Computer-Aided Drug Design AI Project Lead

Job Description Summary

We are seeking an exceptional computational scientist to join our Computer-Aided Drug Discovery (CADD) team in Cambridge. If you join us, you will collaborate with the industry’s best chemists and biologists. You will wield a fantastic array of physics-based software tools to design drug molecules, and you will use our advanced machine learning tools to mine a vast data set collected by one of the world's most renowned pharmaceutical companies. Are you searching for daily challenges, purpose to your job, and outstanding mentorship from a group of scientists with diverse talents? Then join the Novartis Biomedical Research CADD team.

 

Job Description

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

Position Location: Cambridge, MA, onsite

About this role:

We are seeking an exceptional computational scientist to join our Computer-Aided Drug Discovery (CADD) team in Cambridge. If you join us, you will collaborate with the industry’s best chemists and biologists. You will wield a fantastic array of physics-based software tools to design drug molecules, and you will use our advanced machine learning tools to mine a vast data set collected by one of the world's most renowned pharmaceutical companies. Are you searching for daily challenges, purpose to your job, and outstanding mentorship from a group of scientists with diverse talents? Then join the Novartis Biomedical Research CADD team.

Your responsibilities Include:

• Drive peptide discovery and design through collaborations with interdisciplinary project teams. Your primary role on the team will be the AI project lead, which involves developing digital workflows and using machine learning and artificial intelligence (AI) to build predictive PK/PD models and to mine public and internal data sets with the goal of exploring new chemical space. This collaboration requires in-depth knowledge of machine learning, structure-activity relationships (SAR), target biology, pharmacokinetics / pharmacodynamics (PK/PD), and synthetic feasibility.

• Stay abreast of scientific literature and collaborate with internal and external scientists to explore new technologies and develop new computational tools and techniques.

• Present and publish scientific work at internal meetings and external conferences.

Minimum Requirements:

• PhD in computational chemistry, physical chemistry, chemical engineering, biological engineering, computational biology, or a related field. Candidates with a laboratory-based background in chemistry or biology who have outstanding computational skills are also encouraged to apply.

• 3+ years of experience (depends on the position level) working with project teams in an industrial drug discovery environment.

• Track record of significant impact on drug discovery projects.

• Extensive experience with drug design tools and high-performance computing environments

• Strong publication history in peer-reviewed journals.

Skills and Abilities:

• Scientific rigor in molecular design and hypothesis generation.

• Team-oriented mindset with the potential to lead an interdisciplinary team.

• Excellent written and oral communication skills. Superb presentation skills are a plus.

• Proficiency in data visualization to effectively communicate insights.

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