Associate Scientist
Core
Conducts genomic and bioinformatic analyses to identify genetic contributors to Alzheimer Disease and related dementias, developing predictive tools using machine learning and LLMs.
Role type
Associate Scientist (Computational Genomics & Statistical Genetics)
Builds
Interpretable, clinically relevant predictive tools for disease diagnosis and risk stratification
Domain
Biomedical research, Statistical Genetics, Computational Biology
Deliverable
production ML models | research
Required skills
Statistical genetics, Bioinformatics, Machine learning, Large language models (LLM), R, Python, Genome-wide association studies, High throughput sequencing analysis, Grant writing, Supervision of research staff
Preferred skills
Experience with multi-ancestry population analyses, Open-source software development
Technologies
R, Python, All of Us Researcher Workbench
Responsibilities
Design and implement statistical frameworks for integrative genomic analyses; Conduct functional bioinformatics and statistical analyses for AD-associated loci; Develop and apply machine learning and LLM approaches for disease risk stratification; Supervise, train, and instruct fellows, students, and staff in computational genomics; Seek independent funding from federal agencies and foundations; Publish original research articles.
Seniority
Mid-Senior level, hands-on IC with leadership responsibilities
