Computational Biologist II

Adaptive Biotechnologies
Seattle, Washington, US
Sep 14, 2021
Sep 16, 2021
Adaptive Management
Employment Type
Full time
Salary Type
We are powering the age of immune medicine- you can too. At Adaptive, our goal is to meaningfully improve people's lives by learning from the wisdom of the adaptive immune system.
As an Adapter, you will be surrounded by driven colleagues who think boldly to pursue ground-breaking innovation. You will experience meaningful challenge in your work and be fueled by motivating energy knowing you make a difference in people's lives.
You belong here- come discover your story at Adaptive.
Position Overview
The Assay Integration and Informatics group is part of the Molecular Research and Innovation group at Adaptive. We are focused on creating innovative computational and biological solutions for genomic assays, expanding the depth of Adaptive's toolkit, and the breadth of treatable diseases. The Assay Integration and Informatics group works with wet-lab scientists and software engineers to create robust, analytically consistent molecular assays, methods, and tools that integrate across Adaptive.
The Assay Integration and Informatics group is seeking a thoughtful computational biologist who is enthusiastic about statistics, genetics, immunology, and improving human health. We're looking for someone who excels at data analysis, statistical modeling, molecular design, data management, 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 creates innovative solutions. Outstanding candidates will have demonstrated 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.
Collaborate with wet lab scientists to design experiments, design molecules, and analyze data
Perform quick and thorough analyses of DNA sequencing data to understand outliers, make descriptive figures, and address key statistical questions
Build and evaluate probabilistic models of experimental processes
Build and modify bioinformatic pipelines for NGS data
Present results to a wide variety of stakeholders, from wet lab scientists to executive team members
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
Graduate degree (Master's or PhD) in Statistics, Biostatistics, Computational Biology, or related field
2+ years of related experience
Proficiency in at least one common coding language (R, python, etc.)
Use of version control (git, bitbucket)
Demonstrated ability to work on multidisciplinary teams
Experience in presenting technical material to diverse audiences
Solid understanding of multiplex PCR assay design and data analysis
Experience with experimental design and analysis of -omics data
Experience working in a molecular biology lab, or working closely with wet lab scientists on data generation and analysis
Experience working with relational databases
Where permitted by applicable law, applicant must have received, or be willing to receive, a COVID-19 vaccine by date of hire to be considered for employment.
Adaptive Biotechnologies is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Equal Opportunity Employer/Veterans/Disabled
NOTE TO EMPLOYMENT AGENCIES: Adaptive Biotechnologies values our relationships with our Recruitment Partners and will only accept resumes from those partners whom have been contracted by a member of our Human Resources team to collaborate with us. Adaptive Biotechnologies is not responsible for any fees related to resumes that are unsolicited or are received by any employee of Adaptive Biotechnologies who is not a member of the Human Resources team.PDN-942bfed7-c337-4b09-9ee0-a2c234bd2a8a