Statistical Programmer - Real World Evidence (Remote or Office Based)

Veramed; Greater London; Remote; GBP 45,000 - 60,000; Full time

Job summary

A leading company is expanding its Real World Evidence team and seeks experienced Statistical Programmers. This role involves delivering programming solutions for real-world data projects, collaborating with clients, and contributing to best practices. The company promotes a supportive environment with flexible working options and opportunities for professional growth.

Qualifications

• 4–8 years’ experience as a statistical programmer.
• Strong hands-on experience in R and/or SQL / Proc SQL / SAS.

Responsibilities

• Deliver high-quality programming solutions for real-world data projects.
• Create and validate analysis datasets and outputs using R, SQL, and SAS.

Skills

R

SQL

SAS

Education

ABSc (or higher) in a relevant field

Job description

Statistical Programmer - Real World Evidence (Remote or Office Based)

Statistical Programmer - Real World Evidence (Remote or Office Based)

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Senior Talent Acquisition Consultant at Veramed

At Veramed, we’re expanding our Real World Evidence (RWE) team and are looking for experienced Statistical Programmers who are passionate about hands-on programming and want to do meaningful work in a supportive, quality focused environment. Whether you're coming from another CRO/pharmaceutical company or moving away from an academic setting, Veramed provides the kind of balance that helps people thrive.

Key Responsibilities:

• Deliver high-quality programming solutions for real-world data projects in a collaborative FSP-style setup.
• Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS.
• Tackle data challenges using structured, creative approaches, working with real-world datasets.
• Contribute to shaping best practices in our growing RWE team.
• Work closely with clients and internal teams in a clear, communicative way.

Daily Interactions:

• Communicate with study team members and client contacts.
• Share updates internally and in client meetings.
• Collaborate with the Veramed team to ensure timely, high-quality deliverables.
• Provide mentoring and programming expertise as needed.

Beneficial Experience:

• 4–8 years’ experience as a statistical programmer, with exposure to RWE or observational data.
• Strong hands-on experience in R and/or SQL / Proc SQL / SAS
• Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.)
• ABSc (or higher) in a relevant field (statistics, mathematics, computer science, life sciences)
• An interest in continual learning and improving tools, workflows, and approaches.
• You may have a background in statistics, but your focus is now on programming.

What to Expect:

• A warm, collaborative environment for both personal and professional growth.
• Supportive management with an open-door policy to guide your development.
• Exposure to diverse clients and projects, including collaborations with top pharma companies.
• A unique, forward-thinking CRO that prioritizes staff well-being and innovative project management.
• The opportunity to take ownership of your role and expand your skills.

If you're passionate about delivering high-quality deliverables, enjoy mentoring, and want to make a real impact at a company that values your contribution, this role is for you. We offer flexible working options (home or office), comprehensive training, and a competitive package. Apply now!

As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research and Science

• Industries

  Pharmaceutical Manufacturing

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