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Staff Computational Chemist / Principal Computational Chemist
Full Time
San Francisco, California, United States (This job can be remote)
Job description
Scismic is supporting the growth of a biotech company that is advancing drug discovery through its small molecule directed evolution platform.
The company is dedicated to accelerating small molecule discovery by combining massively parallel bench science and computation. Their technology rapidly analyzes 100-1000x more compounds than traditional methods by using a variety of DNA Encoded Libraries and applying machine learning to design high throughput follow-on experiments. By adopting a tightly coupled, iterative cycles of computational and bench science we reduce the cost of early stage drug discovery while tackling hard, medically relevant targets.
To build this platform they are assembling a unique, cross-functional team with equal parts computational, biochemical and chemical talent. The company believes that merging these disciplines, with each one complementing the other, is the best way to find new medicines.
We are looking for a talented computational chemist to join the team!
Responsibilities
- Apply cutting edge methods to identify optimal building blocks and design DNA encoded libraries
- Lead adoption of best-practice computational chemistry principles in the organization
- Develop tools to guide follow-on wet lab experiments based on the results from DNA encoded libraries and other sources of information
- Operate virtual screens
- Run docking and/or molecular dynamics studies
- Integrate information from outside sources (such as patents, meetings and literature) into program development.
- Communicate effectively as a member of a highly interdisciplinary team
Qualifications
- B.S./M.S./Ph.D. in Chemistry, Biology, Biophysics, Computer Science (or related fields) with demonstrated computational chemistry focus
- 5+ years industry experience required
- Lead optimization experience required
- Expertise with two or more of: compound library design, drugability analysis, docking studies, large scale compound collection analysis, virtual screening
- Comfort with Python or similar programming language
- Practical experience with computational chemistry toolkits such as RDKit, OpenEye, or Schrodinger
- Strong chemical informatics foundation
- Machine learning experience is a strong plus
- Strong track record of solving computational chemistry challenges demonstrated with publications or patents
- Working knowledge of protein-ligand interactions and other biochemical and chemical concepts
- Effective decision making in a rapidly evolving environment
- Independent and self-motivated while also being a great collaborator
- Strong communication and coaching skills
Benefits and perks:
- Healthcare/Dental/Vision insurance plans, with premiums 100% covered for employees and 50% covered for dependents.
- FSA and HSA programs.
- 401k program.
- Equity compensation.
- Unlimited vacation policy.
- Annual professional development budget for all employees.
The company is currently a distributed company with physical locations in San Francisco and Boston. They support remote work, but strongly prefer a continental US timezone.
They prioritize the health and safety of our employees, and require all employees to be Fully Vaccinated against COVID-19 in order to work onsite. If hired, candidates must present proof of vaccination on a confidential basis prior to their scheduled start date confirming that they have completed the COVID-19 vaccination process, subject to any written request for medical or religious accommodation and to the extent permitted by applicable law.