Computational Biologist - Machine Learning, Antigen Map

Adaptive Biotechnologies
Capitol Hill, Washington, US
May 06, 2021
May 11, 2021
Adaptive Management
Employment Type
Full time
Salary Type
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 immune system into the clinic.

The Antigen Map is seeking a thoughtful computational biologist who is enthusiastic about data analysis, machine learning, the immune system, and improving human health. 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 cancer, autoimmune, and infectious disease.

We are looking for someone with substantial experience in solving classification problems in biological datasets and communicating results to diverse audiences. 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.


Perform quick and thorough analyses of DNA sequencing of T-cell receptors and other clinical data to understand confounders, make descriptive figures, and address key scientific questions.
Develop and apply robust machine learning methods that combine biological insights with rapidly evolving data.
Communicate with external collaborators to design experiments and manage clinical metadata
Present results to a wide variety of stakeholders, from wet lab and computational scientists to clinical, commercial, and 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 PhD in Computer Science, Statistics, Biostatistics, Genomics, or related field and 2+ years of relevant experience (or a Master's degree with 10+ years of experience)
Proficiency in Python
Demonstrated ability to work on multidisciplinary teams
Experience in presenting technical material to diverse audiences
Experience with detailed analysis of next-generation sequencing datasets
(Preferred) Experience with clinical data and samples (e.g., clinical trials, observational studies)
(Preferred) Extensive experience and domain knowledge in infectious or autoimmune disease

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