Clinical Innovation Scientist

AnewHealth is one of the nation’s leading pharmacy care management companies that specializes in caring for people with the most complex, chronic needs—wherever they call home. We enable better outcomes for patients and the healthcare organizations who support them. Established in 2023 through the combination of ExactCare and Tabula Rasa HealthCare, we provide a suite of solutions that includes comprehensive pharmacy services; full-service pharmacy benefit management; and specialized support services for Program of All-Inclusive Care for the Elderly. With over 1,400 team members, we care for more than 100,000 people across all 50 states.

Job Details

Executes and refines clinical logic to support scalable, evidence-based medication decision support. 

The Clinical Innovation Scientist serves as an applied clinical pharmacology expert supporting the development, maintenance, and enhancement of AnewHealth’s clinical decision support systems (CDSS). This role focuses on the execution and continuous refinement of clinical logic related to pharmacokinetics, pharmacogenomics, drug metabolism, drug transporters, and multi–drug interaction risk, ensuring scientific rigor and clinical relevance across product capabilities. 

Working collaboratively within the Clinical Innovation Team and alongside Product, Engineering, Data Science, and UX partners, the Clinical Innovation Scientist integrates scientific evidence and mechanistic insight into production-ready clinical logic. This individual translates clinical research and literature into scalable algorithms, matrices, and decision-support outputs that improve system efficiency, deepen mechanistic understanding, and support safe, effective medication use. 

The ideal candidate brings a strong working knowledge of clinical pharmacology, pharmacogenomics, and related pharmacokinetic principles, paired with the ability to apply that expertise in a highly collaborative, product-oriented environment. This role emphasizes applied execution, scientific integrity, and reliable delivery of clinically sound logic into operational systems. 

AnewHealth’s Innovation and Experience – Clinical Innovation Team is committed to developing proprietary, evidence-based solutions that optimize medication regimens, improve patient outcomes, reduce healthcare utilization, and manage clinical risk. This is an opportunity to contribute to a high-impact clinical pharmacology team focused on translating science into meaningful, scalable patient and business value. 

Team Purpose & Objectives

The Clinical Innovation Team is dedicated to advancing applied clinical pharmacy science through the development of scientifically rigorous, scalable, and clinically impactful solutions. The team serves as a bridge between clinical research, product development, and real-world implementation, ensuring that evidence-based insights are translated into tools that improve medication safety, patient outcomes, and healthcare efficiency. 

The primary objectives of the Clinical Innovation Team are to: 

• Advance the understanding and application of medications through pharmacokinetics, drug metabolism pathway mapping, pharmacogenomics, clinical algorithm development, and clinical decision support systems. 

• Develop tools and frameworks that enable pharmacists to perform comprehensive medication safety reviews and promote patient well-being through evidence-based clinical practices. 

• Improve operational efficiency and user experience by supporting the development and enhancement of applications, user interface tools, clinical displays, and matrices. 

• Explore and support new market opportunities for the application of clinical pharmacy science by facilitating the adaptation, validation, and scaling of innovative approaches. 

Responsibilities

• Execute, refine, and maintain clinical pharmacology- and pharmacogenomics-based decision logic supporting AnewHealth’s clinical decision support systems (CDSS).

• Conduct exhaustive clinical research and literature reviews to support CDSS updates, new features, and clinical algorithm development.

• Codify, automate, and translate research findings and scientific evidence into scalable, production-ready clinical logic for use in software applications.

• Interpret and integrate pharmacokinetic (PK) data, including pre-clinical and clinical studies, enzymatic assays, and in vitro/ex vivo drug metabolism studies, to support mechanistic accuracy.

• Assist with the integration of drug metabolism and transpo