AI Scientist - AI-Driven Target Identification

Novartis Group Companies; Cambridge (MA); On-site; USD 103,600 - 192,400; Full time

Job summary

Novartis Group of Companies in Cambridge (US) is seeking an AI/ML scientist to apply advanced AI to oncology datasets across pre-clinical, clinical, and real-world evidence. Onsite role with relocation offered.

You will design and implement generative AI and multi-modal models, collaborate with cross-functional teams to develop ML-ready data, and contribute to publications and conferences in top-tier venues.

Qualifications

• Ph.D. required in ML, CS, math, computational biology or related field.
• Strong experience with generative AI and foundation models.
• Experience with geometric deep learning, multimodal learning, and large-scale knowledge graphs.
• Proficiency in PyTorch and ML model development.
• Practical ML/LLM stack experience: feature engineering, deployment, validation.
• Experience with omics data and oncology drug development.
• Excellent communication and ability to present complex insights.

Responsibilities

• Design, develop, and apply advanced AI/ML approaches to extract insights from diverse datasets.
• Demonstrate value of AI in drug target identification and biomarker discovery.
• Work with foundation models to advance generative AI applications in drug discovery.
• Collaborate with cross-functional teams to develop ML-ready data.
• Contribute to scientific publications and present results at conferences.

Skills

Generative AI

Biomedical foundation models

Geometric deep learning

Multimodal learning

Knowledge graphs

PyTorch

Feature engineering

Model deployment

Omics data

Oncology drug development

Communication

Publications

Education

Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field

Job description

Job Description Summary

Location: Cambridge or Basel

Onsite

Relocation is offered for this role.

#LI-Onsite

The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with strong curiosity for AI-driven drug discovery to join the AI & Innovation team. This role will apply advanced AI approaches to generate insights from complex multi-modal datasets and advance our target and biomarker discovery efforts.

Job Description

Key responsibilities:

• Design, develop, and apply advanced AI/ML approaches to extract actionable insights from pre-clinical, clinical and real-world evidence datasets.
• Demonstrate value of innovative AI techniques in the context of drug target identification, biomolecular interaction modeling, drug development and biomarker discovery.
• Work with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models to advance generative AI applications in drug discovery.
• Collaborate with cross-functional teams to develop and adopt best practices for ML-ready data.
• Contribute to scientific publications and present results at internal and external scientific conferences.

Requirements:

• Ph.D.in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field.
• Strong experience in one or more of the following areas: generative AI, biomedical foundation models, geometric deep learning, multi-modal learning, and large-scale knowledge graphs.
• Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.
• Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.
• Prior experience working with omics data and familiarity with oncology drug development.
• Excellent communication skills, with the ability to communicate complex data insights and recommendations to cross-functional teams and stakeholders.
• Demonstrated strong research skills, evidenced by publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals.

Rewards

At Novartis,we'recommitted to reimagining medicine together - and rewarding the people who make it happen.

The rewards of being part of our team go far beyond base pay and incentives.We also offer a variety of competitive benefits inkindto help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeingresourcesand global recognition programs. In addition, we provide flexible and hybrid working options, where possible, anda minimum of14 weekspaid parental leave.

Expected Annual Base Salary Range for role:

• US: 103,600.00 - 192,400.00 USD Annual

The salary offered isdeterminedbased on gender-neutralobjectives, such as relevant skills,competenciesand experiencein accordance withthe Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse,equitableand inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Readourbrochureto learn more about our global total rewards offering:https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the applicationprocess.

Why Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating,supportingand inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together?https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards:

Read our handbook to learn about all the wayswe'llhelp you thrive personally and professionally:https://www.novartis.com/careers/benefits-rewards

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

$103,600.00 - $192,400.00

Skills Desired

Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Statistical Analysis, Time Series Analysis