The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its ... Proficiency in constructing machine learning models for describing and predicting experimental ...
The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its ... Proficiency in constructing machine learning models for describing and predicting experimental ...
The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its ... Proficiency in constructing machine learning models for describing and predicting experimental ...
The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its ... Proficiency in constructing machine learning models for describing and predicting experimental ...
Continuing Non-Tenure-Track Teaching Faculty Position - Biomedical Engineering
Villanova, PA · On-site
The Biomedical Engineering Undergraduate Program (BSBME) at Villanova University invites ... machine learning, artificial intelligence, numerical modelling, or physiology. The ideal candidate ...
Continuing Non-Tenure-Track Teaching Faculty Position - Biomedical Engineering
Villanova, PA · On-site
The Biomedical Engineering Undergraduate Program (BSBME) at Villanova University invites ... machine learning, artificial intelligence, numerical modelling, or physiology. The ideal candidate ...
Responsibilities may include : (1) development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data; and (2) ...
Responsibilities may include : (1) development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data; and (2) ...
Develop novel or adapted algorithms in computer vision, machine learning, deep learning, signal processing, and statistics for multimodal biomedical data. * Design reproducible, scalable analytical ...
New
Develop novel or adapted algorithms in computer vision, machine learning, deep learning, signal processing, and statistics for multimodal biomedical data. * Design reproducible, scalable analytical ...
New
Perform exploratory data analysis in pediatric biomedical research using machine learning, statistics, and mathematical analysis incorporating heterogeneous and complex data types under direct ...
Perform exploratory data analysis in pediatric biomedical research using machine learning, statistics, and mathematical analysis incorporating heterogeneous and complex data types under direct ...
PhD in Biomedical Engineering, Mechanical Engineering, Materials Science and Engineering, or a ... electronics, and machine learning. Experience in mechanical and rheological testing of ...
PhD in Biomedical Engineering, Mechanical Engineering, Materials Science and Engineering, or a ... electronics, and machine learning. Experience in mechanical and rheological testing of ...
Open Rank Tenure Line Position in Computer Science (College of Engineering) /Huck Institute of Li...
University Park, PA · On-site
... machine learning into life science curricula. The focus of this search is on candidates with expertise in areas such as computational biology, bioinformatics, biomedical data science, health ...
Open Rank Tenure Line Position in Computer Science (College of Engineering) /Huck Institute of Li...
University Park, PA · On-site
... machine learning into life science curricula. The focus of this search is on candidates with expertise in areas such as computational biology, bioinformatics, biomedical data science, health ...
The Department of Biomedical Informatics (DBMI) ( is seeking to recruit faculty in biomedical informatics with expertise in artificial intelligence and machine learning (AI/ML) for tenure-track and ...
The Department of Biomedical Informatics (DBMI) ( is seeking to recruit faculty in biomedical informatics with expertise in artificial intelligence and machine learning (AI/ML) for tenure-track and ...
The Department of Biomedical Informatics (DBMI) ( is seeking to recruit faculty in biomedical informatics with expertise in artificial intelligence and machine learning (AI/ML) for tenure-track and ...
The Department of Biomedical Informatics (DBMI) ( is seeking to recruit faculty in biomedical informatics with expertise in artificial intelligence and machine learning (AI/ML) for tenure-track and ...
... Biomedical Data Translator." These programmers will develop the following components to be incorporated into the ARAX ( system: Implement statistical and machine learning techniques to augment graph ...
... Biomedical Data Translator." These programmers will develop the following components to be incorporated into the ARAX ( system: Implement statistical and machine learning techniques to augment graph ...
... Biomedical Data Translator." These programmers will develop the following components to be incorporated into the ARAX ( system: Implement statistical and machine learning techniques to augment graph ...
... Biomedical Data Translator." These programmers will develop the following components to be incorporated into the ARAX ( system: Implement statistical and machine learning techniques to augment graph ...
... Department of Biomedical Engineering (BME). Appointments will be considered at the rank of ... machine learning and AI, cognitive and systems neuroscience, neurotechnology, data science ...
... Department of Biomedical Engineering (BME). Appointments will be considered at the rank of ... machine learning and AI, cognitive and systems neuroscience, neurotechnology, data science ...
... machine learning, and robotics; and clinicians at major medical centers in greater Pittsburgh and ... D. in biomedical engineering or a related field and demonstrate evidence of excellence in research ...
... machine learning, and robotics; and clinicians at major medical centers in greater Pittsburgh and ... D. in biomedical engineering or a related field and demonstrate evidence of excellence in research ...
Sr. Data Scientist
Pittsburgh, PA · On-site +1
Design, develop, and implement health care analytic and biomedical modeling programs. * Converse ... Lead the development and deployment of advanced machine learning models. * Oversee the end-to-end ...
Sr. Data Scientist
Pittsburgh, PA · On-site +1
Design, develop, and implement health care analytic and biomedical modeling programs. * Converse ... Lead the development and deployment of advanced machine learning models. * Oversee the end-to-end ...
... biomedical technologies Expertise in one or more of the following areas: biomimicry, biofabrication techniques, biomaterials, biosensors, wearable electronics, and machine learning Experience with ...
... biomedical technologies Expertise in one or more of the following areas: biomimicry, biofabrication techniques, biomaterials, biosensors, wearable electronics, and machine learning Experience with ...
Enterprise Solutions Graph Database
Collegeville, PA · On-site +1
Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical ... Machine Learning. Technical Stack Preferences Graph DBs: AnzoGraph, Neo4j, Stardog, Languages:
Quick apply
Enterprise Solutions Graph Database
Collegeville, PA · On-site +1
Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical ... Machine Learning. Technical Stack Preferences Graph DBs: AnzoGraph, Neo4j, Stardog, Languages:
... of biomedical technologies • Expertise in one or more of the following areas: biomimicry, biofabrication techniques, biomaterials, biosensors, wearable electronics, and machine learning • ...
... of biomedical technologies • Expertise in one or more of the following areas: biomimicry, biofabrication techniques, biomaterials, biosensors, wearable electronics, and machine learning • ...
... machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g ... biomedical data science, health informatics, computational genomics, systems biology, or related ...
... machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g ... biomedical data science, health informatics, computational genomics, systems biology, or related ...
... and machine learning methods for analyzing electronic health records (EHRs) data, claims data, and biobank data; and (2) collaboration on cutting-edge translational biomedical research with ...
... and machine learning methods for analyzing electronic health records (EHRs) data, claims data, and biobank data; and (2) collaboration on cutting-edge translational biomedical research with ...
Biomedical Machine Learning information
See Pennsylvania salary details
$15.42 - $17.57
0% of jobs
$17.57 - $19.72
3% of jobs
$19.72 - $21.86
8% of jobs
$21.86 - $24.01
10% of jobs
$24.52 is the 25th percentile. Wages below this are outliers.
$24.01 - $26.16
19% of jobs
The median wage is $27.52 / hr.
$26.16 - $28.30
16% of jobs
$28.30 - $30.45
13% of jobs
$31.57 is the 75th percentile. Wages above this are outliers.
$30.45 - $32.60
12% of jobs
$32.60 - $34.74
9% of jobs
$34.74 - $36.89
6% of jobs
$36.89 - $39.04
4% of jobs
$15
$28
$39
How much do biomedical machine learning jobs pay per hour?
What is a Biomedical Machine Learning job?
A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.
What does a typical day look like for someone in a Biomedical Machine Learning role?
A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.
What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?
To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.
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Research Associate I - College of Engineering - Biomedical Engineering
Carnegie Mellon UniversityPittsburgh, PA • On-site
Part-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 23 days ago
Carnegie Mellon University rating
8.6
Based on 24 frontline employees who took The Breakroom Quiz
51st of 537 rated colleges and universities
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!
The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex healthcare challenges. Located within CMU's College of Engineering, the department emphasizes the integration of engineering principles with biomedical sciences to address pressing medical and biological issues. The department is characterized by its focus on creating impactful technologies and therapies that improve patient care and advance biomedical innovation globally.
The Engineered Morphogenesis Group is part of the Department of Biomedical Engineering at Carnegie Mellon University (CMU) on the Pittsburgh campus. We aim to develop next- generation theragnostic technologies and treatments for genetic and environmentally induced pathologies. Our research probes the interplay between stem cells and (patho)physiology. through the engineering of organoids (three-dimensional miniature tissues with organotypic features) for biorobotic and pharmaceutical applications. We are seeking a Laboratory Automation Engineer (Part-Time / Intern, 20 hours/week anticipated) to help devise, trial, and test new automated workflows in CMU's Biological & Chemical Innovation Cloud Lab (Cloud Lab) to support increased throughput in cell and organoid culture. Work in this position will be highly interdisciplinary, combining robotics and tissue engineering to deliver a robust and reproducible culture platform capable of facilitating high-volume testing of environmental pollution exposure, viral and bacterial infection, and therapeutic screening. This role is ideal for engineers who enjoy problem-solving and hands-on experimentation, have strong attention to detail, and value developing technologies with tangible real-world applications.
Core Responsibilities:
Cell & Organoid Engineering:
- Learn the fundamentals of cell and organoid culture, achieving proficiency as monitored by supervisors.
- Become familiar with existing experimental workflows.
Automation, Testing, & Analysis:
- Learn and use automation technologies available in the Cloud Lab, including both hardware and software systems.
- Integrate automation technologies into existing workflows with an emphasis on throughput and reproducibility.
- Synthesize and analyze data generated from automated experiments to inform iterative workflow improvement.
Collaboration:
- Work closely with cell culture teams to develop and integrate automated workflows.
- Regularly participate in and present during group meetings, covering project overviews,
results, and future goals.
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:
- Currently pursuing or recently completed a MS degree in Computer Science, Biomedical Engineering, Mechanical Engineering, or a related field. Outstanding recent BS graduates will also be considered.
- Proficiency in constructing machine learning models for describing and predicting experimental outcomes.
- Prior experience in laboratory automation for life sciences is highly desirable.
- Prior experience with cell and tissue culture is desirable but not required.
- Ability to work onsite in Pittsburgh, PA.
- A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Requirements:
- Successful Background check
Perks & Growth Opportunities:
- Competitive compensation, commensurate with experience.
- Opportunity to work at the forefront of biomedical innovation, integrating robotics and automation.
- Extensive collaboration with biomedical engineers, scientists, and engineers at the CMU Cloud Lab.
- Hands-on access to emerging technologies in cell and tissue culture and laboratory automation.
- Opportunity for publishing and presenting research.
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
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, PAJob Function
ResearchersPosition Type
Staff - Fixed Term (Fixed Term)Full Time/Part time
Part timePay Basis
HourlyMore Information:
Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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