Computer-Aided Drug Discovery/Computational Chemist
- Cambridge, MA
1 Global Discovery Chemistry community working across 7 disease areas at the Novartis Institutes for BioMedical Research (NIBR) is seeking a highly talented and motivated computational medicinal chemist to join our Global Discovery Chemistry Department in Cambridge, MA. The successful candidate will join an energizing and collaborative research organization, working alongside colleagues who are committed to improving human health through the discovery of transformative medicines.
The Computer-Aided Drug Discovery (CADD) team in Cambridge brings together diverse skill sets in helping NIBR discovery teams validate and drug new targets. We are seeking a unique computational scientist to complement the team with the skills, experience and passion to extract new knowledge and disruptive insights from the large and rich body of data collected by the one of the world's oldest pharmaceutical companies. Working with a wide variety of multi-disciplinary scientists, you will help devise creative solutions to drug discovery problems and innovative paths to new medicines.
Summary of duties:
• Lead medicinal chemistry design efforts through knowledge of SAR, deep understanding of target biology, and application of predictive methods for on- and off-target activity, physical properties, PK/PD and synthetic feasibility.
• Keep abreast of scientific literature and interact with internal and external scientists to integrate biological insights into lead characterization and screening efforts.
• Collaborate with interdisciplinary project teams to drive effective decision-making from target identification through candidate nomination by mining and developing predictive models using high-content and time-resolved screening data, including imaging.
• Drive hypothesis generation to result in higher clinical success rates for programs utilizing small molecules peptides, RNAs, protein degradation, molecular glues, transient covalent inhibitors and kinetic stabilization of drug-target complexes.
• Lead cross-disciplinary mechanistic studies using physics-based modeling and simulation, biophysical characterization and cellular confirmation to direct discover project targeting strategies toward optimal MoAs.
EEO Statement 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 any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
This position requires an advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. Candidates with lab-based backgrounds in chemistry and biology supplemented with strong computational experience are also encouraged to apply.
• 3+ years of experience working with project teams in a drug discovery environment.
• Proven track record innovating through analogue design to impact discovery projects.
• Familiarity with drug design tools and high-performance computing environments.
• Strong publication history in peer-reviewed journals.
Skills and Abilities:
• Proactive in anticipating project needs with line of sight to clinic.
• Act with rigor and diligence in substantiating ideas and design analogues and experiments.
• Team focus with ability to multitask in both support and leadership modes.
• Good listener. Strong, concise, and consistent written and oral communication.
• Knack for communicating stories through data visualizations.
• Familiarity with the foundational concepts in molecular biology, pharmacology or medicine.
• Familiarity with biophysiccal techniques and assay design.
• Scientific programming experience, including Python, R, Knime.
• Experience with modeling tools including structure-based design and molecular dynamics.
• Familiarity with analytics, machine learning and statistical analysis.
• Provide leadership for ad-hoc data analysis, visualization and statistical support throughout the organization
• Working knowledge of medicinal chemistry and drug discovery.
• Proven ability to collaborate with others.
Why consider Novartis?
799 million. That's how many lives our products touched in 2019. And while we're proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people's lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you're given opportunities to explore the power of digital and data. Where you're empowered to risk failure by taking smart risks, and where you're surrounded by people who share your determination to tackle the world's toughest medical challenges.
Imagine what you could do at Novartis!
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