At a Glance
- Tasks: Lead data management activities and support clinical studies for innovative diabetes care technologies.
- Company: Abbott, a leader in healthcare with a focus on collaboration and inclusivity.
- Benefits: Highly competitive salary, pension scheme, private healthcare, and flexible benefits.
- Other info: Join a dynamic team with opportunities for professional growth and development.
- Why this job: Make a real impact on patient health while working with cutting-edge glucose monitoring technologies.
- Qualifications: BSc in a scientific discipline and experience in clinical data management preferred.
The predicted salary is between 51750 - 63250 £ per year.
Overview
As a Senior Clinical Data Management Analyst, you will lead data management activities across Clinical Affairs and R&D for Abbott’s Diabetes Care range.
You will work with a cross-functional team of Data Managers, EDC programmers and Statistical Programmers to support a variety of trials.
You will develop and implement data management processes and ensure high-quality study data through CRF design, database build and validation.
This role offers impact on patient health through next-generation glucose monitoring technologies and a collaborative, inclusive work environment.
- Pay / Benefits
- highly competitive salary
- defined-contribution pension
- share ownership scheme
- private healthcare
- life assurance
- flexible benefits scheme
Responsibilities
- Lead data management activities in support of Clinical Affairs and R&D
- Develop and maintain data management processes, procedures, and best practices
- Support clinical studies including CRF design/review, database build and validation, creation of data management documents
- Participate in clinical study teams and liaise with other departments to set priorities and timelines
- Key requirements
- BSc in a scientific or technical discipline
- Experience in a regulated clinical data management environment (advantageous)
- Ability to contribute to/manage multiple projects with cross-functional colleagues
- Adaptable with strong attention to detail
- Excellent written and verbal communication; collaboration and teamwork skills
- collaboration
- teamwork
- communication
- clinical data management
- data management processes
- clinical trial management
Senior Data Management Analyst in Witney employer: Abbott
Abbott Dundee is an exceptional employer that prioritises employee growth and development within a collaborative and safety-focused work culture. With a commitment to quality and continuous improvement, employees are empowered to contribute meaningfully in a GMP-compliant environment, ensuring the highest standards for healthcare products. The location offers a supportive atmosphere where attention to detail is valued, making it an ideal place for those seeking rewarding careers in manufacturing.
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We think this is how you could land Senior Data Management Analyst in Witney
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We think you need these skills to ace Senior Data Management Analyst in Witney
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Abbott, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Abbott. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Abbott
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Abbott!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
