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

TN France; Paris; À distance; EUR 55 000 - 85 000; Plein temps

Résumé du poste

An innovative global provider in the life sciences industry is seeking a Senior Statistical Programmer to join their dynamic team. This exciting role offers the chance to work remotely across Europe, providing statistical programming expertise for early phase studies in a collaborative environment. You will be responsible for creating critical datasets and leading projects that contribute to advancing medicine and therapies. With a strong focus on work-life balance and career development, this position is perfect for those looking to make a significant impact in the pharmaceutical and CRO sectors.

Prestations

Home-based remote work opportunities

Great work/life balance

Collaborative projects with industry leaders

Job stability and long-term engagements

Technical training and tailored development

Career advancement opportunities

Qualifications

• 5+ years of relevant experience in statistical programming.
• Strong SAS skills and in-depth knowledge of CDISC standards.

Responsabilités

• Create ADaM safety datasets for early phase translation medicine.
• Lead projects related to Phase I studies and PK parameters.

Connaissances

SAS

CDISC

Statistical Programming

Exposure Response Analysis

Project/Study Lead Experience

Formation

Bachelor’s Degree in Statistics

Bachelor’s Degree in Computer Sciences

Bachelor’s Degree in Bioinformatics

Description du poste

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

Client: IQVIA

Location: Paris, France

Job Category: Other

EU work permit required: Yes

Job Reference: c141749e66d0

Job Views: 1

Posted: 06.05.2025

Expiry Date: 20.06.2025

Job Description:

Why IQVIA DSSS?

Data Sciences Staffing Solutions, DSSS or DS3, is a unit within IQVIA that provides our sponsors with fully dedicated resources through a Functional Service Provider (FSP) partnership. This means you get all the benefits of working for an industry-leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world-class pharmaceutical and biotech companies, offering a unique opportunity to work within an eco-system where your role is both challenging and rewarding, alongside passionate colleagues committed to advancing medicine and therapies. With IQVIA's DSSS business unit, you are not just another cog in the machine; you become a core part of a dynamic team dedicated to reshaping healthcare.

Job Requirements:

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

Education/Experience:

• Bachelor’s Degree in Statistics, Computer Sciences, Bioinformatics, or related field, and 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 the Pharma and CRO sectors.
• Cohesive team environment fostering a collaborative approach to study work.
• Variety of therapeutic areas, indications, and study phases.
• Job stability; long-term engagements and development opportunities.
• Technical training and tailored development curriculum.
• Career advancement opportunities.

IQVIA is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at [website].