Senior Real World Data Programmer Consultant

Socket.dev

United States

On-site

USD 120,000 - 190,000

Part time

14 days+

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Job summary

ClinChoice is seeking a Senior Real World Data Analytics Consultant to lead analytical efforts across diverse therapeutic areas for a high-profile sponsor. This role focuses on RWD, biostatistics, and advanced analytics in a consultancy capacity.

You will partner with data scientists, epidemiologists, and statisticians to design studies, develop workflows, and deliver actionable insights that inform sponsor decisions across real-world data sources.

Qualifications

  • Minimum 4–5 years in RWD analytics or related field with leadership/consultancy experience.
  • Proven ability to manage complex observational studies with large health databases.
  • Experience with data visualization and data integration across sources.

Responsibilities

  • Lead development and execution of SAPs for large-scale RWE studies.
  • Collaborate with cross-functional teams and senior stakeholders.
  • Mentor junior analysts and ensure quality control.
  • Advance RWD analytics workflows and best practices.
  • Build data visualizations, dashboards, and reporting tools.
  • Communicate findings to both technical and non-technical audiences.

Skills

SAS programming
SQL
R
Python
MATLAB
Hadoop
Spark
Tableau
Power BI
D3.js

Education

Master’s or PhD in Biostatistics, Epidemiology, Data Science, CS or related field

Tools

AWS
Azure
Google Cloud

Job description

Position Overview

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Real World Data Programmer Consultant to join one of our clients. ClinChoice is a leading global CRO, dedicated to supporting clinical trials and real-world evidence research with a focus on exceptional quality, career development, and a supportive culture. As we expand our presence and offerings, we’re looking for an experienced Senior Real World Data Analytics Consultant to join our dynamic team and lead analytical efforts across diverse therapeutic areas for a high-profile sponsor.

Key Responsibilities
  • Lead the development and execution of statistical analysis plans (SAPs) for large-scale real-world evidence (RWE) studies.
  • Work directly with cross-functional teams and senior stakeholders to design data-driven solutions that meet sponsor needs.
  • Oversee and mentor junior analysts, reviewing work for accuracy, quality, and consistency.
  • Provide guidance on the development and optimization of RWD analytics workflows.
  • Establish and maintain strong, trusted relationships with client counterparts.
  • Act as a key advisor, offering strategic insights based on data findings, and helping guide decision-making processes.
  • Lead the development of new tools and automated workflows to improve the efficiency and impact of RWD analysis.
  • Drive the use of advanced analytics and machine learning to derive actionable insights from large, complex datasets.
  • Lead the creation of sophisticated data visualizations, dashboards, and other reporting tools.
  • Ensure that findings are effectively communicated to both technical and non-technical stakeholders.
  • Drive the continuous improvement of data management, analysis methodologies, and reporting standards.
  • Actively contribute to the development of best practices and standard operating procedures.
  • Collaborate with internal teams (data scientists, epidemiologists, statisticians) and external stakeholders to integrate data from multiple sources and design innovative solutions.
Qualifications
  • Experience: Minimum 4-5 years of experience in RWD analytics, biostatistics, epidemiology, or a related field, with at least 3 years in a leadership or consultancy role. Proven track record in managing complex observational research projects in the life sciences or healthcare sector, particularly with large health databases (claims data, EMR, etc.).
  • Technical Skills: Expertise in SAS programming; advanced proficiency in SQL, R, Python, and other relevant programming languages (e.g., MATLAB, Hadoop, Spark). Experience working with cloud platforms like AWS, Azure, or Google Cloud is strongly preferred. Expertise in advanced data visualization tools such as Tableau, Power BI, or D3.js.
  • Knowledge & Expertise: Deep understanding of the US healthcare system, health insurance claims data, and electronic medical records (EMR). Experience applying advanced statistical methods and machine learning techniques to large healthcare datasets. Familiarity with database management, data wrangling, and data integration techniques.
  • Education: Advanced degree (Master’s or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field.
About ClinChoice

ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies.

We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.

Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices.

Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel.

The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.

ClinChoice is an equal opportunity employer.

We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity.

Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities.

We recognize this is our strength and celebrate it.

#LI-TT1 #LI-Remote #LI-Senior #Contract

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