The Cremins lab works at the spatial biology-technology interface to understand chromatin-to-synapse communication during neural circuit activation in the mammalian brain. We aim to understand how chromatin works through long-range physical folding mechanisms to encode neuronal specification and long-term synaptic plasticity in healthy and diseased neural circuits. We pursue a multi-disciplinary approach integrating data across biological scales in the brain, including molecular Chromosome-Conformation-Capture sequencing technologies, single-cell imaging, optogenetics, genome engineering, induced pluripotent stem cell differentiation to neurons/organoids, and in vitro and in vivo electrophysiological measurements. Our long-term scientific goal is to dissect the fundamental mechanisms by which chromatin architecture causally governs genome function and, ultimately, long-term synaptic plasticity and neural circuit features in healthy mammalian brains as well as during the onset and progression of neurodegenerative and neurodevelopmental disease states. Our long-term mentorship goal is to develop a diverse cohort of next-generation scientists cross-trained in molecular and computational approaches. We seek to create a positive, high-energy environment with open and honest communication to empower individuals to discover and refine their purpose and grow into the best versions of themselves.
The candidate will organize, manage, and curate big data on the cluster and find biological patterns in a wide range of genetic and epigenetic sequencing and imaging data to facilitate the paper figures of lab members. Candidate will train on the lab's fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative code building for team member papers will involve mastery and application of existing algorithms and tools for understanding and detecting TADs, subTADs, loops, and compartments in Hi-C and MicroC data and integrating the 3D genome features with underlying chromatin marks. As the candidate advances in training, they will develop new algorithms to find TADs and loops in single cell genomics data, as well as to analyze in situ DNA FISH and merFISH data. This role is ideal for you if you have a strong interest and motivation toward publishing results and will contribute to the preparation of multiple manuscripts, including making figures and writing methods and results. This role is ideal for you if you enjoy the excitement of a bleeding-edge scientific laboratory and welcome the challenge of a fast-paced environment and working collaboratively according to a positive, warm, and community-focused scientific culture.
Working Conditions:
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Education: Master's degree or combination of education and/or experience may substitute for minimum education.
Certifications/Professional Licenses: No specific certification/professional license is required for this position.
Work Experience: Laboratory Operations (3 Years)
Analytical Problem Solving, Communication, Computer Literacy, Data Analysis, Data Interpretations, Detail-Oriented, Independent Thinking, Micro C, Organizing, Python (Programming Language), Team Player, Time Management
R10
$48,000.00 – $86,900.00 / AnnuallyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.
Tagged as: Life Sciences
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