At a Glance
- Tasks: Join a dynamic team as a Senior Statistical Programmer, working on innovative clinical trials.
- Company: Cytel is a leading pharmaceutical company focused on advancing patient treatment through data science.
- Benefits: Enjoy remote work flexibility, continuous training, and a supportive environment for growth.
- Why this job: Be part of groundbreaking projects that impact patient care while collaborating with diverse teams.
- Qualifications: Requires a degree in Statistics or related field and 7+ years of SAS programming experience.
- Other info: Ideal for those passionate about data analysis in the pharmaceutical industry.
The predicted salary is between 36000 - 60000 £ per year.
Senior Statistical Programmer FSP (with R)
Senior Statistical Programmer FSP (with R)
1 day ago Be among the first 25 applicants
Direct message the job poster from Cytel
JOB DESCRIPTION
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you\’ll be at the heart of our client\’s innovation. As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
Sponsor-dedicated
JOB DESCRIPTION
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you\’ll be at the heart of our client\’s innovation. As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
Position Overview
As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. This role can be performed as fully remote.
Our values
- We believe in applying scientific rigor to reveal the full promise inherent in data.
- We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
- We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
- We prize innovation and seek intelligent solutions using leading-edge technology.
Responsibilities
How you will contribute:
- Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming
- Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs)
- Production and QC / validation programming
- Generating complex ad-hoc reports utilizing raw data
- Applying strong understanding/experience of Efficacy analysis
- Creating and reviewing submission documents and eCRTs
- Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries
- Performing lead duties when called upon
- Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.
- Being adaptable and flexible when priorities change
Qualifications
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
- Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc.
- At least 7 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
- Study lead experience, preferably juggling multiple projects simultaneously preferred.
- Strong SAS data manipulation, analysis and reporting skills.
- Good working knowledge of R and have applied it in clinical trial analysis.
- Solid experience implementing the latest CDISC SDTM / ADaM standards.
- Strong QC / validation skills.
- Good ad-hoc reporting skills.
- Proficiency in Efficacy analysis.
- Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials’ data.
- Submissions experience utilizing define.xml and other submission documents.
- Experience supporting immunology, respiratory or oncology studies would be a plus.
- Excellent analytical & troubleshooting skills.
- Ability to provide quality output and deliverables, in adherence with challenging timelines.
- Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.
#CYTELINT
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research, Analyst, and Information Technology
-
Industries
Pharmaceutical Manufacturing
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Senior Statistical Programmer FSP (with R) employer: Cytel
Contact Detail:
Cytel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistical Programmer FSP (with R)
✨Tip Number 1
Familiarise yourself with the latest CDISC SDTM and ADaM standards, as these are crucial for the role. Being able to demonstrate your knowledge in these areas during discussions can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with SAS programming and R in your conversations. Be prepared to discuss specific projects where you've successfully applied these skills, especially in clinical trial data analysis.
✨Tip Number 3
Showcase your ability to work in a globally dispersed team. Share examples of how you've effectively collaborated with cross-functional teams, as this is essential for the role's success.
✨Tip Number 4
Prepare to discuss your approach to quality control and validation programming. Providing concrete examples of how you've ensured high-quality outputs in previous roles will demonstrate your attention to detail and commitment to excellence.
We think you need these skills to ace Senior Statistical Programmer FSP (with R)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS programming and clinical trial data. Emphasise your familiarity with CDISC standards, particularly SDTM and ADaM, as well as any relevant projects you've led.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your ability to perform data manipulation and analysis, and how you align with Cytel's values of innovation and collaboration.
Showcase Relevant Skills: Clearly outline your skills in R and SAS programming within your application. Provide examples of how you've applied these skills in previous roles, especially in relation to clinical trials and efficacy analysis.
Highlight Teamwork and Adaptability: Cytel values collaboration and flexibility. Include examples in your application that showcase your ability to work effectively in a team and adapt to changing priorities, which is crucial for this role.
How to prepare for a job interview at Cytel
✨Showcase Your SAS Skills
Make sure to highlight your advanced SAS programming skills during the interview. Be prepared to discuss specific projects where you've successfully manipulated and analysed clinical trial data, as this is crucial for the role.
✨Demonstrate Knowledge of CDISC Standards
Familiarity with CDISC SDTM and ADaM standards is essential. Be ready to explain how you've implemented these standards in past projects, as this will show your understanding of industry requirements.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and reporting. Brush up on your knowledge of efficacy analysis and be prepared to discuss how you approach complex data challenges.
✨Emphasise Team Collaboration
Since the role involves working within cross-functional teams, share examples of how you've successfully collaborated with others in previous roles. Highlight your adaptability and willingness to support team goals.