Director, AI and Machine Learning for Biology

Novartis AG; San Diego (CA); On-site; USD 195,000 - 361,000; Full time

Benefits offered by this job

401(k) with company match

Comprehensive health benefits

Generous time off

Job summary

Novartis AG is seeking a Director Data Science in San Diego, onsite, to lead the US DARe Data Science & AI efforts and shape the global AI strategy. The role focuses on integrating diverse data sources, defining a prioritized portfolio of initiatives, and driving impactful results across disease programs.

The candidate will lead development of biological foundation models, multimodal learning, and knowledge graphs, while building a high-performing team and collaborating across matrix

Qualifications

• PhD in Machine Learning, Computational Biology, Data Science, Computer Science, Systems Biology or related quantitative discipline.
• 10+ years applying advanced computational and AI approaches to biomedical research, drug discovery, or translational medicine.

Responsibilities

• Lead the US DARe Data Science & AI efforts and shape the global AI and ML strategy.
• Define a prioritized portfolio of Data Science & AI initiatives and measure impact.
• Co-shape and drive data science and AI efforts across disease programs.
• Lead development and application of biological foundation models, multimodal learning, and knowledge graphs.
• Work at the intersection of genetics, clinical data, proteomics, transcriptomics, and imaging.
• Build and grow a high-performing US-based team spanning applied AI, ML, and computational biology.

Skills

Python programming

Deep learning

Machine learning

Communication

Leadership

Education

PhD in ML/Computational Biology/Data Science

Tools

TensorFlow/PyTorch

Git

Job description

Job Description Summary

Job Description

Internal Job Title: Director Data Science

Position Location: San Diego, California, onsite

About the Role:

DARe is building an AI-enabled discovery engine that integrates longitudinal human data, genetics, multi-omics, imaging, and advanced biological models to uncover causal drivers of aging, resilience, and regeneration. Our goal is to translate these insights into differentiated novel therapeutic targets and medicines for age-related diseases.

Key Responsibilities:

• Lead the US DARe Data Science & AI efforts and shape the global AI and ML strategy
• Define a prioritized portfolio of Data Science & AI initiatives, establish clear measures of scientific and operational impact, and ensure that investments translate into better target decisions, stronger experimental design, and accelerated discovery.
• Co-shape and drive data science and AI efforts supporting target identification, target prioritization, and validation across disease programs and contribute to the DARe long-term scientific AI vision
• Lead the development and application of biological foundation models, multimodal learning, biomedical knowledge graphs, and agentic workflows to drive evidence integration and target prioritization
• Work at the intersection of human genetics, longitudinal clinical trajectories, proteomics, transcriptomics, metabolomics, imaging, and electronic health record data.
• Build, lead, and develop a high-performing US-based team spanning applied AI, machine learning, computational biology, and data science, while creating meaningful growth opportunities for early-career talent.

Essential Requirements:

• PhD in Machine Learning, Computational Biology, Data Science, Computer Science, Systems Biology or a related quantitative discipline combined with a deep understanding of biology
• 10+ year experience applying advanced computational and AI approaches to biomedical research, drug discovery, or translational medicine.
• Proven success leading multidisciplinary global teams across AI, human data, and experimental science
• Demonstrated experience developing or applying advanced machine-learning approaches to complex biological data, such as foundation models, representation learning, generative models, or multimodal learning across sequence, single-cell, spatial, imaging, or other biomedical data.
• Strong working knowledge of deep learning, representation learning, multi-modal AI, generative AI, large-scale biological data modeling
• Strong experience in large-scale model training, distributed computation, model adaptation, and deployment within machine learning operations frameworks
• Strong coding proficiency in Python and deep learning frameworks, with experience using version control systems.
• Experience with omics data (transcriptomics, proteomics, metabolomics) and cellular imaging data
• Ability to lead and influence across matrix organizations with exceptional communication and stakeholder management skills.
• Demonstrated ability to operate effectively in a fast-paced and highly collaborative research environment.

Desirable Requirements:

• Expertise in statistical genetics, including genome-wide association studies, rare variants, Mendelian randomization, colocalization, or fine-mapping
• Understanding of modern data foundations including ETL/ELT pipelines, biomedical ontologies, metadata standards, data governance, and FAIR data principles.
• Expertise in diseases of aging, neurodegeneration, cardiometabolic disease, regeneration biology, or related therapeutic areas.
• Experience with knowledge graph technologies and scientific knowledge integration platforms.
• Experience with developing biological aging clocks

Compensation and Benefits:

• The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
• Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
• US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
• To learn more about the culture, rewards and benefits we offer our people click here .

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [e-mail] or call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis