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Computational Chemist

  • Location: United States of America
  • Job Type:Permanent

Posted about 2 months ago

  • Sector: Pharmaceutical, Biotech
  • Contact: Brenden Alkire
  • Contact Email: b.alkire@sciproglobal.com
  • Contact Phone: (646) 993-1236
  • Expiry Date: 24 September 2021

​​SciPro been retained by an innovative small (~15 people) biotech start-up that is looking for a Computational Chemist to come in and utilize their in-house physics-based drug discovery platform for early-stage small molecule drug discovery. They’ve been able to develop a high-performance computing framework to conduct large-scale MD studies combined with AI-augmented free energy-based methods – all in order to initiate and accelerate preclinical drug discovery against emerging and challenging drug target classes. They pride themselves on being a completely egoless environment that can provide the creative freedom to lead projects and work closely together as a team.

In order to excel in this role, you should have experience in one (or multiple) of the following:

  • Markov State Model

  • Free Energy Calculations

  • Enhanced Sampling

  • Forcefield Development

  • Experience with Machine Learning

  • Homology modeling and Protein System Preparation

You should be self-motivated and incredibly passionate about the work you’re doing. In order to qualify for the role, you should possess the following:

  • PhD in Computational Chemistry (or related discipline and experience).

  • Strong record of success as shown through previous publications, presentations, or patents.

  • Experience with modern computational techniques applied to drug discovery/drug design, or closely related setting.

  • Excellent communication and willingness to work closely as a team.

  • Experience in Python, C, or C++.

If you are excited about working in a team-oriented environment with great potential for growth, please apply to the link or reach out to Brenden directly at b.alkire@sciproglobal.com.