Data Scientist I / II

Character Biosciences is a precision medicine company pioneering targeted therapies for ophthalmology. The Data Scientist I/II will analyze multimodal medical and life science data to support drug discovery, clinical trial design, biomarker development, and disease progression modeling. The role also contributes to data platform improvements, cross-functional analyses, strategic planning, and scientific communications.

What you'll do:

• Contribute to the implementation of models and analyses to support Character Bio's drug discovery and development activities, including quantitative biomarker from imaging and phenotype development, disease progression and time-to-event (survival) modeling, and real-world-data analyses
• Partner with the clinical development and biostatistics team on pre-specified and exploratory analyses to bring our real-world data to bear on trial design and interpretation
• Collaborate on cross-functional analyses with members of the genomics, clinical research, and biology teams
• Develop and implement improvements and extensions to Character's data platform including analytic pipeline modules and interactive analysis tools across both our AMD and glaucoma programs
• 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

What they're looking for:

• PhD in Statistics, Data Science or a related technical field
• 1–3 years of professional experience applying statistical and data science methods to real-world healthcare data (e.g.,claims, EMR, or other observational data)
• Hands-on experience analyzing biomedical imaging data, ideally retinal imaging such as optical coherence tomography (OCT), fundus autofluorescence, or fundus photography (experience with other modalities such as MRI, CT, or histopathology/IHC is also relevant)
• A strong statistician's grounding combined with hands-on software skills: comfortable writing production-quality
• Python and/or R code and leveraging modern AI tools to implement analyses
• Deep knowledge of machine learning and statistical methods, including survival/time-to-event analysis, mixed-effects modeling, and Bayesian methods (an area we are looking to expand further, particularly within our genetic analyses)
• Experience developing longitudinal models on biomedical data, particularly real-world data including electronic medical records (EMRs) and/or claims data
• Experience developing and implementing data analysis software modules and tools as part of data pipelines and to enable interactive analysis
• 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 environments
• Applicants must be authorized to work in the United States
• Experience developing and deploying encoder-based deep learning models in production

Benefits:

• Equity
• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)
• An accrued paid time off policy
• Hybrid work arrangement