Massachusetts Institute of Technology
Technical Associate I, Jones Lab
Massachusetts Institute of Technology, Cambridge, Massachusetts, us, 02140
Overview
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. This position involves supporting the research objectives of our group, including generating large-scale genomic, imaging, and perturbational datasets to study various aspects of tumor evolution under the supervision of a research advisor. The successful candidate may contribute to and possibly lead research projects that will appear in conferences and scientific journals. Work will include tissue culture with drug treatment time courses; use of cutting-edge sequencing technologies (single-cell, spatial, and long-read) to study patient-derived specimens; imaging for cytogenetic assays (e.g., metaphase spreads) to profile oncogene amplifications in cancer cells; basic data analysis and visualization using computational pipelines, including scripts written in Python and R; keeping detailed records of plans, progress, and results; presenting journal clubs and lab progress updates at lab meetings; and collaborating with other technicians, post-docs, and research scientists in our lab, as well as with colleagues at MIT.
Responsibilities
Generate large-scale genomic, imaging, and perturbational datasets to study tumor evolution under supervision.
Contribute to, and possibly lead, research projects intended for conferences and scientific journals.
Perform tissue culture work, including drug treatment time courses.
Employ cutting-edge sequencing technologies (single-cell, spatial, and long-read) on patient-derived specimens.
Conduct imaging for cytogenetic assays to profile oncogene amplifications in cancer cells.
Perform basic data analysis and visualization using computational pipelines; develop scripts in Python and R.
Maintain detailed records of plans, progress, and results.
Present at journal clubs and lab meetings; communicate progress to the team.
Collaborate with technicians, post-docs, and research scientists in the laboratory and with MIT colleagues.
Qualifications
REQUIRED:
Bachelor’s degree in Biology, Biochemistry, Molecular Biology, or a related field; at least two years of hands-on experience in an experimental research lab (including undergraduate experience).
High degree of independence and self-motivation.
Strong ability to work collaboratively within the group and with MIT colleagues.
Ability to work in high-paced interdisciplinary teams.
Excellent written and oral communication skills.
Ability to balance multiple projects simultaneously.
PREFERRED:
Research experience in cancer biology, molecular biology, and/or genomics; experience with programming languages for data analysis.
Please submit a cover letter with your application.
Posting date: 10/15/2025
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Responsibilities
Generate large-scale genomic, imaging, and perturbational datasets to study tumor evolution under supervision.
Contribute to, and possibly lead, research projects intended for conferences and scientific journals.
Perform tissue culture work, including drug treatment time courses.
Employ cutting-edge sequencing technologies (single-cell, spatial, and long-read) on patient-derived specimens.
Conduct imaging for cytogenetic assays to profile oncogene amplifications in cancer cells.
Perform basic data analysis and visualization using computational pipelines; develop scripts in Python and R.
Maintain detailed records of plans, progress, and results.
Present at journal clubs and lab meetings; communicate progress to the team.
Collaborate with technicians, post-docs, and research scientists in the laboratory and with MIT colleagues.
Qualifications
REQUIRED:
Bachelor’s degree in Biology, Biochemistry, Molecular Biology, or a related field; at least two years of hands-on experience in an experimental research lab (including undergraduate experience).
High degree of independence and self-motivation.
Strong ability to work collaboratively within the group and with MIT colleagues.
Ability to work in high-paced interdisciplinary teams.
Excellent written and oral communication skills.
Ability to balance multiple projects simultaneously.
PREFERRED:
Research experience in cancer biology, molecular biology, and/or genomics; experience with programming languages for data analysis.
Please submit a cover letter with your application.
Posting date: 10/15/2025
#J-18808-Ljbffr