Statistician/Programmer

Katalyst CRO; Hamilton Township (NJ); On-site; USD 149,000 - 217,000; Full time

Job summary

Katalyst CRO recherche un Consultant Statisticien/Programmer pour soutenir les initiatives en RWE et HEOR. Le candidat idéal travaillera avec des biostatisticiens pour développer des programmes en SAS et R, et réaliser des analyses statistiques pour diverses études. Les candidats doivent avoir un Master applicable et une expérience significative dans la recherche clinique.

Qualifications

• Rencontre des exigences du poste avec un Master et 4 ans d'expérience.
• Compétences en programmation SAS et R requises.
• Expérience en recherche clinique, de préférence dans l'industrie pharmaceutique.

Responsibilities

• Collaborer avec les biostatisticiens HEOR pour fournir un support de programmation statistique.
• Développer, valider et maintenir des programmes SAS et R.
• Générer des tables, listings et figures de haute qualité à partir de données d'essais cliniques.

Skills

Statistical programming

Analytical skills

Problem-solving

Education

Master's degree in Statistics, Biostatistics, Mathematics, Computer Science

Tools

SAS

R

Job description

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• Katalyst Healthcares & Life Sciences is hiring entry level candidates for several positions for contract research in Clinical trials of drugs, biologics and medical devices.
• We have a few immediate job opportunities available in Drug Safety and Pharmacovigilance and Clinical Research field. We work with University hospitals, pharmaceutical companies and recruiting partners.
  
  

Company Description

• Katalyst Healthcares & Life Sciences is hiring entry level candidates for several positions for contract research in Clinical trials of drugs, biologics and medical devices.
• We have a few immediate job opportunities available in Drug Safety and Pharmacovigilance and Clinical Research field. We work with University hospitals, pharmaceutical companies and recruiting partners.
  
  

Job Description

Job Description:

We are seeking a highly skilled and detail-oriented Consultant Statistician/Programmer to support Real-World Evidence (RWE) and Health Economics and Outcomes Research (HEOR) initiatives. The successful candidate will work closely with the RWE/HEOR biostatistician and will be responsible for developing, executing, and validating statistical programs using SAS and/or R to support analyses and deliverables for RWE, HEOR, and Market Access activities.

Responsibilities:

• Collaborate with HEOR and RWE biostatisticians to provide statistical programming support across various projects.
• Develop, validate, and maintain SAS and/or R programs to support statistical analyses and reporting activities for HEOR, RWE, and Market Access studies.
• Generate high-quality tables, listings, and figures based on clinical trial data and other relevant data sources.
• Perform statistical modelling and analyses as required.
• Utilize SDTM and Adam datasets to derive analysis datasets.
• Serve as the primary programmer on assigned projects, ensuring that programming deliverables are accurate and consistent.
• Perform quality control (QC) on statistical programs and outputs as needed.
• Ensure all programming activities comply with industry standards, study protocols, and statistical analysis plans (SAPs).
• Provide input on statistical methodologies and contribute to project deliverables.
• Maintain comprehensive documentation and audit trails for all programming activities.
• Perform rigorous data quality checks to ensure accuracy, completeness, and consistency.
  
  

Requirements:

• Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related technical discipline.
• Minimum of 4 years of experience in clinical research, preferably within the pharmaceutical or CRO industry, with exposure to Phase I–IV trials.
• Hands-on experience with CDISC SDTM and Adam datasets.
• Proficiency in SAS and R programming is required.
• Strong analytical and problem-solving skills, with the ability to manage complex studies and meet deadlines.
• Experience with statistical techniques, including longitudinal data analysis, survival analysis, and statistical modelling/simulation.
• Familiarity with observational studies, causal inference, patient-reported outcomes (PROs), and health technology assessment (HTA).
• Experience with indirect treatment comparisons (ITCs), such as matching-adjusted indirect comparison (MAIC), is a plus.
• Prior experience in a similar role within the pharmaceutical industry, preferably with a focus on small molecule pharmaceuticals.
  
  

Additional Information

All your information will be kept confidential according to EEO guidelines.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Business Consulting and Services

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