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  1. Home
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  5. Research Associate I - College of Engineering - Biomedical Engineering
Software Engineering Institute | Carnegie Mellon University logo

Research Associate I - College of Engineering - Biomedical Engineering

Not Disclosed•Part-TimeOn-site

location_onVeterans Bridge, Strip District, Pittsburgh, Allegheny County, Pennsylvania, 15222, United States

Apply Now

About Carnegie Mellon University

Carnegie Mellon University is a private, global research institution renowned for inventing the future through ground-breaking brain science, creative start-ups, big data, and hands-on learning. We stand among the world's most prestigious education institutions, challenging the curious to deliver work that matters. Our mission is to create a healthier, safer, and more just life for all by connecting and collaborating with dedicated, passionate colleagues in a vibrant, welcoming environment.

About the Engineered Morphogenesis Group

Located within the Department of Biomedical Engineering at CMU's College of Engineering, the Engineered Morphogenesis Group is dedicated to developing next-generation theragnostic technologies and treatments for genetic and environmentally induced pathologies. Our research probes the interplay between stem cells and physiology through the engineering of organoids—three-dimensional miniature tissues with organotypic features—for biorobotic and pharmaceutical applications. We focus on creating impactful technologies that improve patient care and advance biomedical innovation globally.

About the Role

We are seeking a Laboratory Automation Engineer (Part-Time / Intern) to join our Biological & Chemical Innovation Cloud Lab. In this highly interdisciplinary role, you will devise, trial, and test new automated workflows to support increased throughput in cell and organoid culture. You will combine robotics and tissue engineering to deliver a robust, reproducible culture platform capable of facilitating high-volume testing for environmental pollution exposure, viral and bacterial infection, and therapeutic screening.

This position is ideal for engineers who enjoy problem-solving and hands-on experimentation, possess strong attention to detail, and value developing technologies with tangible real-world applications. You will work closely with cell culture teams, regularly present project overviews and results during group meetings, and synthesize data to inform iterative workflow improvements.

Joining the CMU Team

Joining the CMU team opens the door to an array of exceptional benefits and opportunities for professional growth. Beyond competitive compensation, you will have access to comprehensive health and retirement benefits, tuition assistance, and a robust support network. You will collaborate with biomedical engineers, scientists, and engineers at the forefront of innovation, with opportunities to publish and present research. We value the whole package when extending offers, evaluating your unique skills, perspective, and work experience to ensure a perfect fit for your professional aspirations.

Application & Equal Opportunity

If you are passionate about joining a community that challenges the curious, we invite you to apply today. Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We appreciate your unique skills and the perspective you bring, and we are committed to cultivating an environment where everyone is valued and encouraged to contribute. For technical assistance or if you require assistance with the job application process due to a disability, please contact HR Services or Equal Opportunity Services.

Work location

Work model: On-site

location_on

Veterans Bridge, Strip District, Pittsburgh, Allegheny County, Pennsylvania, 15222, United States

Pittsburgh, Pennsylvania

Key Responsibilities

  • check_circleDevise, trial, and test new automated workflows for cell and organoid culture
  • check_circleIntegrate automation systems into existing workflows to improve throughput and reproducibility
  • check_circleCollaborate with cell culture teams to develop and integrate automated workflows
  • check_circlePresent project overviews, results, and future goals during regular group meetings
  • check_circleSynthesize and analyze data from automated experiments to inform iterative workflow improvements
  • check_circleLearn and utilize hardware and software automation technologies in the Cloud Lab

Requirements

  • verifiedCurrently pursuing or recently completed MS in CS, Biomedical Engineering, Mechanical Engineering, or related field
  • verifiedOutstanding recent BS graduates considered
  • verifiedProficiency in constructing machine learning models
  • verifiedPrior experience in laboratory automation for life sciences
  • verifiedPrior experience with cell and tissue culture
  • verifiedAbility to work onsite in Pittsburgh, PA
  • verifiedSuccessful background check

Nice to Have

Prior experience in laboratory automation for life sciences. Prior experience with cell and tissue culture.

Benefits & Perks

check_circleComprehensive medical, prescription, dental, and vision insurancecheck_circleGenerous retirement savings program with employer contributionscheck_circleTuition benefitscheck_circleAmple paid time off and observed holidaysLife and accidental death and disability insurance
Software Engineering Institute | Carnegie Mellon University logo
Company

Software Engineering Institute | Carnegie Mellon University

Industry

engineering

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

Intern

Job Type

Part-Time

Skills Required

Machine Learning

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Frequently asked questions about Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University

What does a Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University do?expand_more
In this Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University role, you will devise, trial, and test new automated workflows for cell and organoid culture; integrate automation systems into existing workflows to improve throughput and reproducibility; collaborate with cell culture teams to develop and integrate automated workflows; and present project overviews, results, and future goals during regular group meetings.
What are the requirements for this Research Associate I - College of Engineering - Biomedical Engineering role?expand_more
To qualify for the Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University position, applicants should have: Currently pursuing or recently completed MS in CS, Biomedical Engineering, Mechanical Engineering, or related field; Outstanding recent BS graduates considered; Proficiency in constructing machine learning models; Prior experience in laboratory automation for life sciences; Prior experience with cell and tissue culture; and Ability to work onsite in Pittsburgh, PA.
Where is the Research Associate I - College of Engineering - Biomedical Engineering role at Software Engineering Institute | Carnegie Mellon University located?expand_more
Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University is based in Veterans Bridge, Strip District, Pittsburgh, Allegheny County, Pennsylvania, 15222, United States. This is a on-site role.
Is this Research Associate I - College of Engineering - Biomedical Engineering job remote, hybrid, or on-site?expand_more
Software Engineering Institute | Carnegie Mellon University has listed this Research Associate I - College of Engineering - Biomedical Engineering role as on-site.
How much experience is required for this Research Associate I - College of Engineering - Biomedical Engineering role?expand_more
Candidates for Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University should have intern.
What skills do you need for the Research Associate I - College of Engineering - Biomedical Engineering role at Software Engineering Institute | Carnegie Mellon University?expand_more
Key skills for Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University include Machine Learning; Cell Culture; Organoid Culture; Laboratory Automation; Robotics; and Tissue Engineering.
What category does the Research Associate I - College of Engineering - Biomedical Engineering role belong to?expand_more
Research Associate I - College of Engineering - Biomedical Engineering at Software Engineering Institute | Carnegie Mellon University is part of the engineering job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

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Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
check_circle
check_circleFree Pittsburgh Regional Transit bus pass
check_circleAccess to Family Concierge Team for childcare needs
check_circleFitness center access
Cell Culture
Organoid Culture
Laboratory Automation
Robotics
Tissue Engineering
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