Data Scientist/Sr. Data Scientist

The job overview for the Data Scientist/Sr. Data Scientist role at Scribe Therapeutics is to lead and execute data-driven projects in biotech research and development. The candidate will utilize cutting-edge ML/AI techniques to enhance the core platform capabilities and accelerate CRISPR-based drug innovation. They will design and develop predictive/generative models and algorithms to support drug discovery and gene editing medicine initiatives. Additionally, the candidate will collaborate with scientists and biologists to interpret ML results and drive the development and implementation of data strategies. The role offers opportunities for professional growth and the ability to publish impactful work in peer-reviewed journals.

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.

Develop, implement, deploy, and maintain production-quality code, ensuring the inclusion of appropriate unit and integration tests.

Stay updated with the latest advancements in biotech, genomics, and data science domains, and proactively identify opportunities for applying emerging technologies and methodologies.

Effectively collaborate with members within a fully integrated team to facilitate execution on projects within established timelines.

Foster a driven, fast-paced, dynamic, and fun environment.

• 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.
• Strong background in genomics ML/AI modeling, with practical knowledge of engineering genetics and epigenetics features and advanced DL algorithms and architectures, such as CNN, transformer, Graph Attention Network, Large language model, and similar technologies.

• Intellectually stimulating and fast-paced work environment
• Collegial work environment
• Comprehensive medical and other benefits
• Additional incentives provided as part of the complete package
• Equal opportunity employer
• Base pay wage range dependent on level and internal equity
• Salary commensurate with experience
• Opportunity to engineer the future of therapeutics
• Opportunity to work with cutting-edge technologies and frameworks in machine learning and data science
• Opportunity to work on ML/AI-based protein modeling and genomics ML/AI modeling
• Opportunity to work with CRISPR technologies and therapeutic approaches
• Opportunity to work with protein or RNA structure and engineering approaches
• Opportunity for continuous learning in new areas of science and biotechnology
• Ability to work independently and collaboratively in a fast-paced, interdisciplinary research team