OpenADMET Jobs

Open positions

---

Science Lead – Machine Learning Models and Active Learning

Science Lead – Machine Learning Models and Active Learning
OMSF | Remote
Investigator: Ryan Renslow
Apply: [application link]
Contact: ryan.renslow@omsf.io



The Open Molecular Software Foundation (OMSF) is seeking a Science Lead for the OpenADMET project (OpenADMET.org), specializing in Machine Learning Models and Active Learning Strategies. The Science Lead will be responsible for overseeing the selection, implementation, and refinement of machine learning models and active learning strategies to drive the development of open source ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) models built from both public datasets and newly generated open ADMET datasets generated by the collaborative OpenADMET project. This position supervises and collaborates with scientific roles on the OMSF OpenADMET team, collaborates closely with the OpenADMET technical team to aid the development of robust training and inference infrastructure, and provides domain expertise for optimizing machine learning model development and deployment. This role is also instrumental in recruiting and liaising with a Technical Advisory Committee consisting of experts from academia and industry to advise on model strategies that maximize the utility of new open ADMET data generated by the project. The Science Lead will work remotely in collaboration with diverse teams, primarily based in Europe, Australia, and the United States, and may require occasional travel.

This fully remote, grant-funded position has a minimum duration of 2 years, with potential for extension based on available funding. The Science Lead will report directly to the OpenADMET Project Director.

Learn more by reading the detailed job description here

Apply here: Science Lead – Machine Learning Models and Active Learning




---

Senior Scientist– Data Curation and Pipeline Integration

Senior Scientist – Data Curation and Pipeline Integration
OMSF | Remote
Investigator: Ryan Renslow
Apply: [application link]
Contact: ryan.renslow@omsf.io



The Open Molecular Software Foundation (OMSF) is seeking a Senior Scientist specializing in Data Curation and Pipeline Integration for the OpenADMET project (OpenADMET.org). This role focuses on ensuring the accuracy, quality, and accessibility of ADMET data used for machine learning applications, while developing and optimizing data workflows for seamless data ingestion, processing, and dissemination. The Senior Scientist will collaborate with experimental scientists at Octant/UCSF and the OpenADMET team to establish best practices for data curation and workflow integration. This includes preparing data in machine learning ready formats and managing data deposition into FAIR (Findable, Accessible, Interoperable, Reusable) repositories and ensuring the quality and reliability of all ADMET dataset classes.

This fully remote, grant-funded position has a minimum duration of 2 years, with potential for extension depending on available funding. Due to time zone differences, occasional meetings outside standard business hours may be necessary. Our teams are primarily based in Europe, Australia, and the United States, and some travel may occasionally be required. The Senior Scientist – Data Curation and Pipeline Integration will report directly to the OpenADMET project lead, while closely collaborating with the OpenADMET ML Infrastructure team, project stakeholders, and external partners. This role is ideal for a resourceful individual eager to shape data-driven projects that advance ADMET research in a collaborative, open-source environment.

Learn more by reading the detailed job description here

Apply here: Senior Scientist - Data Curation and Pipeline Integration