Duties: Project Management toolkit; Ensure that database design is consistent with 21 CFR part 11; Provide input to the development of case report forms, in conjunction with Clinical Research and Clinical Data Specialists; Annotate CRFs and develop study clinical databases using Oracle Clinical or other clinical database; In conjunction with Clinical Data Specialists, write study specific data entry work instructions; In conjunction with the Validation team, ensure databases are validated and data entry training has been provided before the database is activated; With Clinical Research staff and Clinical Data Specialists, contribute to the development of data edit check rules
Requirements: Bachelors’ degree required. Management, Psychology, Information science, public health, or life science preferred; Minimum of 3 years’ experience in clinical research and database programming; prefer at least 1 year in device or pharmaceutical clinical trials as a clinical programmer performing mentioned above functions using SAS, Oracle Clinical or Clintrial and/or ACCESS

Duties: Develop novel analysis algorithms and models to better understand and predict CasX editing outcomes and their effects in a therapeutic context; Work closely with Scientists and to inform experimental approaches for testing computational predictions; Effectively communicate analysis approaches and results with close collaborators and across the company; Maintain and improve our existing codebase of bioinformatics pipelines using software development best practices (i.e. version control, workflow management, metadata tracking); Foster a driven, fast-paced, dynamic, and fun environment in which to do rigorous science
Requirements: PhD in a quantitative discipline (e.g. Computational Biology, Bioinformatics, Biophysics, Systems Biology, Genomics, or equivalent); 2+ years experience developing novel algorithms/analysis methods for integrative analysis of genomics or other biological datasets; 2+ years experience in computational and statistical programming (python or R preferred), unix command line, bioinformatic toolkits, version control systems (e.g. git), and workflow management (e.g. nextflow)

Duties: Lead and execute data-driven projects to drive insights and innovation in biotech research and development; Utilize cutting-edge ML/AI techniques to identify, implement, and advance state-of-the-art models, contributing to the enhancement of core platform capabilities and the acceleration of CRISPR-based drug innovation; Design and develop predictive/generative models and algorithms to support CRISPR-based drug discovery and gene editing medicine initiatives; Engage in collaboration with scientists, biologists, and curators to engineer ML features, enabling the interpretation of ML results within the context of the field; Drive the development and implementation of data strategies based on best practices, ensuring the security, accessibility, and interpretability of Scribe's proprietary data
Requirements: PhD in Computer Science, Data Science, Applied Mathematics, Statistics, Computation Biology or equivalent engineering fields; Demonstrated expertise with machine learning technologies and a proven track record of implementing deep learning architectures, either in industry or academia, for a minimum of 3 years; Proficiency in utilizing various tools and frameworks for machine learning and data science, such as PyTorch, Scikit-Learn, Tensorflow, Keras, AWS SageMaker, and others; Hands-on experience in ML/AI-based protein modeling, including familiarity with AlphaFold2, RoseTTAFold, ESM2, and similar technologies

Duties: Develop and revise high performance next-generation sequencing (NGS) data analysis pipeline systems; Develop complex data integration methods/algorithms across various NGS sequencing techniques; Lead or participate in the brainstorming sessions to seek reliable solutions for complex data analysis related to specialized research methodologies; Oversee the development and maintenance of complex databases to support new and ongoing research projects
Requirements: Degree in Bioinformatics