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The Oncology Clinical Data Quality Lead supports the department by providing clinical quality oversight on chart abstraction for numerous studies in collaboration with the pharmaceutical industry. This person is responsible for providing electronic medical record review, chart abstraction and quality control processes/review. In addition, this position will be proactive in reviewing the chart abstraction activities including the data collection requirements process.
Key Responsibilities
Provide guidance and answer questions from the chart abstractors
Ensure EHR data is clinically relevant in the abstraction tool (Open Clinical)
Understand and review SAP/Protocol with Research Scientist and provide insight into chart abstraction/clinical variables as needed
Test and review electronic case report form with Clinical Database Specialist to ensure consistency
Quality review and assurance of chart abstraction data integrity
Review and respond to Quality Control queries to ensure data is accurate
Actively perform and help coordinate chart abstraction activities throughout the study cycle i.e. education for vendor
Provides insight and suggestions to improve the data quality control and abstraction process
Define complexity/variables of chart abstraction during proposal phase for pricing
Define and execute towards chart abstraction completion dates
Be accountable for the deliverable due dates
Understand the financial impacts of timeline delays
Develop strong relationships with Physician Investigators, Research Scientists, Biostatisticians, Clinical Database Specialists
Training and/or onboarding of chart abstractors on data abstraction for studies
Minimum Requirement
Degree or equivalent and typically requires 4+ years of relevant experience.
Education/Training
RN license/BSN preferred
Must have 4-year degree in Healthcare, Life Science, or Nursing
Critical Skills
4+ years of experience in the community oncology setting with several years of chart abstraction experience
Must have several years of experience working in a community/clinical oncology setting alongside physicians and oncologists with the ability to communicate complex patient chart information (i.e. disease and/or tumor progression)
In-depth understanding, competency, and knowledge of oncology diseases and processes and clinical research
Detail oriented and possesses technical expertise (e.g. Open Clinical, EHR data, EPIC, Cerner etc.)
Ability to interact with, and present to, senior level researchers, physicians, external clients, and interna;/external leadership team members and share expertise and knowledge
Superb interpersonal skills and collaborative management style. Excellent people and project management skills
Additional Skills
Strong understanding of clinical oncology and EHR/patient records
Clinical trial experience or data capture a plus
Working Conditions
Environments (Home Office)
Remote
Physical Requirements
General Office Demands
Could require minimal travel (up to 10%)
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$86,300 - $143,800
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
