Programmer

Make an Impact in Global Clinical Programming

Are you an experienced statistical programmer looking to take the next step in your career? We’re expanding our team in India and are seeking skilled SAS programmers who are confident working with clinical trial data and CDISC standards.

In this role, you’ll have the chance to take ownership of your work, support junior team members, and contribute to high-quality analysis that drives important decisions in global clinical research.

If you enjoy solving complex data challenges, collaborating with a supportive team, and stepping into responsibilities that help you grow, we’d love to hear from you.

What You’ll Do:

• Use your SAS programming expertise to produce and validate high-quality datasets and outputs, working with SDTM, ADaM, and tools such as Pinnacle21.
• Take responsibility by staying alert to issues, communicating early, and helping keep projects moving smoothly.
• Provide guidance to junior programmers, offering day-to-day support, reviewing work, and helping them build confidence and independence.
• Contribute to study-level programming activities, with the opportunity to take on lead responsibilities where appropriate.
• Communicate clearly with cross-functional partners and collaborate effectively in a hybrid setup, spending time in the office as needed to support team members.

What You’ll Gain:

• The chance to advance your technical skillset, including training on internal tools and exposure to evolving best practices in clinical programming.
• Opportunities to grow into lead and mentoring roles, strengthening both technical and leadership capabilities.
• Optional avenues to explore additional programming languages such as R or Python, broadening your analytical toolkit.
• A workplace culture that values initiative, ownership, and continuous improvement, giving you space to make an impact.
• Experience contributing to high-quality clinical data outputs that support important research and regulatory decisions.
• This role serves as a strong foundation for a rewarding career at the intersection of data science, healthcare, and innovation.

Requirements

• Minimally qualified to BSc level in either Statistics or a Mathematics based degree with a high proportion of statistics content.
• Preferably qualified to MSc level in Statistics or equivalent.
• Have relevant experience within the pharmaceutical industry and/or medical sector.
• Understand the principles of statistics and how they pertain to clinical trials.