Computational Scientist II Jobs in Broad Institute in Cambridge - USA

Computational Scientist II

Broad Institute

Posted on : 17-03-2025

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1 Vacancy

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Job Location

Cambridge - USA

Monthly Salary

Not Disclosed

Salary Not Disclosed

Vacancy

1 Vacancy

Posted on : 17-03-2025

Job Description

General information

Location

Cambridge MA

Ref #

41943

Job Family

Research

Workplace

OnSite

Date published

11Mar2025

Description & Requirements

The Broad Institute of MIT & Harvard is looking for a statistical geneticist to help advance drug development and personalized medicine through massivescale 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 500000 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 publicprivate partnership involving 14 large pharmaceutical companies the Finnish government and nine Finnish biobanks and their respective hospitals universities and research institutions.

We are looking for computational scientists II with experience in largescale 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 largescale 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 diseaseassociated 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.

CHARACTERISTIC DUTIES:

Lead genetics/genomics data analysis with FinnGen genotype and rich longitudinal phenotype data (e.g. of genome/phenomewide association studies fine mapping colocalization with labQTL/eQTL/pQTL/other phenotypes)
Quality control and analysis of various omics data especially proteomics
Develop dataanalysis pipelines for robustly and reproducibly analyzing very large data sets
Under general direction develop innovative analytical methods to enable collaborators to interpret results and design followup research
Regularly communicate accomplishments and progress at project team meetings
Lead and participate in the preparation of manuscripts for publication prepare reports and present at scientific conferences
Work with the FinnGen production groups in Helsinki and at the Broad to develop analytical methodologies that will be widely distributed and shared with the scientific community utilizing FinnGen data and beyond

REQUIREMENTS:

Experience in statistical genetic analysis of GWAS data. Good practical command of a wide range of tools methods and data formats used in GWAS/sequencing studies
Ability to independently drive scientific projects from inception to publication with limited supervision
Relevant publications in highimpact scientific journals
*Good applied statistics knowledge
Good general programming skills and familiarity with tools of the trade (Linux shell scripting git etc. are must have skills. The team currently works mostly with Python and R.
PhD in computational biology bioinformatics statistics or other similar quantitative discipline or equivalent experience and 24 years of postdoctoral experience in statistical genetics required.
Experience with biological datasets preferably largescale genotyping and/or sequencing data and experience with electronic health record (EHR) are desirable
Demonstrated capability as highly organized a creative problemsolver detailoriented selfmotivated and able to work independently as well as within crossfunctional teams
Ability to adapt to rapidly changing and highdemand environments
Cloud computing experience (Google Cloud) and familiarity with Docker are an asset.
Good understanding and practical experience in data management tools (sql nosql big data) and applications are an asset

Employment Type

Full Time

Company Industry

Key Skills

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About Company

Broad Institute

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