Research Specialist/Data Manager, Bioinformatics

REQUIRED: bachelor's degree in biological or computer science, engineering, or related field; R/Python experience; at least one year of post-degree experience with data-intensive biological data; ability to work both collaboratively and independently; excellent organizational, interpersonal, and communication skills; self-motivation and flexibility for working in a rapidly evolving environment; attention to detail; and ability to prioritize a variety of tasks. PREFERRED: exposure to a variety of clinical research principles, study designs, biological methods, assays, and data, either in a laboratory or classroom setting; master's degree or direct experience in integrating biological data and computational architectures (e.g. bioinformatics); ability to learn scientific principles and concepts; and experience with web development tools, database servers (e.g., SQL), and UX design. Job #24185

6/28/24

RESEARCH SPECIALIST/DATA MANAGER, BIOINFORMATICS, Biology-MIT BioMicro Center, to focus on providing analytic and administrative support for building and maintaining a novel data management platform supporting a broad spectrum of biological and clinical methodologies. Will coordinate multiple research groups across and outside of MIT; develop new systems and processes for data collection as needed; develop and maintain database; provide researcher training; handle critical research data; and interact with a broad variety of MIT and non-MIT research scientists. Additional bioinformatics tasks utilizing the data are likely as well.

The MIT BioMicro Center currently provides data management for several major, interinstitutional projects ranging from cancer research to infectious disease to environmental remediation. In each project, the center serves as a host and integrator of large, multidimensional datasets with the goal of improving findability, accessibility, interoperability, and reusability of data to enable improved reproducibility and increase discovery using machine learning based approaches.