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.
DATA ANALYST (TECHNICAL ASSOCIATE I), Learning Ecosystems Accelerator for Patient-centered, Sustainable Innovation (LEAPS)-MIT NEW Drug Development ParadIGmS (NEWDIGS) (part-time, 60%), to participate in the design and execution of a research protocol to extract a cohort of patients with rheumatoid arthritis (RA) and subgroups as appropriate. Will tabulate, summarize, and analyze the Massachusetts All-Payers Claims Database (APCD) RA extract to support ongoing research efforts of the LEAPS modelling and simulation team; collaborate on developing appropriate analytical cohorts based on claims continuity and disease stage (e.g., initiation on methotrexate or ongoing therapy); analyze patient clinical and demographic characteristics and the distribution of treatment utilization overall by major payer entity provider-type and over time; determine patterns of utilization by therapy, including duration of therapy, changes in dosage, and treatment holidays; examine prescribing patterns across provider types and geographic distribution and compare with treatment guidelines; and perform other duties assigned.
NEWDIGS is an international “think-and-do-tank” dedicated to delivering more value faster to patients in ways that work for all stakeholders. LEAPS is advancing the mission of MIT NEWDIGS through a new collaborative systems approach to the planning, generation, and use of evidence across R&D and healthcare delivery.
REQUIRED: bachelor’s degree (master’s preferred) in computer science, health care analytics, informatics or similar discipline; at least two years’ experience working with large healthcare data sets; experience with programming (e.g., SAS, Python, R, SQL, Postgres), working with big data, standardizing complex datasets, and data cleaning and transformation; familiarity with basic statistical modelling; documentation skills; attention to detail; good communication skills; experience working with healthcare claims data and cloud-based and serverless application environments; and experience with rheumatoid arthritis or related diseases. Knowledge of the U.S. healthcare system preferred. Job# 17886
Schedule to be determined.
This is a part-time position (60% effort) with the potential to transition into a full-time position based on project needs. It is available to start immediately and is funded through 2020 with the possibility of renewal based on performance and continued project sponsorship.
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.