Senior Real World Data Programmer, Consultant

ClinChoice

. Lead the development and execution of statistical analysis plans for large-scale real-world evidence studies .

Posted 11/4/2026contractRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in real-world data analytics, statistical analysis, and advanced programming to drive insights in healthcare. Proven ability to lead teams, manage complex projects, and develop innovative data solutions for stakeholders.

Highest-signal resume keywords

RWD AnalyticsSAS ProgrammingAdvanced SQLMachine Learning TechniquesData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

BiostatisticsEpidemiologyData ManagementStatistical MethodsData Integration TechniquesData WranglingAdvanced AnalyticsAutomated WorkflowsDashboard CreationReporting Standards

Soft Skills

MentoringCollaborationStrategic InsightsRelationship BuildingCommunication

Tools & Technologies

TableauPower BID3.jsPythonRMATLABHadoopSpark

Certifications & Qualifications

Advanced Degree in BiostatisticsAdvanced Degree in EpidemiologyAdvanced Degree in Data ScienceAdvanced Degree in Computer Science

Industry Keywords

HealthcareLife SciencesHealth Insurance Claims DataElectronic Medical RecordsObservational Research

Tech Stack

Tools & technologies

D3.jsHadoopJavaScriptPythonSparkSQLTableau

About the role

Key responsibilities & impact

Lead the development and execution of statistical analysis plans for large-scale real-world evidence studies
Work with cross-functional teams and senior stakeholders to design data-driven solutions for sponsors
Oversee and mentor junior analysts, reviewing work for accuracy, quality, and consistency
Guide the development and optimization of real-world data analytics workflows
Establish trusted relationships with client counterparts and provide strategic insights based on data findings
Develop new tools and automated workflows to improve real-world data analysis
Drive the use of advanced analytics and machine learning to derive actionable insights from large, complex datasets
Create data visualizations, dashboards, and reporting tools for technical and non-technical stakeholders
Improve data management, analysis methodologies, and reporting standards
Contribute to best practices and standard operating procedures
Collaborate with data scientists, epidemiologists, statisticians, and external stakeholders to integrate data from multiple sources and design innovative solutions

Requirements

What you’ll need

Minimum 4–5 years of experience in RWD analytics, biostatistics, epidemiology, or a related field
At least 3 years in a leadership or consultancy role
Proven experience managing complex observational research projects in life sciences or healthcare, particularly with large health databases such as claims data and EMR
Expertise in SAS programming
Advanced proficiency in SQL, R, Python, and other relevant programming languages such as MATLAB, Hadoop, and Spark
Experience with advanced data visualization tools such as Tableau, Power BI, or D3.js
Deep understanding of the US healthcare system, health insurance claims data, and electronic medical records
Experience applying advanced statistical methods and machine learning techniques to large healthcare datasets
Familiarity with database management, data wrangling, and data integration techniques
Advanced degree (Master’s or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field

Benefits

Comp & perks

Career development opportunities
Supportive culture
Continuous training and professional development
Close management and training
Equal opportunity and diversity-focused workplace