Genomics Analytics Lead – Target Discovery

Regeneron Pharmaceuticals, Inc

Village of Tarrytown (NY)

On-site

USD 110,000 - 179,000

Full time

14 days+
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Job summary

Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron’s therapeutic programs. This individual contributor role conducts analyses of large-scale genetic and phenotypic datasets for discovery and validation of new therapeutic targets, drawing on in-house and public data resources.

The role integrates genetic data with multi-omic datasets, develops methods for data harmonization and normalization, applies

Qualifications

  • PhD with omics data analysis experience or related field.
  • Experience analyzing large-scale genetic and phenotypic data.
  • Strong programming and statistical skills.

Responsibilities

  • Conduct GWAS/EXWAS and other genetic association analyses on large datasets.
  • Integrate genetic data with multi-omic datasets for target discovery and validation.
  • Develop methods for data harmonization and normalization across datasets.
  • Apply functional genomic data to prioritize variants and genes of interest.
  • Perform quality control on large-scale genetic and phenotypic data.
  • Identify and test data-driven hypotheses in analytic and translational genetics work.
  • Design and execute analytic studies from conception to completion.
  • Collaborate with Regeneron R&D groups to advance therapeutic programs.

Skills

Python
R
C/C++
Bash
Julia

Education

PhD (Genomics)

Tools

Git/Github
Claude
Adobe
Docker

Job description

Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron’s therapeutic programs. This individual contributor role conducts analyses of large-scale genetic and phenotypic datasets for discovery and validation of new therapeutic targets, drawing on in-house and public data resources.

The role integrates genetic data with multi-omic datasets, develops methods for data harmonization and normalization, applies

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