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Computational Biologist

Dyno Therapeutics
Watertown, Massachusetts, US
Closing date
May 26, 2022

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Academic / Research
Conservation science
Salary Type
Employment Type
Full time
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The Company

Dyno Therapeutics is reshaping the gene therapy landscape through AI-powered vectors. Through the application of our transformative technologies and strategic partnerships with leaders in gene therapy, we believe a future with life changing gene therapies for millions of people is within reach.

Our team includes world-class molecular and synthetic biologists, protein engineers and gene therapy scientists working alongside software engineers, data scientists, and machine learning experts. Dyno was named Xconomy's 2020 start-up of the year and Endpoints 11 in 2021!

The Role

The Computational Biology team is responsible for analyzing biological data in a statistically rigorous manner and applying the resulting insights to subsequent rounds of experiments. In addition to developing methods for processing sequencing data from high-throughput viral screens, we collaborate with molecular biologists to design new experiments and approaches to data generation. The team communicates findings to experimental biologists and machine learning scientists with effective visualization and education. The Computational Biology team works closely with other teams and is instrumental in enabling decision-making based on the data collected at Dyno.

How You Will Contribute

As a Computational Biologist you will develop methods and build tools to analyze and process next-generation sequencing data. In this role you will help to develop technology and design experiments to ensure data is interpretable and actionable. This is a highly collaborative position working closely with our scientific and machine learning teams to enable data based decision making. The Computational Biology group works on challenging but highly focused problems with the potential to impact a wide range of diseases, and as part of this group you will have the opportunity to see your work to directly influence the direction of our research.

  • Apply and develop Quality Control analyses to help teams make decisions based on data
  • Support technology development and contribute to experimental design to ensure data are interpretable and actionable
  • Collaborate with biologists, business development and intellectual property teams to prepare reports, figures, and presentations for external audiences
  • Develop and refine statistical methods for processing next-generation and long-read sequencing data
  • Analyze and interpret Dyno's data to identify areas to improve our molecular biology platform
  • Collaborate with software engineers to streamline data processing workflows
Who You Are
  • Trusted partner
  • Team oriented
  • Thoughtful & detail oriented
  • Work with a sense of urgency
  • Appreciate opportunities at the intersections of data science and biology
Basic Qualifications
  • BS, MS, or Ph.D. in computational biology, statistics, physics (or related fields) or equivalent experience
  • 1+ years' experience working with NGS data
  • Strong theoretical foundation in statistics
  • Expertise in Python and relevant data science packages (e.g. pandas, scipy, seaborn)
  • Passion for solving problems
  • Ability to communicate and collaborate with scientists of different backgrounds
Preferred Qualifications
  • Internship or work experience in an industry setting
  • Publications in peer-reviewed journals or conferences
  • Familiarity with any of the following: molecular biology, protein engineering, gene therapy, immunology, or virology
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Type: Full-time
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