Senior Software Engineer I

4 weeks ago

Cambridge, Massachusetts, United States Intellia Therapeutics, Inc. Full time
Why Work at Intellia Therapeutics, Inc.?

Our mission is to develop curative genome editing treatments that can positively transform the lives of people living with severe and life-threatening diseases. We live our four core values: One, Explore, Disrupt, Deliver and believe that you can achieve more at Intellia. We have a single-minded determination to excel and succeed together. We believe in the power of curiosity and pushing boundaries. We welcome challenging thoughts and imagination to develop innovative solutions. And we know that patients are counting on us to make the promise a reality, so we must maintain high standards and get it done.

We want all of our people to go beyond what is possible. We aren't constrained by typical end rails, and we aren't out to just "treat" people. We're all in this for something more. We're driven to cure and motivated for change. Just imagine the possibilities of what we can do together.

How You Will Achieve More With Intellia: As a Senior Software Engineer I, you will lead product development engagements with stakeholders for experimental design services in genomic sequencing. You will communicate effectively with management, scientists, and the software team and translate NGS concepts into relational data models. You will build and deploy containerized cloud-based data services using Python, GitHub, AWS, and other tools and technologies. You will uphold an agile approach to the software development life cycle (SDLC) and produce well-documented and tested code. The position is fixed location based in Cambridge office; however, telecommuting from a home office may also be allowed.

About You: Requires a master's degree in computer science, Data Science, Analytics or a directly related field plus two (2) years in a software engineering role or related occupation. Must have two (2) years of experience in each of the following (experience may be gained concurrently):
  • Experience developing, testing, and deploying cloud-based applications using Python, AWS, containers, or relational databases
  • Data science and machine learning experience building analytical models and productionizing solutions using Python, R and frameworks such as TensorFlow, PyTorch, and OpenCV
  • Big data platforms like Apache Iceberg and Spark for large-scale data processing
  • Projects in data science disciplines including deep learning, computer vision, and NLP
  • Agile methodologies and SDLC processes
  • SQL and experience with relational databases and data lakes
Must have six (6) months of experience in each of the following (experience may be gained concurrently):
  • Genomic sequencing and ability to apply data science techniques to genomic data challenges
  • Projects in data science disciplines including time series forecasting

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