At a Glance
- Tasks: Lead translational data science to drive drug discovery using human genetics and multi-omic data.
- Company: Join GSK, a global biopharma company with a mission to impact 2.5 billion lives by 2030.
- Benefits: Enjoy a hybrid working model, competitive salary, and opportunities for career growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on innovation.
- Why this job: Make a real difference in healthcare by uniting science, technology, and talent.
- Qualifications: PhD in data science or related field, strong programming skills, and experience with large datasets.
The predicted salary is between 90000 - 110000 £ 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.
This role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.
You will lead translational data science efforts that turn human genetics and multi-omic data into clear decisions for drug discovery. You will work closely with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams. 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 rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.
- Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.
- Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.
- Translate analytic results into clear recommendations for project teams and leaders.
- Collaborate across functions and with external partners to shape study design, data generation and interpretation.
- Mentor and support junior colleagues to share methods, standards and practical best practice.
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree.
- PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.
- Strong hands-on experience analysing large-scale genetic and multi-omic datasets.
- Proficient programming skills in Python and experience with reproducible workflows and version control.
- Experience integrating molecular data with clinical or phenotypic data to answer translational questions.
- Proven ability to communicate complex results clearly to scientific and non-technical audiences.
- Willingness and ability to work in a hybrid model with regular on-site presence in the United Kingdom as required by the Performance with Choice policy.
If you have the following characteristics, it would be a plus:
- Track record of peer-reviewed publications or major scientific contributions in genetics or translational genomics.
- Experience with cloud or distributed computing platforms and large-scale data processing tools.
- Familiarity with causal inference, biomarker discovery, and patient stratification methods.
- Experience with single-cell, spatial omics, proteomics or other emerging molecular technologies.
- Experience working within multi-disciplinary project teams in industry or academia.
- Experience contributing to production-ready pipelines or shared analysis platforms.
This role is based in the United Kingdom. The position is offered on a hybrid working model that combines time working remotely and time in office to support collaboration and development.
We welcome applicants from all backgrounds. If this role matches your skills and interests, please apply and tell us how your experience maps to the responsibilities and qualifications above. We look forward to learning about the impact you could make at GSK.
Principal Scientist, Translational Data Sciences in Stevenage employer: Gsk
GSK is an exceptional employer located in Greater London, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As a Senior FinOps Product Manager, you will have the opportunity to drive impactful projects while benefiting from robust employee growth opportunities and a culture that values diverse perspectives. With a commitment to professional development and a focus on agile methodologies, GSK empowers its employees to thrive in their careers while contributing to meaningful advancements in cloud financial management.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Scientist, Translational Data Sciences in Stevenage
✨Get Involved in Local Research Communities
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Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Gsk!
We think you need these skills to ace Principal Scientist, Translational Data Sciences in Stevenage
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Gsk that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Gsk.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Gsk does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Gsk
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Gsk. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Gsk's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Gsk. This shows your passion for the industry!
