Computational Biologist I/II/ Sr

About this role

At Adaptive, we’re Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated. As an Adapter, you’ll have the opportunity to make a difference in people’s lives. With Adaptive, you’ll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application. It’s time for your next chapter.

Discover your story with Adaptive. Position Overview Adaptive is seeking a thoughtful computational biologist who is enthusiastic about statistics, genetics, and improving human health. We’re looking for someone who excels at data analysis, statistical modeling, and communicating results to diverse audiences. You will join a highly collaborative Computational Biology group that conducts analyses to support key decisions within the company and for our clients.

Your work will focus on supporting our clinical operations laboratory; verification and validation of process changes, trending analysis, problem finding and troubleshooting, and data driven risk analysis. Outstanding candidates will have demonstrated the ability to work independently and as part of an interdisciplinary team. Adaptive strongly values professional development, and we are committed to helping team members grow in their careers.

Key Responsibilities and Essential Functions Collaborate with wet lab scientists to design experiments and analyze both historical and experimental data Perform quick and thorough analyses of DNA sequencing data to understand outliers, perform QC, make descriptive figures, and address key statistical questions Leads the statistical analysis design process supporting IVD-level product and QC method development studies while adhering to appropriate regulatory guidance, including CLSI and Design Control.

Independently writes and contributes to study protocols, data analysis, and final reports in working with other scientists in the group. Facilitates consensus approval for development study protocols, coordinating input from various technical stakeholders to ensure statistical plans meet business needs and CLIA/CAP, ISO and FDA requirements. Utilizes internal processes and tools that support efficient document writing and life-cycle maintenance.