Senior Cheminformatics Scientist, 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.
At Atomwise, every day we’re breaking new ground in developing and applying leading-edge machine learning (ML) methods to pre-clinical drug development. How do you identify the most potent hits in virtual chemical libraries exceeding 1012 (Yes, trillions!) compounds? What about analogs? Do you feel challenged by these problems? Then this is an opportunity to apply your skills (and learn new ones!) at the intersection of chemical/biological sciences, data science, machine learning, and software development.
We are looking for two senior cheminformatics scientists with strong algorithm development skills to join our ml.cheminfo team. The roles are focused on developing algorithms and tools to support the hit discovery and hit-to-lead stages of our pipeline. You will be designing and developing cheminformatics and ML algorithms, analyzing massive small molecule datasets, and conducting innovative drug discovery research. One of the roles will focus on algorithm development, while the other will focus on data analysis. As part of the R&D team, you’ll interact daily with computational chemists, software engineers, machine learning scientists, and fellow cheminformaticians.
Required Qualifications
- Ph.D in Computer Science, Statistics, Cheminformatics, Bioinformatics, Computational Biology, or a related discipline
- Strong coding skills in at least one high-level programming language (Python, R, Java, C++, etc)
- 5+ years experience in complex algorithm development
- Sound knowledge of chemistry, statistics, data analytics, and data visualization
- Molecular modeling experience in one or more of the following: docking, virtual screening, pharmacophore modeling, QSAR, structure or ligand-based modeling.
- Experience with cheminformatics toolkits (for example, RDKit)
- Strong 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
- Understanding the fundamentals of biomolecular interactions
- Experience with cloud computing environments (AWS/Azure/GCE)
- Experience with relational databases and/or NoSQL databases
Compensation & benefits
- Great colleagues
- 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
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.