Scientist, Computational Biochemist
6 days ago
Menten AI is growing and seeks a full-time computational biochemist to develop new applications and tools. The ideal candidate will be responsible for identifying innovative solutions to complex problems within the cyclic peptide design and optimization space. We are expecting a researcher capable of working alongside the rest of the platform development team as we further advance our computational platform. We seek a researcher willing to acquire new skills and actively participate in our decision-making process as we scale and enhance our platform. We prioritize a team player who can embrace and contribute to our positive culture of mutual support and growth.
Location: Remote
Core Responsibilities- Develop new computational methods to accelerate the design and optimization of cyclic peptide therapeutics.
- Work alongside machine learning developers or independently contribute to machine learning projects.
- Analyze data and suggest directions for platform advancement based on scientific insights and platform performance.
- Implement existing and novel methods into Menten AI's computational platform for utilization at production scale.
- Contribute to the maintenance of existing areas of the platform to ensure resilience, scalability, and scientific accuracy.
- Report to the team on your progress and incorporate feedback from others, including application scientists at Menten AI.
- Be a team player by identifying areas for improvement, aiming to enhance scientific results and computational efficiency to solve complex problems.
- Ph.D. in life sciences or computational disciplines.
- Experience with developing in silico methodologies for optimization of peptides, biologics, or small molecules.
- Proficiency in developing protocols with at least one of the following: Rosetta, PyRosetta, OpenMM, RDKit, GROMACS, AMBER, GAMESS.
- Ability to program in Python and familiarity with common packages such as BioPython, Pandas, NumPy, SciPy, and sci-kit-learn.
- Skilled in collaborative research environments, contributing to shared repositories and adhering to best practices, including the use of git.
- Willingness and interest to pick up new skills to solve complex problems.
- Having trained new AI models for predicting properties or generation of peptides, biologics, or small molecules.
- Experience in the Biotechnology Industry.
- Previous experience in method development for cyclic peptide docking, scoring, or design.
- Familiarity with Linux, SQL, and cloud computing (AWS, Google Cloud, or Azure).
- Experience developing C++ code – Particularly C++ development in Rosetta is highly valued.
- Experience in free energy calculations from molecular dynamics simulations or other QM/MM approaches.
Mid-Senior level
Employment typeFull-time
Job functionResearch, Analyst, and Information Technology
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