82 coding-"https:" "https:" "https:" "https:" "https:" "https:" "I.E" "Helmholtz Zentrum Geesthacht" positions at Brown University
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recruitment), participant retention activities, and survey conduct. Finally, the future Research Assistant will have to manage biological samples (i.e., blood and/or urine), and may be trained in phlebotomy
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. Proficiency in office technologies and web-based applications as well as experience with or strong interest in teaching and learning technologies. Proficient with Microsoft Office i.e., computing proficiency
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gene expression and processing (i.e transcription and RNA splicing). Some specific projects include 1) understanding how particular arrangements of sequence elements are read by the splicing machinery, 2
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-August) Schedule typically is 45-50 hours per week (five days) and includes late-night (i.e. ending at approx. 2:30 a.m.) and weekend shifts. Physical Requirements Requires ability to read. Requires moving
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division events (i.e. College Fair) when needed. Qualifications Education and Experience Bachelor’s degree and 1 to 2 years of relevant experience, or equivalent combination of education and experience
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experience working with scientific databases Experience with ImageJ / Jupiter / Python coding and knowledge of python, R, and java computer languages is desirable Computational pipeline development experience
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; reviews construction plans for compliance with applicable laws, codes, regulations, policies, procedures, and best practices. Demonstrated ability to work collaboratively with faculty, staff, students, and
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. Picks up completed functions and retrieves all equipment sent out. Unloads function supplies and distributes items in proper locations (i.e. trash to trash disposal area, equipment and supplies
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includes late-night (i.e. ending at approx. 2:30 a.m.) and weekend shifts. All offers of employment are contigent upon successful completion of a background check. Benefits of Working at Brown: Information
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of professional experience in a research-intensive environment, demonstrating a track record of managing large-scale data projects and high-level academic operations. Expert-level coding skills (Stata, R, Python