At a Glance
- Tasks: Lead innovative data science solutions in real-world evidence generation for drug development.
- Company: Join GSK, a global biopharma leader dedicated to advancing health.
- Benefits: Competitive salary, bonuses, comprehensive health benefits, and generous leave policies.
- Other info: Collaborative culture with opportunities for mentorship and professional growth.
- Why this job: Make a real impact on healthcare by pioneering cutting-edge AI and data science technologies.
- Qualifications: PhD in Data Science or related field with extensive experience in healthcare.
The Senior Director Data Science Innovation Lead will pioneer transformative solutions in real-world evidence generation in the Real-World Data, Measurement, and Analytics (RWDMA) organization, supporting the entire drug development life cycle from early development to late-phase clinical trials and post-approval market access and reimbursement. Leveraging the latest advancements in data sciences, such as multimodal AI, generative AI, knowledge graphs, causal AI and agentic AI, the Data Science Innovation Lead will develop and optimize statistical methodologies in comparative effectiveness analyses, precision medicine, predictive modelling, and evidence synthesis. In addition, the Innovation Lead will support AI-driven automation tools and deployment of intelligent systems for more efficient data processing and automate complex data analyses and QC processes, thereby accelerating development timelines while ensuring compliance with regulatory standards.
Key Responsibilities
- Data Science Strategy & Leadership: Align RWDMA Data Science initiatives with RWD organizational drug development goals, regulatory requirements (e.g., FDA, EMA), and payer expectations, ensuring strategic impact and compliance, particularly in RWD analytics. Lead RWDMA Data Science through a matrix organization, collaborating with biostatisticians, clinical and other subject matter experts, and regulatory specialists to lead innovative applications of Data Science in RWE generation and embed Data Science into RWD workflows to improve efficiency of data processing and analysis.
- Innovative Applications of Data Science in RWE Generation: Design customized Data Science models tailored to specific RWD analytic applications, including: Comparative Effectiveness, Precision Medicine, Predictive Modelling, and Evidence Synthesis.
- Automation & Process Optimization: Automate coding, including clinical coding and patient identification, and quality control (QC) processes using AI-driven anomaly detection and pattern recognition to ensure the validity of statistical programs, as well as data integrity across large-scale RWD datasets. Develop Natural Language Processing (NLP) tools to automate the creation, review, and validation of analytic plans and protocols, ensuring compliance with regulatory and payer standards.
- Data Strategy: In alignment with DDF and D3 initiatives and the RWDSP team, assess the gaps in data needs in RWD and use potential Data Science applications to inform data strategy. Collaborate with the RWDSP, DDF, and data tech teams to optimize RWD storage, management, and access control to optimise RWD analytical workflows.
- Collaboration & Thought Leadership: Mentor team members in advanced Data Science methodologies, fostering a culture of innovation and technical excellence across real world biostatistics, digital measurement, and other focus areas. Spearhead methodological innovation and development in RWD Data Science, providing opportunities for mentoring and professional growth of junior RWDMA staff.
Qualifications
- PhD in Data Science, Biostatistics, Computer Science, or a related field.
- 15+ years in healthcare and life sciences, with significant exposure to pharmaceutical and/or medical device industries.
- 10+ years in clinical development or RWE generation within regulated environments, including hands-on leadership of Data Science projects.
- Demonstrated success in deploying DataOps, ModelOps, or MLOps pipelines in cloud platforms (e.g., Azure, AWS).
Technical Skills:
- Expertise in statistical modelling, AI and machine learning techniques (e.g., Convolutional Neural Networks [CNNs], Recurrent Neural Networks [RNNs], Transformers).
- Proficiency in generative AI (e.g., LLMs, RAG, GANs, VAEs, and diffusion models) and the technical stack and tools (e.g., LangChain, LlamaIndex, CrewAI).
- Strong programming skills in Python, R, TensorFlow, PyTorch, and experience with cloud tools (e.g., Azure ML, AWS SageMaker), containerization (Docker), and version control (GitHub).
- Familiarity with multi-domain real-world data (e.g., clinical records, imaging, genomics, wearables, unstructured text).
Achievements:
- Proven track record of innovation in Data Science applications for healthcare, evidenced by publications, patents, or industry recognition.
- Experience navigating ethical, privacy, and regulatory challenges in AI-driven healthcare solutions.
Senior Director, Data Science Innovation Lead in London employer: Gsk
GSK is an exceptional employer, offering a dynamic work environment in Waltham, Massachusetts, where innovation meets purpose. With a strong commitment to employee growth, GSK provides comprehensive benefits, including health care, retirement plans, and generous leave policies, fostering a culture that prioritises collaboration and accountability. As a leader in biopharma, GSK empowers its employees to make a meaningful impact on global health while advancing their careers in cutting-edge data science and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Director, Data Science Innovation Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like 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 recent projects and how they align with your skills in data science innovation. Tailor your responses to show how you can contribute to their goals.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and boost your confidence. Focus on articulating your experience with AI, machine learning, and data strategies clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in joining our team at GSK and being part of something impactful.
We think you need these skills to ace Senior Director, Data Science Innovation Lead in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Director, Data Science Innovation Lead role. Highlight your experience in data science and how it aligns with the job description. We want to see how your skills can contribute to our mission!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've driven innovation in data science or improved processes in your previous roles. This will help us see the impact you can bring to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication that gets to the heart of your qualifications and experiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Gsk
✨Know Your Data Science Inside Out
Make sure you’re well-versed in the latest advancements in data science, especially those mentioned in the job description like multimodal AI and predictive modelling. Brush up on your statistical methodologies and be ready to discuss how you've applied these techniques in real-world scenarios.
✨Showcase Your Leadership Skills
As a Senior Director, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully led data science projects and collaborated with cross-functional teams. Highlight your experience in fostering innovation and technical excellence.
✨Prepare for Technical Questions
Expect to face technical questions that assess your expertise in AI and machine learning techniques. Be ready to discuss your experience with tools like Python, TensorFlow, and cloud platforms. Practise explaining complex concepts in a way that's easy to understand.
✨Align with Company Values
GSK values ambition for patients and accountability. Research their culture and think about how your personal values align with theirs. Be prepared to discuss how you can contribute to their mission of positively impacting health at scale.
