Lead Data Engineer
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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