Principal Scientist at GSK

Stevenage, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Biology, Bioinformatics, Systems Biology, Multi-omics Integration, Machine Learning, Python, R, Statistical Modeling, Network Analysis, Spatial Transcriptomics, Deep Learning, Trajectory Inference, Oncology, Data Analysis, Clinical Data Integration, Drug Discovery

Industry

Pharmaceutical Manufacturing

Description

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 practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK Principal Scientist, Oncology Data Science Are you passionate about leveraging cutting-edge computational approaches to revolutionize our understanding and treatment of cancer? If so, this is an exciting opportunity to join GSK's Oncology team and contribute to our mission of getting ahead of disease together. Overview 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 focuses on understanding, and ultimately shaping, disease trajectories in a biologically meaningful way, directly supporting GSK's ambitious goal to deliver transformative oncology therapeutics to patients. You will work at the interface of data, biology, and experimentation, tackling real questions in close collaboration with experimental and clinical teams, with the goal of making data-driven approaches more interpretable, robust, and actionable. In this role you will Analyze 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. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: 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: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: 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 #LI-GSK Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. 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. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: #LI-GSK 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. Click the link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/ We are a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more on our career site.

Responsibilities

The role involves analyzing complex multi-omics and clinical data to characterize disease heterogeneity and model evolving biological states in cancer. You will collaborate with experimental teams to translate data-driven insights into actionable hypotheses for oncology drug discovery.