MIT Office of Resource Development · 1 day ago
Lab Data Manager, Tsai Lab
MIT Office of Resource Development is seeking a Lab Data Manager for the Tsai Lab at the Picower Institute for Learning & Memory. The role involves designing, implementing, and maintaining the lab's data infrastructure while collaborating with scientists to standardize workflows and ensure data quality.
Fundraising
Responsibilities
Design, implement, and maintain our lab’s data infrastructure, protocol library, and digital notetaking system
Partner closely with scientists to standardize workflows, ensure data quality, and enforce best-practice policies
Enabling our team to scale experiments reproducibly and accelerate discovery
Be responsible for Data Architecture & Management
Data Analysis
Protocol Curation & Versioning
Notetaking & Policy Enforcement
Cross-Functional Collaboration
Governance & Continuous Improvement
Perform other duties, as assigned
Qualification
Required
Bachelor's degree in Bioinformatics, Computational Biology, Computer Science, or related field
a minimum 5-7 years of related work experience working in a wet-lab
demonstrated experience designing/managing relational databases or LIMS
proficiency with scripting (e.g., Python, SQL) and version control (Git)
familiarity with wet-lab workflows and molecular-biology protocols
strong communication skills and confidence enforcing policies across diverse teams
skilled at analyzing and communicating (written and verbal) scientific information across different topic areas at a level of detail appropriate for different audiences
ability to manage multiple priorities with tight deadlines
versatility, flexibility, and a willingness to work with multiple priorities
ability to work both independently and collaboratively
the interpersonal skills necessary to promote collaboration and cooperation among teams and other leading laboratories
Preferred
Advanced degree in Biology, Neuroscience, Bioengineering, Computer Science or related fields
10+ years' related work experience
proven experience designing and implementing data archiving and analysis systems
direct experience with mouse behavioral, sequencing, or high-content imaging projects
prior implementation of electronic lab notebook systems
knowledge of cloud-based data platforms (AWS, GCP)