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- Tasks: Develop and validate clinical data programs while ensuring compliance with industry standards.
- Company: Join IQVIA, a leading global CRO, dedicated to reshaping healthcare with top pharmaceutical clients.
- Benefits: Enjoy remote work options, great work/life balance, and career advancement opportunities.
- Why this job: Be part of a passionate team influencing the future of medicine in a collaborative environment.
- Qualifications: Bachelor’s or master’s degree in relevant fields with 5+ years in clinical trials and strong Python skills.
- Other info: Work on diverse projects across various therapeutic areas with long-term engagement stability.
The predicted salary is between 36000 - 60000 £ per year.
Why IQVIA This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you a unique opportunity to work on a team where your role is both challenging and rewarding, while working alongside colleagues who are passionate about influencing the future of medicine and advancing therapies. With IQVIA\’s FSP business unit, you become a core part of a dynamic team dedicated to reshaping the future of healthcare. Additional Benefits: Home-based remote work opportunities Great work/life balance Collaborate on projects and innovations with industry leaders in the Pharma and CRO sectors Cohesive team environment fostering a collaborative approach to study work Variety of therapeutic areas, indications and, study phases Job stability; long-term engagements and development opportunities Career advancement opportunities Responsibilities: Develop, test, and validate clinical data programs and applications. Ensure compliance with CDISC SDTM standards for clinical data. Utilize visualization tools such as Spotfire or other similar tools to create insightful data visualizations. Write and maintain Python scripts for data manipulation and analysis. Collaborate with cross-functional teams to support clinical data needs. Provide technical guidance and mentorship to junior programmers. Participate in the development and implementation of data management plans. Troubleshoot and resolve programming issues in a timely manner. Education and Experience: Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field Minimum 5+ years’ hands-on experience in clinical trials or life sciences industry 3+ years’ extensive experience in clinical data programming and Data Visualization using tools such as Python, Spotfire, or similar. Python programming skill is Mandatory. Experience with PySpark, Databricks is preferred. Proficiency in CDISC SDTM standards. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Ability to work independently and manage multiple tasks simultaneously. #J-18808-Ljbffr
Clinical Data Analyst, Clinical Programming, FSP employer: IQVIA Argentina
Contact Detail:
IQVIA Argentina Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Analyst, Clinical Programming, FSP
✨Tip Number 1
Familiarise yourself with CDISC SDTM standards and ensure you can discuss them confidently. This knowledge is crucial for the role, and being able to demonstrate your understanding in conversations will set you apart.
✨Tip Number 2
Brush up on your Python programming skills, especially focusing on data manipulation and analysis. Consider working on personal projects or contributing to open-source projects to showcase your abilities.
✨Tip Number 3
Network with professionals in the clinical data field, particularly those who work with CROs or pharmaceutical companies. Engaging in relevant online forums or attending industry events can help you make valuable connections.
✨Tip Number 4
Prepare to discuss your experience with data visualisation tools like Spotfire. Have examples ready that illustrate how you've used these tools to create impactful data insights in previous roles.
We think you need these skills to ace Clinical Data Analyst, Clinical Programming, FSP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in clinical data programming and data visualisation. Emphasise your proficiency in Python and any experience with CDISC SDTM standards, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the healthcare industry and your desire to work with IQVIA. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to collaborate with cross-functional teams.
Highlight Technical Skills: In your application, clearly outline your technical skills, especially in Python programming and any experience with tools like Spotfire or PySpark. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Showcase Your Teamwork Abilities: Since collaboration is key in this role, include examples of how you've successfully worked in teams. Highlight any mentorship roles you've taken on, as well as your ability to communicate effectively with colleagues from different backgrounds.
How to prepare for a job interview at IQVIA Argentina
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any data visualisation tools like Spotfire. Be prepared to discuss specific projects where you used these skills, as this will demonstrate your hands-on experience and technical proficiency.
✨Understand CDISC SDTM Standards
Since compliance with CDISC SDTM standards is crucial for this role, brush up on these standards before the interview. Being able to articulate your understanding and experience with them will show that you're well-prepared and knowledgeable.
✨Emphasise Team Collaboration
This position involves working closely with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to work in a team environment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of specific challenges you've faced in previous roles and how you resolved them, particularly in clinical data programming or analysis.