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
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 firstname.lastname@example.org.