Statistical Programmer II
Posted Oct 9
Posted Oct 9
This is a fully remote position, open to applicants in United Kingdom, +5 more countries.
• Create and ensure the quality of NONMEM PK/PD datasets utilizing SDTM and ADaM data sources.
• Assist in pharmacometric modeling efforts by providing datasets that are accurate, comprehensive, and ready for submission.
• Conduct quality reviews of NONMEM datasets produced both internally and externally.
• Work collaboratively with teams in Data Management, Statistical Programming, Statistics, Clinical Pharmacology, and Bioanalytical areas to address data issues and adhere to project deadlines.
• Participate in regulatory submission initiatives while following internal pharmacometrics guidelines.
• Execute quality control testing on customized R packages designed to standardize pharmacometric workflows.
• Develop and sustain testing frameworks and validation processes for departmental R tools and packages.
• Recognize data discrepancies, identify process enhancements, and explore opportunities for automation and increased efficiency.
• Contribute to new initiatives aimed at pharmacometric standardization.
• Ensure that deliverables align with SOPs, operational instructions, regulatory standards, and ICH-GCP guidelines.
• Maintain readiness for inspections through continuous training and adherence to quality benchmarks.
• A Bachelor’s degree in a Life Science, Health Science, Statistics, Computer Science, IT, or a related field.
• At least 6 years of experience in the pharmaceutical, biotechnology, or CRO sectors.
• Proficient programming skills in R.
• Experience in developing and ensuring the quality of NONMEM PK/PD datasets.
• Familiarity with PK/PD principles and pharmacometric workflows.
• In-depth knowledge of SDTM, ADaM, and CDISC standards, including controlled terminology.
• Background in supporting the creation, quality control, submission, and standardization of NONMEM files.
• Strong attention to detail and a commitment to maintaining data integrity.
• Exceptional written and verbal communication skills in English.
• Experience in reviewing and managing programming deliverables from external sources.
• Experience in validating or ensuring quality control for customized R packages.
• Proven ability to identify process improvements and lead standardization efforts.
• Capacity to work effectively within global, cross-functional teams.
• Legal authorization to work in the country where the position is located.
• Competitive base salary along with performance-related incentives.
• Health and wellness programs, including medical, dental, and vision coverage where applicable.
• Retirement and pension schemes.
• Life insurance and disability coverage.
• Employee assistance programs and wellness resources.
• Opportunities for learning and development through structured training and career pathways.
• A collaborative working environment.
• Job stability and opportunities for career advancement.
• Chance to work within a globally recognized Clinical Pharmacology & Pharmacometrics function.
• Contribution to groundbreaking drug development projects.
• Engagement in ongoing innovation and standardization initiatives within pharmacometrics and clinical data science.
Holman
Cotiviti
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