481 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Maryland, Baltimore
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Responsibilities Perform CAR T cell generation and functional assays under guidance of senior lab members Conduct flow cytometry–based immune phenotyping and cytokine analyses Analyze and interpret data from
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for employment without regard to race, color, religion, age, ancestry or national origin, sex, pregnancy or related conditions, sexual orientation, gender identity or expression, genetic information, physical
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with regional anesthesia is preferred. Hiring Range $178,000.00 - $200,000.00 Benefits Information: UMB offers a generous benefits package that includes 22 vacation days, 14 floating and holidays, 15
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contribute to that goal are encouraged to apply and to identify their strengths in this area. Benefits Information: UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance
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check. REQUIRED SKILLS AND ABILITIES Ability to apply basic analytical skills; to operate manual and automated office equipment, personal computers, and spreadsheet software to input data; to communicate
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or related conditions, sexual orientation, gender identity or expression, genetic information, physical or mental disability, marital status, protected veteran's status, or any other legally protected
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, including anesthesia, and perform euthanasia process. May participate in the design of research studies and assist with budget tasks for research studies/projects. - Compile and may analyze research data
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. - Compile and may analyze research data using various relevant computer software applications. - Assist with literature research, editing and preparing manuscripts, scientific illustrations and computer
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. Read the UMB Notice of Non-Discrimination for more information. Job : Faculty Organization : School of Dentistry - Clinical Science Job Posting : Mar 30, 2026
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gene function and pathways. Data Analysis and Interpretation: Analyze complex datasets involving gene expression (bulk and single-cell), protein expression, and cellular interactions using bioinformatics