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- Aufgaben: Join a dynamic team to develop programming specifications and support clinical trials.
- Arbeitgeber: Optimus Life Sciences partners with a leading pharmaceutical company in Switzerland.
- Mitarbeitervorteile: Enjoy a hybrid work model and the flexibility of freelance contracting.
- Warum dieser Job: Make an impact in the pharma industry while collaborating with experts across Europe.
- Gewünschte Qualifikationen: Master’s or PhD in Statistics/Biostatistics; strong SAS and R skills required.
- Andere Informationen: 12-month contract with opportunities for professional growth in a collaborative environment.
Das voraussichtliche Gehalt liegt zwischen 80000 - 120000 € pro Jahr.
Statistical Programmer | Switzerland | Hybrid | Freelance/Contract
Contract Statistical Programmer
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 tool
- 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
Other
Industries
Pharmaceutical Manufacturing
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Statistical Programmer | Switzerland | Hybrid | Freelance/Contract Arbeitgeber: Optimus Life Sciences
Kontaktperson:
Optimus Life Sciences HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Statistical Programmer | Switzerland | Hybrid | Freelance/Contract
✨Tip Number 1
Make sure to highlight your experience with FDA submissions in your conversations. This is a key requirement for 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
Stay updated on the latest programming standards and regulatory requirements in the pharma sector. Being knowledgeable about current trends will show your commitment to the field and enhance your discussions during interviews.
✨Tip Number 4
Prepare to discuss specific projects where you've used SAS and R for clinical trial reporting. Having concrete examples ready will demonstrate your hands-on experience and problem-solving skills to potential employers.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Statistical Programmer | Switzerland | Hybrid | Freelance/Contract
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in statistical programming, particularly with SAS and R. Mention any specific projects or roles where you contributed to FDA submissions or worked on clinical trials.
Showcase Technical Skills: Clearly outline your technical skills related to SAS analytic tools and your understanding of programming standards. Include any relevant certifications or training that demonstrate your expertise.
Tailor Your CV: Customize your CV to align with the job description. Focus on your educational background in Statistics or Biostatistics and highlight any managerial or project lead experience in a pharmaceutical setting.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for this role. Discuss your passion for the pharmaceutical industry and how your skills can contribute to the success of the projects at Optimus Life Sciences.
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
Familiarize yourself with the regulatory requirements for clinical trials, particularly those related to FDA submissions. Demonstrating your knowledge in this area will show that you are well-prepared for the role.
✨Collaborative Mindset
Since the 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 in cross-functional teams in the past.
✨Prepare Questions
Have thoughtful questions ready about the company's projects and their approach to statistical programming. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
