Computational biologist-Applied and Translational Omics jobs in United States
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GSK · 13 hours ago

Computational biologist-Applied and Translational Omics

GSK is a global biopharma company aiming to positively impact the health of 2.5 billion people by the end of the decade. The role involves applying computational and analytical skills to translate omics data into insights that drive discovery and development, collaborating with various teams to design analyses and integrate datasets.

BiotechnologyHealth CarePharmaceutical
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H1B Sponsor Likelynote

Responsibilities

Design, implement and run reproducible analyses of genetic, transcriptomic, proteomic, and other omics datasets
Integrate multi-omic and clinical data to identify candidate targets, biomarkers, and patient subgroups
Interpret results clearly and present findings to scientists and decision-makers in written and verbal formats
Collaborate with experimental teams to plan analyses that inform study design and follow-up experiments
Maintain data quality, metadata standards, and best practices for reproducible research
Work hands-on with patient derived large-scale and diverse omics datasets, including single-cell and spatial omics
Apply statistical, machine learning, and causal inference methods to answer translational questions
Develop scripts and workflows following FAIR principles
Troubleshoot data issues and ensure rigorous QC and documentation for analyses
Mentor junior colleagues and contribute to a collaborative, curious, and respectful team culture
Keep up to date with methods and tools and evaluate new approaches for adoption

Qualification

Computational biologyRPythonSingle-cell omicsSpatial omicsProteomics analysisStatistical methodsMachine learningCausal inferenceData integrationCloud environmentsCommunication skillsTeam collaboration

Required

Advanced degree (PhD) in computational biology, genetics, or biological sciences
Experience in R and/or Python for data analysis and scripting
Experience with single-cell, spatial omics, or proteomics analysis workflows
Track record of producing reproducible analyses and version-controlled code (e.g., Git)

Preferred

Background in neurodegeneration and knowledge of the neurodegeneration data landscape would be preferred but not strictly required
Experience integrating omics with clinical or real-world data
Familiarity with cloud or distributed compute environments (e.g., BigQuery, Spark, Nextflow, Docker)
Publication record or evidence of influencing research direction through analytical contributions
Strong communication skills and experience working in multidisciplinary teams

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