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Bioinformatician / Researcher / Scientist
Staff Research Associate III Full-time
Job Summary Statement
Under the direct supervision of the Principal Investigator, the SRAIII will perform statistical analysis of genomic datasets and quantitative image analysis. The incumbent will work directly with the PI on a project that aims to identify cellular and molecular principles of cell fate specification in the mammalian retina using novel spatial transcriptomics and lineage tracing technologies. The project involves design of the experiments based on existing transcriptomics data, quantitative analysis of the experimental results (in the form of microscopy images), and statistical inference of the underlying mechanisms based on the spatial distribution of cell types and gene expression. Our goal is to develop computational tools that solve common challenges in the rapidly growing field of spatial transcriptomics. The incumbent will also have the opportunity to supervise students and work with trainees in the lab in a collaborative and open environment. The job will require significant familiarity with image analysis and computational biology methods, but training in some of these areas can be provided during the work.
Type of Supervision Received/Exercised
The incumbent will be under the supervision of the Principal Investigator. As they gain more experience in our laboratory, the employee will be expected to perform many tasks independently.
Research Responsibilities
Develop standardized pipelines for data processing and analysis.
Design experiments for multiplexed in situ measurement of gene expression.
Analyze microscopy data for quantitative extraction of molecular and cellular features.
Develop and test algorithms for analysis of spatial transcriptomics data.
Summarize and visualize genomics and transcriptomics data.
Make scholarly contributions to the research projects (thinks critically, absorbs scientific information, reads relevant scientific literature, and draws conclusions).
Laboratory Management
Develop and maintain laboratory databases.
Oversee data archiving by the lab members.
Prepare figures and data visualizations when needed, using Python, R, or MATLAB, including preparing scientific figures to assist in publications and grants.
Supervision
In conjunction with PI and/or Post-Doctoral Researchers, oversee activities of graduate and undergraduate researchers in the lab.
Skills, Knowledge, Abilities, and Competencies
At a minimum, a Bachelor’s degree, preferably an advanced degree, in Computational Biology or related disciplines.
Demonstrated related research experience.
Ability to work in an active team environment, including good written and verbal communication skills.
Ability to train and supervise students and other lab assistants.
Ability to independently organize assignments, set priorities, meet deadlines, and complete assignments.