At a Glance
- Tasks: Lead data management projects, ensuring quality deliverables and customer satisfaction.
- Company: Join IQVIA, a global leader in clinical research and healthcare intelligence.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Dynamic role with opportunities for growth and learning in a fast-paced industry.
- Why this job: Make a real impact in healthcare by managing innovative data solutions.
- Qualifications: Bachelor's degree and 3-4 years of data management experience required.
The predicted salary is between 54000 - 66000 £ per year.
Job Overview
Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction.
Provide comprehensive data management expertise to Data Management (DM) team to provide high quality data management products that meet customer needs.
Provide leadership to the team in the areas of project planning, execution, and close-out; Overview of financial management for data management activities; communications; and milestone deliverables.
Perform role of Data Team Lead (DTL).
Essential Functions
- Gather Study Set up requirements through discussion and communication with relevant stakeholders.
- With Minimal guidance - support, overview of validation of new Device integrations.
- Oversight & Perform regular Data cleaning activities to ensure clean data with quality and timely deliverables to sponsor.
- Ensure that all the deliverables are of expected quality standards and meet customer expectations.
- With guidance, ensure service and quality meet agreed upon timelines and deliverables in contract/Scope of Work (SOW).
- Support Training of New joiners.
- Lead internal study meetings and internal/ sponsor audits and participate in Study Kick off meetings and other sponsor meetings.
- Tracks and manages the projects, oversee project progress, identify risks and take corrective action to rectify any errors as recommended as required.
- With Guidance manage & oversight the implementation of new technology / database revisions.
- Work closely with the programming team for process innovation and automation.
- Be compliant to trainings and e SOP reading.
- Provide review and expert opinion in developing, revising, and maintaining core operating procedures and working instructions.
- Communication with Line Manager, and other team members across functions should be collaborative.
- Perform other duties as directed by Line Manager.
Qualifications
- Bachelor's Degree In health, clinical, biological or mathematical sciences, or related field with proven experience in Data Management Req
- 3 -4 years direct Data Management experience, including a minimum of 1 year as a CDM project lead.
- Pref
- English Fluency Spoken and English Advanced
- Advanced computer applications like Microsoft excel, word, Inbox etc Advanced
- Should have Advanced understanding of Drug development lifecycle and Overall Clinical research process Advanced
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.
We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
Learn more at https://jobs. iqvia. com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud.
All information and credentials submitted in your application must be truthful and complete.
Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law.
We appreciate your honesty and professionalism.
Data Team Lead, EMEA employer: IQVIA
IQVIA in Livingston, Scotland is an excellent employer that fosters a collaborative team environment and prioritises employee growth through outstanding career development opportunities. Working as a Lab Operations Assistant here not only allows you to contribute to meaningful projects but also ensures you are part of a supportive workplace that values safety and professionalism.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead, EMEA
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IQVIA!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IQVIA.
✨Apply Directly through Our Website
When you find a suitable opening like Data Team Lead, EMEA at IQVIA, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Team Lead, EMEA
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IQVIA, 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 IQVIA. 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 IQVIA
✨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!
✨Showcase Your Projects
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 IQVIA!
✨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.