Intern, Computational Biology for Antigen Map
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 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 adaptive immune system into the clinic.
The Antigen Map Group is seeking a thoughtful Intern, Computational Biology 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 a team within the Antigen Map that is mining large clinical datasets for disease-associated TCRs and using them to build machine learning-based diagnostics in autoimmune and infectious diseases. Your projects may include analyzing real world data from a COVID-19 diagnostic, building tools to facilitate data analysis and modeling, and building novel machine learning models in new disease applications.
Key Responsibilities and Essential Functions
- Become fluent at interpreting the immune repertoire data produced by our TCR sequencing assay.
- Conduct exploratory data analyses and create visualizations to address key research questions.
- Develop statistical or machine learning methods to assess the effects of different types of clinical metadata on classifying disease exposure.
- Present results to a wide variety of stakeholders within the company.
- Write well documented, reproducible code.
- 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 statistics, genomics, computational biology, or similar discipline.
- Specialized knowledge and skills: A strong computational background, with demonstrated experience analyzing large biological data sets. Proficiency in python is required. Machine learning experience and previous coursework or research on the adaptive immune system are preferred.
- Other characteristics: Be a collaborative and supportive team member. Be a critical thinker who asks good questions. Be independent, curious, and motivated to do outstanding work.
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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
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