Clinical Data Manager 2

RefinedScienceAurora, CO
1dRemote

About The Position

At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. RefinedScience is seeking an experienced Clinical Data Manager 2 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.

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
  • Willing to learn and ask questions
  • Possess high levels of curiosity, initiative, and self-motivation
  • Flexible to adapt in a rapidly growing startup environment
  • Manage time well and be able to prioritize
  • Team player who is collaborative and can work in an independent environment
  • Handle problems in a solutions-oriented manner
  • Commitment to ensuring regulatory compliance and confidentiality

Nice To Haves

  • Prior experience in a healthcare or research setting with oncology or blood cancers
  • Prior experience with analysis of datasets, biostatistics, or SQL
  • Familiarity with research data capture systems (e.g., REDCap or other EDC platforms).
  • Familiarity with AI tools such as Claude and Gemini

Responsibilities

  • Data abstraction
  • Collaborate in the development and maintenance of documentation of data definitions and abstraction procedures
  • Efficiently identify and abstract pathology, treatment and other clinical data from medical records that is thorough and accurate
  • Maintain REDCap database for disease area(s)
  • Quality control
  • Think critically to identify potential problems affecting the abstraction process for improvement and quality control
  • Perform quality review 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
  • Translation of healthcare and clinical concepts for data engineering work
  • Coordination with clinicians for clarification on abstraction procedures and clinical concepts
  • Support the multidisciplinary team in automated abstraction activities

Benefits

  • Medical, Dental and Vision insurance
  • Life, AD&D, Short-term and Long-term Disability Insurance (none is100% covered)
  • HSA Spending Accounts
  • 22 Vacation days
  • 10 Paid Holidays and Sick Time (120 hours per year)
  • 401(K) Plan
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