Job Description

We are looking for a Manager, Application & Data Engineering to help engineer, develop and support software applications, tools, and data management pipelines for our clients’ research and clinical purposes. The ideal candidate should have expertise in the life sciences designing, implementing, and maintaining robust, scalable application systems (especially R Shiny).

In addition, the Manager would assess various datasets (both unstructured and structured) to determine data relationships, model datasets for loading/storing in relational databases, and create new data pipelines and ETL processes working closely with various teams across the company. We are looking for somebody who places value on problem-solving, has the willingness to learn, a passion for security, great communication, and accountability. This is the perfect opportunity to bring your cutting-edge engineering know-how and join our quest in curing cancer and take your career to the next level.

Responsibilities

• Develop and contribute to an enterprise architecture standard that ensures scalability and agility in the delivery of business capabilities.
• Partner effectively with other IT leaders to identify potential shared platform solutions that can be leveraged across multiple business areas/regions to minimize redundant solutions.
• Create software and data pipelines that enable the ingestion, transformation and transfer of large quantities of structured and unstructured research and clinical data from various databases and filesystems sources.
• Design and build database logic to automatically fetch and store data in various forms.
• Be responsible for application and database development and the design of high-performance, complex systems.
• Produce required functional, technical, and user documentation (e.g., business requirements, functional and technical specifications, system architecture, data flows, end-users training requirements) on assigned projects.
• Collaborate with scientists and IT operations to build scientific tools and data systems in order to build a new generation of cancer treatments.
• Work with business customers to understand their needs. Develop and deliver products that meet their needs in a timely manner.
• Implement engineering best practices in all development activities.
• Provide technical leadership and oversight over vendor partners to ensure that solutions align with the overall enterprise architecture and follow best practices.

Basic Qualifications:

• MS Degree and 5+ years’ experience in Industry as a Data Engineer/similar role OR
• BS Degree and 7+ years’ experience in Industry as a Data Engineer/similar role OR
• High School Degree and 11+ years’ experience in Industry as a Data Engineer/similar role

Preferred Qualifications:

NOTE: When applying, please address each bullet point indicating your # of years experience and last year performed. Elaborate where necessary to help you get the interview.

• 6+ years of experience in working on Data Science projects
• Extensive experience in R, Python, or related language.
• 4+ years of experience in R Shiny front-end development
• 4+ years of experience in the development of SQL database schema and query logic.
• Experience with data warehouse architecture for large quantities of structured and unstructured data.
• Experience with the design, detailed testing, and documentation of complex systems.
• Experience with version control standard methodologies (specifically git and Github).
• Experience with research data management software (ex, LabKey)
• Experience with modern DevOps practices & technologies (e.g. Docker, Jenkins, Terraform)
• Experience with design and architecture of Data Lakes
• Expertise with Bioinformatics tools and pipelines (ex, Seven Bridges)

HOW TO APPLY

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Connect with us on Linked In: LinkedIn.com/in/DianeKrehbiel

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