Job Opportunities API

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. Contributes to analysis of NGS immunosequencing data, which will require developing innovative methods for statistical analyses for big complex data generated through the experiments. Present results to diverse audience, including a variety of cross-functional senior leadership, clinicians, and executives. Be a problem solver: communicate well, ask questions, proactively eliminate bottlenecks, and be the person people go to when they want a job done right All other duties as assigned. Position Requirements Computational Biologist I  REQUIRED   PhD; or   MS/MA degree +8 years of relevant experience   Preferred   Experience managing, manipulating, interpretating large datasets.   Experience recognizing anomalous and inconsistent data points.   Basic knowledge in at least one scripting language, such as Python or R   Ability to consider outcome when designing analysis and assimilate findings with related dependencies   Communicate project and status updates independently   Experience delivering technical material at department meetings   Computational Biologist II REQUIRED   PhD and 2+ years of experience; or   MS/MA degree and 10+ years of relevant experience   Preferred   Experience managing, manipulating, interpretating large and complex datasets.     Analyzes results by linking data and findings for application to new scientific projects.   Develops an underst