Head of Computational Biology

Muse Biotechnology, Inc.
Job Location
Boulder, CO
Job Description

Muse bio has an outstanding opportunity available for a motivated and highly accomplished scientist to lead our Bioinformatics and Computational Biology department. This impactful role is responsible for creating, managing, and coordinating the computational strategy in support of Muse’s entire research effort and product development pipeline. 

This position will build and lead a team of bioinformatics scientists, mathematicians, and computer scientists for the development of methods and tools for complete genome sequence analysis and high-throughput experimental design and data mining. The ideal candidate will possess a broad understanding of machine learning algorithms, high-end computing, genomics, genetics, bioinformatics, have superior leadership and cross-functional communication skills, and able to successfully manage complex projects and influence multi-disciplinary teams.


  • Lead integration with the research and development groups to drive quantitative Design of Experiments (DoE) and statistical analysis 
  • Develop machine learning strategy in genomics including building a team of machine learning experts
  • Design and develop algorithms with emphasis on genomics
  • Adapt and develop analysis approaches and software tools
  • Prototype data delivery and analysis tools for new software applications
  • Performs other work related duties as assigned
  • Ph.D. in computer science, mathematics, engineering, bioinformatics, biostatistics, (or biology/genetics, along with a very strong algorithm development background)
  • 10+ years of machine learning especially in biology and genomics, 5 + years of management experience
    Proven ability to hire, coach and develop world class talent
  • Excellent leadership capabilities with demonstrated skill in building, guiding and motivating effective teams and fostering productive research collaborations
  • Previous experience manipulating and analyzing very large data sets essential. Software skills appropriate for this analysis (shell scripting, Perl/Python, C/C++, SQL, etc.)
  • Strong signal processing experience and background
  • Understanding or have background experience with high performance computing
  • Demonstrated independent thought and judgment in developing methods, techniques and evaluation criteria
  • Knowledge of key third party software platforms, tools and databases for sequence analysis a plus
  • Familiarity with common statistical and data mining techniques used in analyzing biological data a plus
  • Strong problem-solving skills and ability to think creatively
  • Strong statistical analysis skills
  • Energetic and motivated self-starter
  • Ability to learn quickly in a fast-paced startup environment
  • Excellent analytical, problem solving, communication, and presentation skills
About Our Organization

Nestled in the foothills of the Rocky Mountains in Boulder Colorado, Muse bio is revolutionizing genome engineering. Muse bio’s success is driven by the great people who work at the Company and our ability to recruit and retain additional highly qualified and motivated people. We offer an excellent compensation package including a competitive salary, company ownership, comprehensive benefits and the opportunity to be part of a dynamic growth company environment. Muse bio is an equal opportunity employee.

New study finds bias against female lecturers among student course evaluations, the Economist reports.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.