Data Analyst II, Science & Technology Platform

Site: 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.

 

 

Job Summary

Ariadne Labs is a joint center for health systems innovation at Brigham and Women’s Hospital and the Harvard T. H. Chan School of Public Health. Our goal is to drive scalable solutions for better care at critical moments in people’s lives everywhere. Better care means better health outcomes, lower costs, and more actual caring. Critical means solving health systems failures that have major impact, typically touching people by the millions.

The Science and Technology Platform provides subject matter expertise in three scientific disciplines: Computer science, data science, and implementation and improvement science. The Platform collaborates with teams across the Lab to deliver technology solutions and ensure projects meet high standards for scientific rigor. Under the supervision of the platform manager, the data analyst will be responsible for leading a range of data-intensive activities across the Lab, including for a large, multi-site clinical research study. This includes developing and maintaining secure data systems, applying advanced programming skills to manage and clean complex datasets, and conducting analyses in collaboration with research teams.

Ideal candidates will have strong experience working with quantitative data and an interest in applying their skill set to help solve health systems problems. This is an excellent opportunity to apply and strengthen skills in data analysis, data engineering, quantitative methods, and health systems research with flexibility to grow as a technologist, data scientist, researcher, and designer. We are looking for individuals who embrace complex challenges and bring creativity and energy to solving them.

 

Qualifications

Principal Duties and Responsibilities

• Support the critical work of Ariadne Labs by leading a variety of data-intensive projects that span data collection, integration, cleaning, analysis, and visualization.

• Serve as the lead data analyst for a large, multi-site feasibility study spanning ~14 implementation sites, ~7 state 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.

• 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.

• Partner with cross-functional teams to scope requirements, design solutions, and support execution toward shared goals.

• Develop collegial relationships with collaborators, program leaders, and internal and external stakeholders.

Required Qualifications and Skills

• BA/BS in Statistics, Data Science, Economics, Computer Science, Public Health, or a related field.

• 3–5 years of experience managing and analysing complex health research datasets, preferably in multi-site clinical or public health studies.

• Strong critical thinking skills and exceptional attention to detail

• Expertise in an analytical programming language (R or Python), with the ability to independently design, optimise, and troubleshoot complex data workflows

• Strong grasp of descriptive and inferential statistics

• Strong communication and presentation skills and experience working collaboratively with cross-functional teams

• Expertise in REDCap, including project design, longitudinal data capture, data quality checks, and complex workflows

• Experience with data visualisation tools (Tableau, Looker, etc.)

• Experience using version control tool