Intern, Antigen Map Computational Biology
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 Antigen Map project is a collaboration between Adaptive and Microsoft Healthcare to map and decode the human adaptive immune system. Together, we are using immunosequencing, computational modeling, and machine learning to map T-cell receptors (TCRs) to the antigens they bind. Using this data, we aim to translate the natural diagnostic capability of the adaptive immune system into the clinic.
The Antigen Map project is seeking a thoughtful Computational Biology Intern 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 machine learning.
You will join a team within the Antigen Map project that uses data from TCR-antigen binding experiments to characterize the adaptive immune response to disease. We combine machine learning techniques with experimental data on T cells, a small number of labeled samples, and our large database of unlabeled T cell repertoires to classify disease status.
Key Responsibilities and Essential Functions
- Become fluent in interpreting results from MIRA—a multiplexed cellular assay reporting TCR-antigen binding.
- Conduct exploratory data analyses and visualizations to address key research questions.
- Develop machine learning methods to improve models for diagnosing and/or classifying common viral infections.
- 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.
Position Requirements
- Education: Graduate coursework in bioinformatics, machine learning, computational biology, statistics, genomics, or related discipline. PhD candidates preferred.
- Specialized knowledge and skills: A strong computational background, with demonstrated experience developing and applying statistical and machine learning tools to biological data. Proficiency in python is required.
- Other characteristics: 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.
Working Conditions
Computational work.
#LI-Remote
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.