Technical Associate I, Jones Lab

Posting Description

TECHNICAL ASSOCIATE I, Koch Institute for Integrative Cancer Research (KI) - Jones Lab, to join our interdisciplinary team focused on studying the spatiotemporal evolution of cancer as a computational research technician. Will be tasked with supporting the computational objectives of our group, particularly in establishing data resources and analytical pipelines that enable us to adopt cutting-edge technologies to study multiple aspects of tumor evolution; contributing to, and possibly lead, research projects that will appear in conferences and scientific journals; curating publicly-available cancer data resources for research projects; development of computational pipelines and software for single-cell, long-read, spatial genomics, lineage-tracing, and microscopy assays (including developing data pipelines for new technologies in collaboration with our colleagues in the High-Throughput Sciences, Histology, Microscopy, and IGB: Genomics core facilities); training and deployment of machine-learning models for studying aspects of tumor evolution; keeping detailed code and analysis notebooks, and records of plans and progress; giving journal club and lab progress presentations at lab meetings; and working collaboratively with our interdisciplinary team of computational and experimental scientists, as well as with colleagues across MIT.

Job Requirements

REQUIRED: A Bachelor's degree in computer science, bioinformatics, statistics, bioengineering, or a related field; a minimum of two years of hands-on experience in a computational research setting (academic or industry), which may include experience gained as an undergraduate; proficiency in coding and utilization of machine-learning tools and approaches; high degree of independence and self-motivation; strong ability to work collaboratively with others in our group, as well as with colleagues at MIT; excellent written and oral communication skills; and ability to balance multiple projects simultaneously. PREFERRED: Research experience in the field of genomics and/or cancer biology and familiarity with the fields of cancer biology and systems biology.

Please submit a cover letter with application.

10/15/2025