Principal Scientist, Applied Computational Chemistry
Location
Salt Lake City, Utah
Level
Senior
Department
Research
Type
Full - Time
Salary
Job Description
Posted on:
February 3, 2023
As a Principal Scientist at Recursion, you’ll be in a position to directly accelerate the timeline of getting drugs into the hands of patients who need them. You will engage in early drug discovery projects from launch to preclinical development and help our efforts in advancing new therapeutics to patients. You will be at the forefront of developing new approaches that reimagine small molecule drug discovery leveraging Recursion’s extensive data capabilities.
Responsibilities
As a Principal Scientist, you will:
- Build - In partnership with medicinal chemists, biologists, data scientists, and others, you will build projects across therapeutic models designed to translate phenotypic screening hits to preclinical assets with quality and speed
- Lead - You will lead cross-functional computational and medicinal chemistry efforts, as part of a nimble, highly efficient chemistry team
- Collaborate - Work in a cross-functional matrix organization with biologists, chemists, data scientists, and engineers with a passion for drug discovery
- Communicate - Independently prepare impactful presentations for senior leaders and partners to allow for informed data-based decision-making
- Achieve - Understand the critical path and provide high-quality results
Job Requirements
- Ph.D. in computational chemistry, biophysics, medicinal chemistry, engineering, or equivalent
- 5+ years as a computational chemistry program lead in drug discovery/development within a biotech or pharma setting
- Strong record of delivery as demonstrated by publications, presentations, patents, or other evidence of creative application of computational approaches to problems of pharmaceutical interest
- Proficiency in general molecular modeling techniques (docking, molecular simulation, homology modeling, quantum mechanics, pharmacophore and shape screening, ligand- and structure-based design)
- Experience providing project teams with computational strategies to inform, influence, and prioritize designs for potency/selectivity and improve ADME/Tox endpoints
- Experience in contributing to the identification, development, validation, and implementation of innovative computational approaches that improve research productivity and success
Preferred Experience and Skills:
- Experience with Linux and HPC environments.
- Proficiency with modeling software packages (e.g. Maestro, LiveDesign, MOE, OpenEye, Rosetta, etc.).
- Proficiency in scientific scripting and programming languages (e.g. Bash, Python).