New

Data Analyst II, Science & Technology Platform

Brigham and Women's Hospital
United States, Massachusetts, Boston
401 Park Drive (Show on map)
Sep 17, 2025
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. 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 tools (e.g., Git/GitHub) to manage code Ability to work independently and proactively drive projects forward with minimal direction Ability to assess project requirements, ask questions, and effectively navigate ambiguity Preferred Qualifications and Skills Familiarity with ETL/ELT processes and workflow automation Interest in health or scientific systems research Familiarity with genomic or laboratory data Statistical modeling including regression analysis Our Core Values: Respect for the Ariadne Labs mission, our community, each other, and ourselves Stewardship of our work and resources Pursuit of excellence, with a focus on continual improvement A belief in a collaborative, multidisciplinary approach to our work A commitment to meaningful diversity and inclusion in our work and in the Ariadne Labs community This is a hybrid position that has the following expectations for out-of-state employees: Quarterly Office Presence: You may be expected to work from the Boston office at least once per quarter. These visits provide an opportunity to engage in team activities, foster strong professional relationships, and stay aligned with ongoing projects and organizational goals. Occasional In-Person Participation: In addition to quarterly visits, there may be times when your presence in the office is requested for specific initiatives such as team workshops, cross-functional planning sessions, or collaborative meetings. Your participation in these activities ensures your analytical insights and contributions are effectively integrated into broader team efforts. Travel and Lodging: Please note that travel and lodging expenses associated with your trips to the Boston office will not be reimbursed. You will be responsible for arranging and covering the costs related to your travel and accommodations. If you're excited about this role but don't meet every qualification, we encourage you to apply anyway. Ariadne Labs welcomes diverse backgrounds, experiences, and perspectives, and we value candidates who bring new ideas and innovative thinking to our team. If local, in-office presence 2x a week is strongly encouraged. The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.