SAS Statistical Programmer with Interest in Clinical Data and Real-world Evidence

Location: Ballerup 2750, , Denmark
Contract type: Permanent
Job ID: 4093

Use your SAS programming expertise and interest in statistics to help shape evidence that supports better decisions for patients, healthcare systems, and science. In this role, you will work across clinical development, publications, and market access, applying your programming skills to clinical and real-world data where they can create clear and visible impact. If you have a background in science, technology, engineering or math, enjoy working hands-on with data, and would like to develop further in applied statistics, this could be the right next step for you.

Join us in creating a future legacy in medical dermatology

At LEO Pharma, we are global leaders in medical dermatology. We have 115 years’ experience in bringing innovation to healthcare. And we are eager to do much more. Each year, close to 100 million people have a better day because of our medicines. This is a unique opportunity to use strong statistical programming skills, particularly in SAS, in a highly impactful role across clinical development, publications, and market access, while building and applying your interest in biostatistics.

Your role

As our new Statistical Programmer, you will play a key role in generating robust evidence from Phase 2b, Phase 3, and Phase 4 clinical trials, as well as non-interventional studies and external data sources. This is a broad and hands-on role with a strong emphasis on SAS programming, where you will use statistical thinking and high-quality programming to support publication activities, pricing and reimbursement discussions, and evidence generation across our portfolio.

• Program, quality control, validate, and document datasets, tables, figures, and listings using SAS
• Perform statistical programming and applied statistical analyses for publication-related analysis requests, including abstracts and 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 analyses for meta-analyses and indirect treatment comparisons, including network meta-analysis and population-adjustment methods based on patient-level data

The role offers a rare opportunity to apply and further develop statistical programming and statistical skills in one position with broad scientific impact, working across diverse data sources including clinical trial, real-world, and external database evidence. You will contribute directly to publications, market access, and evidence-generation activities while joining a collaborative international environment with strong technical peers.

Your qualifications

To succeed in this role, we imagine that you have the following qualifications:

• MSc or PhD in a STEM discipline, for example mathematics, computer science, data science, engineering, bioinformatics, pharmacy, life sciences, statistics, or another quantitative or scientific field
• Experience working with clinical, healthcare, pharmaceutical, life science, or other complex data; pharmaceutical industry experience is an advantage but not a strict requirement
• Strong practical expertise in SAS programming, including the ability to produce high-quality, well-documented analysis outputs; familiarity with R will be an added value
• Experience with CDISC standards, including ADaM and SDTM, and familiarity with relevant regulatory guidelines is an advantage; alternatively, a strong motivation to learn and apply these standards
• Interest in applied statistics and statistical analysis of clinical or healthcare data, with willingness to develop further in clinical trial analyses, meta-analyses, or indirect treatment comparison methods

LEO Pharma is built on collaboration, innovation and curiosity. Is this you? Can you bring strong programming discipline, attention to detail, and a self-driven, flexible, and supportive mindset, along with the ability to thrive in cross-functional collaboration and a fast-paced environment?

Your new team

You will join the Real World Evidence Data Analytics & Clinical Outcome Assessments (RWE DA COA) department within Global Clinical Development, where we work at the intersection of statistical programming, statistics, real-world evidence, and clinical outcome assessment. The team collaborates closely across projects and functions to deliver high-quality analyses that support both scientific and business decisions. In this role, your main interfaces will be with fellow statistical programmers and biostatisticians, with occasional collaboration across Medical Affairs, HEOR, and Market Access.

Your application

For additional information, please contact Niels Hoejsager Bennike, Head of RWE DA COA at [email protected]

You do not need to upload a cover letter, but feel free to add a few sentences in your resume or CV on why this position has your interest. Please refrain from adding a photo to your CV.

Beyond the skin

Become part of LEO Pharma, a global leader in medical dermatology, as we go beyond the skin to make a lasting impact. We are the legacy-builders of the future – enabling people to have a better today and tomorrow. With the world as our lab, we are transforming innovative ideas into more effective and easier-to-use medicines. Through collaboration and partnerships, we can do much more.

At LEO Pharma, we believe in the power of individuals to drive change. Our flat organizational structure empowers you to make a visible impact and offers versatile roles for professional growth. We value diversity and welcome applications from all qualified candidates, recognizing that our different perspectives, backgrounds, and attitudes enable us to make the best decisions. Join our passionate team at LEO Pharma and be yourself as we work together to make a fundamental difference.

For certain positions, LEO Pharma might complete a background check conducted by a third party.

Join us and make an impact in, on and far beyond the skin. Apply now!

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