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- Tasks: Lead Risk Management for Clinical Trials and Medicinal Product Lifecycle activities.
- Company: Boehringer Ingelheim develops breakthrough therapies, fostering a diverse and inclusive culture.
- Benefits: Enjoy a respectful global environment, learning opportunities, and a commitment to employee growth.
- Why this job: Join a Top Employer in the UK and make a real impact on health and innovation.
- Qualifications: Master’s degree in a scientific discipline with experience in GxP and Project Management.
- Other info: Be part of a family-owned company with a long-term perspective and a passion for innovation.
The predicted salary is between 43200 - 72000 £ per year.
As a Data Analytics Operations Manager you will act as an expert who leads Risk Management activities for Clinical Trials and other Medicinal Product Lifecycle activities.
Tasks & responsibilities:
- Lead Risk Assessment, Review, Control and Reporting activities with Key Stakeholders in Clinical Trial Teams and other partners within the organization.
- Utilise up-to-date data from multiple sources to identify Quality Risks.
- Guide Business Partners in developing mitigation plans to address identified risks and ensure implementation and oversight according to Stakeholder agreements.
- Report Clinical Trial risk management information to Key Stakeholders throughout the Product Lifecycle.
Requirements:
- Master’s degree in scientific discipline with a few years of experience in GxP within pharmaceutical industry.
- Proficient experience with clinical trials, clinical research associate, clinical trial management, or clinical auditing considered a plus.
- Proven knowledge in Project Management including experience in Quality Risk Management.
- Demonstrated experience in leadership and strategic problem-solving paired with good knowledge about processes and quality management.
- Strong computer skills, including MS Office, MS Project, database tools, and the talent to quickly learn new systems.
- Excellent organizational skills and ability to accomplish multiple tasks of varied complexity simultaneously.
- Outstanding capability and confidence to present complicated content in a clear, understandable and targeted manner.
WHY THIS IS A GREAT PLACE TO WORK:
Boehringer Ingelheim has been recognised as a Top Employer in the UK. Being certified as a Top Employer confirms our dedication to a better world of work, delivered through excellent HR policies and people practices.
Our Company:
At Boehringer Ingelheim we develop breakthrough therapies that improve the lives of both humans and animals. Founded in 1885 and family-owned ever since, Boehringer Ingelheim takes a long-term perspective. Now, we are powered by 52,000 employees globally who nurture a diverse, collaborative and inclusive culture.
Why Boehringer Ingelheim?
With us, you can grow, collaborate, innovate and improve lives. We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices. In addition, learning and development for all employees is key, because your growth is our growth.
Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients and communities.
Data Analytics Operations Manager employer: Boehringer Ingelheim
Contact Detail:
Boehringer Ingelheim Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Operations Manager
✨Tip Number 1
Familiarise yourself with the latest trends in Risk Based Quality Management, especially within clinical trials. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the pharmaceutical industry, particularly those involved in clinical trials and risk management. Attend relevant conferences or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss specific examples from your past experience where you've successfully managed risks or led projects. Highlighting your analytical skills and problem-solving abilities will demonstrate your fit for the role.
✨Tip Number 4
Research Boehringer Ingelheim's recent projects and initiatives in product development and quality risk management. Showing that you are informed about their work can set you apart and show your genuine interest in the company.
We think you need these skills to ace Data Analytics Operations Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, risk management, and clinical trials. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical skills and leadership experience. Explain how your background aligns with the responsibilities of the Data Analytics Operations Manager role and express your enthusiasm for working at Boehringer Ingelheim.
Highlight Relevant Skills: In your application, emphasise your proficiency with MS Office, project management tools, and any database systems you've used. Mention your ability to present complex information clearly, as this is crucial for the role.
Showcase Problem-Solving Abilities: Provide examples in your application that demonstrate your strategic problem-solving skills and experience in quality risk management. This will help illustrate your capability to guide business partners effectively.
How to prepare for a job interview at Boehringer Ingelheim
✨Showcase Your Analytical Skills
As a Data Analytics Operations Manager, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data to identify risks and make informed decisions in previous roles.
✨Demonstrate Leadership Experience
Highlight your leadership experience, especially in managing teams or projects related to Quality Risk Management. Share instances where you successfully guided teams through complex challenges.
✨Familiarise Yourself with GxP Regulations
Since the role requires knowledge of GxP within the pharmaceutical industry, brush up on relevant regulations and standards. Being able to discuss these confidently will show your preparedness for the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about potential risks in clinical trials and how you would develop mitigation plans, as this will demonstrate your strategic thinking.
