Director, Data Science - DDSAI - Therapeutics Discovery
Johnson & Johnson
11 days ago
Remote friendly (Cambridge, MA)
United States
Clinical Research and Development
Role Overview
Director in Data, Data Science & AI (DDSAI) to lead design, development, and deployment of Autonomous Learning and Closed-Loop Optimization capabilities across Therapeutics Discovery.
Key Responsibilities
- Define and execute TD Autonomous Learning strategy and roadmap for closed-loop discovery, adaptive experimentation, and continuous model improvement.
- Lead integration of lab instrumentation/assays/automation with predictive models and optimization algorithms.
- Develop and scale closed-loop and human-in-the-loop workflows (experiment execution, data capture/curation, model training/inference/uncertainty, recommendations).
- Drive adoption of DoE, Bayesian optimization, active learning, and reinforcement learning.
- Ensure production-grade, reproducible models via MLOps/model lifecycle management; champion FAIR data, interoperability, and responsible AI.
- Collaborate with TD (In Silico Discovery; Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and partner externally (academia/industry).
- Lead and grow a multidisciplinary team; foster scientific rigor and continuous learning.
Qualifications
- PhD (or equivalent) in Computational Biology, Chemistry, Engineering, AI/ML, Applied Math, Statistics, or related.
- 8–12+ years applying data science/AI in drug discovery or adjacent fields; demonstrated leadership.
- Proven ability to deploy ML/AI integrated with experimental/operational systems.
- Strong understanding of drug discovery workflows and experimental decision-making.
- Experience with MLOps, model governance, and scalable data platforms in regulated/high-stakes environments.
- Exceptional global communication.
Preferred Skills
Advanced Analytics; Critical Thinking; Data Analysis/Visualization; Data Privacy/Quality/Reporting; Digital Fluency; Program Management; Leadership/Developing Others; Strategic Thinking; Succession Planning.
Benefits (explicit)
Vacation (120 hrs/yr); Sick time (40 hrs/yr; CO 48; WA 56); Holiday pay incl. floating holidays (13 days/yr); Work/Personal/Family Time (up to 40 hrs/yr); Parental Leave (480 hrs); Bereavement Leave (240 hrs immediate; 40 extended); Caregiver Leave (80 hrs); Volunteer Leave (32 hrs); Military Spouse Time-Off (80 hrs).
Director in Data, Data Science & AI (DDSAI) to lead design, development, and deployment of Autonomous Learning and Closed-Loop Optimization capabilities across Therapeutics Discovery.
Key Responsibilities
- Define and execute TD Autonomous Learning strategy and roadmap for closed-loop discovery, adaptive experimentation, and continuous model improvement.
- Lead integration of lab instrumentation/assays/automation with predictive models and optimization algorithms.
- Develop and scale closed-loop and human-in-the-loop workflows (experiment execution, data capture/curation, model training/inference/uncertainty, recommendations).
- Drive adoption of DoE, Bayesian optimization, active learning, and reinforcement learning.
- Ensure production-grade, reproducible models via MLOps/model lifecycle management; champion FAIR data, interoperability, and responsible AI.
- Collaborate with TD (In Silico Discovery; Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and partner externally (academia/industry).
- Lead and grow a multidisciplinary team; foster scientific rigor and continuous learning.
Qualifications
- PhD (or equivalent) in Computational Biology, Chemistry, Engineering, AI/ML, Applied Math, Statistics, or related.
- 8–12+ years applying data science/AI in drug discovery or adjacent fields; demonstrated leadership.
- Proven ability to deploy ML/AI integrated with experimental/operational systems.
- Strong understanding of drug discovery workflows and experimental decision-making.
- Experience with MLOps, model governance, and scalable data platforms in regulated/high-stakes environments.
- Exceptional global communication.
Preferred Skills
Advanced Analytics; Critical Thinking; Data Analysis/Visualization; Data Privacy/Quality/Reporting; Digital Fluency; Program Management; Leadership/Developing Others; Strategic Thinking; Succession Planning.
Benefits (explicit)
Vacation (120 hrs/yr); Sick time (40 hrs/yr; CO 48; WA 56); Holiday pay incl. floating holidays (13 days/yr); Work/Personal/Family Time (up to 40 hrs/yr); Parental Leave (480 hrs); Bereavement Leave (240 hrs immediate; 40 extended); Caregiver Leave (80 hrs); Volunteer Leave (32 hrs); Military Spouse Time-Off (80 hrs).