Leading product development engagements with stakeholders for experimental design services in genomic sequencing. Communicating effectively with management, scientists, and the software team and translating NGS concepts into relational data models. Building and deploying containerized cloud-based data services using Python, GitHub, AWS, and other tools and technologies. Upholding an agile approach to the software development life cycle (SDLC) and producing well-documented and tested code.
The position is at a fixed location based in Cambridge office; however, telecommuting from a home office may also be allowed.

40 hours/week, 9:00am-5:00pm.
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
Requires a master’s degree in computer science, Data Science, Analytics or a directly related field
Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference #2703518. Do not copy and paste your resume in the body email. Please attach it as a Word document. Thank you.