Technical Data Manager
Sunrise Systems
Title: Technical Data Manager
Location: This position will be fully remote
Duration : 12 month contract (Possible extension based on performance)
Typical work hours: 9am-5pm with some flexibility in start/end times; No weekend or OT work expected for this contractor
JOB DESCRIPTION:
Must Have List
4+ years of experience with the following:
• Excellent scripting skills in R or python programming
• Experience with REST API and command line interfaces
• General understanding of cloud computing / data storage concepts (S3, NFS). Azure or AWS.
• Experience in biomedical data management, data engineering, quality assurance, assay development, and specimen data management.
•Bachelor’s degree
We are looking for an enthusiastic, thorough, and collaborative Technical Data Manager to support ongoing research through enabling seamless access to high-quality data.
Job functions:
• Contribute to our informatics and data management initiatives in Research
• Develop, enhance, and automate processes for queuing and prioritizing data management and curation requests
• Empower scientists with tools and processes needed to support project objectives
• Ensure accurate, complete, and timely collection, delivery and tracking of data from translational, CRO or collaborating laboratories for curation, ingestion, and delivery to computational scientists
Required:
• Bachelor’s degree in a related discipline with at least 2-3 years of experience in biomedical data management, data engineering, quality assurance, assay development, specimen data management or related discipline
• Excellent scripting skills in R or python programming
• Experience with REST API and command line interfaces
• General understanding of cloud computing / data storage concepts (S3, NFS)
• Extensive experience managing, processing, and applying quality control metrics and processes to a wide range of data types in support of Research
• Working knowledge of both Windows and Linux operating systems
• Excellent written and verbal communication, comfortable working independently and as part of a collaborative team, and excellent critical thinking, analytical skills, and judgment
Nice to have:
• Prior experience with biological data, knowledge of molecular biology techniques
• Experience with version control and project management tools
• Demonstrable ability to work among a large multidisciplinary team
• Exposure to AGILE methodology and principles
• Experience working in a dynamic fast-paced environment with shifting priorities
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