Physician Director Oncology Data Science - Translational Science at GSK

Upper Providence Township, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Oncology, Data Science, Translational Science, AI/ML, Computational Biology, Clinical Development, Biomarker Strategy, Genomics, Data Analysis, Statistical Methods, Bioinformatics, Scientific Strategy, Leadership, Python, R, Survival Analysis

Industry

Pharmaceutical Manufacturing

Description

Nazwa biura: USA - Pennsylvania - Upper Providence Posted Date: Mar 19 2026 Are you looking for an opportunity to lead a Translational Data Science team within Oncology Data Science (ODS) in GSK’s Translational Development and Sciences department and aid in the discovery and development of new cancer medicines? If so, this is the job for you. As a Physician Director of the ODS Translational team in the Oncology Data Science you will lead, plan and coordinate applied AI/ML and computational biology projects in partnership with discovery, translational and clinical functions across GSK. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others. Your work will have application across Oncology tumor strategy areas and across all stages of drug discovery and clinical development to inform target and biomarker discovery, disease and mechanistic understanding, indication and patient subgroup selection, and treatment response optimization using precision medicine approaches. GSK’s Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following: Lead and build a growing team of Translational Data Scientists to support and innovate the Oncology portfolio pipeline Leverage your clinical training and experience to translate complex computational and molecular insights into clinically meaningful hypotheses, study designs, and biomarker strategies that directly inform patient care and oncology clinical development Contribute scientific expertise and design to multiple drug discovery or development efforts across oncology Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics Individually contribute with analyses and integration of complex cancer datasets. This includes analysis of histopathology imaging data, gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and structural variants Apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results. Conduct survival analysis to assess the impact of various factors on patient outcomes Lead the development and use of bioinformatics pipelines Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams. Communicate complex scientific findings clearly to both technical and non-technical audiences. Maintain current knowledge of advancements in cancer research and computational biology. Effectively communicate findings to appropriate senior GSK internal groups Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development Define and execute a coordinated and highly influential scientific strategy Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: medical degree Completion of a clinical residency program leading to board qualification or certification in internal medicine, pathology, pediatrics is required 10 years plus academic or industry experience in Computational Biology, Bioinformatics, or Translational/Clinical AI with focus on Oncology 5 years of leadership or matrix leadership experience in Computational Biology, Applied AI/ML, Cancer Biology or a related field Preferred Qualifications: If you have the following characteristics, it would be a plus: A medical degree with PhD is preferred Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings Strong understanding of cancer biology and the drug discovery process. Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control. Experience with multimodal foundation models for preclinical and clinical application in oncology Experience working with large-scale oncology datasets (e.g., RWE, TCGA, CPTAC and multiomic data integration Understanding of statistical methods, machine learning and/or AIML algorithms, and survival analysis techniques. Expertise and experience in integrating translational and real-world clinical and ‘omics data with preclinical data for target discovery, biomarker and patient selection strategies A strong publication track record and internationally recognized research experience Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry Demonstrated ability to coordinate outputs from several expertise areas to determine strategy Proven track record of effecting substantial change Ability to make decisions Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity Ability to influence others Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. 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. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com. 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. 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/

Responsibilities

This role involves leading and building a Translational Data Science team within Oncology Data Science to support the pipeline, leveraging clinical training to translate computational insights into clinically meaningful hypotheses and study designs. The director will also contribute scientific expertise across drug discovery and development efforts and drive long-term scientific strategy in Oncology Genomics.