Mass General Brigham is looking to solve health systems problems, particularly around the integration and use of genomics in healthcare, by hiring a data analyst to lead data analysis and coordination activities for a multi-state public health research project evaluating the integration of genomic sequencing into newborn screening programs.
Requirements
- Expertise in REDCap, including project design, longitudinal data capture, data quality checks, and complex workflows
- Expertise in an analytical programming language (R or Python), with the ability to independently design, optimize, and troubleshoot complex data workflows
- Strong grasp of descriptive and inferential statistics
- Experience with data visualization tools (Tableau, Looker, etc.)
- Experience using version control tools (e.g., Git/GitHub) to manage code
- Familiarity with ETL/ELT processes and workflow automation
- Statistical modeling including regression analysis
Responsibilities
- Serve as the lead data analyst for a large, NIH-funded, multi-site feasibility study examining implementation of genomic newborn screening within existing state public health programs, spanning ~14 implementation sites, ~7 public health laboratories, and up to 30,000 newborns.
- Design, build, and maintain secure and scalable REDCap databases and data systems to manage complex, multi-source data streams.
- Coordinate with study partners and remote teams to design, implement, and maintain robust data systems that support the setup and ongoing operations of the study.
- Ensure data completeness, consistency, and integrity across multiple sites by developing and automating data quality checks and monitoring reports.
- Apply advanced programming techniques to clean and transform raw data into usable formats for analysis and reporting.
- Develop dashboards, reports, and visualisations to communicate findings to technical and non-technical stakeholders.
- Conduct exploratory and statistical analyses to identify trends, patterns, and correlations.
Other
- BA/BS required - preferably in Statistics, Data Science, Economics, Computer Science, Public Health, or a related field.
- 3–5 years of experience managing and analyzing complex health research datasets, preferably in multi-site clinical or public health studies.
- Strong critical thinking skills and exceptional attention to detail
- Strong communication and presentation skills and experience working collaboratively with cross-functional teams
- Ability to work independently and proactively drive projects forward with minimal direction
