We are looking for a Senior Statistical Programmer to support a key customer for a period of 3 months.

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. 

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 for data manipulation and analysis. Other programming languages such as R, or 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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