Data Innovation Research Data Analyst Stata

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The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

The Data Innovation team is looking for a (per diem) Research Data Analyst who has strong Stata skills and familiarity with full stack programming skills (ie: C#, .NET, ASP.NET Core, and MySQL). They will assist team members, trainees, and faculty with projects with analytic, programming, and computational needs. This research, clinical, and analytic work is done autonomously and with supervision of the Principal Investigator for ongoing data-driven projects.

This individual works as part of a dynamic group dedicated to faculty, clinical, and academic work, in a team where professionalism, intelligence, adaptability, and collegiality are prized. Current electronic programs span data collection, presentation, processing, reports, and database expansion. This work also includes web-based, secure interfaces, as well as interfacing with electronic health records. Beyond these primary roles, this position also includes interfacing with other team members to support ongoing clinical, epidemiological, and academic research projects.

• Provide direct assistance with writing code and assessing results for analytic, programming, computational, and clinical data needs, including data curation, vetting, and assessments
• Performs programming, computations, statistical analysis; prepares drafts of work for review; applies feedback received to create final analyses and/or reports
• Meets with the PI and team to about analytic and programming plans, activities, and results to support the applicability of efforts, learning opportunities, and professional development
• Administrative tasks as required for data collection, related documentation, orientation materials, and record-keeping
• Literature searches and citation management
• May present at team and related meetings

Education Bachelor's degree required. Master's Degree a plus - in Statistics, Quantitative Science, Epidemiology, and/or Computer Science Experience Experience as attained through education 0-1 year required

• Prior training to include programming skills in Stata, including data appends, merges, curation, and analytics
• Participates in ensuring the functionality, performance, and compliance of digital solutions, including appropriate security
• Facility and reliability in timely programming of data collection mechanisms
• Facility with curation and analysis of databases which can interface with electronic health systems and secure web-based interfaces
• Supports complex data capture, including some system administration
• Develops and maintains SOPs for data collection, management, and reporting
• An ideal candidate will have knowledge of APIs and web-based programming
• Ability to perform system administrator functions, e.g. version or software updates to .NET and similar programs
• Programming to maintain network resiliency, ensure data integrity, and/or optimize based on user feedback
• Detailed written documentation of work
• Dependable contribution to the productive, kaizen, and good-hearted culture of the established team
• Programs with sufficient skill to support independent project work
• experience with Full Stack Programming (e.g. React, Python, C# .NET) is a plus.
• All other duties as assigned

• Works in an organized manner with the ability to follow and retain processes and procedures
• Works to complete work in a timely manner
• Strong computer skills, including accurate data curation, management, coding, and analysis
• Understanding of mathematical modeling, including dynamical systems, statistical analysis, and computational method
• Work collaboratively as part of a team and with supervision from team members.
• Work productively with scientists and clinicians at all levels.
• Can identify roadblocks occurring within areas of responsibility and refer them to the appropriate party(s) for assistance.
• Timely communication of work status

Remote Type Hybrid Work Location

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