Auf einen Blick
- Aufgaben: Join us as a Statistical Programmer and dive into data migration and analysis for clinical trials.
- Arbeitgeber: Cytel is a leader in biostatistics and operations research for the life sciences industry.
- Mitarbeitervorteile: Enjoy significant professional growth and a collaborative work environment.
- Warum dieser Job: Make an impact in clinical development while working with talented professionals.
- Gewünschte Qualifikationen: Bachelor's or master's in Computer Science or Statistics with 3 years of SAS programming experience required.
- Andere Informationen: Cytel values diversity and is an Equal Employment/Affirmative Action Employer.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Cytel provides unrivaled biostatistics and operations research knowledge to our customers in the life sciences industries in the form of both software and services. At Cytel, we work hard to create successful careers with significant professional growth for our employees, as a result of which they work hard to make Cytel successful. Cytel is a place where talent, experience and integrity come together to advance the state of clinical development.
Working under the direction of the Principal Programmer or under the Senior Statistical Programmer, the statistical programmer conducts programming activities for a trial, early phase project, indication, or publication activities.
- Ability to work on data migration from legacy datasets to standards such as CDISC or any other client-specific standard.
- Read and understand the program specifications document.
- Prepare SAS analysis datasets, tables, listings, and figures as per specifications.
- Create programs to create graphs and tables required in CSRs, safety reports, efficacy reports, etc. ensuring on-time quality delivery.
- Validate and transform datasets as per client assignment specifications.
- Validate tables, listings, and figures as per client assignment specifications.
- Coordinate with the client and US team for clarity of specifications, data issues, outliers, reviews, schedules, etc.
- Contribute to the organization's recruitment process by identifying needs and required skill sets of resources and conducting interviews to hire appropriate resources.
- Perform all the above tasks using standard operating procedures (SOPs) as defined in the Quality Management System or the respective client(s) as applicable.
Qualifications and Experience:
- Bachelor's or master's degree in Computer Science, Statistics, or related health science field with 3 years of SAS programming experience with clinical trial data.
- CDISC experience is required.
- Well conversant with regulatory requirements and drug development processes.
- Good understanding of the Clinical trial domain and good SAS programming skills.
- Ability to work independently.
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.
Statistical Programmer Arbeitgeber: Cytel Software Corporation
Kontaktperson:
Cytel Software Corporation HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Statistical Programmer
✨Tip Number 1
Make sure to familiarize yourself with CDISC standards, as this is a key requirement for the Statistical Programmer role. Understanding these standards will not only help you in your application but also demonstrate your commitment to the field.
✨Tip Number 2
Brush up on your SAS programming skills, especially in the context of clinical trial data. Being able to showcase your proficiency in SAS during interviews can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the biostatistics and clinical trial domains. Engaging with others in the industry can provide insights into the company culture at Cytel and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with regulatory requirements and drug development processes. Being able to articulate your understanding of these areas will show that you are well-prepared for the challenges of the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Statistical Programmer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Statistical Programmer position. Familiarize yourself with terms like CDISC, SAS programming, and clinical trial processes.
Tailor Your CV: Customize your CV to highlight relevant experience in SAS programming and clinical trials. Emphasize any specific projects or roles that align with the job description provided by Cytel.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for biostatistics and your understanding of the life sciences industry. Mention how your skills and experiences make you a perfect fit for the role at Cytel.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or typos, and ensure that all information is accurate and clearly presented.
Wie du dich auf ein Vorstellungsgespräch bei Cytel Software Corporation vorbereitest
✨Understand the Clinical Trial Domain
Make sure you have a solid grasp of the clinical trial processes and regulatory requirements. This knowledge will help you answer questions confidently and demonstrate your expertise in the field.
✨Showcase Your SAS Programming Skills
Be prepared to discuss your experience with SAS programming, especially in relation to clinical trial data. Highlight specific projects where you've successfully created analysis datasets, tables, and figures.
✨Familiarize Yourself with CDISC Standards
Since CDISC experience is required, ensure you understand these standards thoroughly. Be ready to discuss how you've worked with data migration and compliance with client-specific standards in past roles.
✨Prepare for Technical Questions
Expect technical questions related to programming specifications and data validation. Practice explaining your approach to problem-solving and how you ensure quality delivery in your work.