Applied ML Scientist, Cheminformatics (Senior / Staff / Principal)

Posted 3 Days Ago
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3 Locations
Remote
Hybrid
Senior level
Artificial Intelligence • Biotech
The Role
Collaborate with project teams to assess ML model performance, assist in interpreting predictions, curate datasets, and design experiments for drug discovery applications.
Summary Generated by Built In

About the Team


We’re a tight-knit 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 10,000s 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 cutting-edge AI techniques to evaluate, analyze, and deploy models to maximize the impact of our industry-leading 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/cell-based 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 scikit-learn and PyTorch

Nice to have's

  • Publications in peer-reviewed journals or conferences describing ML applications in drug discovery or related areas
  • PhD or equivalent in cheminformatics, computer-aided drug design, or a related field
  • Experience with graph neural networks, multitask modeling, active learning, Bayesian optimization, model uncertainty, and multi-objective 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 short-term disability insurance.

About Genesis Therapeutics


Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.


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 signed AI-focused 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 (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.

Top Skills

Matplotlib
Numpy
Openeye
Python
PyTorch
Rdkit
Scikit-Learn
SQL
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The Company
HQ: Burlingame, CA
58 Employees
Hybrid Workplace

What We Do

Genesis Therapeutics is unifying AI and biotech to accelerate and optimize drug discovery.

We pioneer novel deep learning and molecular simulation techniques to accelerate the development of new medicines.

Genesis raised its $52M Series A from top tech + biotech investors, Andreessen Horowitz, Rock Springs, and T. Rowe Price.

Story: https://techcrunch.com/2020/12/02/genesis-therapeutics-raises-52m-a-round-for-its-ai-focused-drug-discovery-mission/

We deploy our technology to accelerate a pipeline of several internal drug programs.

Furthermore, Genesis has announced two significant, multi-target collaborations with Genentech and with Eli Lilly, the latter of which entailed a $20M upfront payment with a $670M total deal size.

Now we are scaling the team and technology to support many more programs in parallel as well as increasingly difficult protein targets.
We currently have a team (genesistherapeutics.ai/company.html#team) of about 35 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, MemSQL, Jane Street, Dropbox, etc.

We're recruiting pure ML research scientists + software engineers (no bio or chem experience expected) to further our core AI platform as well as scale our drug pipeline.

Likewise, we have several openings in chemistry and biology to join our team of biotech + pharma veterans who are deploying the Genesis ML platform to discover novel drug candidates.

Please apply on our website, or feel free to reach out via email directly: [email protected]

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