Scientist I, Biomedical Informatics

Biogen SANDBOX • Cambridge, MA

3d

About The Position

The Translational Biology Organization in Research and Early Development at Biogen is responsible for providing and analyzing genetic, genomic, cellular and in vivo data to support target validation and the therapeutic rationale for Biogen’s drug discovery research teams and clinical development programs. We are seeking for a talented scientist to develop and apply statistical and machine learning methods to large-scale clinical and molecular profiling datasets. The scientist will work in a team adding expertise to the R&D organization on how to develop and apply cutting-edge approaches to discover and validate novel biomarkers and tools to stratify patient cohorts based on genetic and genomic data. Integrative analysis of clinical, imaging and molecular (genetics, transcriptomics, proteomics, metabolomics, microbiome) data from research cohorts and clinical trials improves our understanding of the biological mechanisms impacting disease risk, heterogeneity and progression. We also use such data to identify relevant subgroups for novel drug and biomarker discovery and clinical trial design. The successful candidate will perform integration of high-dimensional data from public databases, internal cohorts and patient registries, using statistical analysis, machine learning and knowledge-graphs to generate hypotheses on causal pathways and to develop tools for clinical decision-making. Biogen has made substantial investments in external partnerships and collaborations and a focus of the Biomedical informatics group will be how to best leverage these resources. This includes leveraging data from the MS PATHS initiative (a longitudinal Phase 0 study to collect standardized real-world health data from a large Multiple Sclerosis patient cohort), the UK Biobank Life Sciences Consortium (that by 2019 will have generated whole-exome sequencing data on 500,000 UK Biobank participants), FinnGen (a precompetitive partnership generating genotypes on 500,000 Finns with longitudinal health data), as well as other public and proprietary resources to initiate novel and enhance existing drug development programs. The scientist will work cross-functionally with computational systems biologists, therapeutic area research scientists, translational science and clinical teams and will engage with the external research community to further our understanding of neurological diseases at a molecular level and to drive innovation in computational tools for drug development. #LI - ML2

Requirements

• 2+ years of post-graduate experience analyzing biological and/or medical data sets
• A thorough understanding of molecular biology and profiling technologies (whole-exome sequencing, bulk tissue and single-cell RNA-seq, targeted proteomics platforms, imm

Responsibilities

• Integration of high-dimensional data from public databases, internal cohorts and patient registries, using statistical analysis, machine learning and knowledge-graphs to generate hypotheses on causal pathways and to develop tools for clinical decision-making.
• Work cross-functionally with computational systems biologists, therapeutic area research scientists, translational science and clinical teams
• Engage with the external research community to further our understanding of neurological diseases at a molecular level and to drive innovation in computational tools for drug development.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees