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- Tasks: Lead the optimization of data management and reporting in clinical trials.
- Company: Join a dynamic team focused on enhancing medical monitoring and data quality.
- Benefits: Enjoy opportunities for mentorship, professional growth, and working with cutting-edge data tools.
- Why this job: Make a real impact in life sciences while developing your skills in a supportive environment.
- Qualifications: Experience in Data Warehousing, clinical trials, and proficiency in visualization tools like Tibco Spotfire required.
- Other info: Located in Twickenham, this role offers a chance to work independently on complex projects.
The predicted salary is between 43200 - 72000 £ per year.
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Responsible to function in a continuous improvement framework with respect to systems deployment, life cycle management and enhancements supported user groups.
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Participating in the optimization of user management, content management, performance management and lifecycle management related to reporting and metrics in alignment with the direction set by the team management.
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Contributing to platform development facilitating Medical Monitoring Data Quality Management, Risk Based Monitoring, Integrated Reporting and Metrics to Maximize value for GD.
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Working with business owners to develop and deliver reports and metrics such as, but not limited to: Medical Monitoring Visualizations, Medical safety review, data review and cleaning, measuring key performance and risk indicators, ad hoc reporting and creating reports aligned with stakeholder and business needs.
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Taking leadership and mentoring role with development and delivery of reports, templates and metrics.
The ideal candidate will have comprehensive experience of working within Data Warehouse platforms in a regulated industry, specifically within a clinical trial environment. This role demands a deep understanding of data visualization tools, scripting languages, and SDTM data structures, along with the ability to work independently on complex assignments., * Experience as a Business Analyst, working within Data Warehouse platforms in a regulated industry within a clinical trial environment.
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In depth knowledge of Tibco Spotfire or other equivalent visualisation development tools (Power BI or Tableau).
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Knowledge of SDTM data structure is essential.
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In depth knowledge of Python (Pandas and PySpark), R, SAS, or other object-oriented programming languages.
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Experience within life sciences industry is essential.
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Ability to work independently on assignments of moderate to high complexity without support.
Telephone
+44 (0) 2033255075
Location
Floor 5
Regal House
70 LONDON ROAD
Twickenham
TW1 3QS
GB
Lead Clinical Data Science Programmers employer: Warman O'Brien
Contact Detail:
Warman O'Brien Recruiting Team
+442033255075
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Clinical Data Science Programmers
✨Tip Number 1
Familiarize yourself with the specific data visualization tools mentioned in the job description, like Tibco Spotfire, Power BI, or Tableau. Having hands-on experience or showcasing projects where you've used these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in a clinical trial environment and your understanding of SDTM data structures. Be prepared to discuss how you've applied this knowledge in previous roles during the interview process.
✨Tip Number 3
Demonstrate your ability to work independently on complex assignments by preparing examples from your past work. This could include specific projects where you took the lead or solved challenging problems without much oversight.
✨Tip Number 4
Network with professionals in the life sciences industry, especially those who have experience in data management and reporting. Engaging with them can provide insights into the role and may even lead to referrals.
We think you need these skills to ace Lead Clinical Data Science Programmers
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and requirements. Highlight your experience with data visualization tools, programming languages, and clinical trial environments in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience in Data Warehouse platforms and your knowledge of SDTM data structures. Emphasize your leadership and mentoring skills, as well as your ability to work independently on complex assignments.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background in life sciences and data management to the specific needs of the role. Mention your familiarity with tools like Tibco Spotfire, Power BI, or Tableau, and how you can contribute to the team.
Highlight Key Projects: In your application, include specific examples of projects where you utilized Python, R, or SAS for data analysis and reporting. This will demonstrate your hands-on experience and problem-solving abilities in a regulated industry.
How to prepare for a job interview at Warman O'Brien
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data visualization tools like Tibco Spotfire, Power BI, or Tableau. Highlight specific projects where you utilized these tools to deliver impactful reports and metrics.
✨Demonstrate Your Understanding of SDTM
Since knowledge of SDTM data structures is essential, be ready to explain how you've worked with these structures in past roles. Provide examples of how you ensured data quality and compliance in a clinical trial environment.
✨Emphasize Independent Problem-Solving
This role requires the ability to work independently on complex assignments. Share examples from your previous experiences where you successfully tackled challenges without direct supervision, showcasing your initiative and problem-solving skills.
✨Prepare for Leadership Questions
As this position involves mentoring and taking a leadership role, think about your past experiences in guiding teams or projects. Be ready to discuss your leadership style and how you foster collaboration and growth among team members.
