Position Summary:

The Lead Data Engineer, Translational Data Services, will support the Translational Data Services team by leading a team of data engineers 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. The position also would be responsible for the local administrative management of the team 

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

• Effectively lead the team locally and be their go to person for day to day efforts and communication with the wider group
• 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
• Lead sessions with all levels of the organization to understand their wants and needs and to gather the appropriate information to be cascaded to the team.
• Be the point of contact for off-site directors, managers and leads to manage and execute projects in team.
• Coach and mentor teams, and conduct & develop training programs to contribute to capacity building and knowledge sharing (project management, requirements gathering, business process modeling, etc).
• Coordinate with local administrative management to actively participate and utilize the various opportunities globally executed by the team.
• Other duties as assigned

Qualifications:

Minimum Required:

• Bachelor’s in data management, Bioinformatics, Data Science, Biostatistics
• 6+ years of relevant working experience

Other Required:

• Ability to lead multiple complex and/or international projects with teams of data engineers
• 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
• 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)
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