Deep Learning Researcher

1 week ago


Waltham, Massachusetts, United States Manus Full time

We are seeking a highly motivated and experienced Computational Research Scientist to join our R&D team at Manus Bio. This individual will specialize in deep learning to solve biological problems and contribute to the development of AI tools for creating better enzymes, microbes, and bioprocesses.

About Manus Bio

At Manus Bio, we work across industries and value chains to accelerate the transition to BioAlternatives – better-performing and more sustainable versions of complex molecules traditionally sourced from plants, animals, or fossil fuels. Our platform is proven to work across scales, bridging the Valley of Death between lab and manufacturing more efficiently and more reliably to deliver the benefits of synthetic biology today.

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.
  • 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 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.

Preferred Qualifications

  • 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.


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