At a Glance
- Tasks: Support data visibility and integrity in clinical trials through analysis and programming.
- Company: Coronado Research is dedicated to enhancing clinical research and patient outcomes.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Make a real impact on healthcare while working with cutting-edge data analytics.
- Qualifications: Bachelor's degree in a relevant field and experience with clinical data and programming languages.
- Other info: Join a team that values innovation, accuracy, and customer satisfaction.
The predicted salary is between 36000 - 60000 Β£ per year.
Coronado Research are delighted to be recruiting for Data Analysts to join our team.
Are you a logical and technically creative Clinical Data Analyst? We need someone to support our customers visibility of their data through configuration and interpretation of data outputs using various programming languages and clinical trial systems.
The Clinical Data Analyst 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 oversight and analytics-driven decision-making.
Key Responsibilities
- Data preparation: Identify data sources and structure, conducting mapping and integration activities to ensure data availability for downstream activities.
- Technical set-up: Perform technical configuration of study systems, reports and analysis to generate insights required to manage study oversight and monitor risks and trends.
- 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.
- Study team support: Develop and maintain dashboards, reports, visualisations and analysis summarising key study insights to support clinical study teams.
- Stakeholder communication: Collaborate with internal and external stakeholders to communicate data-driven findings and recommendations.
- Documentation: Ensure that documentation required to demonstrate regulatory compliance are maintained accurately.
- Regulatory Compliance: Ensure adherence to Good Clinical Practice (GCP), ICH guidelines, and regulatory requirements (FDA, EMA).?
- Industry Best Practices: Stay up to date with emerging trends and best practices in clinical data analytics.?
Skills and Experience Required
- Bachelor\βs or higher degree in a scientific, technical, or data-driven discipline.
- Proven experience of working with clinical data.
- Experience with one or more programming languages (e.g. SAS, R, or Python) for data manipulation and analysis.
- 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 with a creative and curious approach to help drive innovation.?
- 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, and to hold yourself and others to account for appropriate ethical behaviour and inclusivity.
- 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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Clinical Data Analyst employer: Coronado Research
Contact Detail:
Coronado Research Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Clinical Data Analyst
β¨Tip Number 1
Familiarise yourself with the specific programming languages mentioned in the job description, such as SAS, R, or Python. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical capabilities during interviews.
β¨Tip Number 2
Stay updated on Good Clinical Practice (GCP) and ICH guidelines, as well as regulatory requirements like those from the FDA and EMA. Being knowledgeable about these standards will show your commitment to compliance and quality in clinical data analysis.
β¨Tip Number 3
Prepare to discuss your experience with anomaly detection and how you've communicated complex data findings to non-technical stakeholders. This will highlight your analytical skills and your ability to work collaboratively within cross-functional teams.
β¨Tip Number 4
Consider creating a portfolio of your previous work related to clinical data analysis. Showcasing dashboards, reports, or any relevant projects can provide tangible evidence of your skills and help you stand out during the selection process.
We think you need these skills to ace Clinical Data Analyst
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in clinical data analysis, programming languages like SAS, R, or Python, and your understanding of Good Clinical Practice (GCP) and ICH guidelines. Use keywords from the job description to align your skills with what Coronado Research is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and clinical research. Mention specific experiences where you demonstrated your analytical skills, problem-solving abilities, and customer-focused mindset. Be sure to explain how you can contribute to the integrity and quality of clinical trial data.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages and any experience with clinical trial systems. Provide examples of how you've used these skills to generate insights or improve data quality in previous roles.
Highlight Collaboration Experience: Since the role requires working closely with cross-functional teams, include examples of past collaborative projects. Describe how you effectively communicated data-driven findings and supported stakeholders in making informed decisions.
How to prepare for a job interview at Coronado Research
β¨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like SAS, R, or Python. Bring examples of how you've used these tools for data manipulation and analysis in previous roles, as this will demonstrate your technical proficiency.
β¨Understand Clinical Data Regulations
Familiarise yourself with Good Clinical Practice (GCP) and ICH guidelines. During the interview, be ready to explain how you ensure compliance with these regulations in your work, as this is crucial for the role.
β¨Prepare for Anomaly Detection Scenarios
Think of specific instances where you've identified anomalies in clinical trial data. Be ready to explain your analytical approach and how you communicated these findings to non-technical stakeholders, showcasing your ability to bridge the gap between data and decision-making.
β¨Demonstrate Your Collaborative Spirit
Since the role requires working closely with cross-functional teams, prepare examples that highlight your collaborative experiences. Discuss how you've effectively communicated with stakeholders and contributed to team success in past projects.