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- Aufgaben: Lead programming teams and mentor junior staff while working with R, Shiny, and SAS.
- Arbeitgeber: Join a dynamic pharmaceutical company focused on innovative clinical development.
- Mitarbeitervorteile: Flexible work options, opportunities for professional growth, and a collaborative culture.
- Warum dieser Job: Shape strategic decisions in statistical programming and contribute to global health initiatives.
- Gewünschte Qualifikationen: BSc or MSc in Mathematics, Statistics, or Computer Science with 9+ years of relevant experience.
- Andere Informationen: Experience in international environments and e-submission processes is a plus.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Your role:
As a Senior Principal Statistical Programmer, you will have the opportunity to work with advanced technical solutions such as R, Shiny, and SAS, allowing you to lead asset teams and mentor junior staff effectively. In this role, you will contribute to global assets across a variety of therapeutic areas, shaping strategic decisions in statistical programming.
Your responsibilities will include:
- Leading the trial or asset programming team as the Lead Statistical Programmer, ensuring that asset and trial delivery aligns with established timelines and quality standards.
- Performing programming activities at both trial and asset levels, including the development of SDTM and ADaM datasets and the creation of specifications.
- Developing and validating analytical outputs in accordance with the Statistical Analysis Plan and creating datasets for integrated analyses like ISS or ISE.
- Executing ad-hoc programming activities based on internal and external requests.
- Actively contributing to statistical programming initiatives, supporting process improvements and innovation.
- Providing expert advice, guidance, and training to trial and asset teams, fostering the development of your colleagues\‘ skills.
Who are you:
- BSc or MSc (in a numerate discipline preferably in Mathematics, Statistics or Computer Science)
- Proven success in a Statistical Programming role within clinical development at a pharmaceutical or biotech company, or at a CRO, equivalent to a minimum of 9 years directly relevant experience. Experience in an international environment is a plus.
- Advanced skills in R and SAS
- Full familiarity with CDISC SDTM and ADaM standards (including specifications, Define.xml, and reviewers guide) and underlying concepts.
- Strong understanding of processes related to clinical development programs; experience in leading e-submission processes is beneficial.
- Demonstrated ability to manage assets effectively, ensuring timely delivery and quality outcomes.
- Ability to provide solutions for complex programming challenges and evaluate alternatives to identify optimal solutions.
Department: HC-RD-BSES Statistical Programming
Job evaluation: AT – Expert 3 #J-18808-Ljbffr
Senior Principal Statistical Programmer (all genders, full-/part-time) Arbeitgeber: Merck Group
Kontaktperson:
Merck Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Principal Statistical Programmer (all genders, full-/part-time)
✨Tip Number 1
Make sure to highlight your experience with R and SAS during networking opportunities. Engage with professionals in the field through platforms like LinkedIn or relevant conferences, as personal connections can often lead to job referrals.
✨Tip Number 2
Stay updated on the latest trends and advancements in statistical programming and clinical development. This knowledge will not only help you in interviews but also demonstrate your commitment to continuous learning and innovation.
✨Tip Number 3
Consider joining online forums or groups focused on statistical programming and clinical trials. Engaging in discussions can enhance your visibility and allow you to showcase your expertise, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss specific examples of how you've led teams and managed projects in your previous roles. Being able to articulate your leadership style and problem-solving skills will set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Principal Statistical Programmer (all genders, full-/part-time)
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your extensive experience in statistical programming, particularly within clinical development. Detail your roles and responsibilities in previous positions, especially those that align with the requirements of the Senior Principal Statistical Programmer role.
Showcase Technical Skills: Clearly outline your proficiency in R, SAS, and any other relevant programming languages or tools. Provide specific examples of projects where you utilized these skills, particularly in developing SDTM and ADaM datasets.
Demonstrate Leadership Abilities: Since this role involves leading teams and mentoring junior staff, include examples of your leadership experience. Discuss how you've successfully managed teams, delivered projects on time, and contributed to the professional development of your colleagues.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements and responsibilities mentioned in the job description. Use keywords from the job listing to ensure your application resonates with the hiring team.
Wie du dich auf ein Vorstellungsgespräch bei Merck Group vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with R, Shiny, and SAS in detail. Highlight specific projects where you utilized these tools, focusing on how they contributed to successful outcomes in statistical programming.
✨Demonstrate Leadership Experience
Since the role involves leading teams, share examples of how you've successfully managed programming teams or mentored junior staff. Discuss your approach to ensuring quality and timely delivery in projects.
✨Familiarize Yourself with CDISC Standards
Make sure you understand CDISC SDTM and ADaM standards thoroughly. Be ready to explain how you've applied these standards in your previous roles, especially in developing specifications and datasets.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to tackle complex programming challenges. Think of specific instances where you evaluated alternatives and provided optimal solutions, and be ready to discuss your thought process.
