At a Glance
- Tasks: Lead global data management projects and drive process improvements.
- Company: Join IQVIA, a leader in clinical research and healthcare intelligence.
- Benefits: Competitive salary, career growth, and a chance to impact patient outcomes.
- Other info: Dynamic work environment with opportunities for professional development.
- Why this job: Be at the forefront of innovative medical treatments and make a real difference.
- Qualifications: 7 years in data management with strong project leadership skills.
The predicted salary is between 51750 - 63250 £ per year.
RESPONSIBILITIES
- Serve as primary point of contact for customer on data management deliverables
- Manage multiple large studies or program of studies (possibly global)
- Provide leadership and senior support to DTLs on multiple large global programs of global studies
- Provide project management expertise working with customer data managers, key decision makers, and internal team members to manage continuous process improvements, issue escalation, workload projections, and provide technical expertise
- Lead direct negotiations with customer, e. g., timelines, financial, process, resources
- Meet with Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables
- Independently manage DM service delivery with comprehensive DM process and technical expertise in executing projects
- Serve as the escalation point for unresolved data issues
- Ensure appropriate resources are assigned to meet project deliverables
- Create and/or review and sign-off on all data management plan (DMP) documents
- Manage service performance and provide leadership to identify root causes of issues and implement remedial actions
- Serve as Subject Matter Expert (SME)
- Provide leadership and expertise in a specific CDM task or technology
- Independently manage SOW/budget
- Independently bring process improvements and solutions to the CDM team/CDM department
- Lead a focus team or global or local best practice team
- Provide review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions
- REQUIRED KNOWLEDGE, SKILLS AND ABILITIES
- Previous experience and proven competence in managing delivery of multiple global trials through full DM life-cycle (i. e. large trials of at least 1000 patients)
- Demonstrated expert data management skills and advanced knowledge of the data management process (e. g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation)
- Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently
- Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology
- Knowledge of operating procedures and work instructions and the ability to apply them in practice
- Knowledge of Good Clinical Practices and relevant regulatory guidelines
- Excellent communication, interpersonal, customer service, and teamwork skills
- Excellent organizational and problem-solving skills
- Excellent project management skills
- Ability to work independently
- Comprehensive understanding of clinical drug development process
- Ability to establish and maintain effective working relationships with co-workers, managers and customers
- MINIMUM REQUIRED EDUCATION AND EXPERIENCE
- Bachelor’s Degree, or educational equivalent, in health, clinical, biological or mathematical sciences, or related field
- Around 7 years direct Data Management experience, including 5 or more years as a CDM project lead; or equivalent combination of education, training and experience
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.
Snr 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 Snr 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!
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✨Leverage Professional Networks
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 Snr 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 Snr 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.