Applied ML Scientist Cheminformatics Staff Principal
Applied ML Scientist Cheminformatics Staff Principal
Posted on :
23-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
23-04-2025
Job Description
About the Team
Were a tightknit team of proven drug hunters deep learning researchers and software engineers united by a common mission drive AI innovation in biochemistry discovering and developing groundbreaking therapies for patients suffering from severe disorders.
Genesis AI team is focused on developing foundation models for drug discovery by conducting fundamental research at the intersection of machine learning physics and computational chemistry as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data leveraging our cluster with 1000s of GPUs and 10000s of CPUs.
About the Role
This unique role serves as a critical bridge between our AI research and experimental drug discovery teams. You will collaborate closely with both groups leveraging cuttingedge AI techniques to evaluate analyze and deploy models to maximize the impact of our industryleading AI platform on drug discovery programs.
The ideal candidate will be comfortable in experimental and engineering contexts and skilled at communicating with stakeholders from both domains. Their day to day responsibilities will require basic familiarity with experimental techniques excellent data science skills and demonstrated ability in applied ML.
Positions are available at various levels of seniority: Senior Staff and Principal.
You will
- Work directly with project teams to assess model performance and utility including applicability to current project needs and collaborate with ML and engineering teams to resolve issues or add new functionality
- Assist experimental colleagues with use and interpretation of model predictions by providing context about model quality and prediction uncertainty
- Evaluate model quality by validating predictions against project data and internal or external benchmarks
- Curate internal and external datasets for model training and validation (in collaboration with experimental teams)Contribute to design and analysis of experiments on model changes and alternative architectures
You are
- Experience working with chemistry project teams in an industrial or academic drug discovery setting
- Experience with modeling and analysis of small molecule datasets
- Familiarity with common experiment types (biochemical/binding/cellbased assays in vivo studies etc. and CADD workflows (docking virtual screening ADME prediction etc.
- Excellent data science skills including exploratory data analysis and statistical methods for model comparison and evaluation
- Strong software engineering skills including experience with Python Numpy and Matplotlib
- Strong cheminformatics skills including experience with RDKit or OpenEyeStrong applied ML background including familiarity with deep neural networks and experience with scikitlearn and PyTorch
Nice to haves
- Publications in peerreviewed journals or conferences describing ML applications in drug discovery or related areas
- PhD or equivalent in cheminformatics computeraided drug design or a related field
- Experience with graph neural networks multitask modeling active learning Bayesian optimization model uncertainty and multiobjective optimization
- Experience with implementation of ML model architectures in PyTorch
- Experience in a collaborative software engineering environment including code reviews and pull request workflows
- Experience with SQL and database management
- Strong opinions on molecule featurization and model validation
Compensation Benefits and Perks
- Competitive compensation package that includes salary and equity.
- Comprehensive health benefits: Medical Dental and Vision (covered 100 for the employees).
- 401(k) plan.
- Open (unlimited) PTO policy.
- Free lunches and dinners at our offices.
- Paid family leave (maternity and paternity).
- Life and long and shortterm disability insurance.
About Genesis Therapeutics
Our team has created the industrys 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 firstinclass and bestinclass small molecule for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against highvalue targets including datapoor and canonically undruggable targets where GEMS is uniquely advantaged. In addition Genesis has signed AIfocused platform collaborations with major pharmaceutical companies including most recently Incyte Corporation (Feb 2025 and Gilead Sciences (Sept 2024.
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 (NVIDIAs 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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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