At a Glance
- Tasks: Use cutting-edge computational methods to support drug discovery in Hepatology.
- Company: Join a leading health sciences company focused on innovative solutions.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on creativity and innovation.
- Why this job: Make a real impact in drug development while working with advanced technologies.
- Qualifications: Experience in computational biology and strong analytical skills required.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a talented and motivated individual to join our team as a Principal Scientist in Translational Omics (TO). The successful candidate will have demonstrated experience with diverse data types (e.g., genetics, transcriptomics, histopathology imaging) and state‑of‑the‑art computational biology methods applied to biological, translational, and/or clinical questions in drug discovery and development. The Principal Scientist will inform genomics analysis, interpretation and project impact in Hepatology and related biology, using both internal and external data to address scientific questions, and communicate results to peers and leaders.
Key Accountabilities / Responsibilities
- Apply expertise in -omics and imaging and use state‑of‑the‑art computational methods to support the discovery and development of new medicines.
- Generate and evaluate genomic/histopathology imaging evidence to support therapeutic target and/or biomarker hypotheses and mechanistic understanding.
- Identify and evaluate relevant internal and external data sets for analysis.
- Provide clear and concise communication of results and interpretation to peers and leaders.
- Collaborate effectively in multi‑disciplinary teams to answer complex scientific questions.
- Demonstrate initiative in identifying and implementing creative, state‑of‑the‑art analytical solutions to address challenging scientific questions.
- Work with agility to adapt rapidly to changing priorities and timelines.
Qualifications, Knowledge, Skills and Experience
- Demonstrable translational expertise in Hepatology and MASH, including in vitro, in vivo and in silico work, complemented by a clear understanding of clinical data and disease.
- Strong analytical competence with ability to interpret results across multiple data types.
- Experience working across academia and industry collaborations.
- Effective collaboration with Pathologists and AI‑based image analysis across platforms (PathAI, HistoIndex and PharmaNEST).
- Demonstrated experience writing R or Python code to impact analyses.
- Demonstrated understanding of internal and external data landscape to address and impact a range of scientific questions.
- Excellent communication skills to convey complex scientific concepts to peers and leaders.
- Proactive and innovative mindset with ability to identify and implement creative solutions.
- Strong problem‑solving and analytical skills.
- Ability to work with agility and adapt to changing priorities and timelines.
- Passion for advancing the science of drug target identification and validation.
How to Apply
We welcome applications from people with different backgrounds and experiences. Please apply and briefly describe how your skills and experience match the responsibilities and qualifications listed.
Closing Date for Applications – 20/05/2026
Equal Opportunity Employer GSK is an Equal Opportunity Employer and ensures that all qualified applicants receive equal consideration without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any other basis prohibited under federal, state, or local law.
Computational Biologist employer: Gsk
At GSK, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of health sciences. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages diverse perspectives. Located in a vibrant area, our team thrives on tackling complex scientific challenges while contributing to meaningful advancements in drug discovery and development.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Biologist
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend conferences, webinars, or local meetups related to computational biology. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving -omics and imaging. We love seeing real examples of your work, so make sure to highlight your coding skills in R or Python too!
✨Tailor Your Approach
When you’re reaching out to potential employers, tailor your message to each company. Mention specific projects or values that resonate with you. We appreciate when candidates show they’ve done their homework and understand our mission in drug discovery.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you can easily keep track of your application status and any updates from us.
We think you need these skills to ace Computational Biologist
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experience align with the role of Principal Scientist in Translational Omics. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Experience:Don’t just list your previous roles; explain how your experience with diverse data types and computational methods has prepared you for this position. We want to see how you've tackled similar challenges in the past!
Communicate Clearly:Since effective communication is key, ensure your application is clear and concise. Avoid jargon unless necessary, and make it easy for us to see how you can convey complex scientific concepts to peers and leaders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Gsk
✨Know Your Data Types
Make sure you brush up on the diverse data types mentioned in the job description, like genetics and transcriptomics. Be ready to discuss how you've applied computational biology methods to these areas in your previous work.
✨Showcase Your Collaboration Skills
Since the role involves working with multi-disciplinary teams, think of examples where you've successfully collaborated with others, especially in academia or industry. Highlight any experience you have with Pathologists or AI-based image analysis tools.
✨Communicate Clearly
Prepare to explain complex scientific concepts in a straightforward manner. Practice summarising your past projects and findings so that you can convey your results effectively to peers and leaders during the interview.
✨Be Innovative
Demonstrate your proactive mindset by thinking of creative solutions to scientific questions. Come prepared with examples of how you've identified and implemented innovative analytical approaches in your previous roles.
