Postdoctoral Research Associate

CHARMM-GUI; Lansing (MI); On-site; USD 50,000 - 70,000; Full time

Job summary

A research collaboration team at Michigan State University seeks up to 4 postdoctoral research associates to apply molecular simulation and mathematical methods to develop predictive tools. Candidates should have experience in machine learning and deep learning modeling of biomolecular systems, along with a relevant doctorate. Ideal candidates are proficient in Python and familiar with Unix-based operating systems. Competitive compensation and a stimulating research environment provided.

Qualifications

• Publication record commensurate with career stage and field.
• Relevant prior research experience in AI/ML methods or running simulations at scale.

Responsibilities

• Apply molecular simulation and mathematical methods.
• Extend and develop predictive tools into a broadly usable pipeline.
• Interact with high-performance computing environments.

Skills

Machine learning

Deep learning

Bioinformatics

Programming in Python

Linux operating systems

Education

Doctorate in Biophysics, Biochemistry, Physics, Computer Science, Mathematics, Chemical Engineering, or a related field

Tools

Numpy

Scipy

Pandas

Pytorch

Matplotlib

VMD

NAMD

CHARMM

OpenMM

AMBER

GROMACS

Job description

CHARMM is a versatile program for atomic-level simulation of many-particle systems, particularly macromolecules of biological interest. - M. Karplus

Michigan State University, East Lansing, MI

Description

Position Summary: The Dickson, Feig, Vermaas, Wei, Woldring laboratories together form Team Green, a collaborative research effort funded by DARPA to predict protein structural ensembles, ligand binding affinities, and protein functions through existing bioinformatics approaches and an extensive simulation campaign. To support these efforts, Team Green is looking for up to 4 qualified postdoctoral research associates to apply molecular simulation and mathematical methods to extend and develop these predictive tools into a broadly usable pipeline.

Drs. Wei and Woldring will expect candidates with research experience and record in machine learning and deep learning modeling of biomolecular systems, structural and/or sequence bioinformatics. Research backgrounds in computational biophysics or mathematical AI are welcome.

Required Degree: Doctorate - Biophysics, Biochemistry, Physics, Computer Science, Mathematics, Chemical Engineering, or a related field

Minimum Requirements: A publication record commensurate with career stage and field. Relevant prior research experience. This may be developing related AI/ML methods, or implementing, or running simulations at scale, depending on the group.

Desired Qualifications: Day to day, the expectation will depend on the research group a successful candidate is associated with. Drs. Dickson, Feig, and Vermaas will expect that the researcher has prior experience with a programming language such as python and Unix-based operating systems such as MacOS or Linux. These tools are essential to set up, carry out, and analyze molecular simulation trajectories, and to interact with high performance computing environments needed to run those trajectories. Thus, previous experience with these tools is beneficial but not essential:

• Python libraries like Numpy, Scipy, Pandas, Pytorch, or Matplotlib
• A programmable molecular viewer such as VMD
• Simulation engines such as NAMD, CHARMM, OpenMM, AMBER, or GROMACS
• Basic familiarity with the linux terminal

Required Application Materials: To best evaluate candidates, please provide a list of three recommenders so that the team can reach out when you advance to that stage in addition to your CV and cover letter.

How to Apply

https://careers.msu.edu/jobs/research-associate-fixed-term-east-lansing-michigan-united-states-a4a0ff83-499b-4d34-9879-a2e231c287e2