Computational Biologist in Stevenage

Computational Biologist in Stevenage

Stevenage Full-Time 60000 - 80000 € / year (est.) Home office (partial)
GlaxoSmithKline

At a Glance

  • Tasks: Join our team to apply cutting-edge computational biology in drug discovery and development.
  • Company: GSK, a global biopharma leader focused on innovative medicines and vaccines.
  • Benefits: Competitive salary, annual bonus, healthcare, hybrid working model, and career growth opportunities.
  • Other info: Inclusive culture that values diverse backgrounds and promotes agile working.
  • Why this job: Make a real impact on health by advancing drug target identification and validation.
  • Qualifications: Experience in translational biology, strong analytical skills, and coding proficiency in R or Python.

The predicted salary is between 60000 - 80000 € per year.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Job Purpose

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 in diverse data types e.g. genetics, transcriptomics, histopathology imaging, in state-of-the-art computational biology methods and its application to biological, translational and/or clinical questions in drug discovery and development. The Principal Scientist will be expected to inform genomics analysis, interpretation and project impact in Hepatology and relevant biology as well as using their knowledge of the internal and external data landscape to address scientific questions. They will be communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions.

Key Accountabilities / Responsibilities:

  • Apply expertise in -omics and imaging and use of relevant state-of-the-art computational methods as well as pertinent knowledge of disease and biology to support the discovery and development of new medicines.
  • Generate and evaluate genomic/histopathology imaging evidence to support therapeutic target and/or biomarker hypotheses as well as mechanistic understanding.
  • Identify and/or evaluate relevant internal and external data sets for analyses.
  • 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 and 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 and 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 to write 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 effectively convey complex scientific concepts to peers and leaders.
  • Experience working in multi-disciplinary teams to answer scientific questions.
  • Proactive and innovative mindset with the 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. If this role speaks to you, please apply and tell us briefly how your skills and experience match the responsibilities and qualifications listed. We look forward to hearing from you.

Closing Date for Applications – 20/05/2026

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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. 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 (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

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.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.

Computational Biologist in Stevenage employer: GlaxoSmithKline

At GSK, we foster a dynamic and inclusive work environment where employees can thrive and contribute to groundbreaking advancements in healthcare. With competitive salaries, comprehensive benefits, and a commitment to employee growth through our Performance with Choice programme, we empower our team members to achieve a healthy work-life balance while making a meaningful impact on global health. Join us in our mission to unite science, technology, and talent to get ahead of disease together, all while enjoying the unique advantages of working in a leading biopharma company.

GlaxoSmithKline

Contact Detail:

GlaxoSmithKline Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Computational Biologist in Stevenage

Tip Number 1

Network like a pro! Reach out to people in your field, attend industry events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you tailor your responses and show that you're genuinely interested in being part of their team.

Tip Number 3

Practice your communication skills! Whether it's explaining complex scientific concepts or discussing your past projects, being able to convey your ideas clearly is key. Consider doing mock interviews with friends or mentors to get comfortable.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining our team. So, get your application in and let’s make some science happen together!

We think you need these skills to ace Computational Biologist in Stevenage

Translational Expertise in Hepatology
Genomics Analysis
Data Interpretation
Computational Biology Methods
Histopathology Imaging
R Programming
Python Programming

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for computational biology shine through! We want to see how your passion aligns with our mission at GSK and how you can contribute to advancing drug discovery.

Tailor Your Experience:Make sure to highlight your relevant experience in genomics, transcriptomics, and any state-of-the-art computational methods you've used. We love seeing how your background fits the role, so don’t hold back on those details!

Be Clear and Concise:We appreciate straightforward communication, so keep your application clear and to the point. Use bullet points if it helps convey your skills and experiences effectively—this makes it easier for us to see your fit for the role.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, you’ll find all the info about our company culture and benefits there!

How to prepare for a job interview at GlaxoSmithKline

Know Your Data Types

Make sure you brush up on your knowledge of various data types like genetics, transcriptomics, and histopathology imaging. Be ready to discuss how you've applied these in past projects, as this will show your expertise and relevance to the role.

Communicate Clearly

Practice explaining complex scientific concepts in simple terms. The interviewers will want to see if you can convey your results and interpretations effectively to both peers and leaders, so think about how you can make your communication clear and concise.

Show Your Collaborative Spirit

Prepare examples of how you've worked in multi-disciplinary teams. Highlight your experience collaborating with pathologists and using AI-based image analysis tools. This will demonstrate your ability to work well with others and tackle complex scientific questions.

Be Ready for Agility

Expect questions about how you handle changing priorities and timelines. Share specific instances where you've had to adapt quickly in your previous roles, showcasing your proactive and innovative mindset that aligns with the company's values.