Free Energy Investigator
Posted on 3/22/2024
TandemAI

51-200 employees

AI-driven, turnkey drug discovery platform
Company Overview
TandemAI stands out as a leader in the pharmaceutical industry, combining proprietary AI technology with large-scale lab operations to expedite and cost-effectively streamline drug discovery. Their unique, fully integrated pre-clinical drug discovery platform is designed to democratize access to advanced tools, thereby enhancing the efficiency and success rate of researchers in finding therapeutic candidates. With a strong presence in both the U.S. and China, TandemAI is committed to improving global health by providing new treatment options more swiftly and affordably.
AI & Machine Learning
Data & Analytics
B2B

Company Stage

Series A

Total Funding

$60M

Founded

2021

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

3%

1 year growth

26%

2 year growth

241%
Locations
Cambridge, MA, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
CategoriesNew
Computational Biology
Biology & Biotech
Requirements
  • PhD in Chemistry, Physics, or related discipline with 5+ years relevant industrial experience post-PhD (or MS in one of these fields with 7+ years of related experience)
  • Extensive hands-on experience in molecular dynamics simulations, free energy calculations, and enhanced sampling methods
  • Extensive programming experience (C/C++ and Python preferred) and familiarity with Linux and high-performance computing resources
  • Strong analytical and problem solving skills
  • Excellent written and oral communication skills, including an ability to explain complex ideas to non-specialists
  • Experience with computer-aided drug design, chemoinformatics, drug discovery, and machine learning
  • Highly motivated to develop computational methods for discovering better medicines
Responsibilities
  • Research and develop methods in molecular simulations and free energy calculations to improve the precision, accuracy, and efficiency of protein-ligand binding free energy predictions
  • Expand the applicability of free energy methods to different parts of the drug discovery process with novel approaches
  • Develop robust and turnkey free energy workflows with zero to minimal user intervention
  • Work closely with multidisciplinary teams of computational and medicinal chemists, data and software engineers, biophysicists, and biologists to integrate free energy calculations into our discovery platform and quantitatively keep track of their effectiveness