Cheminformatics Scientist, Structural Biology and Bioinformatics, Atomwise, San Francisco (8 March 2022)
Atomwise is a leading artificial intelligence AI-centered pharmaceutical company, based in San Francisco, CA. We discover and develop small molecules to improve human health and agricultural productivity. Along the way, we are solving some of the most difficult problems at the intersection of chemical/biological sciences, data science, machine learning, and software development.
Enjoy interdisciplinary challenges? Then join us!
We value a collaborative and transparent culture that fosters scientific and technical discussion. We strongly believe that data wins over opinions, and aim for as little dogma as possible in our decision making. Our team members have expertise in a wide range of disciplines–from computational chemistry and structural biology to cloud-native best practices–and we regularly have internal seminars open to anyone interested in learning about these topics.
We are looking for a Cheminformatics or Bioinformatics scientist with a strong background in protein structure, structural biology, bioinformatics, or related areas to join our ml.cheminfo team. Cheminformatics at Atomwise is a broad tent and encompasses a diverse range of computational biology and chemistry research areas to further our drug discovery goals. This role is focused on applying machine learning methods to structural biology data at large scale to fulfill our goal of drugging challenging targets – allosteric sites, protein-protein interaction surfaces, protein complexes, and more. You will be developing models applicable to these problems, designing benchmarks to measure and track model performance, and conducting innovative drug discovery research.
As part of the R&D team, you’ll interact daily with computational chemists, software engineers, machine learning scientists, and fellow cheminformaticians, and you’ll help us maintain Atomwise’s scientific presence with conference presentations and publications based on your work.
Required Qualifications
- Ph.D. in Structural Biology, Bioinformatics, Computational Biology, Biochemistry, or related areas
- Biomolecular modeling experience in one or more of the following: docking, structure-based virtual screening, molecular dynamics simulations, homology modeling, protein-protein interaction prediction
- Hands-on experience working with protein structure data and common software in molecular modeling (e.g. RDKit, Biopython, Rosetta, molecular simulation packages, or similar)
- Hands-on experience with common data science software stacks (e.g., Python, Jupyter notebooks, git, etc) and with using software development best practices
- Strong coding skills in at least one high-level programming language (Python, R, Java, C++, etc.)
- Sound knowledge of chemistry, statistics, data analytics, and data visualization
- Familiarity with Linux command-line environment
Preferred Qualifications
- Experience in implementing and applying machine learning algorithms
- Experience working with scalable algorithms utilizing vast amounts of data
- Experience developing software and tools used by other scientists
- Experience with cloud computing environments (AWS/Azure/GCE)
Compensation & Benefits
- Competitive salary, commensurate with experience
- Stock compensation plan – you’ll be an Atomwise co-owner
- Platinum health, dental, and vision benefits
- 401k with 4% match
- Funding for professional development and conference attendance
- Generous parental leave
- Flexible work schedule
- Great colleagues
Atomwise is an equal opportunity employer and strives to foster an inclusive workplace. Our mission is to develop better medicines faster, and we know that we need a diverse team to develop medicines that serve diverse populations. Accordingly, Atomwise does not make any employment decisions (including but not limited to, hiring, compensation, and promotions) on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, veteran status, disability status, or any other characteristics protected by applicable federal, state, and local law.
We strongly encourage people of diverse backgrounds and perspectives to apply. Authorization to work in the U.S is required. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application instructions can be found at this LINK.