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- Tasks: Lead programming activities for complex clinical trials and mentor junior team members.
- Company: Join a global CRO working with a top pharmaceutical company.
- Benefits: 100% remote work, competitive salary, and opportunities for career growth.
- Why this job: Make a real impact in the pharmaceutical industry while developing your skills.
- Qualifications: Degree in relevant field or equivalent experience in statistical programming.
- Other info: Collaborative environment with a focus on quality and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Overview
As a Lead Statistical Programmer in our sponsor-dedicated Flexible Solutions business unit, you are central to the successful delivery of complex projects for a renowned, innovative and global top pharmaceutical company.
You will be involved in liaising with the entire study team as needed, including Clinical, Medical Writing, Safety and Biometrics. It is a great opportunity to see more how this works from a Big Pharma perspective, whilst still being part of a global CRO with opportunity for future career growth.
You can be 100% home-based in EMEA or, if you prefer, you can work from our local office in your home country.
Responsibilities
- Plan, execute and oversee all programming activities on a study, including but not limited to: resource estimation, working within budget, meeting timelines, maximizing quality, interaction with other departments, etc.
- Oversee SDTM, ADaM and TLF development, perform Senior Review of outputs.
- Liaise with other Sponsor departments for additional programming needs, as required to support publications, medical writing and additional development needs and analyses.
- Support/oversee submission activities (especially in late phase team).
- Ensure all activities are conducted efficiently, with appropriate set-up of needed tools and macros, prioritizing quality at all times.
- Mentor less-experienced team members in best practices around SDTMs, ADaMs and TFLs while ensuring adherence to department standards and processes.
Your Profile
- Ideally, a degree in a relevant field such as mathematics, life sciences, statistics, computer sciences, etc.
- In lieu of the above: professional experience in statistical programming within clinical trials in a biotech, CRO or pharmaceutical company.
- Solid experience with complex clinical trials (minimum 5 years) and the corresponding datasets’ content (safety and efficacy) and endpoints.
- Previous Lead experience preferred.
- Ideally you will have knowledge in all aspects of clinical trials, from initial study set-up to study completion, with an understanding of the roles and responsibilities of all related disciplines, e.g. Biostatistics and Clinical Data Management.
- Expert knowledge of base SAS, SAS macros, SAS/STAT and in debugging SAS programs.
- Broad knowledge of all CDISC requirements related to SDTM and ADaM, including define.xml, Reviewer\\\’s Guides and submission standards.
- An autonomous, collaborative work style, a curious mind and a keen attention to detail.
- Fluency in English – both verbal and written – is a must.
Learn more about our EEO & Accommodations request here
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Lead Statistical Programmer - Sponsor Dedicated employer: Fortrea
Contact Detail:
Fortrea Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Statistical Programmer - Sponsor Dedicated
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in pharma or CROs. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in statistical programming. We want you to shine when discussing SDTM, ADaM, and TLF development!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your career goals. Check out our website for openings that match your expertise in clinical trials and programming. We’ve got some great opportunities waiting for you!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’re the perfect fit for the Lead Statistical Programmer position.
We think you need these skills to ace Lead Statistical Programmer - Sponsor Dedicated
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Statistical Programmer role. Highlight your programming expertise, especially with SAS and clinical trials, to show us you’re the right fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about statistical programming and how your background aligns with our needs. Be genuine and let your personality come through.
Showcase Your Experience: When detailing your experience, focus on specific projects where you’ve led programming activities or mentored others. We want to see how you’ve contributed to successful outcomes in complex clinical trials.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of your journey with StudySmarter!
How to prepare for a job interview at Fortrea
✨Know Your Stuff
Make sure you brush up on your knowledge of SDTM, ADaM, and TLF development. Be ready to discuss your experience with complex clinical trials and how you've managed programming activities in the past. This will show that you’re not just familiar with the terms but can apply them effectively.
✨Showcase Your Leadership Skills
As a Lead Statistical Programmer, you'll need to demonstrate your ability to mentor and guide less-experienced team members. Prepare examples of how you've successfully led teams or projects, highlighting your collaborative work style and how you prioritise quality.
✨Understand the Bigger Picture
Familiarise yourself with the roles of other departments like Clinical, Medical Writing, and Safety. Being able to articulate how you would liaise with these teams will show that you understand the importance of collaboration in delivering successful projects.
✨Prepare for Technical Questions
Expect to be asked about your technical skills, especially regarding SAS programming and debugging. Brush up on your knowledge of CDISC requirements and be ready to discuss how you’ve applied this knowledge in previous roles. Confidence in your technical abilities will set you apart.
