SAS Statistical Programmer for Clinical & Real‑World Data

LEO Pharma; København; On-site; DKK 700,000 - 1,100,000; Full time

Job summary

LEO Pharma in Denmark is seeking a Statistical Programmer to generate robust evidence from Phase 2b-4 trials and non-interventional studies, with a strong emphasis on SAS programming to support publications, market access, and evidence generation across the portfolio.

You will work in the Real World Evidence Data Analytics & Clinical Outcome Assessments team within Global Clinical Development, collaborating with biostatisticians and fellow programmers to deliver high-quality analyses that inform

Qualifications

• MSc or PhD in a STEM discipline (e.g., mathematics, computer science, data science, engineering, life sciences, statistics)
• Experience with clinical or healthcare data; pharma industry is a plus
• Strong SAS programming expertise with well-documented outputs; familiarity with R is a plus
• Experience with CDISC standards (ADaM/SDTM) is advantageous
• Interest in applied statistics and clinical trial analyses

Responsibilities

• Program, quality control, validate, and document datasets, tables, figures, and listings using SAS
• Perform statistical programming and analyses for publication-related requests (abstracts/manuscripts)
• Program and support subgroup analyses for affiliate pricing and reimbursement negotiations
• Provide programming input and contribute statistical thinking to HTA and payer-related deliverables
• Support meta-analyses and indirect treatment comparisons (network meta-analysis, population-adjustment methods)

Skills

SAS programming

Statistics

Biostatistics

Data analysis

R familiarity

Education

MSc/PhD in STEM

Tools

CDISC ADaM/SDTM

R

Job description

LEO Pharma in Denmark is seeking a Statistical Programmer to generate robust evidence from Phase 2b-4 trials and non-interventional studies, with a strong emphasis on SAS programming to support publications, market access, and evidence generation across the portfolio.

You will work in the Real World Evidence Data Analytics & Clinical Outcome Assessments team within Global Clinical Development, collaborating with biostatisticians and fellow programmers to deliver high-quality analyses that inform