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Senior Data Analyst, Clinical Evidence Strategy and Implementation

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 USD Yearly USD 80000.00 YEAR
Job Description & How to Apply Below
Senior Data Analyst, Clinical Evidence Strategy and Implementation

Job #: 6312
Pay Rate:  $/hour
Job type:

Location:

Miami, FL

Description/Comment:

  • The Senior Data Analyst, Clinical Evidence Strategy and Implementation will have the opportunity to:
  • Analyze hundreds of thousands of heterogeneous medical records including lab results, medical history, instrument measurements, hospital procedures, etc.
  • Interpret complex real-world clinical data.
  • Clearly communicate findings with statistics and data visualization to drive evidence-based decisions.
  • Evaluate data errors, trends, and collection issues; present findings/recommendations to clinical teams and management for resolution.
  • Serve as a liaison between key stakeholders from Data Science, Medical and Scientific Affairs, and Marketing teams to ensure data quality processes are implemented and followed.
  • Work with stakeholders to understand data requirements for Client projects and support with building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS, and Azure.
  • Support data management for clinical studies, such as data management plan, eCRF design, non-product software validation and adjudication strategy.
  • Identify, design, document and implement continuous process improvements such as interpretation and strategy of clinical data issues.
  • Utilize clinical expertise to advise on specific targets for predictive models with endless possibilities to explore.
  • Be involved with the full cycle of problem definition, data acquisition, organization, and data exploration and outcome phenotyping for Clinical Decision Support (CDS) Solutions.
  • The essential requirements of the job include:

  • Bachelors degree (Master's preferred) in clinical data science, data analytics, statistics, life sciences or related fields with 5+ years of experience.
  • 3+ years of experience with Electronic Medical Record data (Epic, Cerner, etc.).
  • Require experience with Python for data analysis and visualization.
  • Knowledge of statistical computing, machine learning, and data visualization tools.
  • Experience with shared data science development and analytics environments.
  • Experienced with real-world clinical data management documentation to support regulatory submissions.
  • Ability to effectively summarize results from analysis to a diverse set of audiences with varying backgrounds and technical skills.
  • Excellent problem-solving and critical thinking skills.
  • Ability to manage competing priorities in a fast-paced environment.
  • Strict attention to detail.
  • Must be able to work in a team environment, including cross-departmental teams and key contact representing the organization on projects.
  • Ability to interact with senior internal and external personnel on significant matters often requiring coordination between organizations.
  • Willingness to travel occasionally as needed (up to 10%) required.
  • It would be a plus if you also possess previous experience in:

  • Experience in the fields of clinical informatics to improve health outcomes.
  • Understanding QMS processes for medical devices.
  • Previous work experience in a clinical setting (hospital preferred).
  • Knowledge of sepsis and host immune response disease states.
  • #J-18808-Ljbffr
    Position Requirements
    10+ Years work experience
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