats are increasingly threatened by climate change, pollution, and coastal development. Restoration efforts are urgently needed but often fail, partly because transplanted plants may not be genetically suited to their new environments.

Specific research activities include:

Generating a genome assembly for a James Bay eelgrass individual and building an eelgrass pangenome

Analyzing whole‑genome resequencing data from hundreds of individuals to characterize patterns of diversity and demographic history

Assessing genetic vulnerability across populations in the study regions

Disseminating results to academic collaborators, community partners, and the broader scientific community

Candidate

We are seeking a postdoctoral researcher with a strong background in population genetics, genomics, bioinformatics, plant genetics, or related fields. Candidates must hold a PhD in Population Genetics, Genomics, Bioinformatics, Plant Genetics, or similar fields with an excellent publication record. The candidate must be able to work well both independently and in a team environment. We are seeking a creative individual with great interpersonal skills and excellent communication, both written and verbal.

Application process

Interested applicants should submit a CV and cover letter that details their experience and contact details for 3 references. Applications should be submitted to https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs/job/UBC-Vancouver-Campus---Vancouver-BC-Canada/Postdoctoral-Fellow-in-Eelgrass-Population-Genomics_JR24303 no later than the posting date. Review of applications will begin immediately and continue until the position is filled.

Opportunity

The PDF will join the Michael Smith Laboratories, one of Canada’s premier research institutes, and will interact with leading scientists in genomics, ecology, evolutionary biology, and molecular biology. The position is located on UBC’s Vancouver campus, in a city renowned for its exceptional quality of life, natural beauty, and mild climate.

Salary is $70,000 CAD per year, plus benefits, and may increase with fellowship awards.

The position is available July 1, 2026, with the start date is negotiable and will initially be for one year, with the possibility of extension depending on satisfactory performance and funding.

How to apply?

Applicants should submit enquires/applications at this website and refer to reference number PDFO-59157.

Desired start date: 01 Jul 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Postdoctoral fellowships in biomedical ultrasound imaging and monitoring

Posting Expiry

1 June 2026 - 12:00pm

Please refer to reference number PDFO-59143 when applying for this position.

 

Sonus Microsystems (www.sonusmicrosystems.com) and the AdaMist  (Adaptive Microsystems) research group at UBC are searching for two engineering-oriented postdoctoral fellows for a two-year term,  as part of Mitacs Accelerate grants. Please see the job details below.

Jobs information

Term: May 2026 - April 2028

Stipend: starting from $58,000/year (including benefits)

Project summary 

Sonus Microsystems and UBC work towards the development of innovative biomedical imaging systems using polymer based ultrasonic transducer arrays. polyCMUT (Polymer Capacitive Micromachined Ultrasonic Transducer) arrays. The specific features of such transducers enable conformal ultrasound imaging using flexible array patches.  We target the development of ultrasound systems for imaging and healthcare monitoring, building on the accumulated expertise in both the research team at UBC (AdaMist group) and in Sonus Microsystems, proven by existing past publications.  The main target is to develop novel wearable ultrasonic arrays for non-invasive health monitoring.  The main envisaged advantages are surface conformability, low fabrication cost and rapid customization, in a good balance with the transducer array performance. The approach will allow the continuous, prolonged time monitoring of the health status of patients using non-invasive ultrasound measurements/imaging techniques, for both early warning and accurate diagnostic.

Jobs summary and context

The two postdoctoral fellows (PDF1 and PDF2) will closely interact and integrate within the existing teams, to benefit from the existing experience in  microfabrication, complex electro-mechano-acoustic simulations, circuit design and system integration and testing. They should be both very motivated, open to learn and adapt to interdisciplinary interactions and challenges, leading to a successful project, with wide future perspectives.

PDF1 is required to have a strong background in microfabrication, MEMS technology, microtransducers design, simulation and fabrication and testing. His role is to enhance the existing polyCMUT  microfabrication process and to further develop it towards wearable, large flexible ultrasonic arrays. Experience with cleanroom microfabrication and silicon or polymer-based microdevices would give a strong starting point.

PDF2 needs a good expertise in sensor interfaces, circuit design, general analog and digital electronic systems and signal processing. His role is to integrate the ultrasound transducer array with custom electronics and to ensure the interface with a backend ultrasound imaging system. It is expected that the candidate will have practical experience with circuit design, simulation, and implementation, up to the PCB level design and assembly.

Education and work experience

Candidates must have a PhD in Electrical Engineering, Computer Engineering, or a related field, with expertise connected to the jobs summary. Preference will be given to candidates with experience in combining theoretical design, analysis and simulation with experimental work. Relevant experience with medical systems, previous industrial experience are supplementary assets. Successful applicants will have an outstanding academic record and a demonstrated aptitude for both independent and team-based research.

Tasks 

Specific and detailed tasks will be discussed during the interviews. A high level perspective includes:

 - Design, develop, and pilot ultrasound imedical imaging subsystems (polyCMUT arrays, circuit interfaces, integration with ultrasound imaging backend systems, etc.)

- Collaborate with graduate students and other researchers and staff involved in the project

- Present findings on a regular basis to supervisors and team members, prepare regular progress reports

- Liaise with project partners

- Other duties as assigned

Skills

General skills 

- Excellent organizational skills (project management skills)

- Excellent communication skills, both oral and written

- Strong critical thinking and problem-solving skills

- Comfortable working alone and in team settings

Specific expected skills:

· MEMS transducer design, finite element simulation of multiphysics operation, especially in the field of ultrasonic transducers

· Experience with microfabrication technology, from processing steps to assembly and device testing

· A desired knowledge about ultrasound bioimaging

Specific expected skills :

· Fluency in electronic circuit design for instrumentation, high performance transducers interfaces, using Spice design, simulation and optimization tools

Experience with practical circuit design and system building knowledge: PCB design, assembly, modular interfaces

Familiarity with signal processing algorithms, especially array signal processing, and their implementation 

A desired knowledge about ultrasound imaging principles and equipment

Covid-19 contingencies 

The candidates are expected to do both design and practical, experimental work, and interact with various team members on a regular basis. Nevertheless, the COVID-19 pandemic requires us to consider preventive measures as well. The successful candidates will be assigned an on-campus workspaces, but may be required at times to work remotely, in response to local public health guidelines.

Applications 

Please submit a resume and cover letter (motivating your interest), attn: Dr. Edmond Cretu (edmondc@ece.ubc.ca) and Dr. Carlos Gerardo (carlos@sonusmicrosystems.com). To be easy to distinguish, use [PDF Sonus] at the beginning of the Subject field. We will have a certain wait period , but we may start interviewing candidates as  soon as their profile looks potentially suitable to join the team. Only those short listed will be contacted. We will keep the positions open until the positions are awarded.

How to apply?

Please send applications to edmondc@ece.ubc.ca and refer to reference number PDFO-59143.

Desired start date: 01 May 2026

Duration: Fixed term / Temporary

Contract Type: Full Time

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

https://www.postdocs.ubc.ca/career-opportunities#ubc-careers