Bioinformatics / Data Scientist

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 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 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