Staff Bioinformatics Scientist at Mission Bio
South San Francisco, CA, US

Are you curious, driven, and collaborative? Do you want to work at one of the most innovative and impactful biotech companies in the bay area? We were voted Method of the Year 2019 Nature Methods and #2 on the Scientist 2018 Top 10 innovations list. Our mission is to enable our customers to eliminate cancer.

Mission Bio is a start-up providing the best-in-class solution for single-cell genomics across the range of research and translational/clinical medicine. We are a small team that is growing rapidly, so this is an opportunity for a talented, driven individual to make a significant impact on the direction and success of an exciting young company. We are committed to diversity. If you are a collaborative, curious, hardworking professional who thrives in a fast-paced, dynamic, supportive environment, we would love to meet you.


We are looking for a highly motivated and experienced Bioinformatics Scientist who can bring their knowledge of Bioinformatics, NGS assays and analysis methods to take a key role in the data analysis and biological interpretation of Mission Bio’s single cell genomic and multi-omic assays. The successful candidate will have the fantastic opportunity to work on first of its kind single cell multi-omics data which is named the method of the year 2019 by Nature.

  • Lead the development of bioinformatics pipelines and data analysis methods that will be used to guide development of a variety of single cell applications
  • Investigate datasets to undercover trends and root cause of errors that impact system performance
  • Participate in the design of experiments, build analysis tools and performance metrics that will allow continual monitoring of assay performance
  • Communicate analysis results to internal and external stakeholders
  • Collaborate with research scientists, marketing, and customers to support project planning and commercial launch




To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The candidate should have:

  • PhD or Master’s in bioinformatics, computational biology fields. 5+ years industry experience or relevant academia experience required
  • Extensive experience with analysis of large NGS datasets for applications including variant calling, copy number detection, gene expression, protein expression
  • Experience working with single-cell data and/or good understanding of the signal and noise in single cell data. Experience with multi omics data is a plus
  • Strong computational and programming skills in Python (preferred) and/or R and hands-on experience working with statistical and machine learning packages
  • Experience applying statistical and mathematical models to complex and noisy datasets is a plus
  • Hands-on experience with data visualization tools and packages is a plus
  • Familiarity with common bioinformatics databases and tools, next generation sequencing technology and assays
  • Strong verbal and written communication skills, collaborative team spirit
  • Must be able to think independently, work collaboratively and contribute to a fast-paced environment