As a COE PMx Programmer, you will use your strong statistical programming skills and industry experience to work with cross-functionally with other departments. This will involve using experience with PopPk/PD or NONMEM for various purposes.

The role will be full-time and fully remote, the successful candidate will be based in India. The successful candidate's working hours will overlap with US working hours.

Responsibilities

The following areas of expertise will be aligned to the role...
Statistical expertise and scientific leadership
Leadership and people development
Compliance, quality and governance
Communication and influence

Qualifications

• 5-8 years minimum experience in the industry, with at least 3 years working on Poppk dataset creation
• Experience working in phases I, II, and III of clinical trials
• Fundamental understanding of data collection and analysis datasets for PK, PK/PD, and population PK/PD analysis
• Experience to create, validate and create specifications for PopPK/PD or NONMEM analysis input datasets for modelling and simulation purposes




• Experience in creating e-submission packages for NONMEM analysis.
• Solid understanding of CDISC data standards
• Ability to work cross-functionally with other departments, including but not limited to statistical programming and pharmacometrics
• Excellent communication skills, well-organized, proactive team player with a creative approach to problem-solving
• Robust statistical programming skills using SAS and R in the Pharmaceutical/CRO/Biotech industry is advantageous

Why Join Us?
Remote working and flexible working hours
Career development, mentorship, and continuous learning
Supportive, friendly, and collaborative culture

About Phastar

Phastar is an award-winning biometrics and data science CRO, trusted by pharma, biotech, and medical device companies worldwide. With a global team of data specialists, we bring expertise, precision, and pace to every trial, because behind every data point is

📌 COE PMx Programmer (India)
🏢 PHASTAR
📍 India