Computer-Aided Drug Design Data Science AI/ML Expert

Job Description Summary

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.

 

Job Description

Internal Job Title: Senior Expert I/Senior Expert II, Data Science

Position Location: Cambridge, MA, onsite

About this role:

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.

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 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.

What you will bring to the role: 

• PhD in data science, machine learning, computational chemistry, engineering or related field. Candidates with an 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 professional 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

Desirable 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

Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook: https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity and Inclusion / EEO: The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse tea