Clinical Data Manager

Clinical Data Manager

About

RefinedScience's mission is to advance care by bringing together the best science, data, and minds to discover pathways to life beyond disease. We are seeking an experienced Clinical Data Manager 2 or Senior with medical care experience to join an interdisciplinary team of computational biologists, data scientists, data engineers, cancer biologists, and clinicians who are seeking to develop new therapies for cancer and other diseases. Must have medical data abstraction or chart review experience.

Responsibilities

Data Abstraction

• Collaborate in the development and maintenance of documentation for data definitions and abstraction procedures.
• Efficiently identify and abstract pathology, treatment, and other clinical data from medical records with thoroughness and accuracy.
• Maintain the REDCap database for specified disease area(s).

Quality Control

• Critically identify potential problems affecting the abstraction process for improvement and quality control.
• Perform quality reviews on work completed by other data abstractors.
• Review data quality dashboards and make corrections.
• Address data quality questions from a multidisciplinary team of data scientists, bioinformaticians, and clinical scientists.
• Manage process documentation.

Multidisciplinary Teamwork

• Translate healthcare and clinical concepts for data engineering work.
• Coordinate with clinicians for clarification on abstraction procedures and clinical concepts.
• Support the multidisciplinary team in automated abstraction activities.

Requirements

• Bachelor’s degree or higher in a relevant field.
• 2+ years of data abstraction experience, including knowledge of basic medical terminology and the use of electronic medical records.
• Organized with great attention to detail and a commitment to accuracy.
• Willingness to learn and ask questions.
• High levels of curiosity, initiative, and self-motivation.
• Flexibility to adapt in a rapidly growing startup environment.
• Ability to manage time well and prioritize.
• Team player who is collaborative and can work independently.
• Ability to handle problems in a solutions-oriented manner.
• Commitment to ensuring regulatory compliance and confidentiality.
• Prior experience in a healthcare or research setting with oncology or blood cancers is a plus.
• Prior experience with dataset analysis, biostatistics, or SQL is a plus.
• Familiarity with research data capture systems (e.g., REDCap or other EDC platforms) is a plus.
• Familiarity with AI tools such as Claude and Gemini is a plus.