Principal Scientist, Applied and Translational Omics jobs in United States
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GSK · 12 hours ago

Principal Scientist, Applied and Translational Omics

GSK is a global biopharma company with a mission to unite science, technology, and talent to positively impact the health of 2.5 billion people by the end of the decade. The Principal Scientist in Applied and Translational Omics will lead analyses that transform complex biological data into actionable insights, collaborating with various teams to guide experiments and ensure high-quality data practices.

BiotechnologyHealth CarePharmaceutical
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H1B Sponsor Likelynote

Responsibilities

Design and run reproducible analyses of genomic, transcriptomic, proteomic and other omics datasets
Integrate multi-omic and clinical data to prioritize targets, nominate biomarkers, and define patient subgroups
Build, validate and productionize analysis pipelines and tools that support cross-functional teams
Communicate results clearly and make practical recommendations to project teams and decision-makers
Collaborate with laboratory and clinical colleagues to design analyses that guide experiments and studies
Ensure data quality, metadata standards, documentation and reproducible research practices
Lead hands-on analysis of large, diverse omics datasets, including bulk and single-cell data
Apply statistical methods, machine learning, and causal inference to answer translational questions
Develop scripts, workflows, and software artifacts that follow reproducible research and FAIR principles
Troubleshoot data issues, perform rigorous quality control and document analysis steps
Mentor junior scientists and contribute to a collaborative and respectful team culture
Monitor new methods and tools and evaluate them for adoption in projects

Qualification

Computational biologyOmics data analysisStatistical methodsProgramming in R/PythonData integrationMachine learningReproducible researchGenomics file formatsClear communicationCollaborationMentoringProblem solving

Required

Advanced degree (Master's with relevant experience or PhD preferred) in computational biology, bioinformatics, genetics, biostatistics, or related field
Programming experience in R and/or Python for data analysis and scripting
Experience processing and analyzing large omics datasets, including quality control and normalization
Experience with common genomics file formats and tools (for example VCF, BAM/FASTQ, single-cell data structures)
Experience reproducible analyses and use of version control (for example Git)

Preferred

Clear communication skills and experience working in multidisciplinary teams
Experience integrating omics with clinical or real-world data for translational analyses
Familiarity with cloud or distributed compute environments (BigQuery, Spark, Nextflow, Docker)
Knowledge of statistical genetics, genome-wide association studies and post-GWAS methods
Experience with single-cell, spatial omics, or proteomics analysis workflows
Experience productionising pipelines or contributing to shared analysis platforms
Evidence of influencing research through publications or major project contributions

Benefits

Comprehensive benefits program GSK offers US employees

Company

We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia

H1B Sponsorship

GSK has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (56)
2023 (54)
2022 (53)
2021 (54)
2020 (72)

Funding

Current Stage
Public Company
Total Funding
$25.51M
Key Investors
CARB-X
2021-03-02Grant· $18M
2020-09-23Grant· $7.51M
1978-01-13IPO

Leadership Team

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Julie Brown
CFO
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Mike Elmore
SVP & Chief Information Security Officer, GSK
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Company data provided by crunchbase