Director, Life Sciences Analytics – Solutions

Vizient, Inc

. Lead the design, development, and execution of complex analytical solutions using large-scale administrative claims, clinical, and other healthcare datasets .

Posted 11/4/2026full-timeCentennial • Colorado • United StatesLead💰 $117,600 - $206,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing complex analytical solutions using large-scale healthcare datasets, including SQL, Python, and Spark. Proven ability to translate business requirements into reusable analytical models and methodologies while ensuring data quality and compliance with healthcare standards.

Highest-signal resume keywords

Healthcare Data AnalyticsSQL DevelopmentPython ProgrammingSpark WorkflowsDatabricks Platform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical ModelingCohort MethodologiesPatient SegmentationRisk AdjustmentStatistical ModelingData TransformationLongitudinal AnalysisClaims ProcessingData Quality AssuranceAutomated Methodologies

Soft Skills

Analytical Problem-SolvingCommunication SkillsConsulting SkillsStakeholder EngagementMentoring

Tools & Technologies

DatabricksSQLPythonSpark

Industry Keywords

Healthcare DatasetsAdministrative ClaimsClinical DataPatient PopulationsUtilization PatternsData LineageAnalytical Standards

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Lead the design, development, and execution of complex analytical solutions using large-scale administrative claims, clinical, and other healthcare datasets
Develop longitudinal patient journey analyses, disease and treatment progression models, patient and provider segmentation methodologies, cohort identification frameworks, patient attribution, risk adjustment, and statistical models
Translate complex business and client requirements into validated, reusable datasets, analytical models, and methodologies for research, consulting engagements, dashboards, applications, and client-facing products
Lead the transformation and optimization of large healthcare datasets using Databricks and related platforms
Design and optimize SQL, Python, and Spark workflows for claims processing, longitudinal research, advanced analytics, and standardized datasets
Establish standards for analytical documentation, data lineage, table grain, join keys, data quality, testing, validation, version control, refresh cadence, reproducibility, and appropriate-use limitations
Transform consulting engagements into repeatable methodologies, standardized workflows, automated recurring deliveries, and reusable analytical assets
Partner with consulting, product, engineering, data science, and technology teams to integrate data sources and operationalize analytical prototypes
Serve as a technical and healthcare data subject matter expert on claims structures, coding systems, patient populations, utilization patterns, longitudinal analyses, data-use limitations, and analytical findings
Lead concurrent technical workstreams through feasibility, solution design, development, validation, and delivery; communicate risks and dependencies, engage stakeholders, mentor colleagues, and influence analytical standards

Requirements

What you’ll need

Relevant bachelor’s degree preferred
Advanced degree in analytics, statistics, data science, epidemiology, health economics, computer science, healthcare informatics, or a related field is a plus
7 or more years of related experience working with large-scale healthcare data, including administrative claims, clinical, or other longitudinal healthcare datasets required
Advanced experience developing healthcare analytics using SQL and Python, with experience using Spark and Databricks or comparable large-scale data processing platforms required
Experience developing longitudinal patient analyses, cohort methodologies, patient or provider segmentation, attribution methodologies, risk adjustment, statistical modeling, or similar advanced healthcare analytics required
Strong understanding of healthcare claims structures, coding systems, patient populations, utilization patterns, and the strengths and limitations of healthcare data required
Experience transforming complex or fragmented datasets into standardized, reusable analytical models and assets required
Experience converting custom analytical work into repeatable, automated, and scalable methodologies or solutions preferred
Experience partnering across consulting, product, engineering, data science, technology, or similar cross-functional teams preferred
Strong analytical problem-solving skills with the ability to navigate incomplete data, ambiguous requirements, methodological limitations, and complex business questions independently
Strong communication and consulting skills, including the ability to explain sophisticated analytical work

Benefits

Comp & perks

Comprehensive benefits plan
Incentive eligible