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Postdoctoral Research Associate - College of Engineering - Department of Mechanical Engineering
Lead experimental workstreams to characterize and evaluate engineered mammalian cells for therapeutic output and biomarker sensing in osteoporosis research. Coordinate with interdisciplinary teams to translate biological performance into engineering specifications for implantable bio-integrated devices.
Requirements
Requires a Ph.D. in Biology, Bioengineering, Mechanical Engineering, or a related field with 3-5 years of experience in quantitative cell-based experiments. Proficiency in sterile techniques, fluorescence imaging, and molecular assay workflows is required.
Full job description
Carnegie 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!
Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university.
Carnegie Mellon University’s department of Mechanical Engineering is searching for a Postdoctoral Research Associate to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by working on the characterization and device-relevant evaluation of engineered mammalian cells designed for therapeutic output and biomarker sensing in the context of osteoporosis.
This position will focus on assessing engineered cells and adapting them for use with in implantable bio integrated device environments. The postdoctoral associate will design and execute studies of cell viability, growth, functionality, optical reporter performance, stimulation response, stability, and longevity under controlled in vitro and device-relevant conditions. The role will require close coordination with external collaborators and internal devices, tissue- engineering, optics, and systems-integration teams.
The position is intended for a highly capable experimentalist who can connect cell biology with quantitative engineering requirements, build rigorous test plans, troubleshoot complex assays, and generate milestone ready datasets
Core Responsibilities:
Lead experimental workstreams that address project milestones in a timely and rigorous manner.
Design, execute, analyze, and document quantitative studies of engineered-cell performance.
Coordinate with external collaborators to receive, culture, characterize, and test engineered cell lines.
Work with device and systems teams to translate biological performance requirements into testable engineering specifications.
Prepare SOPs, study plans, data-analysis pipelines, technical reports, presentations, and manuscript/proposal materials.
Maintain high standards for data integrity, reproducibility, biosafety, and traceable documentation.
Mentor graduate students, technicians, and other trainees as appropriate.
Participate in regular internal and multi-institutional project meetings.
Identify technical risks early and propose mitigation or contingency experiments.
Characterize engineered cells under standard and device-relevant culture conditions.
Evaluate cell viability, growth, morphology, function, reporter expression, and long-term stability in relevant in vitro environments.
Assess cell performance in matrices, compartments, or culture configurations relevant to implantable systems.
Develop assays to evaluate stimulation-response behavior, secreted therapeutic output, optical reporter performance, and biomarker-responsive readouts.
Coordinate cell-line transfer, banking, quality-control documentation, and repeatability studies.
Compare cell performance across culture formats, materials, oxygen/nutrient conditions, and longer-duration test periods.
Support integration of engineered cells with optical, electronic, and tissue- engineered device subsystems.
Generate milestone-ready datasets that inform cell-selection, device-integration, and functional-validation decisions.
Perform other project-related duties as assigned.
Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications:
Ph.D. in Biology, Biomedical Engineering, Mechanical Engineering, Bioengineering, Cell Biology, Molecular Biology, Synthetic Biology, or a closely related field
3-5 years of experience
Experience designing and executing quantitative cell-based experiments, including cell viability, proliferation, functional stability, reporter output, dose-response, and longitudinal performance studies.
Familiarity with sterile technique, fluorescence imaging or plate-reader assays, molecular/cellular assay workflows, and statistical analysis is required.
Experience with synthetic biology, optogenetic or electrogenetic systems, hormone/peptide secretion assays, calcium signaling, or device-based cell culture is strongly preferred.
Preferred training includes BSL-2 training, biosafety training, chemical hygiene training, human/animal-subjects compliance training if later required by assigned studies.
A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Joining the CMU team opens the door to an array of exceptional benefits.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. 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 an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Pre/Post-Doctoral Associates & Fellows
Position Type
Postdoctoral Associate / Fellow (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
The Language Technologies Institute at the Carnegie Mellon University School of Computer Science educates the leaders of tomorrow and performs groundbreaking research in the areas of Natural Language Processing and Computational Linguistics; Information Extraction, Summarization & Question Answering; Information Retrieval, Text Mining & Analytics; Knowledge Representation, Reasoning & Acquisition; Language Technologies for Education; Machine Learning; Machine Translation; Multimodal Computing and Interaction; Speech Processing; and Spoken Interfaces & Dialogue Processing.
Offices: Carnegie Mellon University, School of Computer Science, Language Technologies Institute, Gates Hillman Complex, 5000 Forbes Avenue, GHC 5404, Pittsburgh, Pennsylvania 15213-3891, US
The Language Technologies Institute at the Carnegie Mellon University School of Computer Science educates the leaders of tomorrow and performs groundbreaking research in the areas of Natural Language Processing and Computational Linguistics; Information Extraction, Summarization & Question Answering; Information Retrieval, Text Mining & Analytics; Knowledge Representation, Reasoning & Acquisition; Language Technologies for Education; Machine Learning; Machine Translation; Multimodal Computing and Interaction; Speech Processing; and Spoken Interfaces & Dialogue Processing.
Offices: Carnegie Mellon University, School of Computer Science, Language Technologies Institute, Gates Hillman Complex, 5000 Forbes Avenue, GHC 5404, Pittsburgh, Pennsylvania 15213-3891, US