Senior Scientist, Computational Chemistry

WHO WE ARE  ODDITY is a consumer tech platform transforming the global beauty and wellness market. We deploy advanced technology, including molecular discovery, synthetic biology, artificial intelligence, machine learning, and computer vision to develop exceptional products and deliver consumers a superior experience. Our digital-first brands, IL MAKIAGE and SpoiledChild, are rapidly disrupting the offline-dominated beauty and wellness industries around the world. Brands 3 and 4 will launch next year, replicating the playbook of our existing brands in adjacent spaces to take a step change in our growth and impact. 
ODDITY Labs is our cutting-edge biotechnology R&D center, powering product innovation through the discovery of new molecules that will power game changing products through ODDITY's current and future brands. Our exceptional team is passionate about using biology, chemistry, and technology to disrupt consumers' product expectations and shopping journeys, shifting millions of consumers from offline to online along the way. Our culture is fast-paced, innovative, agile, and offers every team member the opportunity to drive a big impact. 
We are looking for the ideal candidate 
We are seeking a strategic and innovative Senior Scientist, Computational Chemist to be a leading figure in silico efforts and drive the integration of computational approaches across our drug discovery pipeline. In this role, you will apply state-of-the-art modeling, data science, and AI/ML tools to support target identification, structure-based drug design, and optimization of novel small molecules. You will collaborate closely with medicinal chemistry, biology, pharmacology, and translational science teams to advance programs from early discovery through IND-enabling stages. You are a scientifically rigorous leader with a deep understanding of molecular modeling, Cheminformatics, and SAR analysis. You excel at generating actionable insights from complex data and translating them into clear design hypotheses. This individual thrives in dynamic, collaborative environments and brings a proactive, hands-on approach to leading multidisciplinary projects in a fast-paced setting.
WHAT YOU WILL DO:

• Design and implement in silico workflows for hit identification, lead optimization, and structure-activity relationship (SAR) modeling.
• Apply molecular modeling techniques such as docking, pharmacophore modeling, molecular dynamics, and free energy perturbation to inform compound design.
• Integrate AI/ML tools and Cheminformatics approaches to accelerate hypothesis generation and compound prioritization.
• Collaborate closely with medicinal chemists and biologists to iteratively refine compound designs based on computational predictions and experimental data.
• Leverage structural biology and homology models to drive structure-based drug design (SBDD) initiatives.
• Support target assessment and hit triage using ligand-based and structure-based methods.
• Evaluate and implement cutting-edge software platforms and external partnerships to stay at the forefront of computational drug discovery.
• Contribute to project strategy, decision-making, and communication with cross-functional stakeholders and senior leadership.

WHO YOU ARE:

• Ph.D. in computational chemistry or a related field with 5+ years of industry (pharma/biotech) drug discovery experience.
• You have a proven track record in leveraging and developing computational tools and computing systems to support small molecule discovery projects for Hit Identification, Hit to Lead, and Lead Optimization.
• Strong expertise in medicinal chemistry, SAR development, and lead optimization
• Experience managing high-performing chemistry teams and CROs
• Familiarity with CMC and regulatory requirements supporting IND-enabling studies
• Excellent communication, strategic thinking, and leadership skills

WHAT WE OFFER

• Competitive compensation and benefits package.
• Visa sponsorship available (OPT, STEM OPT, H1B, TN).
• This position is in-office in our Cambridge, Massachusetts office and laboratory.
• The salary for this position is negotiable and commensurate with experience.