Technical Associate II
Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.
TECHNICAL ASSOCIATE II, Institute for Medical Engineering and Science (IMES)-Shalek Lab, to join collaborative projects between the Shalek Lab at MIT, Broad Institute, Ragon Institute, and Children’s Hospital/Boston that are focused on developing and applying computational pipelines and analytical tools for clinical studies involving single-cell RNA-sequencing at scale. Will perform independent research with specific applications in pediatric autoimmune diseases and extend to infectious disease, tissue development, and homeostasis. The majority of time will be spent in the Shalek Lab and within the community of the clinical labs, utilizing core techniques in the careful annotation and deposition of data, developing computational pipelines for large-scale single-cell RNA-sequencing data analysis, interpreting complex data, and performing data visualization techniques. Will also carefully consider study design; manage servers; utilize cloud computing platforms; perform data analysis involving bash, python, and R; interpret and contextualize findings and communicate results; and advise on experimental design and applicability. Will also be involved in the development and parallelization of efficient, user-friendly pipelines and databases and perform other duties as assigned.
REQUIRED: bachelor’s degree (master’s preferred) with coursework in statistics and computer science; four years’ research experience (inclusive of undergraduate work); knowledge of bash, python, R, and/or other programming languages; strong communication, time-management, and problem-solving skills; and ability to learn quickly, balance project, work independently and as part of a team, and contribute to the lab environment. Experience with database design and administration, version control systems, software engineering and deployment, cloud computing environments, and data science preferred; as is familiarity with single cell RNA-seq analysis pipelines. Coursework in computational biology and related fields such as mathematics, biostatistics, or biology also preferred. Job #17548
This is a one-year appointment with the possibility of renewal contingent upon funding.