Computer Aided Drug Design, AI/ML Expert
Listed on 2026-01-01
-
IT/Tech
Data Scientist, Data Analyst
At Global Discovery Chemistry (GDC) of Biomedical Research in Cambridge, MA, we are at the heart of Novartis' purpose. We are seeking a highly motivated and passionate researcher with a strong scientific background in data science and/or computational chemistry, a curious mindset, and cultural agility to invent innovative medicines and advance the frontiers of drug discovery.
AboutThe Role
Internal
Job Title:
Senior Expert I / Senior Expert II, Data Science
Position Location: Cambridge, MA, onsite
We are seeking a highly motivated and passionate researcher with a strong scientific background in data science and/or computational chemistry, a curious mindset, and cultural agility to invent innovative medicines and advance the frontiers of drug discovery.
Your Responsibilities- Collaborate in a multidisciplinary team to discover and develop novel therapies across various disease areas.
- Apply, develop, and integrate state-of-the-art machine-learning, cheminformatics, and physics-based algorithms to accelerate and impact our portfolio projects.
- Utilize data science and statistical methods to develop scientific hypotheses and contribute to data-driven drug discovery.
- Combine machine learning with physics-based methods and adaptive automation to build and automate advanced computational workflows, enhancing our medicinal chemistry projects.
- Communicate scientific results at project and group meetings, decision boards, and external conferences.
- Contribute to patent inventorship with novel ideas, scientific publications and presentations.
- Participate in global initiatives shaping the future of drug discovery at Novartis.
The Role
- PhD in data science, machine learning, computational chemistry, engineering or related field. Candidates with in-lab experience combined with strong computational and/or data science experience are also encouraged to apply.
- 2+ years’ experience in scientific software development/programming, e.g. SOTA ML/scientific software libraries, RDKit, ML Ops, and the scientific Python tech stack.
- Demonstrated track record of initiating, leading, or being a key contributor to cutting edge research in data science, machine learning, computational chemistry or life sciences.
- An attitude of curiosity, innovation, teamwork, and receptiveness to diverse perspectives, coupled with a passion for personal and pro‑fessional growth.
- Critically interpret results, build new experimental hypotheses, take calculated risks and smart decisions.
- Ability to work in a fast‑paced, team‑oriented, matrixed environment.
- Excellent oral and written communication, and strong influencing skills.
- Experience in computer‑aided drug design, e.g. structure/ligand‑based drug design, molecular dynamics, virtual screening, pharmacophore modeling.
- Experience working with project teams in an industrial drug discovery setting.
The salary for this position is expected to range between:
Senior Expert I: $119,700 and $222,300 per year, Senior Expert II: $132,300 and $245,700 per year. The final salary offered is determined based on factors such as 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.
Benefitsand Rewards
Read our handbook to learn about all the ways we’ll help you thrive personally and professionally:
Why NovartisHelping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives.…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).