Data Manager

Job Title: Data Manager

Duration: 12 Month Contract (Possible extension based on work performance)

Location: Cambridge, MA 02141

Remote Position

Typical work hours: 9 am-5 pm with some flexibility in start/end times; No weekend or OT work expected for this contractor

ABOUT ROLE:

We seek an enthusiastic, thorough, and collaborative Technical Data Manager to support ongoing research by enabling seamless access to high-quality data.

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

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 the 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