Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Join a dynamic team to develop programming for clinical trials and regulatory submissions.
- Arbeitgeber: Optimus Life Sciences partners with a leading Swiss pharmaceutical company.
- Mitarbeitervorteile: Gain experience in a collaborative environment with opportunities for professional growth.
- Warum dieser Job: Make an impact in the pharma industry while working on innovative projects across Europe.
- Gewünschte Qualifikationen: Master’s or PhD in Statistics/Biostatistics; strong SAS and R skills required.
- Andere Informationen: Contract position for 12 months, ideal for those passionate about statistical programming.
Das voraussichtliche Gehalt liegt zwischen 80000 - 120000 € pro Jahr.
Statistical Programmer | Switzerland | Pharmaceuticals
Duration: 12 months
About the Client:
Optimus Life Sciences is partnering with one of Switzerland’s largest specialized pharmaceutical companies. Our client is seeking an experienced Statistical Programmer within the pharma industry to support a handful of their projects.
The Contract Statistical Programmer will work closely with statisticians, CDM’s, and programmers in a collaborative and dynamic team. This role involves providing high-level programming expertise for clinical trials and regulatory submissions while contributing to the ongoing development of programming standards.
Key Responsibilities:
- Develop and execute programming specifications for analysis datasets, pooled datasets, and deliverables.
- Perform programming using SAS and R .
- Generate Tables, Listings, and Figures (TLFs ) for clinical trial reporting.
- Provide consultation to statisticians and contribute to the design and analysis of clinical trials.
- Ensure compliance with programming standards and regulatory submission requirements (particularly FDA submissions ).
- Report and document statistical deliverables for clinical trials.
- Work across multiple projects, collaborating with a team distributed across Switzerland, Germany, and the UK.
Technical Skills:
- Strong SAS and R programming skills with a good understanding of SAS analytic tools.
- Strong experience with FDA Submissions .
- Experience in Phase 1-4 clinical trials and regulatory submissions.
- Knowledge of real-world data types (claims and EMR) and common data models.
Qualifications and Experience:
- Education: Master’s or PhD in Statistics, Biostatistics, Mathematics, or a related field.
- Experience:
- Proven track record in FDA submissions and statistical deliverables.
- Managerial and project lead experience in a pharmaceutical environment.
- Strong understanding of SAS analytic tools (SAS/BASE , SAS/STAT , and SAS/GRAPH ).
- Knowledge of the pharmaceutical and regulatory environment.
If you think this is the right opportunity for you, don’t hesitate to apply!
Seniority level:
Mid-Senior level
Employment type:
Contract
Job function:
Science and Consulting
Industries:
Pharmaceutical Manufacturing
#J-18808-Ljbffr
Statistical Programmer | Switzerland | Pharmaceuticals Arbeitgeber: Optimus Life Sciences
Kontaktperson:
Optimus Life Sciences HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Statistical Programmer | Switzerland | Pharmaceuticals
✨Tip Number 1
Make sure to highlight your experience with FDA submissions in your conversations. This is a crucial aspect of the role, and demonstrating your familiarity with the process can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the pharmaceutical industry, especially those who have worked on clinical trials. They can provide insights and potentially refer you to opportunities within their organizations.
✨Tip Number 3
Familiarize yourself with the latest programming standards and tools used in clinical trials. Being up-to-date will not only boost your confidence but also show your commitment to the field during discussions.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully collaborated with statisticians and other programmers. Sharing concrete examples will demonstrate your teamwork skills and technical expertise.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Statistical Programmer | Switzerland | Pharmaceuticals
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with SAS and R programming, particularly in the context of FDA submissions and clinical trials. Use specific examples from your past work to demonstrate your expertise.
Tailor Your CV: Customize your CV to reflect the key responsibilities and technical skills mentioned in the job description. Focus on your educational background in Statistics or Biostatistics and any managerial experience you have in a pharmaceutical setting.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your motivation for applying and how your skills align with the needs of the client. Mention your collaborative experience and ability to work across multiple projects, as this is crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials to ensure there are no errors. A polished application reflects your attention to detail, which is essential in the statistical programming field.
Wie du dich auf ein Vorstellungsgespräch bei Optimus Life Sciences vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SAS and R programming in detail. Highlight specific projects where you utilized these skills, especially in the context of FDA submissions and clinical trials.
✨Understand the Regulatory Environment
Demonstrate your knowledge of the pharmaceutical and regulatory landscape. Be ready to talk about your experience with compliance and how you've ensured adherence to programming standards in past roles.
✨Collaborative Mindset
Since this role involves working closely with statisticians and other programmers, emphasize your ability to collaborate effectively in a team setting. Share examples of how you've successfully worked across different teams or locations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples from your past work where you had to design analysis datasets or generate TLFs under tight deadlines.
