Senior Statistical Programmer, Early Phase (PK/PD) - FSP

TN United Kingdom; Reading; Remote; GBP 50,000 - 80,000; Full time

Job summary

Join a forward-thinking global CRO as a Senior Statistical Programmer and play a crucial role in shaping the future of healthcare. This full-time role offers a unique opportunity to work remotely across Europe, collaborating with top pharmaceutical and biotech companies. You'll provide hands-on expertise in statistical programming, contributing to early phase translation medicine projects. Enjoy a great work/life balance and the chance to advance your career with technical training and development programs. Be part of a cohesive team that values collaboration and innovation in the life sciences industry.

Benefits

Home-based remote work opportunities

Great work/life balance

Collaborative projects with industry leaders

Job stability with long-term engagements

Technical training and tailored development programs

Career advancement opportunities

Qualifications

• 5+ years of experience in statistical programming for clinical trials.
• Strong knowledge of regulatory requirements and submissions.

Responsibilities

• Provide statistical programming expertise for early phase studies.
• Generate PK non-compartmental tables, figures, and listings.

Skills

SAS Programming

Statistical Analysis

CDISC Standards

Phase I Studies

Exposure Response Analysis

Education

Bachelor’s Degree in Statistics

Bachelor’s Degree in Computer Sciences

Bachelor’s Degree in Bioinformatics

Tools

ADaM Safety Datasets

NONMEM

Job description

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Senior Statistical Programmer, Early Phase (PK/PD) - FSP, Reading

Client: IQVIA

Location: Reading, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Reference: 24825a2048ee

Job Views: 11

Posted: 29.04.2025

Expiry Date: 13.06.2025

Job Description:

Why IQVIA DSSS?

Data Sciences Staffing Solutions, DSSS or DS3, is a unit within IQVIA that provides our sponsors with dedicated resources through a Functional Service Provider (FSP) partnership. This allows you to work for an industry-leading global CRO while operating within a sponsor environment and using sponsor systems. Our clients include top pharmaceutical and biotech companies, offering a unique opportunity to work in a challenging and rewarding environment alongside passionate colleagues dedicated to advancing medicine and therapies. With IQVIA's DSSS, you are a vital part of a dynamic team shaping the future of healthcare.

Job Requirements:

• Provide hands-on Statistical Programming expertise for the client's early phase translation medicine group.
• Create ADaM safety datasets such as ADSL, ADLB, ADVS, ADEX, ADPC (concentration), ADPP (parameter), and POPPK (NONMEM) datasets.
• Generate PK non-compartmental (NCA) tables, figures, and listings (TFLs).
• Experience with Phase I studies, exposure response analysis, crossover designs, and pooling of PK parameters.
• Strong SAS technical skills and in-depth CDISC knowledge.
• Good understanding of regulatory requirements for submissions.
• Project/Study lead experience is highly preferred.

Education/Experience:

Bachelor’s Degree in Statistics, Computer Sciences, Bioinformatics, or related field, with 5 or more years of relevant experience.

This position is remote-based (anywhere in Europe) and full-time.

Additional Benefits:

• Home-based remote work opportunities.
• Great work/life balance.
• Collaborate on projects and innovations with industry leaders in Pharma and CRO sectors.
• Cohesive team environment promoting collaboration.
• Variety of therapeutic areas, indications, and study phases.
• Job stability with long-term engagements and development opportunities.
• Technical training and tailored development programs.
• Career advancement opportunities.

IQVIA is a leading global provider of analytics, technology solutions, and clinical research services to the life sciences industry. We aim to push the boundaries of human and data science to make a significant impact—helping our customers create a healthier world. Learn more at