Associate Manager, Statistical Genetics (Applied Bioinformatics Scientist)
Core
Conduct genetic association analyses and integrate multi-omic datasets to discover and validate therapeutic targets for human disease.
Role type
Associate Manager, Statistical Genetics (Applied Bioinformatics Scientist)
Builds
Analytic and translational genetics studies supporting therapeutic program development
Domain
Biotechnology / Statistical Genetics / Multi-omics
Deliverable
production ML models
Required skills
GWAS, EXWAS, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, meta-analysis, data harmonization, normalization, functional genomics, Python, R, C/C++, Bash, Julia, regression, classification, Bayesian inference, hypothesis testing
Preferred skills
Immunologic dataset analysis, immunology domain experience
Technologies
Git/Github, Docker
Responsibilities
Conduct genetic association analyses using large-scale human genetic data; Integrate genetic data with multi-omic datasets; Develop and implement methods for data harmonization and normalization; Apply functional genomic data to prioritize variants and genes; Perform quality control on large-scale genetic and phenotypic datasets; Design and independently execute analytic studies from conception to completion
Seniority
Associate Manager, 0-2 years experience