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.

RESPONSIBILITIES

• 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

QUALIFICATIONS

Required

• 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 proteomics (preferred) or genomics 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

Preferred

• 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