Manus S.A.S - Waltham, MA

posted 3 months ago

Full-time - Entry Level
Waltham, MA
Specialty Trade Contractors

About the position

Manus Bio is at the forefront of transforming industries through the development of Bio Alternatives, which are sustainable and high-performing substitutes for complex molecules traditionally derived from plants, animals, or fossil fuels. We are currently seeking a Computational Research Scientist specializing in deep learning to tackle biological challenges. This role is pivotal within our R&D team, where the successful candidate will leverage deep learning and AI to enhance the design of enzymes, microbes, and bioprocesses, ultimately contributing to the production of more sustainable Bio Alternative products. The ideal candidate will possess a strong foundation in deep learning, with experience in at least one specific area while also being familiar with a variety of techniques such as data pipeline development, metabolic engineering, or protein engineering. This position offers a unique opportunity to work on cutting-edge projects that bridge the gap between laboratory research and manufacturing, ensuring that our innovative solutions are both efficient and reliable. At Manus Bio, we value motivated individuals who are results-oriented and eager to grow. Our culture emphasizes accountability, providing team members with the resources and freedom necessary to succeed while maintaining high expectations. We are passionate about our work and seek individuals who share this enthusiasm and are ready to embrace the challenges of working in a dynamic, innovative environment.

Responsibilities

  • Develop and implement deep learning models to predict and optimize enzymes and metabolic pathways in microbial systems
  • Conduct simulations and modeling of metabolic networks to identify key regulatory nodes and potential engineering targets
  • Drive the development of digital infrastructure, including web UI development and data pipeline development, to support computational bioengineering
  • Perform protein variant designs with established protocols to support in-house projects
  • Collaborate with experimental biologists to design and interpret experiments that validate computational predictions
  • Communicate results and insights to multidisciplinary teams, including presentations and written reports

Requirements

  • Ph.D. in Bioengineering, Biochemistry, Biostatistics, Chemical Engineering, Computer Science, or similar discipline, with 0-5 years of experience and a strong focus on deep learning and/or cell engineering
  • Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries
  • Proficiency in programming languages such as Python, R, or MATLAB
  • Excellent communication skills, both written and verbal

Nice-to-haves

  • Familiarity with metabolic engineering and synthetic biology principles
  • Knowledge of metabolic flux analysis and constraint-based modeling (e.g., FBA, COBRA toolbox)
  • Knowledge of protein structural modeling and prediction
  • Experience in industrial biotechnology or a related industry

Benefits

  • Opportunities for advancement
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