2 часа назад
Scientist, Cheminformatics (AI/ML)
150 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Scientist, Cheminformatics (AI/ML): Developing high-throughput ADMET assays and computational analyses that convert large chemical datasets into drug-discovery insight with an accent on chemical reasoning, experimental design, and quantitative data analysis. Focus on scaling DMPK measurements, building reproducible cheminformatics infrastructure, and translating OpenADMET capabilities into platform tools for drug programs.
Location: Emeryville, California, United States; onsite
Salary: $150,000–$190,000 annual, depending on experience
Company
is a clinical-stage drug discovery company developing therapeutics for protein misfolding diseases, rare diseases, and oncology through its Navigator platform combining high-throughput synthetic biology, generative chemistry, and AI/ML.
What you will do
- Partner with analytical chemists and biologists to develop high-throughput ADMET assays and assess data quality.
- Design experiments and analyses for robust, quantitative DMPK measurements across hundreds of thousands of compounds.
- Guide compound and building-block selection for high-throughput synthesis, ADMET assays, and OpenADMET competitions.
- Build data and computational infrastructure for processing and analyzing assay results at scale.
- Translate OpenADMET capabilities into platform tools for drug discovery teams and help prioritize assay development.
- Collaborate with machine learning scientists, software engineers, biologists, chemists, and automation engineers.
Requirements
- PhD in Chemistry, Cheminformatics, Chemical Biology, Computational Chemistry, or a related discipline.
- 3–5 years of research experience; industry experience is preferred, with strong recent PhD graduates also considered.
- Expertise in organic or medicinal chemistry, ideally including DMPK, with the ability to reason about structure–property relationships.
- Practical analytical chemistry knowledge, especially HPLC, SFC, and LC-MS, including retention behavior and artifact identification.
- Strong statistics and data science fundamentals, including experimental design, batch effects, uncertainty, and large-dataset analysis.
- Fluency in Python and/or R and standard cheminformatics tools such as RDKit and pandas, with experience writing reproducible analyses.
Nice to have
- Industry drug discovery experience.
- Experience working with OpenADMET or other open-science projects.
- A public paper, preprint, or software repository demonstrating relevant work.
Culture & Benefits
- Multidisciplinary, collaborative work across chemistry, biology, machine learning, software, and automation.
- Opportunity to contribute to public-facing open science through OpenADMET.
- Health benefits including medical, dental, and vision coverage.
- Equity and 401(k) matching.
- Inclusive and supportive environment that values nontraditional backgrounds.
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