Computational Scientist II
 Broad Institute | |
 United States, Massachusetts, Cambridge | |
 Mar 11, 2025 | |
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Description & Requirements The Broad Institute of MIT & Harvard is looking for a statistical geneticist to help advance drug development and personalized medicine through massive-scale genetic and proteomic analyses.The Broad Institute of MIT & Harvard, a world leader in genomics research, is looking for an exceptional candidate to join a research program that will use large biobank data, produced in our collaborations with Finland and other initiatives. FinnGen is a unique research project that aims to combine genomic information of 500,000 participants with their healthcare data from national registries in search of the next breakthroughs in disease prevention, diagnosis, and treatment The FinnGen project is a public-private partnership involving 14 large pharmaceutical companies, the Finnish government and nine Finnish biobanks and their respective hospitals, universitie,s and research institutions.
We are looking for computational scientists II with experience in large-scale statistical genetic analyses (e.g., GWAS, omics, colocalization) to join the FinnGen data analysis team housed at the Broad Institute. The FinnGen Data analysis team constructs and implements analysis pipelines for the core project analyses and provides support for more tailored analyses together with other FinnGen production teams. The Data Analysis Team has members both at Broad and at the Institute for Molecular Medicine Finland at the University of Helsinki who work closely together. The successful candidate will join an interdisciplinary team of computational biologists, bioinformaticians, software engineers, geneticists, and clinicians.
The candidate will perform large-scale genetic data analyses utilizing Finnish national health care registries to understand how genetic variation contributes to various disease outcomes throughout individual lifetimes. Proteomics and longitudinal clinical lab values will be a specific focus in the next phase of FinnGen in both understanding the functional mechanisms of disease-associated variants, as well as in evaluating proteins as predictors of incident disease or as biomarkers of disease progression. A unique opportunity in FinnGen is the availability of clinical longitudinal lab measurements for each FinnGen individual for the past 10 years, however, many analyses will be conducted across multiple biobank resources such as UK Biobank and AllOfUs. The candidate will develop analysis pipelines for core consortium analyses and other human genetics projects.
Responsibilities of the position include e.g. quality control of genetic data, downstream analyses of pheWAS (e.g. colocalization, finemapping), result visualization and reporting, and evaluation and application of published statistical methods for genetic analyses. The successful candidate will also independently drive scientific projects utilizing rich phenotypic data available in FinnGen to scientific publications under general guidance and focusing on main medical interest areas of the group.
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