Clinical Informaticist

Mass Digital Health; Waltham (MA); On-site; USD 86,000 - 149,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Plans

401(k)

FSA/HSA

Commuter Benefits

Tuition Assistance Plan

Vacation and Sick Time

Paid Parental Leave

Job summary

Wolters Kluwer Health seeks a Clinical Informaticist to blend clinical insight with informatics and data science to optimize Sentri7 Drug Diversion solutions. You will translate customer requirements into surveillance strategies, support adoption, and ensure clinically meaningful outputs across patient safety and operational outcomes.

Collaborate with product, engineering, and customer teams, validate data, and deliver high-touch support during implementation, with up to 10% travel.

Qualifications

• Degree in clinical, informatics, or quantitative field; real-world healthcare data experience acceptable
• Experience in clinical surveillance, medication safety, or AI solutions in healthcare
• Proven ability to translate customer needs into data-driven surveillance or CDS features
• 4+ years in data science, predictive modeling, or ML
• Familiarity with EMR data (Epic/Meditech/Cerner) and ADC data
• Strong communication for technical and clinical audiences

Responsibilities

• Engage customers to understand infusion workflows across settings
• Review data to identify documentation or process gaps impacting application use
• Configure system mappings and parameters to support workflows
• Profile and validate real-world clinical datasets for accuracy and interoperability
• Differentiate product defects from data/configuration issues and validate behavior
• Lead validation testing prior to customer validation
• Provide ongoing post-live support and collect customer feedback
• Collaborate with CSIs and other teams to address customer needs and document results
• Travel up to 10% as required

Skills

Python

R

SQL

Data science

ML

Education

Clinical informatics degree

Advanced degree preferred

Tools

FHIR

HL7

Oracle

PowerShell

Job description

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:

• Customer engagement to understand continuous infusion workflows in the outpatient, inpatient, and procedural setting.
• Review of customer data to identify any gaps in documentation or in process that would ultimately impact the successful use of the application.
• Enable system configurations, including mappings and parameter changes, that support customer workflows.
• Profile, map, and validate real-world healthcare data (medication, clinical, surveillance, terminology), so product output is clinically accurate, complete, and interoperable.
• Support customer configuration, onboarding, and diversion/surveillance investigations; distinguish product defects from data/configuration issues, always validating deployed behavior against production ground truth.
• Complete validation testing prior to customer validation.
• Provide ongoing support during the implementation process by providing regular status updates and soliciting customer feedback.
• Analyze customer assessment notes in the UI to identify any gaps or areas needing improvement.
• Collaborate with the customer support team to provide post-live customer support to understand ongoing issues to efficiently and effectively resolve support tickets.
• Partner with Customer Success Manager (CSM) to offer personalized, high-touch support to customers requiring additional assistance to promptly and effectively address specific needs and concerns.
• Communicate progress and outcomes to customers and project managers regularly.
• 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 (age-, sex-, route-, dose-appropriate) for demo, testing, and model development — without exposing real PHI.
• Normalize and standardize clinical data using terminology/code systems (RxNorm, NDC, SNOMED CT, ICD, LOINC, GPI) to produce AI-ready datasets.
• Partner with data engineering on ETL pipelines (e.g., multi-tenant Oracle, contract/point-in-time model, master processing, reporting) and with product/clinical teams to translate findings into features and clinician-facing documentation.
• Communicate results to clinical and non-technical stakeholders through clear analyses, validation reports, dataflow/ERD documentation, and plain-language release notes.
• Travel up to 10% may be required

Qualifications:

• Bachelor's, Master's, or doctoral degree in a clinical, informatics, or quantitative field — e.g., pharmacy (PharmD/RPh), nursing (RN/BSN/MSN), medicine, health/clinical informatics, data science, or a related discipline;
• Equivalent real-world experience — demonstrated, hands-on work in clinical operations, healthcare data, clinical surveillance/decision support, or applied data science/AI that provides equivalent knowledge and capability, in lieu of a specific degree.
• 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 (PharmD, RN, RPh, MD, or equivalent) — with a strong understanding of medication-use and clinical workflows.
• Data science proficiency: 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 and strong communication 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.

#LI-Hybrid

Compensation:

$85,600.00 - $149,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to:

• Medical, Dental, & Vision Plans
• 401(k)
• FSA/HSA
• Commuter Benefits
• Tuition Assistance Plan
• Vacation and Sick Time
• Paid Parental Leave

Full details of our benefits are available upon request.