AI Scientist - AI-Driven Target Identification
Novartis Group Companies | |
parental leave
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United States, Massachusetts, Cambridge | |
Jul 29, 2026 | |
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Job Description Summary Location: Cambridge or BaselOnsite 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:
Requirements:
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:
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 us.reasonableaccommodations@novartis.com or call +1(877)395-2339 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 - $192,400.00Skills 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 | |
parental leave
Jul 29, 2026