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Clinical Programmer

Pop Science

London

On-site

GBP 40,000 - 70,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a technically creative Clinical Programmer to enhance clinical trial data integrity and quality. This role involves configuring clinical trial data systems, delivering statistical insights using SAS, and ensuring compliance with regulatory standards. The ideal candidate will be proactive and customer-focused, working collaboratively with cross-functional teams to drive data-driven decision-making. Join a dynamic environment where your analytical skills can significantly impact clinical research and patient outcomes. If you're passionate about data analytics and clinical research, this is the perfect opportunity for you.

Qualifications

  • Experience with clinical data and programming languages like SAS, R, or Python.
  • Strong knowledge of GCP, ICH guidelines, and regulatory compliance.

Responsibilities

  • Prepare and integrate data for clinical trials, ensuring quality and compliance.
  • Use SAS for statistical insights and collaborate with stakeholders.

Skills

SAS
R
Python
Good Clinical Practice (GCP)
Analytical Skills
Problem-Solving Skills
Communication Skills
Customer Focus

Education

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

Tools

Clinical Trial Data Systems

Job description

Coronado Research are delighted to be looking for a logical and technically creative Clinical Programmer to support our customers' data requirements through configuration of clinical trial data systems and creation and interpretation of outputs using SAS and other programming languages.

The Clinical Programmer will play a crucial role in the integrity, quality, and reliability of clinical trial data and supporting regulatory compliance across studies. 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
  1. Data preparation: Identify data sources and structure, conducting mapping and integration activities to ensure data availability for downstream activities.
  2. Technical set-up: Perform technical configuration of study systems, reports, and analysis to collect data and generate insights required to manage study oversight and monitor risks and trends.
  3. Statistical insights: Use SAS to deliver statistical insights throughout clinical trials.
  4. Anomaly detection: Identify anomalies within clinical trial data using advanced analytical techniques, be able to recognize the importance of those anomalies and explain those anomalies to a non-technical audience.
  5. 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.
  6. Requirements Analysis: Interpret requests and requirements from stakeholders into technical solutions that deliver high-quality results.
  7. Study team support: Develop and maintain systems, dashboards, reports, visualizations, and analysis ensuring key study insights to support clinical study teams.
  8. Stakeholder communication: Collaborate with internal and external stakeholders to communicate data-driven findings and recommendations.
  9. Documentation: Ensure that documentation required to demonstrate regulatory compliance is maintained accurately.
  10. Regulatory Compliance: Ensure adherence to CDISC, Good Clinical Practice (GCP), ICH guidelines, and regulatory requirements (FDA, EMA).
  11. Industry Best Practices: Stay up to date with emerging trends and best practices in clinical data analytics.
Skills and Experience Required
  1. Bachelor's or higher degree in a scientific, technical, or data-driven discipline.
  2. Proven experience of working with clinical data.
  3. Experience with SAS and other programming languages (e.g., R, or Python) for data manipulation and analysis.
  4. Strong knowledge of Good Clinical Practice (GCP), ICH guidelines, and global clinical trial regulations.
  5. Ability to diagnose data discrepancies, apply critical thinking, and generate actionable insights.
  6. Excellent logical, analytical, and problem-solving skills with a creative and curious approach to help drive innovation.
  7. A conscientious approach to accuracy to ensure data reliability and compliance.
  8. Good customer focus, able to prioritize the needs and satisfaction of our customers and address and resolve conflicts constructively, respectfully, and with resilience.
  9. Ability to work both independently and collaboratively in a fast-paced, cross-functional environment, and to hold yourself and others to account for appropriate ethical behavior and inclusivity.
  10. Dependable and a commitment to maintaining high data quality standards through a conscientious approach.
  11. 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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