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)