At a Glance
- Tasks: Analyse complex data to understand cancer and develop innovative therapeutic strategies.
- Company: Join GSK, a leader in transformative oncology research.
- Benefits: Flexible working culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge science and technology.
- Why this job: Make a real impact in cancer research and help shape the future of treatment.
- Qualifications: PhD in Computational Biology or related field with strong analytical skills.
The predicted salary is between 60000 - 80000 € per year.
The GSK Oncology team is seeking a highly motivated computational biologist to play a pivotal role in shifting our understanding of cancer. While many models in oncology focus solely on predicting outcomes, we are dedicated to developing new approaches that understand disease not as static labels or endpoints, but as dynamic, evolving biological states. By integrating (bulk, single cell and spatial) multi-omics and clinical data, you will characterize disease heterogeneity, model how disease changes over time and under treatment, and investigate how biological context influences treatment response and resistance. This work directly supports GSK's ambitious goal to deliver transformative oncology therapeutics to patients.
In this role you will:
- Analyse and integrate complex multi-omics and clinical data to characterize disease heterogeneity and drive decision‑making insights.
- Develop and apply advanced models that capture disease states and their evolution, to predict and influence disease trajectories.
- Investigate how biological context and underlying mechanisms influence treatment response and resistance.
- Collaborate closely with experimental scientists to generate and test mechanistic hypotheses, translating complex data into actionable insights for drug discovery.
- Contribute to the development of frameworks and computational tools that support better therapeutic decision‑making and advance our oncology portfolio.
- Communicate complex scientific findings clearly to both technical and non‑technical audiences, acting as a subject matter expert within interdisciplinary teams.
- Maintain current knowledge of advancements in cancer research, computational biology, and AI/ML methods.
Basic Qualifications & Skills
- PhD (or equivalent experience) with postdoc/industry experience in Computational Biology, Bioinformatics, Systems Biology, or a related field.
- Strong understanding of biological mechanisms and disease processes, particularly within oncology.
- Proven experience working with high‑dimensional biological data.
- Strong analytical and modeling skills, including expertise in statistical or machine learning approaches.
- Experience in systems biology and/or network analysis.
- Ability to work effectively in interdisciplinary and collaborative teams.
- Proficiency in programming languages such as Python or R for data analysis and model development.
Preferred Qualifications & Skills
- Experience with spatial transcriptomics and/or proteomics analysis.
- Experience with multi‑omics integration or trajectory inference methods.
- Familiarity with advanced machine learning methods, including deep learning.
- Experience working with perturbation or longitudinal data.
- Highly independent, eager to learn new areas, and build expertise, with a sense of accountability.
- Excellent written and oral communication skills, with the ability to present complex data to varied audiences.
Closing Date for Applications – COB 29/05/2026
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. GSK is an Equal Opportunity Employer.
Principal Scientist in Stevenage employer: ENGINEERINGUK
GSK is an exceptional employer for those passionate about advancing oncology research, offering a dynamic work environment that fosters collaboration and innovation. With a strong commitment to employee growth, GSK provides opportunities for professional development and encourages a flexible working culture that supports work-life balance. Located in a vibrant area, employees benefit from access to cutting-edge resources and a diverse team dedicated to transforming cancer therapeutics.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Scientist in Stevenage
✨Network Like a Pro
Get out there and connect with folks in the oncology and computational biology fields. Attend conferences, webinars, or local meetups to meet potential colleagues and mentors. Remember, sometimes it’s not just what you know, but who you know that can help you land that Principal Scientist role!
✨Show Off Your Skills
When you get the chance to chat with hiring managers or during interviews, make sure to highlight your experience with multi-omics data and machine learning. Share specific examples of how you've tackled complex problems in the past. This will show them you’re not just a fit on paper, but also in practice!
✨Tailor Your Approach
Before any interview, do your homework on GSK and their oncology projects. Tailor your discussions to align with their goals and challenges. This shows you’re genuinely interested and have done your research, which can set you apart from other candidates.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and serious about joining our team at GSK. Let’s get you on board!
We think you need these skills to ace Principal Scientist in Stevenage
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Scientist role. Highlight your expertise in computational biology and any relevant projects you've worked on, especially those involving multi-omics data.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about oncology and how your background makes you a perfect fit for our team. Don't forget to mention specific experiences that demonstrate your analytical and modelling skills.
Showcase Your Communication Skills:Since you'll be communicating complex scientific findings, it's crucial to demonstrate your ability to convey information clearly. Use straightforward language in your application and provide examples of how you've successfully communicated technical concepts to non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and allows us to keep track of all applicants efficiently. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at ENGINEERINGUK
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of multi-omics and clinical data relevant to oncology. Be prepared to discuss how you’ve previously analysed complex datasets and the insights you derived from them. This will show your depth of knowledge and ability to drive decision-making.
✨Showcase Your Modelling Skills
Be ready to talk about the advanced models you've developed or applied in your past work. Highlight any experience with statistical or machine learning approaches, especially in relation to disease trajectories. This is your chance to demonstrate your analytical prowess!
✨Communicate Like a Pro
Practice explaining complex scientific concepts in simple terms. You’ll need to communicate findings to both technical and non-technical audiences, so think of examples where you’ve successfully done this before. Clear communication can set you apart from other candidates.
✨Stay Current and Curious
Keep up with the latest advancements in cancer research and computational biology. Mention any recent papers or breakthroughs that excite you during the interview. Showing your enthusiasm for continuous learning will resonate well with the hiring team.
