Principal Scientist, Applied and Translational Omics in Stevenage
Principal Scientist, Applied and Translational Omics

Principal Scientist, Applied and Translational Omics in Stevenage

Stevenage Full-Time 80000 - 120000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative analyses of complex biological data to drive impactful decisions.
  • Company: Join GSK, a global biopharma leader with a mission to improve health for billions.
  • Benefits: Competitive salary, bonuses, comprehensive health benefits, and generous leave policies.
  • Why this job: Make a real difference in drug development while advancing your career in a dynamic environment.
  • Qualifications: Advanced degree in relevant fields and programming skills in R/Python required.
  • Other info: Collaborative culture with opportunities for mentorship and professional growth.

The predicted salary is between 80000 - 120000 £ per year.

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.

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:

  • 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.

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.

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

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.

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.

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.

Principal Scientist, Applied and Translational Omics in Stevenage employer: WISE Campaign

At GSK, we are dedicated to fostering a dynamic work environment that prioritises collaboration, innovation, and personal growth. As a Principal Scientist in Applied and Translational Omics, you will have the opportunity to lead impactful projects that directly contribute to our mission of improving global health, while benefiting from comprehensive career development programmes and a supportive culture that values diverse perspectives. Our commitment to employee well-being is reflected in our competitive benefits package, including health care, retirement plans, and generous leave policies, ensuring that you can thrive both professionally and personally.
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Contact Detail:

WISE Campaign Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Scientist, Applied and Translational Omics in Stevenage

✨Tip Number 1

Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your experience with omics datasets. We want to see how you can turn complex data into clear decisions!

✨Tip Number 3

Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in the interviewer's mind and show your enthusiasm for the role.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our mission at GSK.

We think you need these skills to ace Principal Scientist, Applied and Translational Omics in Stevenage

Applied and Translational Omics
Genomic Data Analysis
Transcriptomic Data Analysis
Proteomic Data Analysis
Statistical Methods
Machine Learning
Causal Inference
Data Integration
Programming in R
Programming in Python
Quality Control
Reproducible Research
Version Control (Git)
Single-Cell Omics Analysis
Spatial Omics Analysis

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Scientist role. Highlight your experience in applied and translational omics, and don’t forget to mention any relevant projects that showcase your skills in data analysis and collaboration.

Showcase Your Skills: We want to see your programming prowess! Include specific examples of how you've used R or Python in your previous roles, especially in processing large omics datasets. This will help us understand your technical capabilities right off the bat.

Communicate Clearly: Since clear communication is key in this role, make sure your application reflects that. Use straightforward language and structure your thoughts logically. This will not only impress us but also demonstrate your ability to convey complex information effectively.

Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team at GSK.

How to prepare for a job interview at WISE Campaign

✨Know Your Omics Inside Out

Make sure you brush up on your knowledge of genomic, transcriptomic, and proteomic data. Be ready to discuss how you've applied statistical methods and machine learning in your previous work. This will show that you can lead hands-on analysis effectively.

✨Showcase Your Collaboration Skills

GSK values teamwork, so be prepared to share examples of how you've collaborated with experimental scientists and clinical teams. Highlight any experiences where your clear communication made a difference in project outcomes.

✨Demonstrate Your Problem-Solving Abilities

Think of specific challenges you've faced in your previous roles and how you overcame them. Discussing your practical problem-solving skills will resonate well with the interviewers, especially when it comes to troubleshooting data issues.

✨Prepare for Technical Questions

Expect questions about programming in R or Python, and be ready to explain your experience with omics datasets and reproducible research practices. Practising coding problems or discussing your past projects can help you feel more confident during the technical parts of the interview.

Principal Scientist, Applied and Translational Omics in Stevenage
WISE Campaign
Location: Stevenage
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  • Principal Scientist, Applied and Translational Omics in Stevenage

    Stevenage
    Full-Time
    80000 - 120000 £ / year (est.)
  • W

    WISE Campaign

    50-100
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