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- Aufgaben: Join us to deliver cutting-edge RWD analyses and drive clinical development.
- Arbeitgeber: Be part of a dynamic team shaping the future of healthcare.
- Mitarbeitervorteile: Flexible full-time/part-time options and opportunities for remote work.
- Warum dieser Job: Engage in innovative data analytics and make a real impact in healthcare.
- Gewünschte Qualifikationen: PhD or MSc in Biostatistics, Epidemiology, or related field required.
- Andere Informationen: Collaborative environment with a focus on advanced analytics techniques.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Your role:
Join our team and take part in delivering cutting-edge statistical input and Real World Data (RWD) analyses essential for driving clinical development, regulatory compliance, and pharmacovigilance initiatives. Your role will involve architecting, designing, and scaling data analytics solutions, predictive modeling, data science, mining, visualization, and implementing algorithms.
You will be instrumental in writing statistical sections of study protocols, collaborating closely with study teams, and effectively communicating results to relevant stakeholders. Your expertise will also extend to articulating, refining, and defending data analytics standards while applying advanced analytics techniques. This may entail processing large datasets, scaling algorithms, or creating user-friendly application interfaces.
In addition to meeting timelines and maintaining high-quality deliverables in line with company and international standards, you will provide invaluable RWD/RWE advice to both internal and external stakeholders.
If you\’re passionate about RWD/RWE and novel methods to drive informed decision-making and thrive in a dynamic, collaborative environment, we invite you to join us in shaping the future of healthcare.
Who you are:
- Background in health and life sciences (biostatistics, epidemiology), or quantitative data sciences
- Doctoral and/or master’s degree (e.g., PhD, MSc) in Biostatistics, Epidemiology, Mathematics or related field
- Extensive prior experience with RWD/RWE required
- Prior experience in the pharmaceutical industry required
- Demonstrable experience in writing and implementing statistical analysis plans for studies required
- Demonstrable experience in processing large real-world datasets for analyses and studies required
- Experience in predictive modeling, machine learning and artificial intelligence methodology a plus
- Experience in coding (R) a plus
- Excellent oral and written communication skills and demonstrated ability to engage and communicate scientific evidence to peers
- Collaborative, proactive working style, with ability to work independently.
Department: HC-RD-BEB RW Data, Methodologies & Solutions
Job evaluation: AT-level 3 (Expert)
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Associate Director RWD Scientist (all genders) - full time/part-time possible Arbeitgeber: Merck Gruppe
Kontaktperson:
Merck Gruppe HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Associate Director RWD Scientist (all genders) - full time/part-time possible
✨Tip Number 1
Make sure to showcase your experience with Real World Data (RWD) and Real World Evidence (RWE) in your conversations. Highlight specific projects where you successfully applied these concepts, as this will resonate well with our team's focus.
✨Tip Number 2
Familiarize yourself with the latest trends in predictive modeling and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 3
Prepare to discuss your collaborative experiences. We value a proactive working style, so be ready to share examples of how you've effectively worked with cross-functional teams to achieve common goals.
✨Tip Number 4
Since communication is key in this role, practice explaining complex statistical concepts in simple terms. This will help you convey your ideas clearly and show that you can engage with both technical and non-technical stakeholders.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Associate Director RWD Scientist (all genders) - full time/part-time possible
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Associate Director RWD Scientist position. Tailor your application to highlight how your background in health and life sciences aligns with these requirements.
Highlight Relevant Experience: Emphasize your extensive experience with Real World Data (RWD) and Real World Evidence (RWE). Provide specific examples of your work in the pharmaceutical industry, particularly in writing statistical analysis plans and processing large datasets.
Showcase Technical Skills: Detail your proficiency in coding, especially in R, and any experience you have with predictive modeling, machine learning, or artificial intelligence methodologies. This will demonstrate your technical capabilities and relevance to the role.
Communicate Effectively: Since excellent communication skills are essential for this role, ensure that your application is well-written and clearly articulates your experiences and achievements. Use concise language and structure your application logically to make it easy for the hiring team to follow.
Wie du dich auf ein Vorstellungsgespräch bei Merck Gruppe vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Real World Data (RWD) and Real World Evidence (RWE). Highlight specific projects where you processed large datasets or implemented statistical analysis plans, as this will demonstrate your capability to handle the technical demands of the role.
✨Communicate Clearly and Effectively
Since excellent communication skills are crucial for this position, practice articulating complex statistical concepts in a way that is understandable to non-experts. Use examples from your past experiences to illustrate how you've successfully communicated findings to stakeholders.
✨Demonstrate Collaborative Spirit
This role requires a collaborative working style. Be ready to share examples of how you've worked effectively within teams, especially in cross-functional settings. Emphasize your proactive approach and ability to contribute independently while still being a team player.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to apply advanced analytics techniques. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data analytics and regulatory compliance.
