Rhythm Pharmaceuticals Verified
Biotechnology, Pharmaceuticals, Rare Diseases
Federated Registry Data Scientist
RemoteHybridFull TimePosted 1 month agoHidden Gem · Himalayas
Required skills
- OMOP CDM
- Python
- FHIR
- SNOMED CT
- ETL
- data mapping
- federated analyses
- real-world evidence
- clinical registries
- EHR
Nice to have
- Life Sciences
- Data Science
- Information Systems
- healthcare data
- statistical methods
Role summary
Rhythm is seeking a Federated Registry Data Scientist to design, develop, and operate a multi-country federated registry platform using OMOP CDM. This role involves close collaboration with vendors and participating registries, overseeing data collection, transformation, quality checks, and federated analyses. The Data Scientist will lead the preparation of statistical analysis plans, cohort definitions, and federated query specifications, assess research proposal feasibility, and ensure analytical outputs align with scientific objectives. Strong proficiency in R/Python, experience with healthcare data standards (OMOP CDM, FHIR, SNOMED CT), and real-world evidence methodologies are essential. The position requires excellent communication and collaboration skills to work with internal and external stakeholders.
Company OverviewRhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together.Opportunity OverviewThe Federated Registry Data scientist will contribute to the design, development and operation of a multi-country federated registry platform based on the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), in collaboration with specialized vendors for Extract-Transform-Load (ETL), hosting, and federated analyses. The role will serve as a primary point of contact between Rhythm, the selected vendors, and participating registries for data-related activities. The Data Scientist will oversee the local registry data collection (mapping, transformation, quality-check) and the federated analyses specifications and outputs within a federated OMOP CDM-based environment provided and maintained by the vendors.Responsibilities & Duties
- Federated analyses
- Oversee and supervise the vendor’s technical and analytical deliverables
- Oversee data collection, data quality check, ETL logic and data mapping to OMOP CDM
- Lead preparation and review of the statistical analysis plan, cohort definitions, variable definitions, and federated query specifications supported and executed by the vendors based on research questions proposed by the Scientific Committee, the participating centers or internally
- Perform external research proposals’ feasibility assessment before review by the Scientific Committee
- Ensure analytical outputs are clear and consistent with research questions, develop report for review by the scientific committee, and support the drafting of related publications
- Collaboration with vendors
- Collaborate with the vendor on source data review, OMOP mapping, ETL logic, and data quality checks, helping to identify, prioritize, and resolve quality issues
- Help with data-related questions raised by the vendor and coordinate timely responses from centers when local input is required
- Ensure that data-related discussions remain aligned with Rhythm’s scientific objectives, project scope, timelines, and budget
- Collaboration with sites/registries owners
- Support sites in understanding project data requirements, minimum datasets, expected formats, timelines, and quality control processes
- Coordinate with sites and the vendor to investigate data quality issues such as missing data, inconsistent values, duplicate records, etc.
- Collaborate with research teams (scientific committees, internal stakeholders, participating sites) to develop insights and drive evidence generation
- Perform any other relevant tasks as needed to support the team and company objectives.
- Advanced degree in Life Sciences, Data Science, Information Systems, or an equivalent scientific or technical discipline
- Strong experience with healthcare data sources, including clinical registries, electronic health records, claims databases, healthcare databases, and real-world evidence projects
- Strong proficiency in R and/or Python
- Knowledge of healthcare standards, including OMOP CDM, Fast Health Interoperability Resources (FHIR), Systemized Nomenclature of Medicine Clinical Terms (SNOMED CT), etc.
- Knowledge of statistical methods in real-world evidence (RWE)
- Strong communication and interpersonal skills, capable of engaging with senior leadership and key stakeholders.
- Not accepting the status quo, working with a sense of urgency to deliver results
- Self-starter mentality who feels comfortable working in a fast-paced environment
- Cross-functional mindset focused on a seamless collaboration with internal and external partners
- Fluent in English
Originally posted on Himalayas
