Character Biosciences is looking for an experienced data scientist with strong biostatistics expertise to lead mission-critical initiatives in which Character's data is leveraged to inform and direct drug discovery and clinical trial design.
Requirements
- 7+ years professional experience focused on applying statistical analyses to life science or healthcare data.
- Proven track record of owning and leading projects through the data science life cycle from initial problem through data processing to analysis and modeling and finally operationalizing your solution
- Deep knowledge of statistical methods (survival analysis, mixed-effects modeling, and Bayesian methods) as well as machine learning models
- Strong proficiency in python/R and modern data science frameworks
- Experience developing longitudinal models on biomedical data, particularly real world data including electronic medical records (EMRs)
- Experience with clinical trial design and biomarker development
- Experience with genetics data and analyses (association testing, functional genomics, etc.)
Responsibilities
- Lead the design and implementation of models and analyses to support Character Bio’s drug discovery and development activities, which include quantitative biomarker and phenotype development, disease progression predictive modeling, and analyses related to clinical trial design.
- Collaborative cross-functional analyses with members of the genomics, clinical research, and biology teams.
- Providing guidance and leadership to members of the Data Science team with respect to statistical and analytics methods and best practices.
- Contribute to Character’s data and analytics strategic planning and roadmap.
- Contribute to scientific publications and the communication of Character’s data science work to internal and external stakeholders.
Other
- PhD in Biostatistics, Data Science, Computer Science, or related technical field
- This is a preferred hybrid role based at our Jersey City, NJ or Brisbane, CA office. Remote work may be considered.
- Strong problem-solving skills, with a focus on using data to drive action and decision making
- Excellent communication skills, with the ability to work cross-functionally in a team-oriented environment.
- Experience with ophthalmology data, particularly clinical data related to AMD or Glaucoma
