Director and Group Head, Applied AI

NLP PEOPLE; Massachusetts; On-site; USD 194,600 - 361,400; Full time

Benefits offered by this job

Performance-based cash incentive

401(k) plan with company contribution

Comprehensive health benefits

Generous time-off package

Job summary

NLP PEOPLE is seeking a Director & Group Head (Applied AI) based in Cambridge, USA. This role involves leading the applied AI strategy across drug discovery research and managing multidisciplinary teams to develop effective AI solutions. Candidates should have over 12 years of relevant experience, strong leadership abilities, and proficiency in Python.

The position offers a competitive salary ranging from $194,600 to $361,400 annually, along with a comprehensive benefits package that includes health coverage and generous time-off.

Qualifications

• 12+ years of experience in machine learning development and deployment.
• Experience in drug discovery applications and computational chemistry.
• Strong coding skills in Python and deep learning frameworks.

Responsibilities

• Lead the applied AI strategy and multi-year roadmap.
• Govern the AI portfolio with prioritization and resource management.
• Establish best practices for problem framing and model evaluation.

Skills

Leadership in ML initiatives

Foundation model benchmarking

Machine learning in drug discovery

Python proficiency

Job description

Job Title: Director & Group Head (Applied AI) #LI-Hybrid

Location: Cambridge, USA
Relocation Support: This role is based in Cambridge, USA. Novartis is unable to offer relocation support: please only apply if accessible.

Novartis has embraced a bold strategy to drive a company-wide digital transformation. Our objective is to position Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to hasten drug discovery and development. By utilizing both internal and external R&D data with the power of data science, predictive models, generative AI, and machine learning, we identify new targets, create more effective therapeutic molecules, better predict drug pharmacokinetics and safety risks, refine clinical trial design, and significantly shorten development cycles. The AI4R team leads BR in exploring and applying advanced AI and ML methodologies to generate novel drug discovery insights and to speed and improve drug discovery efficiency while focusing on patients’ needs. AI4R partners with drug discovery teams, raises the level of AI expertise across Biomedical Research (BR) and ensures that BR science keeps up with the rapidly evolving ecosystem of AI technologies by connecting with AI leaders in academia and industry.

Key Responsibilities

• Define and lead the applied artificial intelligence strategy and multi‑year roadmap across drug discovery research.
• Align priorities with portfolio needs, scientific opportunities, and measurable business and research impact.
• Lead multidisciplinary teams to identify, prototype, benchmark, and deploy fit‑for‑purpose artificial intelligence solutions.
• Govern an applied artificial intelligence portfolio with clear intake, prioritization, resourcing, delivery oversight, and success metrics.
• Establish best practices for problem framing, data readiness, benchmarking, evaluation design, and reproducible model development.
• Drive benchmarking of foundation and task‑specific models, enabling transparent trade‑offs and informed adoption decisions.
• Partner with engineering teams to scale solutions and embed them into day‑to‑day scientific decision making.
• Define rigorous evaluation metrics linking model performance to downstream decisions and experimental outcomes.
• Build a culture of scientific rigor, rapid iteration, mentorship, and practical impact across teams.
• Forge strategic academic and industry collaborations to accelerate innovation, benchmarking, and technology transfer.

Essential Requirements

• Demonstrated experience in leading core machine learning capability development initiatives across drug discovery teams and use cases.
• Proven experience with foundation model benchmarking in drug discovery applications.
• Hands‑on experience applying machine learning to core drug discovery areas such as target identification or computational chemistry.
• Strong experience in large‑scale model training, distributed computation, model adaptation, and deployment within machine learning operations frameworks.
• Deep curiosity and passion for biomedical sciences and therapeutic discovery, with ability to explain complex technical concepts clearly.
• Minimum of 12+ years of experience in innovation, development, deployment, and continuous support of machine learning and modeling solutions.
• Strong coding proficiency in Python and deep learning frameworks, with experience using version control systems such as Git.
• Ability to manage complexity, balance priorities, and drive outcomes effectively within matrixed environments using a proactive mindset.

Desirable Requirements

• Publications, patents, or open‑source contributions demonstrating machine learning innovation and domain expertise.
• Strong curiosity for emerging technologies with pragmatic ability to apply them to real‑world business challenges.

Compensation and Benefits

The salary for this position is expected to range between 1,94,600.00 – 3,61,400.00 USD Annual. The final salary offered is determined based on relevant skills and experience and will be reviewed periodically upon joining Novartis. Your compensation will include a performance‑based cash incentive and, depending on the level of the role, eligibility for annual equity awards. US‑based eligible associates receive a comprehensive benefits package that includes health, life, and disability coverage, a 401(k) plan with company contribution and matching, and a range of additional benefits. Associates are also eligible for a generous time‑off package, including vacation, personal days, holidays, and other leave options.

Company

Novartis Institutes for BioMedical Research