Auf einen Blick
- Aufgaben: Provide statistical programming support for EU RWE projects and deliver timely analysis.
- Arbeitgeber: Join Daiichi Sankyo, a global leader in innovative healthcare with over 120 years of experience.
- Mitarbeitervorteile: Enjoy a culture of respect, continuous learning, and opportunities for growth and innovation.
- Warum dieser Job: Make a real impact on patients' lives while collaborating in a diverse and inclusive environment.
- Gewünschte Qualifikationen: MS in Statistics/Biostatistics with 10+ years in pharma; strong skills in SQL, SAS, R, or Python.
- Andere Informationen: Oncology experience preferred; proactive mindset is key!
Das voraussichtliche Gehalt liegt zwischen 72000 - 100000 € pro Jahr.
With over 120 years of experience and more than 17,000 employees in over 20 countries, Daiichi Sankyo is dedicated to discovering, developing, and delivering new standards of care that enrich the quality of life around the world. In Europe, we focus on two areas: The goal of our Specialty Business is to protect people from cardiovascular disease, the leading cause of death in Europe, and help patients who suffer from it to enjoy every precious moment of life. In Oncology, we strive to become a global pharma innovator with competitive advantage, creating novel therapies for people with cancer.
The position: The ideal candidate for this position will provide statistical/data science programming as well as technical support for Daiichi Sankyo's EU RWE projects/initiatives by close collaboration with EU or US based RWE biostatistician and other collaborators. This role will deliver the values through secondary data such as EMR or claims data analysis.
Roles & responsibilities:
- EU RWE Statistical analysis support: Provide programming support for EU RWE project or study to deliver the TLFs on time and support ad-hoc requests.
- Statistical macro: Develop necessary programming macros or tools to effectively support all programming needs. Responsibilities include developing the macros or tools e.g., interactive web based tools such as R Shiny to facilitate programming efficiency, bring innovative ideas/solutions to the projects, supporting the maintenance of pre-existing macros.
- Evaluate, assess, and enhance DSI computing environment system: Assess DSI new computing environment system for programming and analysis efficiency, identify system bug/issue and lead the activity to enhance the system, develop system training materials and work as the SME to support implementation, evaluate, request and approve system upgrades, and propose/develop system utilities, provide input to build a strong RWD environment, RWE computing environment, promote innovative solutions, operational excellence and develop efficient processes and standards for RWE.
- Advanced analytics: Demonstrate high level proficiency for Artificial Intelligence (AI) and Machine Learning (ML) technology, building predictive models, and application of External Control Arm, align with future roadmap, network with other business area/analytics group to promote the advanced analytics or methodologies.
Professional experience & education:
- MS in Statistics/Biostatistics or Pharmaco-epidemiology.
- Minimum 10 years relevant experience in the pharmaceutical industry.
- Excellent understanding of statistical methodologies, real-world data, and observational studies.
- Experience on SQL and statistical software (e.g., SAS, R, Python) and secondary data sources including registries, EMR and claims is an advantage.
- Excellent oral and written communication skills.
- Excellent Project planning skills.
- Excellent collaborating skills.
- Oncology experience preferred.
Why work with us? Working at Daiichi Sankyo is more than just a job - it is your chance to make a difference and change patients' lives for the better. We can only achieve this ambitious goal together. That is why we foster a culture of mutual respect and continuous learning, with a strong commitment to inclusion and diversity. Here, you will have the opportunity to grow, think boldly, and contribute your ideas. If you have a proactive mindset and passion for addressing the needs of patients, we eagerly await your application.
For more information: www.daiichi-sankyo.eu
Principal Statistical Programmer RWE EU (m/f/x) Arbeitgeber: Daiichi Sankyo Europe GmbH
Kontaktperson:
Daiichi Sankyo Europe GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Principal Statistical Programmer RWE EU (m/f/x)
✨Tip Number 1
Familiarize yourself with the latest trends in real-world evidence (RWE) and statistical programming. Being well-versed in current methodologies and technologies, especially in AI and ML, will set you apart as a candidate who is not just experienced but also innovative.
✨Tip Number 2
Network with professionals in the pharmaceutical industry, particularly those working in RWE and biostatistics. Engaging with others in your field can provide insights into the company culture at Daiichi Sankyo and may even lead to referrals.
✨Tip Number 3
Showcase your experience with SQL and statistical software like SAS, R, or Python during interviews. Be prepared to discuss specific projects where you've utilized these tools to analyze secondary data sources, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Prepare to discuss your project planning and collaboration skills. Highlight examples from your past work where you successfully led projects or worked closely with cross-functional teams, as this aligns with the collaborative nature of the role at Daiichi Sankyo.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Principal Statistical Programmer RWE EU (m/f/x)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistical programming, particularly in the pharmaceutical industry. Emphasize your proficiency in SQL, SAS, R, and Python, as well as any experience with real-world data and observational studies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation and compassion for patients. Discuss how your background aligns with Daiichi Sankyo's mission and how you can contribute to their EU RWE projects.
Showcase Your Technical Skills: Detail your experience with developing statistical macros and tools, especially any interactive web-based tools like R Shiny. Highlight any innovative solutions you've implemented in past roles.
Highlight Collaboration Experience: Since the role involves close collaboration with biostatisticians and other collaborators, provide examples of successful teamwork in your previous positions. Mention any project planning and communication skills that demonstrate your ability to work effectively in a team.
Wie du dich auf ein Vorstellungsgespräch bei Daiichi Sankyo Europe GmbH vorbereitest
✨Show Your Passion for Innovation
Daiichi Sankyo values innovation, so be sure to express your enthusiasm for developing new statistical methodologies and tools. Share examples of how you've contributed to innovative projects in the past, especially those that improved efficiency or outcomes.
✨Demonstrate Technical Proficiency
Highlight your experience with statistical software like SAS, R, and Python during the interview. Be prepared to discuss specific projects where you utilized these tools, particularly in relation to real-world data analysis and predictive modeling.
✨Emphasize Collaboration Skills
Since this role involves close collaboration with biostatisticians and other team members, share examples of successful teamwork from your previous roles. Discuss how you effectively communicated and worked together to achieve project goals.
✨Prepare for Advanced Analytics Discussion
Given the focus on AI and machine learning, be ready to talk about your experience with these technologies. Prepare to discuss any predictive models you've built and how they align with the future roadmap of analytics in the pharmaceutical industry.