AIML Clinical Scientist Full-time NEW

Clinical Scientist In Oncology

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.

We are seeking a Clinical Scientist with a background as a physician-scientist in oncology to join our multidisciplinary Artificial Intelligence and Machine Learning (AIML) team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering AIML advancements, setting our team apart as leaders in translational medicine.

The role is uniquely positioned to bridge clinical practice, advanced AIML research, and the Respiratory, Immunology and Inflammation Research Unit (RIIRU), with a particular emphasis on leveraging large language models (LLMs) and other emerging AIML methodologies. The successful candidate will be a training fellow, upskilling in AIML while providing essential clinical expertise to drive innovation in drug discovery and development.

You will benefit from dedicated mentorship and hands-on training in advanced AIML techniques, fostering rapid professional growth at the intersection of clinical science and artificial intelligence.

In this role you will:

• Translational Research Liaison: Act as the primary conduit for introducing new AIML methodologies to RIIRU.
• Collaborate with the World Models of Medicine team to identify AIML opportunities.
• Partner with translational science, target discovery and biomarker discovery groups to advance AIML applications.
• Clinical Development Alignment: Collaborate with RIIRU Clinical Development Leads to align objectives with strategic clinical development plans, ensuring translational research efforts remain relevant and impactful.
• Research Clinic Engagement: Dedicate one day per week to attend a research clinic, such as an internal medicine clinic, at a partner translational research network hospital. Contribute to GSK-sponsored studies, providing real-world clinical context to our research.

AIML and Innovation:

• Novel Use Case Identification: Proactively identify innovative, high-impact AIML applications in oncology, especially through LLMs, multimodal data analysis, and emerging technologies, using your understanding of clinical workflows and unmet needs.
• Product Scoping: Lead the scoping of new AIML products and projects. Define problem statements, outline clinical and scientific requirements, and collaborate with data scientists and engineers to evaluate feasibility and potential impact.
• Multimodal Data Interpretation: Work with data scientists to interpret and provide clinical context for AIML-generated insights from diverse data types, including clinical notes, pathology images, genomic data, and patient-reported outcomes.
• LLM Application and Validation: Guide the application of Large Language Models for oncology use cases such as synthesizing scientific literature, summarizing clinical trial data, and identifying novel patient cohorts or biomarkers. Provide clinical validation to ensure LLM outputs are accurate, safe, and meaningful.
• Target Identification & Biomarker Discovery: Partner with target identification and biomarker discovery teams to apply AIML in identifying and validating new therapeutic targets and predictive biomarkers, ensuring clinical utility and biological plausibility.
• Algorithmic and Methodological Strategy: Provide clinical and scientific input into AIML algorithm and computational pipeline design and strategy. Help define problems and evaluate solutions, ensuring technology is tailored to oncology research needs.

Why you:

Basic required qualifications:

• Medical degree and PhD (or equivalent) A combined medical and doctoral degree, demonstrating a strong foundation in both clinical medicine and hypothesis-driven research.
• Internal Medicine Expertise: Experience in a specific medical domain overlapping with RIIRU priority disease areas.
• Research Acumen: A strong track record of scientific publication and research in a relevant field.

Preferred qualifications and skills:

• Computational Fluency: Solid understanding of data science, machine learning, and large language models. A fast learner with curiosity for new technologies and their clinical applications.
• Systems Thinking: Ability to approach clinical problems in a structured, data-driven manner and appreciate how AIML can provide end-to-end solutions for improved efficiency and outcomes.
• Multimodal Data Experience: Familiarity with integrating diverse types of clinical and biological data.

Skills:

• Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive Modeling, Python (Programming Language), Test Documentation

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.

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