At a Glance
- Tasks: Develop and implement programming solutions for clinical trial data analysis.
- Company: Join ICON plc, a leading healthcare intelligence and clinical research organisation.
- Benefits: Enjoy competitive salary, health insurance, flexible benefits, and global support programmes.
- Why this job: Make a real impact on innovative treatments while working in a diverse and inclusive team.
- Qualifications: Advanced degree in relevant fields and experience in programming for clinical trials required.
- Other info: ICON values inclusion and encourages all qualified applicants to apply.
The predicted salary is between 43200 - 72000 £ per year.
Senior Clinical Data Science Programmer
ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise.
What You Will Be Doing:
- Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials.
- Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process.
- Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports.
- Providing guidance on programming best practices, coding standards, and data quality control measures.
- Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies.
Your Profile:
- Advanced degree in a relevant field such as computer science, statistics, or life sciences.
- Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python.
- Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment.
- Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes.
#LI-RD1
What ICON can offer you:
Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
- Various annual leave entitlements
- A range of health insurance offerings to suit you and your family’s needs.
- Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
- Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being.
- Life assurance
- Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here
Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here to apply #J-18808-Ljbffr
Senior Clinical Data Science Programmer employer: ICON plc
Contact Detail:
ICON plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Clinical Data Science Programmer
✨Tip Number 1
Familiarise yourself with the latest programming languages and tools relevant to clinical data science, such as SAS, R, and Python. This will not only enhance your skill set but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the clinical data science community. Attend industry conferences, webinars, or local meetups to connect with others in the field. This can lead to valuable insights and potential referrals for job opportunities.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you successfully developed programming solutions for clinical trials. Be ready to discuss these experiences during interviews to highlight your expertise.
✨Tip Number 4
Research ICON plc’s recent projects and initiatives in clinical research. Understanding their mission and values will help you tailor your conversations and show how your goals align with theirs, making you a more attractive candidate.
We think you need these skills to ace Senior Clinical Data Science Programmer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in programming for clinical trials, particularly with languages like SAS, R, or Python. Emphasise your problem-solving skills and any collaborative projects you've worked on.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific examples of how your skills align with the responsibilities outlined in the job description, such as developing programming solutions or collaborating with data scientists.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, especially those related to data analysis and reporting. Highlight any experience with statistical datasets and coding standards, as these are crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. Attention to detail is key in this field, so ensure your application reflects that quality.
How to prepare for a job interview at ICON plc
✨Showcase Your Programming Skills
Be prepared to discuss your experience with programming languages like SAS, R, or Python. Bring examples of past projects where you developed programming solutions for clinical trials, highlighting your problem-solving skills and attention to detail.
✨Understand the Clinical Trial Process
Familiarise yourself with the clinical trial process and how data science fits into it. This will help you demonstrate your knowledge during the interview and show that you can effectively collaborate with clinical data scientists and biostatisticians.
✨Emphasise Collaboration
Since the role involves working with diverse teams, be ready to share examples of how you've successfully collaborated in a fast-paced environment. Highlight your communication skills and how you've influenced outcomes in previous roles.
✨Stay Updated on Industry Trends
Research recent advancements in programming languages and data management tools relevant to clinical data science. Being knowledgeable about current trends will not only impress your interviewers but also show your commitment to continuous learning and operational efficiency.