Principal Machine Learning Scientist

Adaptive Biotechnologies is seeking a Principal Machine Learning Scientist to join our innovative team dedicated to advancing immune-driven medicine. As a leader in the field, Adaptive leverages its proprietary immune medicine platform to develop transformative products for diagnosing and treating diseases such as cancer, autoimmune disorders, and infectious diseases. This role offers the opportunity to contribute to groundbreaking research and development efforts within a dynamic and collaborative environment.

In this position, the Principal Machine Learning Scientist will spearhead the design and implementation of advanced machine learning algorithms tailored to analyze complex immunological datasets. Responsibilities include developing predictive models to interpret immune responses, collaborating with cross-functional teams to integrate machine learning solutions into product pipelines, and staying abreast of emerging technologies to drive innovation in immune profiling and diagnostics.

The ideal candidate will possess a Ph.D. in Computer Science, Bioinformatics, or a related field, with a strong background in machine learning and statistical modeling. A minimum of five years of experience applying machine learning techniques to biological data is required. Proficiency in programming languages such as Python or R, experience with deep learning frameworks, and a solid understanding of immunology are highly desirable.

Adaptive Biotechnologies offers a comprehensive benefits package, including medical, dental, and vision plans with substantial employer contributions. Additional perks encompass generous time-off policies, parental leave, and support for professional development. The company fosters a culture of innovation, collaboration, and inclusivity, providing employees with opportunities for growth and the chance to make a meaningful impact on patient care.