Data Scientist/Sr. Data Scientist
Confirmed live in the last 24 hours
Scribe Therapeutics

51-200 employees

Develops CRISPR-based genetic medicines using advanced technologies
Company Overview
Scribe Therapeutics stands out in the field of genetic medicine with its proprietary CRISPR by Design™ approach, which is touted as the most advanced platform for CRISPR-based genetic medicine. The company's integrated technologies are specifically designed for therapeutic use, offering key advantages such as novel viral and non-viral delivery technologies for in vivo genetic medicine, and highly active editing activities capable of targeting and eliminating the root causes of diseases. Moreover, Scribe's commitment to exceptional specificity within the genome ensures therapeutic precision and allele-specific targeting, setting a high bar for industry standards.
Biotechnology

Company Stage

Series B

Total Funding

$140.2M

Founded

2017

Headquarters

Alameda, California

Growth & Insights
Headcount

6 month growth

14%

1 year growth

35%

2 year growth

146%
Locations
Alameda, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Tensorflow
Data Structures & Algorithms
Keras
Pytorch
Apache Spark
AWS
Data Analysis
Snowflake
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • 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
  • Preferred experience with analytics engines and data systems designed for processing large-scale data, such as SPARK, Databricks, AWS EMR, Snowflake, and data lakes
  • Excellent communication and collaboration skills, enabling effective interaction with internal software and data science teams, external IT contractors, and cross-functional teams
  • Inquisitive nature and a willingness to continuously learn about new areas of science and biotechnology, regardless of prior background in these domains. Demonstrated quantitative and scientific thinker as evidenced by a strong publication record
  • Ability to work both independently and collaboratively in a fast-paced, interdisciplinary research team
Desired Qualifications
  • PhD in Computer Science, Data Science, Applied Mathematics, Statistics, Computation Biology or equivalent engineering fields
  • Familiarity with CRISPR technologies and therapeutic approaches
  • Familiarity with protein or RNA structure and engineering approaches