At a Glance
- Tasks: Design and develop statistical programs for clinical research analysis and reporting.
- Company: Leading organisation in data analytics and biostatistics.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Join a dynamic team with opportunities for innovation and career growth.
- Why this job: Make a real impact in clinical research with your programming skills.
- Qualifications: Experience in statistical programming and strong analytical skills.
The predicted salary is between 40000 - 50000 € per year.
The Experienced Statistical Programmer is an individual contributor with in-depth knowledge of statistical programming methods, languages and data structures who supports data analysis and reporting activities within the Statistical Programming functional area in accordance with departmental processes and procedures. This position is accountable for the development, verification, and documentation of code used for the analysis and reporting of clinical data and is responsible for the timeliness and the quality of assigned deliverables supporting clinical projects and submissions. This position is a member of a programming team, capable of supporting programming activities of medium to high complexity with minimal guidance.
Role And Responsibilities
- Designs and develops statistical programs in support of clinical research analysis and reporting activities.
- Performs appropriate quality control and verification in support of assigned clinical research analysis and reporting activities.
- Maintains statistical programming documentation as appropriate.
- Completes programming tasks of medium to high complexity with high quality and timeliness of deliverables.
- Performs activities in compliance with departmental processes and procedures.
- Collaborates effectively with statistical programming and cross-functional team members and counterparts to achieve project goals.
- Critically reviews requirements and data, identifies gaps, proposes solutions, and applies expertise to improve efficiency of programming tasks and/or improve overall quality of programming deliverables.
- Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position.
- May contribute to departmental innovation and process improvement projects.
Preferred Skills
- Advanced Analytics
- Analytical Reasoning
- Biological Sciences
- Biostatistics
- Clinical Trials
- Data Modeling
- Data Privacy Standards
- Data Quality
- Data Savvy
- Detail-Oriented
- Good Clinical Practice (GCP)
- Report Writing
- Research Ethics
- Researching
- Statistical Analysis Systems (SAS) Programming
- Statistics
- Technologically Savvy
Experienced Stat Programmer employer: Johnson & Johnson Innovative Medicine
As an employer, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. Located in High Wycombe, Buckinghamshire, we offer competitive benefits, continuous professional development opportunities, and a commitment to maintaining high standards in clinical research. Join us to be part of a dynamic team where your contributions directly impact the quality of clinical data analysis and reporting.
Contact Detail:
Johnson & Johnson Innovative Medicine Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Experienced Stat Programmer
✨Tip Number 1
Network like a pro! Reach out to your connections in the biostatistics and programming fields. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical programming projects. This could be anything from SAS scripts to data visualisations that demonstrate your analytical prowess.
✨Tip Number 3
Prepare for interviews by brushing up on common programming questions and case studies related to clinical data analysis. Practise explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed directly by our hiring team.
We think you need these skills to ace Experienced Stat Programmer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Experienced Stat Programmer role. Highlight your experience with statistical programming methods and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Skills:In your application, don’t just list your skills—show us how you’ve used them! Provide examples of your work in biostatistics or clinical trials, and mention any programming languages you're proficient in, especially SAS.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Make sure to proofread for any typos or errors before hitting send!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status directly. We can’t wait to hear from you!
How to prepare for a job interview at Johnson & Johnson Innovative Medicine
✨Know Your Stats
Brush up on your statistical programming methods and languages, especially SAS. Be ready to discuss specific projects where you applied these skills, as this will show your depth of knowledge and experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified gaps in data or processes and proposed solutions. This is crucial for demonstrating your analytical reasoning and ability to improve efficiency in programming tasks.
✨Understand the Compliance Landscape
Familiarise yourself with Good Clinical Practice (GCP) and data privacy standards. Being able to discuss how you ensure compliance in your work will highlight your attention to detail and commitment to quality.
✨Collaborate Like a Pro
Think of instances where you've worked effectively within a team, especially in cross-functional settings. Highlighting your collaboration skills will show that you're not just a great programmer but also a team player who can contribute to project goals.
