Principal Scientist Applied and Translational Omics

WISE Campaign; Stevenage; On-site; GBP 88,000 - 148,000; Full time

Job summary

A global biopharma company in Stevenage is seeking a candidate to lead applied analyses of omics datasets. This role involves integrating multi-omic data and applying statistical methods for translational results. A Master's or PhD in a relevant field is required, along with programming experience in R or Python. The position offers significant career advancement opportunities and participation in innovative drug development processes. A commitment to collaboration and mentorship within a multidisciplinary environment is essential.

Benefits

Annual bonus

Share-based long-term incentive program

Health care benefits

Paid holidays and vacation

Qualifications

• Advanced degree in a relevant field.
• Experience with programming for data analysis.
• 1+ years in single-cell and spatial omics workflows.
• Ability to work in multidisciplinary teams.

Responsibilities

• Lead applied analyses of omics datasets.
• Collaborate with teams to design data analyses.
• Conduct statistical methods and machine learning.
• Mentor junior scientists and document workflows.

Skills

Programming in R

Programming in Python

Statistical modeling

Quality control

Data analysis

Machine learning

Education

Master's or PhD in computational biology, bioinformatics, genetics, or related field

Tools

Git

Omics data analysis tools

Job description

Overview

Job description

Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage

Posted Date: Feb 3 2026

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Position Summary

You will lead applied and translational omics analyses that turn complex biological data into clear decisions. You will work with experimental scientists, data engineers, and clinical teams to design analyses and integrate multi-omic and clinical data. We value clear communication, practical problem solving, curiosity, and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together.

This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:

• 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.

Key Responsibilities:

• 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.
• Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data.
• Help drive the evaluation and development, and lead the application, of analytics methods for spatial and single cell omics in the context of clinical studies.
• Work within or lead cross-functional project teams with GSK scientists and external collaborators, focusing on impacting clinical study and biomarker decisions across respiratory, immunology, infectious disease, neurodegeneration or metabolic disease.
• Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams.
• Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills.

Additional responsibilities include advancing analytics in spatial and single-cell omics within clinical studies and collaborating across cross-functional teams to support biomarker decisions.

Why You?

Basic Qualifications:

• 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).
• 1+ years of experience with single-cell and spatial omics analysis workflows.

Preferred Qualifications:

• Clear communication skills and experience working in multidisciplinary teams.
• Experience integrating omics with clinical or real-world data for translational analyses.
• Experience productionizing pipelines or contributing to shared analysis platforms.
• Evidence of influencing research through publications or major project contributions.
• Proven ability to derive and apply novel insights from these and other emerging genomic technologies.
• Ability to critically evaluate cutting-edge tools and frameworks for single-cell and spatial data analysis, integration, visualization, and interpretation, and their application to clinical development.
• Proven expertise in statistical modelling, hypothesis testing, and data-driven inference.
• Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers.
• Experience with clinical trial data analysis and working in a regulatory environment.

Notes: This position requires on-site attendance in accordance with GSK's Performance with Choice policy.

Salary and benefits: If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $121,275 to $202,125. The US salary ranges take into account factors including location, skills, experience, and market rate. This position offers an annual bonus and eligibility to participate in our share-based long-term incentive program. Available benefits include health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

Please visit the GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [e-mail] where you can also request a call. If your inquiry does not relate to adjustments, we will not be able to support you through these channels.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, pregnancy, gender identity, or sexual orientation, parental status, national origin, age, disability, or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.