Role Description

We are seeking a Bioinformatics / Data Scientist to join our team in a full-time role. The analyst will work in a small team setting to develop and improve our platform for drug discovery of gene regulators. We are looking for a technology leader interested in developing and applying new computational approaches to solve complex biological problems. The ideal candidate will thrive working in a fast-paced, innovative, early-stage biotech environment.


  • Work closely with scientists on the analysis and presentation of proteomics mass spectrometry data produced by our drug development platform
  • Implement, optimize and maintain in-house or open-source analysis pipelines for -omics data
  • Standardize and document data reports for external customers and collaborators
  • Perform exploratory data analysis and collaborate with web-lab scientists to interpret data from technology development and drug development projects
  • Mine literature and public databases for biological insights on potential biomarkers or therapeutical targets
  • Meet production deadlines for data analyses and be able to pivot between multiple projects
  • Accurately document code and analyses in version-controlled repositories and/or an electronic lab notebook
  • Contribute to a rigorously scientific, cohesive and efficient team environment



  • MS or PhD in Bioinformatics, Computational Biology or closely related disciplines
  • 2 years minimum experience in pharmaceutical research or technology development
  • Hands-on experience analyzing large-scale genomics or proteomics data
  • Track record of implementing bioinformatics analysis pipelines
  • Fluent in Bash, R and/or Python, and comfortable with Git
  • Excellent written and verbal communication skills and organizational skills
  • Able to work independently and confidently within a highly-collaborative, fast-paced environment
  • The successful candidate must be self-motivated, a team player, attentive to details, and able to handle multiple projects simultaneously


  • Experience in cancer biology
  • Strong data visualization skills
  • Ability to implement machine learning and statistical tools to improve workflows and derive insights from large datasets
  • Working knowledge of cloud computing, particularly AWS