Reference #: 2021005Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

　　The Ray and Stephanie Lane Computational Biology Department (CBD) within the School of Computer Science is searching for a highly skilled and motivated Research Assistant with expertise in cryo-electron tomography (cryo-ET) data analysis to join the research team. This role is pivotal in advancing our understanding of cellular and molecular structures through cutting-edge cryo-ET techniques.

　　Your core responsibilities will include:Cryo-ET Data Processing: Execute advanced cryo-ET data processing using state-of-the-art software tools, including IMOD, Relion, or other relevant software, to align and reconstruct tomograms from raw data.Algorithm Design: Develop and implement novel algorithms and computational techniques to enhance the accuracy and efficiency of cryo-ET data processing, subtomogram averaging, and structural interpretation.Particle Picking and Segmentation: Expertly identify and segment macromolecular structures and cellular components within cryo-ET volumes, ensuring accurate and comprehensive annotations.Structural Interpretation: Analyze and interpret cryo-ET reconstructions to derive meaningful insights into the organization and function of cellular structures and macromolecules.Collaborative Research: Collaborate with fellow researchers and teams to integrate cryo-ET data into broader research projects, facilitating interdisciplinary exchange and contributing to the collective scientific goals.

　　Inclusion and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who can effectively interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work.

　　Qualifications:High School Diploma required; Master's Degree preferred0-1 years of demonstrated experience.Experience in data collection, analysis, data entry, and record management.A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

　　Requirements:Successful background check

　　At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role's responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

　　Are you interested in this exciting opportunity?! Apply today!

　　LocationPittsburgh, PAJob FunctionResearchersPosition TypeStaff - Fixed Term (Fixed Term)Full Time/Part timePart timePay BasisHourlyMore Information:

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　　Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

　　Carnegie Mellon University considers applicants for employment without regard to, and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.