Postdoctoral Associate - Hussman Institute
Core
Conducts scientific research in genetic and bioinformatic analysis of Alpha-1 Antitrypsin deficiency, developing predictive models using large-scale genomic and clinical datasets.
Role type
Postdoctoral Associate (Research Scientist)
Builds
Interpretable, clinically relevant predictive tools for disease diagnosis and risk stratification
Domain
Biomedical research / Bioinformatics / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, large language models (LLM), natural language processing, Python, R, cloud computing, high-performance computing, genomic data analysis, clinical data analysis
Preferred skills
Independent funding acquisition, grant reporting
Technologies
Python, R, cloud-based environments, high-performance computing, All of Us Researcher Workbench
Responsibilities
Design and execute end-to-end statistical and bioinformatic analyses integrating large-scale genomic and clinical datasets; Develop and apply machine learning and LLM approaches to build predictive tools; Publish original research articles; Prepare scientific progress reports for grant-funded projects; Confer with principal investigators to review work assignments and develop research plans.
Seniority
Postdoctoral (Early career researcher)
