Senior Clinical Programmer (Python)

Senior Clinical Programmer (Python)

Full-Time 50000 - 65000 € / year (est.) No home office possible
IQVIA Laboratories

At a Glance

  • Tasks: Develop and validate clinical data programs using Python and create insightful visualisations.
  • Company: Join a leading FSP team in the clinical programming field.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with mentorship opportunities and career advancement.
  • Why this job: Make a real impact in healthcare by leveraging your programming skills.
  • Qualifications: Bachelor’s or Master’s in relevant fields with strong Python and data visualisation experience.

The predicted salary is between 50000 - 65000 € per year.

We are seeking a highly skilled and experienced Clinical Programmer (Python) to join our FSP Team.

Key Responsibilities

  • Develop, test, and validate clinical data programs and applications.
  • Ensure compliance with CDISC SDTM standards for clinical data.
  • Utilize visualization tools such as Sport fire 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.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field.
  • Extensive experience in clinical data programming and Data Visualization.
  • Strong experience with Python programming (PySpark, Databricks, pandas, Numpy) is mandatory for this role.
  • Good SDTM Knowledge.
  • Strong SAS/R Programming and SQL expertise.
  • 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.

Senior Clinical Programmer (Python) employer: IQVIA Laboratories

Join our dynamic FSP Team as a Senior Clinical Programmer (Python) and experience a collaborative work culture that prioritises innovation and professional growth. We offer competitive benefits, including opportunities for mentorship and skill development, all within a supportive environment that values your contributions to advancing clinical data solutions. Located in a vibrant area, our company fosters a sense of community and encourages a healthy work-life balance, making it an excellent choice for those seeking meaningful and rewarding employment.

IQVIA Laboratories

Contact Detail:

IQVIA Laboratories Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Clinical Programmer (Python)

Tip Number 1

Network like a pro! Reach out to your connections in the clinical programming field, especially those who work with Python. A friendly chat can lead to insider info about job openings that might not even be advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those related to clinical data programming and visualisation. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with CDISC SDTM standards and how you've tackled programming challenges in the past. Confidence is key!

Tip Number 4

Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our FSP Team. It shows initiative and gives us a chance to see your enthusiasm firsthand.

We think you need these skills to ace Senior Clinical Programmer (Python)

Python Programming
PySpark
Databricks
pandas
Numpy
Clinical Data Programming
Data Visualization

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python and clinical data programming. We want to see how your skills align with the key responsibilities mentioned in the job description, so don’t hold back!

Showcase Your Projects:If you've worked on any relevant projects, especially those involving data visualisation or SDTM standards, make sure to include them. We love seeing practical examples of your work that demonstrate your expertise.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical programming and how you can contribute to our FSP Team. Keep it engaging and personal – we want to get to know you!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at IQVIA Laboratories

Know Your Python Inside Out

Make sure you brush up on your Python skills, especially with libraries like PySpark, pandas, and Numpy. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.

Understand CDISC SDTM Standards

Familiarise yourself with CDISC SDTM standards before the interview. You might be asked about how you've ensured compliance in past projects, so having concrete examples will show that you know your stuff and can apply it in real-world scenarios.

Showcase Your Data Visualisation Skills

Since visualisation tools like Sportfire are part of the role, prepare to discuss how you've used such tools to create insightful data visualisations. Bring along examples or be ready to explain your thought process behind a particular visualisation project.

Highlight Team Collaboration

This role involves working with cross-functional teams, so be prepared to share experiences where you've collaborated effectively. Talk about how you’ve provided mentorship to junior programmers and how you handle programming issues within a team setting.