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Postdoctoral position
Posting Date: 7/29/2024
Yale School of Medicine
Department of Emergency Medicine
The Data Mining (DM) Lab at Yale University lead by Dr. Samah Fodeh has an opening for a postdoctoral researcher to participate in a series of projects that focus on leveraging healthcare data to improve patient care. The work spans work with structured and unstructured data in the electronic health record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not required but will be helpful. The ideal candidate will have an interest in broad career development in a dynamic environment that allows them to develop as a leader in healthcare data science and innovation.
Under the direction of the Principal Investigator, the ideal candidate is expected to lead several efforts, including working with the team to develop, discover and apply novel machine learning/natural language processing/deep learning applications to healthcare. They will also lead or assist drafting analytical sections for peer-review publication for various project. Responsibilities will also include participating in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team.
While programming experience with python and/or R is required, experience with one or more of the following skills will be an asset. However, if the individual is willing to learn these skills, there are opportunities to learn them in this position: distributed and cluster computing, with a specific focus on PySpark, working with large tabular data with python/R, basic principles of natural language processing and their applications in python with PyTorch/Huggingface/SpaCy, applications of computer vision and signal processing in Tensorflow or PyTorch, Llama and GPT models.
Essential Duties
Develop and execute new and/or highly complex algorithms and predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.
Required Education and Experience
PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years of demonstrated experience or an equivalent combination of education and demonstrated experience.
Required Skill/Ability 1:
Demonstrated expertise working with Linux, Python, and Java.
Required Skill/Ability 2:
Ability to work with large structured and unstructured datasets, and GPU-accelerated computing. Proven experience with Large Language Models.
Required Skill/Ability 3:
Sound background in theoretical and applied machine learning/deep learning with applications to either language, signals, or images.
Required Skill/Ability 4:
Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.
Required Skill/Ability 5:
Strong organizational, time management, and leadership skills. Ability and willingness to work in a highly collaborative team environment and matrixed organization.
Please email samah.fodeh@yale.edu if interested.
Yale is an affirmative action/equal opportunity employer. Yale values diversity among its students, faculty and staff and welcomes applications from women, members of minority groups, persons with disabilities, and protected veterans.
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