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About the Role
The Clinical Informaticist combines clinical expertise, healthcare informatics, and data science to support the development, implementation, and optimization of Wolters Kluwer Health solutions. This role applies knowledge of clinical workflows, healthcare data, and surveillance practices to ensure products deliver clinically meaningful insights that improve patient safety, medication stewardship, and operational outcomes. The Clinical Informaticist partners with healthcare organizations to understand clinical and operational workflows, translate customer requirements into effective surveillance strategies, and facilitate successful adoption of the Sentri7 Drug Diversion platform. Working closely with product, engineering, data science, and customer-facing teams, this role helps align technology solutions with real-world healthcare practice.
Responsibilities
- Engage with customers to understand continuous infusion workflows in outpatient, inpatient, and procedural settings.
- Review customer data to identify documentation or process gaps impacting application use.
- Enable system configurations, including mappings and parameter changes, to support customer workflows.
- Profile, map, and validate real-world healthcare data (medication, clinical, surveillance, terminology) for clinically accurate, complete, and interoperable product output.
- Support customer configuration, onboarding, and diversion/surveillance investigations, distinguishing product defects from data/configuration issues.
- Complete validation testing prior to customer validation.
- Provide ongoing support during implementation, including regular status updates and customer feedback solicitation.
- Analyze customer assessment notes in the UI to identify improvement areas.
- Collaborate with the customer support team to resolve post-live support tickets efficiently.
- Partner with Customer Success Managers to offer personalized support for customers needing additional assistance.
- Communicate progress and outcomes to customers and project managers.
- Offer constructive feedback and recommendations based on customer input.
- Ensure customers feel heard and valued through transparent communication.
- Build synthetic/de-identified datasets that preserve clinical integrity for demo, testing, and model development.
- Normalize and standardize clinical data using terminology/code systems to produce AI-ready datasets.
- Partner with data engineering on ETL pipelines and with product/clinical teams to translate findings into features and documentation.
Requirements
- Bachelor's, Master's, or doctoral degree in a clinical, informatics, or quantitative field (e.g., pharmacy, nursing, health/clinical informatics, data science).
- Equivalent real-world experience in clinical operations, healthcare data, clinical surveillance/decision support, or applied data science/AI.
- Relevant certifications, clinical licensure (e.g., PharmD, RN, RPh, CPhT), portfolio work, or a proven track record of shipping data/AI solutions in healthcare can substitute for formal degree requirements.
- Advanced degree in a clinical, informatics, or quantitative discipline, and/or equivalent depth of applied experience preferred.
- Clinical background (pharmacy, nursing, or health informatics) with a strong understanding of medication-use and clinical workflows.
- Proficiency in data science: Python and/or R, SQL, statistical modeling, and ML.
- Experience taking a model or analysis from data to validated results.
- Strong grasp of healthcare data standards and medication-identity references (RxNorm, NDC, SNOMED CT, ICD, LOINC, GPI, MME).
- Experience with clinical surveillance, medication safety, diversion monitoring, or clinical decision support software.
- Experience profiling and validating large, messy real-world clinical datasets (relational SQL; Oracle a plus).
- Familiarity with EMR (Epic/Meditech/Cerner) and ADC (Pyxis/Omnicell) data, HL7/FHIR, and interoperability.
- Rigorous, hypothesis-driven analytical approach.
- Ability to eliminate benign explanations and reach evidence-based, defensible conclusions.
- Responsible handling of PHI.
- Strong communication skills for both technical and clinical audiences.
- 4+ years of hands-on professional experience in data science, predictive modeling, or machine learning.
- Experience with acute care hospital data systems and care delivery workflows.
- Scripting/automation for data validation (PowerShell/Python).
- MLOps and model-monitoring familiarity is a plus.
Skills
- Clinical expertise
- Healthcare informatics
- Data science
- Clinical workflows
- Healthcare data
- Surveillance practices
- Sentri7 Drug Diversion platform
- Python
- R
- SQL
- Statistical modeling
- Machine learning
- RxNorm
- NDC
- SNOMED CT
- ICD
- LOINC
- GPI
- MME
- EMR (Epic/Meditech/Cerner)
- ADC (Pyxis/Omnicell)
- HL7/FHIR
- Interoperability
- PowerShell
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 4+ years of hands-on professional experience in data science, predictive modeling, or machine learning
Education Level
- Bachelor's degree
- Master's degree
- Doctoral degree
- Clinical licensure
- Relevant certifications
Salary/Compensations
- $85,600.00 - $149,400.00 USD
- Eligible for Bonus
Benefits
- Medical Plans
- Dental Plans
- Vision Plans
- 401(k)
- FSA/HSA
- Commuter Benefits
- Tuition Assistance Plan
- Vacation Time
- Sick Time
- Paid Parental Leave
About the Company
- Wolters Kluwer Health solutions
Equal Opportunity
- To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
- Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.