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- Tasks: Lead the design and development of clinical data programming solutions for innovative research.
- Company: Join ICON plc, a leading healthcare intelligence and clinical research organisation.
- Benefits: Enjoy competitive salary, health insurance, flexible benefits, and work-life balance.
- Other info: Inclusive culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact in clinical trials and shape the future of healthcare.
- Qualifications: Bachelor’s degree in relevant field and strong programming experience with SAS, R, or Python.
The predicted salary is between 60000 - 80000 £ per year.
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 Lead Clinical Data Science Programmer to join our diverse and dynamic team. As a Lead Clinical Data Science Programmer at ICON, you will play a key role in designing and developing clinical data solutions, ensuring the efficient handling, analysis, and reporting of complex clinical trial data. You will collaborate with cross-functional teams to drive data-driven insights that support the advancement of cutting-edge therapies and innovative clinical research.
What You Will Be Doing:
- Lead the design, development, and validation of clinical data programming solutions across CDMS, data ingestion, and analytics systems.
- Oversee the end-to-end SDLC, ensuring high-quality, compliant, and scalable data deliverables.
- Act as the primary programming contact during study setup and delivery, collaborating with cross-functional teams and stakeholders.
- Program and review datasets, data transfers, and analytics outputs, ensuring data quality, integrity, and consistency.
- Identify and mitigate data and project risks, supporting timely and accurate study delivery.
- Serve as Programmer Lead for studies, overseeing programming deliverables and providing technical direction.
- Mentor junior programmers and support knowledge sharing and best practices.
Your Profile:
- Bachelor’s or advanced degree in computer science, biostatistics, data science, or a related field.
- Strong experience in clinical data programming with SAS, R, or Python.
- In-depth knowledge of CDMS/EDC systems, data validation, and clinical trial processes.
- Understanding of CDISC standards (SDTM, ADaM) and SDLC.
- Strong problem-solving, communication, and stakeholder management skills.
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, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised 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, subsidised travel passes, health assessments, among others.
At ICON, inclusion and 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, colour, 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.
Lead Clinical Data Science Programmer in Swansea employer: IRE
Contact Detail:
IRE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Clinical Data Science Programmer in Swansea
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical data science field. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings at ICON!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects, especially those using SAS, R, or Python. 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 knowledge of CDISC standards and clinical trial processes. Practice common interview questions related to data programming and think of examples that highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our diverse and dynamic team at ICON.
We think you need these skills to ace Lead Clinical Data Science Programmer in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Clinical Data Science Programmer role. Highlight your experience with clinical data programming and any relevant tools like SAS, R, or Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical data science and how you can contribute to our mission at ICON. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you’ve tackled challenges in previous roles. We value strong problem-solving skills, so share those experiences that demonstrate your ability to overcome obstacles in clinical data programming.
Apply Through Our Website: We encourage you to apply directly through our careers site. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our awesome benefits!
How to prepare for a job interview at IRE
✨Know Your Data Inside Out
As a Lead Clinical Data Science Programmer, you’ll need to demonstrate your expertise in clinical data programming. Brush up on your knowledge of SAS, R, or Python, and be ready to discuss specific projects where you've applied these skills. Prepare examples that showcase your ability to handle complex datasets and ensure data quality.
✨Understand the SDLC and CDISC Standards
Familiarise yourself with the Software Development Life Cycle (SDLC) and CDISC standards like SDTM and ADaM. Be prepared to explain how you’ve implemented these in past roles. This will show that you not only understand the technical aspects but also the regulatory requirements that come with clinical trials.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior programmers and leading projects, think of examples where you’ve successfully led a team or project. Highlight your communication and stakeholder management skills, as these are crucial for collaborating with cross-functional teams.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of challenges you’ve faced in previous roles related to data integrity or project risks, and prepare to discuss how you identified and mitigated these issues. This will demonstrate your proactive approach and critical thinking skills.