Director, Data Science - DDSAI - Therapeutics Discovery
At a glance
AI generatedTL;DR
The Director of Data Science at Johnson & Johnson’s Innovative Medicine division in Cambridge, MA, leads the design and deployment of Autonomous Learning and Closed-Loop Optimization capabilities within Therapeutics Discovery. This role involves integrating lab-generated data with computational models and MLOps infrastructure to create a learning loop that informs future experiments and enhances molecule synthesis. The director will collaborate closely with scientific leaders, IT teams, and other data science groups to develop self-improving discovery systems using advanced AI techniques such as Bayesian optimization and reinforcement learning. Key responsibilities include defining the Autonomous Learning strategy, scaling closed-loop workflows, ensuring model production-readiness through MLOps practices, and fostering cross-functional collaboration across Discovery Technologies & Molecular Pharmacology and IT teams. The ideal candidate holds a PhD in Computational Biology or related fields with 8-12+ years of experience in drug discovery and AI integration, along with expertise in MLOps and scalable data platforms.
Skills
What you'll do
- Define and execute the TD Autonomous Learning strategy to accelerate decision-making and improve experimental efficiency.
- Lead integration of lab instrumentation data with predictive models and optimization algorithms for closed-loop systems.
- Develop and scale closed-loop workflows connecting experiment execution, data capture, model training, and design recommendations.
- Ensure production-grade models are reproducible and monitored through robust MLOps practices in regulated environments.
- Collaborate with TD groups to embed autonomous learning into real discovery workflows and scale successful approaches beyond TD.
What we're looking for
- PhD or equivalent in Computational Biology, Chemistry, Engineering, AI/ML, Applied Mathematics, Statistics.
- 8–12+ years of experience applying data science and AI in drug discovery.
- Proven expertise in deploying ML/AI models integrated with experimental systems.
- Strong understanding of drug discovery workflows and laboratory data generation.
- Experience with MLOps, model governance, and scalable data platforms.
- Exceptional communication skills to influence scientific and executive stakeholders.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has 78 open roles on FindRole.
Listed pay typically runs $122,000–$212,750 across 77 roles with salary data.
Most-posted roles
- Associate Director, Commercial AI & Advanced Analytics 2
- Sr Manager Information Architecture IMSC 2
- Associate Director, Oncology Epidemiology 1
- Associate Director, R&D Data Science & Digital Health – Immunology Real World Evidence 1
- Associate Director, R&D Neuroscience Data, Data Science & AI – Ophthalmology 1