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About the role
Develop and evaluate machine learning methods supporting small molecule design and synthesis. Working with public and internal chemistry datasets, the co-op will pursue a focused research project in either reaction prediction and benchmarking or molecular property prediction for medicinal chemistry optimization. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Pursuing a graduate degree (MSc, PhD) in Chemistry, Computer Science, Physics, or similar
More about this role
Develop and evaluate machine learning methods supporting small molecule design and synthesis. Working with public and internal chemistry datasets, the co-op will pursue a focused research project in either reaction prediction and benchmarking or molecular property prediction for medicinal chemistry optimization.
Potential projects include building benchmarks to assess reaction prediction models and reaction plausibility, or developing and fine-tuning molecular property predictors using project-specific data. The primary project will be selected based on the candidate’s interests, experience, and team priorities. Expected outputs include reproducible data and evaluation workflows, benchmark results, and research recommendations to inform future model development and integration.
- Plan and execute a Co-Op project in conjunction with the Molecular Intelligence team
- Pursuing a graduate degree (MSc, PhD) in Chemistry, Computer Science, Physics, or similar
- Python (data processing, model training, and evaluation)
- Familiarity with cheminformatics libraries (RDKit or similar)
- Basic machine learning (supervised learning, model evaluation metrics)
- Familiarity with chemistry...
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