At a Glance
- Tasks: Lead programming for global oncology trials, ensuring quality and compliance.
- Company: Join a leading pharmaceutical company dedicated to life-changing therapies.
- Benefits: 100% remote work option, competitive salary, and professional growth opportunities.
- Why this job: Make a real impact on cancer treatments and improve patient lives worldwide.
- Qualifications: 4+ years in oncology trials, SAS programming expertise, and strong analytical skills.
- Other info: Collaborative environment with a focus on innovation and process improvement.
The predicted salary is between 36000 - 60000 Β£ per year.
As a Senior or Principal Statistical Programmer in our sponsor-dedicated Flexible Solutions business unit, you will be central to the successful delivery of complex global oncology clinical trials (Phases I-III) for some of the world\βs most renowned and innovative pharmaceutical companies.
In this role, you will contribute to the development of new and life-changing oncology therapies by developing and validating SAS programs for data analysis and reporting, supporting submissions, regulatory responses, publications, and post-hoc requests.
Your expertise will directly impact the advancement of oncology treatments and the lives of thousands of patients around the world.
You can be 100% home-based, or if you prefer, work from one of our local offices in your home country.
Your Responsibilities
- Perform programming activities for oncology clinical trials, ensuring quality, accuracy, and compliance with study timelines and regulatory standards.
- Review SAPs and TFL shells from a programming perspective, providing technical input to optimize oncology analyses.
- Advise on the design and development of complex TFL shells and statistical outputs for oncology studies.
- Develop and/or lead the creation of specifications for SDTM and ADaM datasets.
- Develop and maintain SAS programs to create SDTM and ADaM datasets and generate Tables, Figures, and Listings (TFLs); perform thorough quality control (QC) checks.
- Produce and validate Define.xml/PDFs, Analysis Results Metadata (ARM), annotated CRFs, and Reviewers\β Guides to support SDTM and ADaM submissions.
- Contribute to the preparation of regulatory submission packages and responses to regulatory and client audits.
- Identify, propose, and implement process improvements to enhance programming efficiency, quality, and standardization.
- Stay up to date on industry standards, global regulatory requirements, Fortrea SOPs, and CDISC developments relevant to oncology data.
Your Profile
- Degree in a relevant field such as Mathematics, Life Sciences, Statistics, or Computer Science.
- Equivalent vocational training and/or significant professional experience in clinical statistical programming may be considered.
- Minimum of 4 years\β hands-on experience in oncology clinical trials is required.
- Proven experience with SAS programming (Base SAS, SAS Macros, SAS/STAT) and ability to debug complex programs.
- Strong practical knowledge of CDISC standards (SDTM, ADaM) and experience generating safety and efficacy reporting outputs for Phase III oncology studies.
- Experience with regulatory submission deliverables, including Define.xml, ARM, and reviewers\β guides.
- Strong organizational skills with an autonomous yet collaborative working style.
- A curious and analytical mindset, with a keen eye for detail and quality.
- Business fluency in English, both spoken and written.
Learn more about our EEO & Accommodations request here.
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Senior or Principal Statistical Programmer - ONCOLOGY - Sponsor dedicated employer: Fortrea
Contact Detail:
Fortrea Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior or Principal Statistical Programmer - ONCOLOGY - Sponsor dedicated
β¨Tip Number 1
Network like a pro! Reach out to professionals in the oncology field on LinkedIn or at industry events. A friendly chat can lead to opportunities that arenβt even advertised yet.
β¨Tip Number 2
Show off your skills! Prepare a portfolio of your SAS programming projects and any relevant analyses you've done. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to oncology trials and SAS programming. We recommend doing mock interviews with friends or mentors to boost your confidence.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets noticed. Plus, youβll find all the latest roles tailored to your expertise in oncology programming.
We think you need these skills to ace Senior or Principal Statistical Programmer - ONCOLOGY - Sponsor dedicated
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the role of Senior or Principal Statistical Programmer. Highlight your experience in oncology clinical trials and your SAS programming skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about oncology and how your skills can contribute to our mission. Keep it concise but impactful β we love a good story!
Showcase Relevant Experience: When detailing your experience, focus on specific projects or achievements related to oncology trials. Mention any regulatory submissions you've been involved in, as this will resonate with us and show your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy β just a few clicks and youβre done!
How to prepare for a job interview at Fortrea
β¨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills, especially Base SAS and SAS Macros. Be prepared to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
β¨Understand CDISC Standards
Familiarise yourself with CDISC standards like SDTM and ADaM. During the interview, be ready to explain how you've applied these standards in past oncology clinical trials and how they impact data analysis and reporting.
β¨Showcase Your Problem-Solving Skills
Think of examples where you've identified process improvements or optimised programming efficiency. Highlight your analytical mindset and how it has led to successful outcomes in your previous roles.
β¨Prepare for Regulatory Discussions
Since regulatory submissions are a key part of this role, review your experience with Define.xml, ARM, and reviewers' guides. Be prepared to discuss how you've contributed to these deliverables and any lessons learned from audits or client interactions.