Data Engineer

Looking for a Data Engineer who is passionate about working for an organization who develops products that are life changing.

• Architect and develop data pipeline for clinical qPCR data for scientists to derive analytics to assess the performance of clinical test
• Own the data flow, data manipulation, transformation, storage, and integration of analytical tools
• Clean, aggregate, transform, and organize data from disparate sources and transfer it to data lake
• Manage data and meta-data in the data lake
• Prepare data for prescriptive and predictive modeling
• Work closely with scientists and algorithm developers to build data systems and pipelines and auto generation of reports
• Collaborate with data scientists to explore ways to enhance data quality and reliability
• Collaborate and communicate with various teams and business units

• 5+ years as a data engineer or in a similar role
• 3+ years of product development experience (biotechnology industry preferred)
• Strong understanding of data modeling, algorithms, and data transformation techniques.
• Hands-on experience with ETL (data extraction, transformation, and loading), storages, and analytical tools.
• Strong software architecture background
• Familiarity with big data technologies such as Hadoop and Kafka
• Experience with AWS data lake and ML framework is preferred
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Excellent programming skills in Python, Java, C

• Understanding of qPCR and amplification curve data is strongly preferred
• Knowledge in Molecular Biology and Clinical Diagnostics
• Ability to present and communicate data analysis results to non-experts
• Ability to work independently and in a team environment
• Prior experience with US-FDA 510k product development/submission, 21 CFR Part 11, and ISO 13485 is highly preferred
• Understanding of clinical trial design and evaluation is preferred