Sr. RWE Solutions Scientist

About Heart Rhythm Clinical Research Solutions

We bring science, data, and collaboration together in a single, full-service CRO model powered by real-world evidence (RWE).

By combining deep cardiovascular expertise, an engaged and diverse network of physicians, and close client partnerships, we transform data into evidence that fuels innovation and leads to better care.

Our growing network of experts and institutions powers every project we deliver — enabling collaboration,

scalability, and measurable results.

270+

Cardiovascular Specialists

100+

Signed Data Sharing Agreements

3+

New Sites per Month

4

Countries represented

About the role

Tomorrow’s medical breakthroughs are proven in the clinical research we run today. At 3PH, we are rewriting the rules of clinical research. We are seeking a mission-driven, execution-focused Senior RWE Solutions Scientist for our ROVER (Retrospective, Observational Vigilance, Evidence and Reporting) team. This is an individual contributor role tasked with developing and optimizing our RWD/HEOR pipelines and delivering high-quality, tailored RWE deliverables with speed and accuracy. The ROVER team uses hyperscale healthcare datasets to generate compelling evidence, such as post-market safety, clinical evidence reports (CERs), comparative effectiveness studies, competitor intelligence, and ongoing vigilance.

You will serve as a key member of the team with the ability to flex your creativity and innovative skills to build technology, create analytic deliverables, and partner cross-functionally with other internal teams such as Clinical, Scientific Affairs, and our 3PH Cloud teams. This is a high-impact role with direct contribution to the company’s mission to shape the future of cardiology care for our patients

What you'll do

RWE & HEOR Pipeline Development

• Design, build, and maintain robust ETL pipelines for real-world healthcare data (EMR, claims, registries, etc.).
• Develop data models and schemas optimized for RWE analytics with detailed documentation.
• Translate project requirements into technical needs, evaluating/modifying current pipelines, algorithms, need for custom data fields as necessary.
• Ensure data quality, integrity, and compliance with HIPAA and other regulatory standards.
• Follow data governance and security best practices

Data Science & Machine Learning

• Algorithm development in alignment with organizational needs (e.g., device mapping, phenotyping, etc.).
• Contribute to the Identification of opportunities for new processes, technical products and drive the development of green-lit projects

Cross-Functional Collaboration

Partner closely with:

• Our informaticist to ensure data pipelines deliver high-quality analysis ready datasets that meet study design and methodological requirements.
• 3PH Cloud team to collaborate on common data models for real-world evidence and our internal cloud platform to ensure standardization of concepts and data mapping.
• Internal regulatory, compliance, and clinical affairs to ensure robust methodology, traceability, audit readiness, and defensibility of results.

Process & Infrastructure Development

• Audit-ready detailed documentation of ETL, HEOR pipelines, and other data engineering or data science processes.
• Provide expert opinion and/or assist during the requirements gathering for future RWD datasets, RWE software platforms, or organizational technology stack

Qualifications

Minimum Qualifications

• 5+ years in engineering and maintaining data pipelines involving healthcare real-world datasets (claims, EMR, etc.)
• Experience in clinical research, health economics and outcomes research (HEOR), or real-world data (RWD) environments—ideally including time at a CRO, or medical device company
• Proficiency in Python, SQL, and data pipeline tools
• Familiarity with issues of data quality, bias, and regulatory defensibility using RWD
• Familiarity with clinical coding systems (ICD, CPT, SNOMED, RxNorm, etc.)
• Experience partnering with cross-functional teams with competing priorities
• Exceptional written and verbal communication skills with a proven ability to communicate complex material to audiences of varying technical backgrounds
• Comfortable operating in ambiguity, setting priorities, and driving execution in a startup/growth-stage environment

Preferred Qualifications

• Advanced degree in data science, engineering, informatics, epidemiology, or related field with strong emphasis on quantitative methods (e.g., MPH, MS, PhD).
• Experience with cloud platforms and data lakes (Azure/AWS/GCP)
• Proficiency in machine learning frameworks, computable phenotypes
• Familiarity with OMOP common data model, HL7 FHIR
• Working knowledge of post-market evidence needs in the medtech industry, including MDR/Vigilance, FDA RWE guidance, and/or EU CER deliverables.

LOCATION AND TRAVEL REQUIREMENTS: This is a fully remote position and may be performed anywhere within the United States of America. Occasional domestic travel may be required for company meetings, audits, etc.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.