Senior Data Analyst, Clinical Evidence Strategy and Implementation

Senior Data Analyst, Clinical Evidence Strategy and Implementation

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.