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.
The Antigen Map project is a collaboration between Adaptive and Microsoft Healthcare to map and decode the human immune system, nature’s most finely tuned diagnostic. Together, we are using immunosequencing, proprietary computational modeling and machine learning to map T-cell receptor (TCR) sequences to the antigens they bind. Using this data, we aim to translate the natural diagnostic capability of the immune system into the clinic.
The Antigen Map Group is seeking a thoughtful Intern, Bioinformatics Scientist who is enthusiastic about applying cutting-edge analytical techniques to improve human health. We’re looking for someone who excels at data analysis, statistical modeling, and scientific programming.
You will join the cross-functional and highly collaborative Antigen Map group, where we work with large clinical datasets of T-cell repertoires to build machine learning based diagnostic models for various diseases. Your work will involve building models to identify metadata bias, developing an automatic tool for machine learning experiment design and contributing to the Antigen Map modeling and analysis pipeline.
- Become fluent at interpreting clinical datasets of T-cell repertoires.
- Conduct exploratory data analyses and visualizations to address key research questions.
- Develop statistical or machine learning methods to quantify metadata bias in the given clinical dataset and estimate its impact on the performance of disease classification models.
- Contribute to pipeline development with modular programming and tool development.
- Present results clearly and effectively to stakeholders within the company.
- 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 coursework in bioinformatics, computational biology, statistics, genomics or similar discipline.
- A strong computational background, with demonstrated experience developing and applying statistical and machine learning tools to biological data.
- Proficiency in python is required.
- Be a collaborative and supportive team member.
- Be a critical thinker who asks good questions.
- Detail oriented.
- Be independent, curious, and motivated to do outstanding work.
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.