Open positions at NEWDIGS:

LEAPS Data Analyst (Technical Associate I)

FoCUS Drug Development Pipeline Researcher

LEAPS DATA ANALYST (TECHNICAL ASSOCIATE I), Learning Ecosystems Accelerator for Patient-centered, Sustainable Innovation (LEAPS), 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; tabulate, summarize and analyse the Massachusetts All-Payers Claims Database (APCD) RA extract to support ongoing research efforts of the LEAPS modelling and simulation team; work with other LEAPS project research personnel to develop appropriate analytical cohorts based on claims continuity and disease stage (e.g. initiation on methotrexate or ongoing therapy); analyse clinical and demographic characteristics of RA patients and 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, geographic distribution and compare with treatment guidelines; perform other duties assigned.

MIT NEW Drug Development ParadIGmS (NEWDIGS) is an international “think and do tank” dedicated to delivering more value faster to patients in ways that work for all stakeholders. The Learning Ecosystems Accelerator for Patient-centered, Sustainable Innovation (LEAPS) Project is advancing the mission of the MIT NEWDIGS consortium through a new collaborative systems approach to the planning, generation, and use of evidence across R&D and healthcare delivery.

Job Requirements

REQUIRED: Bachelor’s Degree in Computer Science, Informatics or similar discipline (Master’s Degree in Health Care Analytics, Informatics, or similar discipline preferred); at least 2 years’ experience working with large healthcare data sets; Experience in programming (e.g. SAS, Python, R, SQL, Postgres) and working with big data; Experience in standardizing complex datasets; Data cleaning and transformation; Familiarity with basic statistical modelling; Good documentation skills; Attention to detail; Good communications skillsExperience working with healthcare claims data; Experience with cloud-based and server less application environments; Experience with Rheumatoid Arthritis or related diseases; Knowledge of the US Healthcare system preferred. Candidates must submit CV and cover letter via the MIT human resources website (Job# 17886).


FoCUS Drug Development Pipeline Researcher:  Student researcher (undergraduate/graduate/post-doc) to assist in the analysis of the potential of the products in the pipeline to reach the market. Under the guidance of experts in the Healthcare Economics field, the researcher will use a current data set to map and catalog products by indication, as well as do detailed research into the status of clinical trials for cell and gene therapies. The ideal candidates (two or three individuals) are interested in Healthcare/Biology/Economics/Pre-Med and are available to work 10-15 hours per week in the Fall Semester with possible extension into the Spring Semester, on this exciting academic research project using actual drug development pipeline data with more than 200 indications, medical background, and applied economics.

About FoCUS
The MIT NEWDIGS consortium FoCUS Project seeks to collaboratively address the need for new, innovative financing and reimbursement models for durable and potentially curable therapies that ensure patient access and sustainability for all stakeholders. Our mission is to deliver an understanding of financial challenges created by these therapies leading to system-wide, implementable precision financing models. This multi-stakeholder effort gathers developers, providers, regulators, patient advocacy groups, payers from all segments of the US healthcare system, and academics working in healthcare policy, financing, and reimbursement in this endeavor.

Please send CV and cover letter to Deborah Young at:

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.