Senior Biostatistician Consultant- Vaccine & Immunology(Remote in EU)

As a Senior Biostatistician Consultant - Vaccine & Immunology at ClinChoice, your primary responsibilities include protocol development, sample size calculations, randomization, and creating statistical analysis plans. You'll also oversee the statistical quality of studies, ensure the data's completeness and accuracy, and guide your peers in statistical methodologies.

To qualify for the Senior Biostatistician Consultant role at ClinChoice, candidates should possess a Master’s or PhD in Statistics or Biostatistics, along with relevant experience—3-5 years for PhDs and 6-8 years for MS holders. A strong background in Vaccine and Immunology is essential, as well as experience in clinical trials and regulatory interactions.

ClinChoice prioritizes professional growth by providing continuous training, mentorship opportunities, and a collaborative work environment. As a Senior Biostatistician Consultant, you'll not only hone your skills but also have the chance to mentor less experienced statisticians, fostering a culture of learning and excellence.

The work environment at ClinChoice for a Senior Biostatistician Consultant is dynamic and flexible, as this role is remote within the European Union. You'll benefit from a supportive culture that emphasizes quality and collaboration, allowing for meaningful interactions with clients and peers alike.

The Senior Biostatistician Consultant role at ClinChoice stands out for its blend of direct client engagement and the backing of a reputable global CRO. This unique position empowers you to drive statistical analysis while collaborating closely with clients, ensuring high-quality project results.

When answering this question, detail specific experiences you've had with different statistical methodologies, tools you’ve utilized, and how your analyses impacted trial outcomes. Highlight your familiarity with FDA regulations and your role in past successful projects.

Discuss your process for protocol development, emphasizing your attention to detail and statistical considerations such as sample size calculation and randomization. Provide examples of previous studies where you developed protocols and the outcomes.

Share a specific situation where you guided a junior statistician, focusing on the skills you taught, how you approached the mentorship, and any positive outcomes or feedback from that experience.

Explain your routine for checking data quality, including consistency checks, validation processes, and how you handle discrepancies or flawed data. Providing a real-life example can further demonstrate your approach.

Talk about the resources you use to stay informed, such as industry newsletters, professional organizations, or regulatory agency updates. Mention any relevant courses or training that have helped you maintain a current understanding.

When discussing challenges, provide a clear description of the problem, your analytical approach to solving it, and the final outcome. This illustrates your problem-solving skills and familiarity with statistical methodologies.

Mention the statistical software tools you use most frequently, such as SAS, R, or Python, and give examples of projects where you've effectively utilized these tools for analysis and reporting.

Provide insight into your communication style, emphasizing clarity and simplicity. Discuss specific approaches you use, such as visual aids or analogies, and give an example of how you successfully conveyed information to a non-statistical audience.

Discuss the methods you typically use for calculating sample sizes for clinical trials, emphasizing how these methods align with study objectives and regulatory guidelines.

Describe strategies you employ to manage your time effectively under pressure, such as prioritization, delegation, or using project management tools, backed by a real example of meeting a challenging deadline.