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Clinical Statistical Programmer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Quality Control
  • Non-Verbal Communication
  • Time Management

Roles & Responsibilities

  • Bachelors, Master or post-graduate degree in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or related discipline
  • Minimum 7 years of experience in SAS programming
  • Minimum 4 years of hands-on work experience with real world studies using large claims/EMR databases in HEOR
  • Strong programming skills in SAS and data analyses

Requirements:

  • Responsible for internal analysis for all internal projects research programs
  • Develop protocols and Statistical Analysis Plan (SAP) based on study concepts
  • Conduct statistical analyses to generate tables, listings, and figures for publications
  • Ensure quality of data and analyses through rigorous QC processes and programming templates

Job description

Join a Global Leader in Workforce Solutions – Net2Source Inc.

Who We Are
Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision—Right Talent. Right Time. Right Place. Right Price.

Job Title: Consultant, Outcomes Research Stats Analyst
Location: Remote
Duration: 06 Months Contract

Pay Rate: $86.68/Hr on W2

Shift:
Monday-Friday (8:00 AM to 5:00 PM) – 40.00 Hours/Week  
 
(Job Details)
 
Qualifications:
The role of Consultant, Outcomes Research Stats Analyst report to the Sr. Director, Head of Statistical Programming and Outcomes Analytics.
 
Education and Experience
• Bachelors, Master or post-graduate degree (eg, PhD, DrPH, PharmD) in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or other relevant discipline, with experience in coding and developing analytical datasets and conducting statistical analysis.
• Minimum 7 years of experience in SAS programming and a minimum 4 years of hands-on work experience with real world studies using large claims/EMR databases in HEOR
• Experience in R/Rshiny programming is a plus.
 
Responsibilities:
Core elements enabling success in the role will include:
Focusing across Women's Health, Established Brands, Biosimilars and in-licensing opportunities. In this role you will be responsible for the internal analysis for all internal projects research programs that include design and delivering internal research projects and insights. The role is responsible for the delivery of internal data analysis of studies involving observational studies for all developmental products and commercialized projects across the portfolio at Organon. The data is to be communicated to all internal stakeholders and for support for research projects that are reviewed and go to congress and manuscript submission.
• Strong programming skills in SAS programming and data analyses.
• Extensive work experience with large US insurance claims databases, electronic medical records, registry databases for health outcomes research (e.g., Premier, IBM-marketscan, THIN European database, Humedica, IMSPharmetrics +, GEhealth, Flatiron, OMNY etc.)
• Experience with OMNY database and Dermatology is a plus
• Experience working with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, CPT.
• Familiar with cloud and high-performance computing environments (Azure, AWS)
• Develop protocols and Statistical Analysis Plan (SAP) based on the study concept, and ensure appropriateness of study design, sample size and statistical methodologies proposed.
• Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.
• Conducts statistical analyses to generate tables, listings, and figures for use in publications/presentations and for internal purposes
• Must be able to meet timelines with minimal supervision, have excellent verbal and written skills. Solid ability to translate statistical information.
 
Comments/Special Instructions
• Degree in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or a related discipline.
• Experience in coding, developing analytical datasets, and conducting statistical analysis.
• Minimum 7 years of SAS programming experience.
• Minimum 4 years of hands-on experience with real-world studies using large claims/EMR databases in HEOR.
• Strong SAS programming and data analysis skills.
• Extensive experience with large healthcare databases such as US insurance claims databases, electronic medical records, and registry databases.
• Experience in R/Rshiny programming.
• Not looking for clinical statistical analysis expertise.

Why Work With Us?
We believe in more than just jobs—we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.

Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.

Awards & Recognition
• America's Most Honored Businesses (Top 10%)
• Fastest-Growing Staffing Firm by Staffing Industry Analysts
• INC 5000 List for Eight Consecutive Years
• Top 100 by Dallas Business Journal
• Spirit of Alliance Award by Agile1

#LS01

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