Data Engineer

Position Summary:

The Data Engineer, Translational Data Services, will support the Translational Data Services team in implementation, maintenance, and monitoring of data standards across Precision for Medicine’s laboratory services unit.  This position will make a key contribution to implement and monitor standards and data transfer/QC processes to support Precision’s laboratory sciences team to ensure delivery of high quality data to Precision’s clients.    

Essential functions of the job include but are not limited to:

• Create production-level source code for use in biomarker data management, and biomarker data delivery
• Execute data processing and quality control (QC) pipelines for biomarker data such as flow cytometry, cell-based assays (e.g. MSD portfolio), next-generation sequencing, gene expression, and IHC
• Support development and execution of data transfer agreements/specifications for internal and external data transfers
• Perform source code validation and application testing
• Collaborate with members of other Precision divisions, and externally with 3rd party clients and vendors
• Other duties as assigned

Qualifications:

Minimum Required:

• Bachelor’s in data management, Bioinformatics, Data Science, Biostatistics, Biology or related field
• 2 years of relevant working experience

Other Required:

• Ability to leverage existing technologies, internal and external, to address unique challenges
• A concern for the little differences in numbers that can uncover big issues
• Ability to identify problems and work with internal stakeholders to a resolution
• Excellent communication and interpersonal skills
• Team player contributing to a positive, collaborative working environment
• Extended work hours may be required to meet business demands
• Must be able to read, write, speak fluently and comprehend the English language

Preferred:

• Master’s in data management, Bioinformatics, Data Science, Biostatistics, Biology or related field
• Experience with coding in R
• Experience with relational databases such as MySQL
• Experience with source code management systems such as git
• Ability to work efficiently under Unix/Linux environment
• Experience interfacing with LIMS systems
• Experience with cloud computing infrastructure (e.g. AWS)