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- Tasks: Join our team to develop and verify statistical programs for clinical research.
- Company: Be part of Johnson & Johnson, a leader in healthcare innovation and personal solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for innovation and growth.
- Why this job: Make a real impact on health while working with cutting-edge technology and passionate professionals.
- Qualifications: Knowledge of statistical programming methods and languages is essential; experience in data analysis is a plus.
- Other info: This role offers the chance to contribute to meaningful healthcare advancements.
The predicted salary is between 36000 - 60000 £ per year.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
The Associate Statistical Programmer is an individual contributor with knowledge of statistical programming methods, languages and data structures who supports data analysis and reporting activities within the Statistical Programming functional area in compliance 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 quality of assigned deliverables supporting clinical projects and submissions. This position is a member of a programming team, capable of supporting programming activities of low to medium complexity with appropriate guidance. In addition, the Associate Statistical Programmer may contribute to departmental innovation and process improvement projects.
- 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 low to medium complexity with high quality and timeliness of deliverables.
- Performs activities in accordance with departmental processes and procedures.
- Collaborates effectively with statistical programming and cross-functional team members and counterparts to achieve project goals.
Understands and applies Johnson & Johnson’s Credo and Leadership Imperatives in day-to-day interactions with the team.
Contact Detail:
Johnson and Johnson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assoc Stat Programmer
✨Tip Number 1
Familiarise yourself with the specific statistical programming languages and tools mentioned in the job description, such as SAS or R. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical skills during interviews.
✨Tip Number 2
Network with current or former employees of Johnson & Johnson, especially those in the Data Analytics and Biostatistics fields. They can provide valuable insights into the company culture and the specific expectations for the Associate Statistical Programmer role.
✨Tip Number 3
Prepare to discuss your previous experiences with clinical data analysis and how you ensured quality control in your programming tasks. Be ready to share specific examples that highlight your problem-solving skills and attention to detail.
✨Tip Number 4
Research Johnson & Johnson’s Credo and Leadership Imperatives thoroughly. Understanding these principles will help you align your responses during the interview and show that you are a good cultural fit for the company.
We think you need these skills to ace Assoc Stat Programmer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of an Associate Statistical Programmer. Familiarise yourself with statistical programming methods and the specific requirements mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in statistical programming and data analysis. Emphasise any previous work with clinical data and your familiarity with programming languages used in this field.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare innovation and how your skills align with Johnson & Johnson's mission. Mention specific examples of your work that demonstrate your ability to contribute to clinical research analysis.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Johnson and Johnson
✨Understand the Role
Make sure you have a solid grasp of what an Associate Statistical Programmer does. Familiarise yourself with statistical programming methods, languages, and data structures relevant to the role. This will help you answer questions confidently and demonstrate your knowledge.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages commonly used in statistical analysis, such as SAS or R. Highlight specific projects where you've applied these skills, and be ready to explain your approach to coding and data analysis.
✨Emphasise Team Collaboration
Since this role involves working within a programming team, share examples of how you've successfully collaborated with others in past projects. Discuss your communication style and how you ensure that everyone is aligned towards project goals.
✨Prepare for Quality Control Questions
Quality control is crucial in statistical programming. Be ready to discuss your methods for verifying and validating your work. Share any experiences where you identified and resolved issues in your programming tasks to ensure high-quality deliverables.
