Director, Computational Chemistry
New York, NY
Genesis Therapeutics
At Genesis we’re unlocking tough protein targets to discover new medicines at scale, with the industry’s most advanced molecular AI platform.
At Genesis Therapeutics, we are redefining drug discovery by integrating advanced AI with physics-based computational techniques. We are seeking an experienced and innovative Director of Computational Chemistry to lead our dynamic research team and shape our computational strategy. In this strategic role, you will drive the development and application of cutting-edge computational chemistry methods to design transformative therapeutics.
Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has three AI platform collaborations across a range of therapeutic areas, with Gilead Sciences, Eli Lilly, and Genentech.
We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
Key Responsibilities
- Define and execute a comprehensive computational chemistry strategy that leverages both physics-based and AI-driven approaches to accelerate drug discovery.
- Collaborate with cross-functional teams—including medicinal chemists, biologists, and ML researchers—to integrate computational insights into the broader therapeutic development process.
- Play a pivotal role in shaping the future of small molecule therapies at Genesis Therapeutics.
- Design and execute state-of-the-art molecular dynamics simulations, enhanced sampling techniques, quantum chemistry calculations, and free energy calculations to improve ligand binding predictions and optimize molecular properties such as ADMET.
- Develop novel computational methodologies integrating physics and AI/ML to address complex challenges in drug discovery.
- Stay abreast of emerging computational techniques and incorporate innovative methods into our research workflows to maintain a competitive edge.
- Work closely with internal stakeholders to generate actionable insights that drive lead optimization and structure-based drug design.
- Effectively communicate scientific findings, strategic approaches, and progress updates to both technical and non-technical audiences, including leadership teams and external partners.
- Lead and grow a high-performing team of computational scientists by fostering a collaborative, innovative, and results-oriented work environment.
- Mentor team members and encourage professional development, ensuring continuous improvement and thought leadership within the field.
Qualifications
- Ph.D. in Computational or Theoretical Chemistry, Physics, or Biophysics, or a related field with a robust emphasis on computational method development.
- 8+ years of experience in computational chemistry within biotech, pharma, or related industries.
- Proven track record in leadership, with the ability to mentor scientists and drive cross-functional collaboration.
- Deep expertise in molecular dynamics simulations, enhanced sampling techniques, free energy calculations, and quantum chemistry methods.
- Strong background in method development, including algorithm design and implementation tailored for drug discovery.
- Proficiency with computational chemistry software (e.g., AMBER, GROMACS, OpenMM, Schrödinger, etc.).
- Strong programming skills in Python.
- Experience applying machine learning to molecular modeling challenges, such as generative models, deep learning for structure-based design, or AI-driven virtual screening.
- Exceptional problem-solving, analytical, and communication skills.
- Ability to thrive in a fast-paced, multidisciplinary environment.
- A passion for innovation and a commitment to advancing precision therapies through computational science.
Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has three AI platform collaborations across a range of therapeutic areas, with Gilead Sciences, Eli Lilly, and Genentech.
We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Categories:
Architecture Jobs
Engineering Jobs
Leadership Jobs
Tags: Chemistry Deep Learning Drug discovery Generative AI Generative modeling Machine Learning Pharma Physics Python Research
Perks/benefits: Career development
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Scientist II jobsSr. Data Engineer jobsStaff Data Scientist jobsBI Developer jobsPrincipal Data Engineer jobsStaff Machine Learning Engineer jobsData Manager jobsSenior AI Engineer jobsJunior Data Analyst jobsData Science Intern jobsData Science Manager jobsResearch Scientist jobsPrincipal Software Engineer jobsBusiness Data Analyst jobsData Specialist jobsLead Data Analyst jobsSoftware Engineer II jobsData Analyst Intern jobsSr. Data Scientist jobsData Engineer III jobsBI Analyst jobsJunior Data Engineer jobsDevOps Engineer jobsSoftware Engineer, Machine Learning jobsAI/ML Engineer jobs
Snowflake jobsEconomics jobsLinux jobsOpen Source jobsData Warehousing jobsAirflow jobsNoSQL jobsHadoop jobsComputer Vision jobsKafka jobsMLOps jobsBanking jobsGoogle Cloud jobsRDBMS jobsJavaScript jobsScala jobsClassification jobsPhysics jobsKPIs jobsScikit-learn jobsData warehouse jobsOracle jobsTerraform jobsStreaming jobsGitHub jobs
PostgreSQL jobsScrum jobsPySpark jobsLooker jobsSAS jobsR&D jobsPandas jobsCX jobsBigQuery jobsData Mining jobsDistributed Systems jobsJira jobsdbt jobsRobotics jobsIndustrial jobsRedshift jobsUnstructured data jobsReact jobsMicroservices jobsJenkins jobsData strategy jobsNumPy jobsRAG jobsE-commerce jobsPharma jobs