Statistical Programmer
Application deadline:
Location: Gdansk 80-309, , Poland
Contract type: Permanent
Job ID: 3621
Role Description
Are you passionate about programming and ready to make a significant impact in clinical research? LEO Pharma is seeking a motivated and detail-oriented Statistical Programmer to join our Statistical Programming team. This is your opportunity to work alongside talented professionals, leveraging your expertise to support clinical trials and deliver high-quality, statistically sound data. Make a difference in advancing health solutions for patients worldwide!
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 medicine.
Your Role:
As a Statistical Programmer, you will play a vital role in structuring, analyzing, and delivering clinical data in support of clinical trials and regulatory submissions. You’ll provide programming expertise to ensure data integrity, compliance, and high-quality deliverables.
Your key responsibilities will include:
• Data transformation, analysis and visualization using R programming
• Programming and quality control (QC) of datasets, tables, figures, and listings for Clinical Study Reports (CSRs) and regulatory submissions.
• Structuring and analyzing clinical trial data according to CDISC standards and regulatory requirements.
• Creating and validating deliverables for electronic submissions.
• Collaborating with internal teams to review and provide input on clinical study documents such as protocols, data flow plans, and annotated CRFs.
• Overseeing statistical deliverables for studies outsourced to CROs and ensuring dataset specifications align with requirements.
• Use of Application Programming Interfaces (APIs) to facilitate data exchange and automation
• Supporting cross-departmental programming tasks and taking on additional responsibilities as required.
Your Qualifications
To succeed in this role, you should bring:
• A graduate qualification in mathematics, statistics, computer science, life sciences, or economics.
• Proficiency in R programming, including the use of APIs (Application Programming Interfaces) and AI tools.
• Intermediate SAS/Macro programming and familiarity with CDISC standards, preferably within the pharmaceutical or CRO industry.
• Excellent written and verbal communication skills in English.
• A detail-oriented, problem-solving mindset with the ability to collaborate effectively across teams.
Contact and Application
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.
Your New Team
You’ll join LEO Pharma’s Statistical Programming team, a group of skilled professionals dedicated to delivering data-driven insights that advance clinical research. Working closely with colleagues in Data Management, Biostatistics, Medical Communication, and external partners such as CROs, you’ll be part of a collaborative environment where innovation and teamwork are at the core of everything we do. Together, we turn clinical data into actionable knowledge, ensuring high standards and impactful outcomes.
Beyond the skin
Join LEO Pharma, a global leader in medical dermatology, as we go beyond the skin to make a lasting impact. Our innovative approach sets us apart. We are dedicated to leaving a legacy that positively impacts patients, colleagues, and our planet.
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 difference.
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