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- Tasks: Join us as a Statistical Programmer II, developing programming skills and completing tasks under supervision.
- Company: ICON is the world's largest clinical research organisation, driven by healthcare intelligence.
- Benefits: Enjoy competitive salary, diverse benefits, flexible work-life balance, and well-being support for you and your family.
- Why this job: Be part of an innovative, inclusive culture that values diversity and nurtures talent.
- Qualifications: 3+ years in SAS Programming; willingness to learn R; strong programming expertise required.
- Other info: We encourage all applicants to apply, even if unsure about meeting all requirements.
The predicted salary is between 36000 - 60000 £ per year.
As a Statistical Programmer II you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence.
What you will be doing:
- Develop understanding of all applicable policies and procedures
- Completes programming activities under supervision
- Takes responsibility for timely completion of all assigned development tasks
- Understands and applies a basic knowledge of industry standards
You are:
- Having 3+ years of experience in SAS Programming. A willingness to upskill in R is also required
- Able to lead 1 study under supervision
- Able to demonstrate strong programming and domain expertise
- Having the ability to execute a wide range of programming activities with minimal supervision
- Able to identify gaps in current programming best practices and may offer suggestions
- Able to ensure adherence to standards and has an awareness of evolving industry standards
What ICON can offer you:
- Various annual leave entitlements
- A range of health insurance offerings to suit you and your family’s needs
- Competitive retirement planning offerings to maximise 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, diversity, inclusion & belonging are fundamental to our culture and values. Our rich diversity makes us more innovative which helps us better serve our people, patients, customers, and our communities. We're proud of our diverse workforce and the work we’ve done to become a more inclusive organisation. 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 through the form below. 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.
Statistical Programmer II employer: ICON
Contact Detail:
ICON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Programmer II
✨Tip Number 1
Familiarise yourself with the latest industry standards in statistical programming, especially those related to SAS and R. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in your field.
✨Tip Number 2
Network with professionals in the clinical research field, particularly those who work at ICON or similar organisations. Engaging with them on platforms like LinkedIn can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific programming projects you've worked on, highlighting your problem-solving skills and ability to identify gaps in best practices. This will showcase your expertise and readiness to take on responsibilities under supervision.
✨Tip Number 4
Express your willingness to upskill in R during any conversations or interviews. Showing enthusiasm for learning new tools and technologies can set you apart from other candidates and align with ICON's focus on nurturing talent.
We think you need these skills to ace Statistical Programmer II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 3+ years of experience in SAS Programming. Include specific projects or studies you've led, showcasing your programming and domain expertise.
Craft a Strong Cover Letter: In your cover letter, express your willingness to upskill in R and how you can contribute to the team at ICON. Mention your understanding of industry standards and your ability to identify gaps in programming best practices.
Showcase Relevant Skills: Clearly outline your programming skills and any relevant certifications. Emphasise your ability to execute a wide range of programming activities with minimal supervision, as this is crucial for the role.
Highlight Cultural Fit: Demonstrate your alignment with ICON's values of diversity, inclusion, and belonging. Share examples of how you've contributed to a diverse work environment or how you support inclusive practices in your previous roles.
How to prepare for a job interview at ICON
✨Showcase Your SAS Expertise
Make sure to highlight your 3+ years of experience in SAS Programming during the interview. Be prepared to discuss specific projects you've worked on and how you applied your programming skills to solve problems.
✨Demonstrate Willingness to Upskill
Since a willingness to upskill in R is required, express your enthusiasm for learning new programming languages. You might even mention any resources or courses you’ve explored to enhance your R skills.
✨Discuss Leadership Experience
If you've led a study under supervision, be ready to share that experience. Talk about the challenges you faced and how you overcame them, as well as how you ensured adherence to industry standards.
✨Identify Best Practices
Prepare to discuss any gaps you've identified in current programming best practices. Offering suggestions on how to improve these practices can demonstrate your proactive approach and deep understanding of the field.
