Senior SAS & R Programmer

Pop Science; Remote; GBP 40,000 - 70,000; Full time

Job summary

A leading clinical research firm in the UK is seeking a Senior SAS Programmer with expertise in R and clinical trials. The role involves preparing data, detecting anomalies, and ensuring quality control across clinical datasets. Ideal candidates will have extensive experience with CDISC standards, strong analytical skills, and a commitment to high-quality data practices. This opportunity offers remote work and the chance to impact clinical research positively. If you are passionate about data analytics in healthcare, consider applying.

Qualifications

• Extensive experience creating and validating SDTM and ADaM datasets to CDISC standards.
• Proven experience working with clinical data.
• Good knowledge of GCP, ICH guidelines, and global clinical trial regulations.

Responsibilities

• Prepare and organise data from various sources for analysis.
• Identify anomalies in clinical trial data using advanced analytical techniques.
• Conduct quality control activities for data integrity.

Skills

SAS

R

Critical thinking

Data manipulation

Analytical skills

Communication skills

Collaboration

Education

Bachelor's or higher degree in a scientific, technical, or data-driven discipline

Tools

SAS

R

Python

Job description

We are looking for Senior SAS Programmers who can also program in R with a background in working across clinical trials, ideally with experience in oncology.

The successful candidate will be proactive and conscientious in their work, with a customer focused mindset and a highly collaborative attitude, able to work closely with cross-functional teams to ensure effective data collection, manipulation, oversight and analytics-driven decision-making. This is remote UK and you will need the right to work.

Key Responsibilities

Data preparation: Prepare and organise data by identifying sources, defining structure, and performing mapping and integration activities to support analysis.

Anomaly detection: Identify anomalies within clinical trial data using advanced analytical techniques, be able to recognise the importance of those anomalies and explain those anomalies to a non-technical audience.

Quality Control: Conduct quality control activities to ensure the integrity of outputs and support the development journey of others through effective communication and analysis of quality control findings.

Requirements Analysis: Interpret requests and requirements from stakeholders into technical solutions that deliver high quality results.

Stakeholder communication: Collaborate with internal and external stakeholders to communicate data-driven findings and recommendations.

Regulatory Compliance: Ensure adherence to CDISC, Good Clinical Practice (GCP), ICH guidelines, and regulatory requirements (FDA, EMA).

Skills and Experience Required

• Extensive experience creating and validating SDTM and ADaM datasets to CDISC standards
• Generation and QC of complex Tables, Listing and Figure (TLF) outputs.
• Bachelor's or higher degree in a scientific, technical, or data-driven discipline.
• Proven experience of working with clinical data.
• Extensive experience with SAS and R for data manipulation and analysis. Other programming languages such Python would be beneficial.
• Strong knowledge of Good Clinical Practice (GCP), ICH guidelines, and global clinical trial regulations.
• Ability to diagnose data discrepancies, apply critical thinking, and generate actionable insights.
• Excellent logical, analytical and problem-solving skills.
• A conscientious approach to accuracy to ensure data reliability and compliance.
• Good customer focus, able to prioritise the needs and satisfaction of our customers and address and resolve conflicts constructively, respectfully and with resilience
• Ability to work both independently and collaboratively in a fast-paced, cross-functional environment.
• Dependable and a commitment to maintaining high data quality standards through a conscientious approach.
• Strong communication and interpersonal skills for effective collaboration across teams.

This is an exciting opportunity for a data-driven professional to make a meaningful impact on clinical research and patient outcomes. If you have a passion for data analytics and clinical research, we encourage you to apply

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