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Character Biosciences

Data Scientist 1 / 2

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A PhD in Statistics, Data Science, or a related technical field is required.
  • Have 1–3 years of professional experience applying statistical and data science methods to real-world healthcare data, such as claims, electronic medical records, or other observational data.
  • Have hands-on experience analyzing biomedical imaging data; retinal imaging such as optical coherence tomography, fundus autofluorescence, or fundus photography is ideal, and experience with modalities such as MRI, CT, or histopathology/immunohistochemistry is also relevant.
  • Have a strong foundation in statistics and hands-on software skills, including the ability to write production-quality Python and/or R code and leverage modern artificial intelligence tools to implement analyses.
  • Have deep knowledge of machine learning and statistical methods, including survival/time-to-event analysis, mixed-effects modeling, and Bayesian methods.
  • Have experience developing longitudinal models on biomedical data, particularly real-world data such as electronic medical records and/or claims data.
  • Have experience developing and implementing data analysis software modules and tools as part of data pipelines and to enable interactive analysis.
  • Have strong problem-solving skills focused on using data to drive action and decision-making.
  • Have excellent communication skills and the ability to work cross-functionally in a team-oriented environment.
  • Must be authorized to work in the United States.

Responsibilities

  • Contribute to implementing models and analyses that support drug discovery and development activities, including quantitative imaging and phenotype biomarker development, disease progression and time-to-event modeling, and real-world-data analyses.
  • Partner with the clinical development and biostatistics team on prespecified and exploratory analyses that use real-world data to inform 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 the data platform, including analytical pipeline modules and interactive analysis tools across the AMD and glaucoma programs.
  • Contribute to data and analytics strategic planning and the roadmap.
  • Contribute to scientific publications and communicate data science work to internal and external stakeholders.

Desired Qualifications

  • Experience developing and deploying encoder-based deep learning models in production.
  • Experience with ophthalmology data, particularly clinical data related to AMD or glaucoma.

About the Company

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