Cheminformatics Scientist, ADME, Atomwise, San Francisco (8 March 2022)
Atomwise is the leading artificial intelligence (AI) drug discovery company, based in San Francisco, CA. We created our computation-first drug discovery platform to efficiently and repeatedly engineer 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.
About the Role
We are looking for a cheminformatics scientist with strong experience in QSAR modeling, data curation, and data analyses for ADMET and potency predictions to join our ml.cheminformatics team. The team is relatively small, so there are lots of opportunities for both career growth and substantial contribution towards our success.
You Will:
- Build high-quality QSAR and QSPR models to support internal drug discovery efforts.
- Be a key contributor to our machine learning algorithms for late-stage compound optimization.
- Identify data sources for ADMET data and write code to ingest these data sources with a focus on data correctness and scalability.
- Develop custom scientific tools for discovery teams.
- Automate data science processes and data analyses.
- Use your drug discovery background and insights to collaborate across the R+D organization on a diverse range of projects.
- Communicate well and work with other scientists and software engineers to build our late-stage optimization program.
- Help maintain Atomwise’s scientific presence with conference presentations and publications.
Required Qualifications
- Ph.D. in Chemistry, Computational Chemistry, Physics, or life sciences, with 3+ years of industry and/or post-doctoral experience.
- Strong understanding of the field of Cheminformatics both scientifically and its applications in drug discovery.
- Hands-on experience with common data science software stacks (e.g., Python, Jupyter notebooks, scikit-learn, RDKit, git, AWS, etc.) and using best practices.
- Familiarity with machine learning/deep learning models.
- Strong experience in navigating the interplay between data quality, quantity, diversity, statistics and machine learning model development.
- Strong coding skills in at least one high-level programming language (Python, R, Java, C++, etc.).
- Experience in tool and algorithm development for drug discovery teams.
- Ability to work with people from diverse disciplines within cross-functional teams.
- Excellent communicator.
- Detail-oriented with a relentless focus on quality
Preferred Qualifications
- Good understanding of the principles of ADME/Tox in drug discovery and development.
- Good understanding of ADME/Tox-related experimental assays and their interpretation.
- Experience supporting drug discovery scientists.
- Examples of scientific tool development.
- Experience using databases.
- Out-of-the-box thinker and innovative problem solver
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.