<p>REQUIRED: Bachelor's Degree in biology, computer science, engineering or a related field; programming experience; a minimum of one year of post-degree experience with data-intensive biological data; ability to work effectively, collaboratively, and independently; exceptional organizational, interpersonal, and communication skills; self-motivation and flexibility when working in a rapidly evolving environment; and 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 laboratory or classroom settings; Master's degree or direct experience in integrating biological data and computational architectures (eg bioinformatics); experience with pipelining software (eg Nextflow); ability to learn scientific principles and concepts efficiently; experience with web development tools and database servers (eg SQL); and UX design experience.</p> <p>This position is not eligible for remote work.</p> <p>This position is not eligible for visa sponsorship.</p> <p>4/30/2026</p> <p>RESEARCH DATA SPECIALIST - DATA MANAGEMENT & BIOINFORMATICS TEAM, Biology, to join the BioMicro Center that 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. Will focus on providing administrative and analytic support for building and maintaining a novel data management platform supporting a broad spectrum of biological and clinical methodologies; be responsible for handling critical research data; and will be expected to interact with a broad variety of MIT and non-MIT research scientists The position involves coordinating multiple research groups across and outside of MIT; developing new systems and processes for data collection as needed; developing & maintaining databases; and providing researcher training.</p>