Biostatistician - ALL LEVELS - ALL REMOTE

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Job description

Position Summary:
We are seeking experienced and motivated biostatisticians to join our client's team. The successful candidates will provide significant statistical expertise in preclinical study design and data analysis in vaccine development and discovery research. They will also provide support and collaboration in analyzing large and complex data sets generated by our client's platform. The biostatistician will have the opportunity to work on developing novel statistical methodologies and improve current methodologies. They will also contribute to the science through independent and collaborative research resulting in presentations and publications.

Primary Responsibilities:

• Serve as a key biostatistician on preclinical study design and data analysis
• Provide strategic input into the analysis of large and complex data sets from high throughput platforms
• Maintain and expand expertise in various computing tools to leverage internal and external data sets
• Develop and maintain good working relationships with research and clinical scientists, statisticians, computational biologists, and external collaborators as part of a multidisciplinary team.
• Build out statistical capabilities and propose opportunities for productivity improvements and implementation plans.
• Proactively seek input and review from other experts within and outside the group on various projects and research activities and share technical information when appropriate.

Competencies:

• Excellent communication, presentation, and writing skills with an ability to explain complex technical details in simple language.
• Work well in a team as well as independently and be able to take a leadership role with regard to statistical elements on various projects.
• Excellent organizational skills and ability to multi-task and embrace change in an extremely fast-paced environment
• Independently motivated, detail-oriented, and good problem-solving abilities
• Strong writing, editing, and presentation skills

Required Skills:

• Strong basis in statistical concepts and methodologies such as predictive modeling, mixed effects models, multivariate analysis, etc.
• Exploratory data analysis and data visualization
• Design of experiments, including power/sample size calculations
• Strong statistical programming skills with R and/or python
• Experience in applied Bayesian modeling would be a plus
• Background in immunology and oncology would be a plus

Education Requirements

• MS or PhD in Biostatistics, Statistics, Computational Biology or a related field
• >1 year with PhD (or >3 years with MS) relevant post-graduate academic/industry experience collaborating within a cross-functional research team