Scientific - Data Manager - Aequor Technologies LLC

Job Title: Technical Data Manager

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

Job Overview

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

Must-Have Qualifications

• 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 (e.g., S3, NFS) on Azure or AWS
  • Background in biomedical data management, data engineering, quality assurance, assay development, and specimen data management
• Bachelor's degree

Job Functions

• Contribute to 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 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 Qualifications

• Bachelor's degree in a related discipline with 2-3 years of experience in biomedical data management, data engineering, quality assurance, assay development, specimen data management, or related fields
• Proficiency in R or Python programming
• Familiarity with REST API and command line interfaces
• General understanding of cloud computing/data storage concepts (e.g., S3, NFS)
• Extensive experience in managing, processing, and applying quality control metrics across a range of data types in support of Research
• Working knowledge of both Windows and Linux operating systems
• Strong written and verbal communication skills, critical thinking, analytical abilities, and judgment. Capable of working independently and collaboratively

Nice-to-Have Qualifications

• Prior experience with biological data and knowledge of molecular biology techniques
• Experience with version control and project management tools
• Proven ability to work within a large multidisciplinary team
• Exposure to AGILE methodology and principles
• Ability to thrive in a dynamic, fast-paced environment with shifting priorities