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Clinical Data Manager 2

Remote

Clinical Data Manager 2

Remote, USA

 

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.  

 

WHAT WE ARE LOOKING FOR

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.

 

KEY ACTIVITIES

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

 

MUST HAVES

  • 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

 

WHY YOU’LL LOVE REFINED SCIENCE 

Team + Values

At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights.  We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage.

 

Our Values

  • Act with Purpose – We believe in rigor through deliberate and thoughtful actions
  • Be Curious – Curiosity is the spark that ignites innovation and growth
  • Take Ownership – True ownership leads to pride and commitment in the work we do
  • Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success
  • Embrace Agility – We celebrate agile thinking, resilience, and adaptability

 

WHAT WE OFFER

  • The target salary range is $83,500 to $130,000 annually.
  • Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location.

 

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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