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Director, Research Medical Coding

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Genesis ResearchStorden, MN
Full-time
  • Genesis Research is an international healthcare consultancy providing value evidence strategy, generation, synthesis, and communication services to Life Sciences companies.
  • Delivering these services empowered by technology innovations has enabled us to become a trusted partner with our clients across the development and commercialization life cycle.
  • By combining both traditional and novel analytical approaches with diverse real-world data – including genomic, medical record, claims and patient-reported information – we are able to inform our clients’ internal decision making as well as submissions and presentations to regulators; health technology assessment authorities and payers; the medical community; and patient organizations.
  • The Director, Research Medical Coding will serve as the central resource for the development and verification of code lists to identify specific patient populations, treatments, and outcomes in real-world data sources.
  • The Director, Research Medical Coding will be embedded in a matrixed work environment and contribute to real-world evidence projects across therapeutic areas, data sources, and clients by providing subject matter expertise in medical coding.
  • They will also establish and maintain a searchable repository for code lists/algorithms to streamline the assessment and application of code lists/algorithms for key variables across research projects.
  • Remote will be considered.
  • Lead and grow a research medical coding team to support inhouse and client needs
  • Provide scientific and clinically meaningful insights to support research that leverages real-world data (e.g., administrative claims databases and EMR/EHR databases) across therapeutic areas
  • Provide subject matter expertise in using medical codes (e.g., ICD, ATC) to identify specific patient populations, treatments, and outcomes in analyses using real-world data
  • Build and maintain a searchable inhouse repository for code lists and algorithms to streamline code list development and algorithm selection/application across research projects
  • Design code lists for key study variables that appropriately account for clinical care settings, medical billing practices, and real-world dataset structures and contents
  • Collaborate with multidisciplinary teams to identify and evaluate the validity of algorithms used to identify specific study variables
  • Stay current on industry standards, including changes to key coding systems (e.g., deleted ICD-10 codes)
  • Review reputable scientific and clinical literature to knowledgeably advise on the study from a medical coding perspective
  • Develop and present training materials and programming for staff on the appropriate use of coding systems for research to enhance our team’s capabilities
  • Serve as a subject matter expert for internal teams, providing review and input into existing code lists
  • Perform quality control checks on prepared medical code lists
  • Review project materials and publications to ensure description of applied medical coding is accurate
  • Undergraduate degree in clinical area (e.g., nursing, pharmacy) with 7+ years of experience in health care delivery, academic, pharmaceutical, health insurance, or life sciences consulting experience.
  • Graduate degree in nursing, pharmacy, health information management, or public health with 3+ years (Doctoral degree) or 5+ years of experience (Masters degree) preferred
  • Current certification in Medical Coding (e.g., Certified Professional Coder [CPC] from the American Academy of Professional Coders [AAPC])
  • Working knowledge of anatomy, physiology, and medical terminology
  • Experience supporting healthcare analytics using real-world data sources such as administrative claims databases and EMR/EHR databases (e.g., Merative MarketScan, Optum Clinformatics Data Mart, IQVIA PharMetrics Plus, TriNetX)
  • Knowledge of medical coding systems, such as ICD-9/10 diagnosis and procedure codes, CPT, HCPCS, ICD-O-3, SNOMED, LOINC, NDC, ATC, and MedDRA codes.
  • Knowledge of online medical code repositories like OHDSI or equivalent tools also preferred
  • Proficient in Microsoft Office Suite (i.e., MS PowerPoint, MS Word, Excel, and Access).
  • Knowledge of SQL or related programming languages is also preferred
  • Strong attention to detail and exceptional interpersonal skills, including excellent oral and written communication skills
  • Demonstrated ability to be proactive and work independently and as a team player
  • Ability to collaborate with multidisciplinary teams, including epidemiologists, data scientists, biostatisticians, health services researchers, clinicians, and health economists
  • Adaptability and flexibility to changing priorities and ability to successfully lead, manage, and prioritize multiple opportunities of varying complexity in a fast-paced, entrepreneurial workplace
  • Sense of ownership in your work
  • Enthusiasm to learn and motivation to develop oneself and others within Genesis
  • Company-matched 401(k) plan
  • Genesis Research is an equal opportunity employer.

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