Skip Navigation

Working at MIT offers opportunities that just aren’t found anywhere else, including generous and unique benefits that help to ensure that MIT employees are healthy, supported, and enjoy a fulfilling work/life balance. Discover more about what it's like to work at MIT.

We welcome people from all walks of life to bring their talent, ideas, and experience to our community. We strongly encourage applications from individuals from all identities and backgrounds – like yours. If you want to be part of our exceptional, multicultural, collaborative, and inclusive community, then take a look at this opportunity.

MIT provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a full time position at the time of posting (if you are applying for a part time salaried job, you will need to prorate the posted pay range). The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. This pay range represents base pay only and does not include any other benefits or compensation.

Technical Associate I
  • Job Number: 25780
  • Functional Area: Research - Scientific
  • Department: Comp Sci & Artificial Intelligence Lab
  • School Area: Schwarzman College of Computing
  • Pay Range Minimum: $50,000
  • Pay Range Maximum: $63,000
  • Employment Type: Full-time (Hybrid)
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule:
  • Pay Grade: No Grade


Posting Description

TECHNICAL ASSOCIATE I, Computer Science and Artificial Intelligence Lab, works in a dynamic and creative lab at the interface of computational and experimental research to help dissect the mechanisms underlying the genetics of cancer, neurodegenerative, neuropsychiatric, and immune diseases by refining and validating biological hypotheses to generate new datasets for computational analysis. Will develop a deep understanding of the project(s) to assist with experimental and project planning; and be responsible for the experimental execution of high-level research objectives and applying advanced research skills in broad areas of assignments and related fields under the supervision of the project coordinator, research scientists, and other researchers in the lab to plan projects, prioritize tasks, and achieve goals in a timely manner.

The full job description is available here: https://www.dropbox.com/scl/fi/a770smnzzwkp7avrjlrs8/JD-Technical-Associate-1-Kellis.pdf?rlkey=ldaaaomt4mxd26tm2dfwc1q9u&st=7axdcmhl&dl=0   

Job Requirements

REQUIRED: Bachelor’s degree in biology or a related field; experience in performing molecular biology and next generation sequencing experiments; excellent interpersonal and communication skills; ability to convey information toothers in a concise manner and to ensure understanding; and knowledge of how to identify and select appropriate tools, data, and analysis techniques to diagnose problems and develop solutions.

Some evening/weekend work required depending on project deadlines and cell cultures.

6/9/2026