Senior Implementation Engineer
Rad AI- Full Time
- Senior (5 to 8 years)
The Lead, Implementation Data Engineering role requires expert-level data engineering and ETL capabilities, deep knowledge of healthcare standards (HL7, FHIR, DICOM, OMOP), advanced data modeling expertise, Python and SQL proficiency, proven experience with AWS or GCP, strong background in data security and compliance, and demonstrated team leadership abilities. Candidates should have extensive hands-on experience working with biomedical data and thrive on the unique challenges and complexities that come with handling genomic, clinical, and research datasets.
As the Lead, Implementation Data Engineering, you will lead platform implementations to integrate diverse biomedical data sources, transform complex datasets into standardized, research-ready formats, optimize implementation processes while growing a high-performing team, and design scalable data engineering solutions using Manifold’s platform. You will also work hands-on with clients and mentor your team, ensuring successful project delivery and contributing to the overall success of Manifold’s Trusted Research Environment (TRE).
Designs precision biologics using in vivo methods
Manifold Bio specializes in creating precision biologics for the pharmaceutical industry, focusing on drug design and development. Their main product is an in vivo drug design platform, which allows for testing drugs within living organisms rather than in laboratory settings. This platform utilizes mCodes™ technology, a unique protein barcoding system that enables the simultaneous study of multiple proteins in one experiment, making it particularly effective for complex biologics. Unlike other companies, Manifold Bio's approach to drug design is distinct because it integrates in vivo testing with advanced protein multiplexing capabilities. The company's goal is to expand their platform and collaborate with other pharmaceutical companies to develop new therapeutics.