RefinedScience

Healthcare

ClinicalDataManager

$84–130k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Clinical Data Manager at RefinedScience. Skills: Data abstraction, Clinical data, Quality control. Abstract data. Collaborate on documentation”

Industry & Context.

Healthcare
Problems you'll solve

Identify potential problems; Handle problems; Solutions-oriented

What They're Looking For.

Must Have

Bachelor's degree or higher, 2+ years data abstraction experience, Knowledge of basic medical terminology, Use of electronic medical records, Organized with great attention to detail, Commitment to accuracy, Willing to learn, Willing to ask questions, High levels of curiosity, High levels of initiative, High levels of self-motivation, Flexible to adapt, Manage time well, Able to prioritize, Team player, Collaborative, Work in an independent environment, Handle problems in a solutions-oriented manner, Commitment to regulatory compliance, Commitment to confidentiality

Nice to Have

Prior experience in healthcare, Prior experience in research setting, Oncology experience, Blood cancers experience, Experience with analysis of datasets, Biostatistics experience, SQL experience, Familiarity with REDCap, Familiarity with other EDC platforms, Familiarity with AI tools, Familiarity with Claude, Familiarity with Gemini

What You'll Do.

Collaborate on documentation

Maintain documentation

Identify and abstract pathology data

Identify and abstract treatment data

Identify and abstract clinical data

Maintain REDCap database

Identify problems affecting abstraction

Improve abstraction process

Perform quality review

Review data quality dashboards

Make corrections to data

Address data quality questions

Translate healthcare concepts

Translate clinical concepts

Coordinate with clinicians

Support automated abstraction

How You'll Work.

Team & Collaboration

Interdisciplinary team; Multidisciplinary team; Data scientists; Bioinformaticians; Clinical scientists

Full Job Description

Clinical Data Manager 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 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. 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

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