- Company Name
- Valence Labs
- Job Title
- Machine Learning Research Scientist
- Job Description
-
Job title: Machine Learning Research Scientist
Role Summary
Spearhead cutting‑edge research in machine learning for drug discovery, focusing on generative models, multi‑omic representation learning, and atomistic/structural modeling. Own project lifecycle from ideation to deployment, and collaborate across computational, experimental, and chemical disciplines to accelerate therapeutic discovery.
Expectations
- Design, implement, and evaluate novel ML algorithms that advance drug discovery.
- Drive the full research cycle: hypothesis formation, model building, experimentation, and real‑world deployment.
- Lead interdisciplinary teams, influence project direction, and ensure deliverables meet scientific and engineering standards.
- Produce high‑impact publications and communicate findings via talks, blogs, and conferences.
- Champion open‑science initiatives and contribute to community resources.
Key Responsibilities
- Lead frontier research programs in ML for drug discovery (generative models, multi‑omic foundations, atomistic modeling).
- Own end‑to‑end research agenda: ideation, implementation, experimentation, evaluation, and production deployment.
- Collaborate with ML researchers, software engineers, wet‑lab scientists, and domain experts to identify high‑impact opportunities.
- Publish papers in top-tier conferences (NeurIPS, ICML, ICLR) and journals (Nature, Science, JACS, ACS).
- Present research internally and externally through talks, papers, blogs, and conferences.
- Contribute to open‑source projects and broader scientific community.
- Mentor junior researchers and guide cross‑disciplinary project execution.
Required Skills
- Proficiency in modern deep learning frameworks (PyTorch, TensorFlow).
- Experience with generative modeling, multi‑modal representation learning, and atomistic/structural modeling.
- Strong programming and rapid prototyping abilities.
- Ability to translate complex scientific problems into ML solutions.
- Excellent written and verbal communication skills.
- Proven ability to work effectively in interdisciplinary, cross‑functional teams.
- Leadership experience in research projects, including publication lead authorship.
Required Education & Certifications
- PhD or equivalent in Machine Learning, Computational Biology, Chemistry, Physics, or related field.
- Significant academic or industry research experience in ML applied to drug discovery.