Co-Op, Computational Protein Engineering (2022)

Cambridge, Massachusetts, United States | Full-time

Apply

Manus Bio is a next-generation industrial biotechnology company headquartered in Cambridge, Massachusetts that produces plant-based ingredients.  We use a variety of patented and proprietary technologies for engineering microbes for the production of specialty chemicals, such as food ingredients, agricultural chemicals, and pharmaceuticals.  We are seeking a motivated individual for a 6 month computational Co-Op position from January to June 2022 to support activities applying statistical and machine learning techniques to protein engineering.  With guided mentorship and training, this person will be expected to take on a scientific project with direct relevance to and impact on Manus Bio’s R&D platform. 

 

Why work at Manus Bio:

  • Opportunity – For motivated, results-oriented team members, our growth creates opportunities for personal and professional advancement.
  • Accountability – You are given the resources you need to succeed and the freedom to make it happen; in return, we hold each other accountable for our high expectations.  
  • Passion – We love what we do and enjoy working with others who feel the same way. We embrace the challenge and hard work that come with working on the cutting edge.

General Responsibilities:

  • Curate a large and diverse set of protein X-ray crystal structures and high quality models
  • Perform statistical analysis and machine learning techniques on the collection of protein structures to extract key structural motifs to guide protein engineering
  • Develop new computational tools for protein informatics and protein engineering
  • Communicate results with colleagues

 Required Qualifications:

  • Must be actively pursuing a BS or MS degree in Bioinformatics, Computer Science, Statistics, Life Sciences or related quantitative discipline
  • Experience in protein informatics, bioinformatics, or protein modeling and structure prediction
  • Experience in applying statistics and/or machine learning to data processing and analysis
  • Proficient in Python and/or R and/or Java

Preferred Qualifications:

  • Experience with design and development of APIs is preferred.
  • Knowledge and experience with a wide range of biological databases and resources, such as RCSB, UniProt, EMBL-EBI data resources and tools is preferred

 Preferred Working Style:

  • Must be very well-organized and be able to report scientific data thoroughly.
  • Must be a quick learner who is self-motivated and able to ask questions and seek clarity.
  • Must be flexible with day-to-day duties and able to thrive in a start-up environment.
  • Must be an excellent team member with strong communication skills and a desire to work collaboratively.
  • Must hold themselves to the highest professional, scientific and ethical standards.

 

Job Type: R&D Co-Op

Employee Status: Temporary