Technical Associate I, Jones Lab

Massachusetts Institute of Technology • Cambridge, MA

73d

About The Position

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.

Requirements

• 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 the group, as well as with colleagues at MIT.
• Excellent written and oral communication skills.
• Ability to balance multiple projects simultaneously.

Nice To Haves

• Research experience in the field of genomics and/or cancer biology.
• Familiarity with the fields of cancer biology and systems biology.

Responsibilities

• Support the computational objectives of the group by establishing data resources and analytical pipelines.
• Contribute to and possibly lead research projects that will appear in conferences and scientific journals.
• Curate publicly-available cancer data resources for research projects.
• Develop computational pipelines and software for single-cell, long-read, spatial genomics, lineage-tracing, and microscopy assays.
• Develop data pipelines for new technologies in collaboration with colleagues in various core facilities.
• Train and deploy machine-learning models for studying aspects of tumor evolution.
• Keep detailed code and analysis notebooks, and records of plans and progress.
• Give journal club and lab progress presentations at lab meetings.
• Work collaboratively with an interdisciplinary team of computational and experimental scientists.

What This Job Offers

• Industry: Educational Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees