Job Openings

Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Division of Artificial Medical Intelligence at the University of Colorado (CU) School of Medicine. Our team is a powerhouse of inter-disciplinary talent, comprising researchers from renowned institutions such as Harvard, MIT, Oxford, UCL, and CU Boulder. Our ranks include clinical ophthalmologists, computer and imaging scientists, programmers, and biomedical engineers. Together, we’re forging ahead in the development of state-of-the-art machine learning algorithms and software tools.

Faculty - Research Instructor, Assistant Professor

You will be working in our growing Division of Artificial Medical Intelligence in Ophthalmology at The University of Colorado (CU) School of Medicine and provide expertise on the development of artificial intelligence/machine learning algorithms by integrating multiple sources of patient-derived data to improve clinical decision-making. The position will also entail publication of research findings in top venues within the field, as well as leading inter-disciplinary teams (including clinical ophthalmology, computer/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation. Other responsibilities include ensuring research project deliverables are completed in a timely manner, supervising students and interns as well as helping out with management of regulatory activities associated with research studies, IRB submissions and assembling grant applications.

Essential criteria

  • Research Instructor:
  • Master’s or Doctoral degree (PhD, MD/PhD, or equivalent) in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field such as Mathematics, Engineering or Physics.
  • Research Instructor must hold an OD, PhD, or Masters followed by at least 2 years data management, project management and bioinformatic analyses experience.
  • Either clinical ophthalmology expertise or programming expertise (with extensive experience in machine learning and computer vision techniques) is required.
  • Assistant Professor:
  • Master’s or Doctoral degree (PhD, MD/PhD, or equivalent) in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field such as Mathematics, Engineering or Physics.
  • Research Assistant Professor must hold a PhD and at least 2 years of postdoctoral training working on AI/ML applications in biomedical imaging.
  • Either clinical ophthalmology expertise or programming expertise (with extensive experience in machine learning and computer vision techniques) is required.

Desirable skills

  • Instructor
  • Expertise, interest or training in working data sciences for ophthalmology
  • Strong publication record within ophthalmology, medical imaging, and/or computer science venues is preferred
  • Experience in teaching and mentorship of graduate students, undergraduate students, and high school students is desired
  • Assistant Professor
  • Expertise, interest or training in working data sciences for ophthalmology
  • Strong publication record within ophthalmology, medical imaging, and/or computer science venues is preferred
  • Experience in teaching and mentorship of graduate students, undergraduate students, and high school students is desired

Why work with us?

Collaboration and teamwork are core values of our lab. Together, we believe our interdisciplinary team can revolutionize clinical practice through cutting-edge AI and machine learning algorithms by harnessing a diverse array of patient data. By elevating clinical decision-making, we hope to create a future where clinicians are empowered in their decision making to the benefit of their patients. Beyond the world of research, our location offers a lifestyle unlike any other. If you have a passion for hiking, skiing, climbing, and exploring the breathtaking Rocky Mountains, you've found your perfect match.

How to apply

For more information or to express your interest, please do not hesitate to contact us. Send your resume and a compelling cover letter to:

  • Jayashree Kalpathy-Cramer: jayashree.kalpathy-cramer@cuanschutz.edu
  • Steve McNamara: steve.mcnamara@cuanschutz.edu.
  • Praveer Singh: praveer.singh@cuanschutz.edu

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Division of Artificial Medical Intelligence at the University of Colorado (CU) School of Medicine. Our team is a powerhouse of inter-disciplinary talent, comprising researchers from renowned institutions such as Harvard, MIT, Oxford, UCL, and CU Boulder. Our ranks include clinical ophthalmologists, computer and imaging scientists, programmers, and biomedical engineers. Together, we’re forging ahead in the development of state-of-the-art machine learning algorithms and software tools.

Data Scientist - Computer Vision and Machine Learning

You will be working in our growing Division of Artificial Medical Intelligence in Ophthalmology at The University of Colorado (CU) School of Medicine and provide expertise on the development of artificial intelligence/machine learning algorithms by integrating multiple sources of patient-derived data to improve clinical decision-making. The position will also entail publication of research findings in top venues within the field, as well as leading inter-disciplinary teams (including clinical ophthalmology, computer/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation. Other responsibilities include ensuring research project deliverables are completed in a timely manner, supervising students and interns as well as helping out with management of regulatory activities associated with research studies, IRB submissions and assembling grant applications.

Essential criteria

  • Bachelor’s degree in Computer Science or a related field.
  • A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis.
  • Two (2) years of experience in machine learning applied to computer vision and medical image analysis.
  • Six (6) months of experience with full-stack development or cloud computing with distributed or disparate tools that need to be interconnected.

Desirable skills

  • Master’s degree in Computer Science or a related field.
  • Experience working with medical imaging data such as fundus photographs, OCTs, computed tomography (CT) or magnetic resonance imaging.
  • Track record of publishing research in top AI-related venues (NeurIPS, ICML, ICLR, AAAI, CVPR, MICCAI, etc.).
  • Three (3) years of experience with Python, Numpy, Matplotlib, Pandas, Scipy, and Pytorch/TensorFlow.
  • Candidates should have experience working in multidisciplinary teams (e.g., clinicians, software engineers, data scientists) to develop real-world medical AI applications.
  • Good software engineering skills and familiarity with technologies such as Bash, Linux, Git, SQL, and Docker.

Why work with us?

Collaboration and teamwork are core values of our lab. Together, we believe our interdisciplinary team can revolutionize clinical practice through cutting-edge AI and machine learning algorithms by harnessing a diverse array of patient data. By elevating clinical decision-making, we hope to create a future where clinicians are empowered in their decision making to the benefit of their patients. Beyond the world of research, our location offers a lifestyle unlike any other. If you have a passion for hiking, skiing, climbing, and exploring the breathtaking Rocky Mountains, you've found your perfect match.

How to apply

For more information or to express your interest, please do not hesitate to contact us. Send your resume and a compelling cover letter to:

  • Jayashree Kalpathy-Cramer: jayashree.kalpathy-cramer@cuanschutz.edu
  • Steve McNamara: steve.mcnamara@cuanschutz.edu.
  • Praveer Singh: praveer.singh@cuanschutz.edu

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Division of Artificial Medical Intelligence at the University of Colorado (CU) School of Medicine. Our team is a powerhouse of inter-disciplinary talent, comprising researchers from renowned institutions such as Harvard, MIT, Oxford, UCL, and CU Boulder. Our ranks include clinical ophthalmologists, computer and imaging scientists, programmers, and biomedical engineers. Together, we’re forging ahead in the development of state-of-the-art machine learning algorithms and software tools.

Postdoctoral Researcher - Machine Learning in Ophthalmology

You will be working in our growing Division of Artificial Medical Intelligence in Ophthalmology at The University of Colorado (CU) School of Medicine, focusing on developing novel machine learning algorithms and related systems for applications in medical imaging. By collaborating closely with clinicians to facilitate deployment of AI into clinical practice, you will be helping to build solutions to real-world problems.

Essential criteria

  • PhD in computer science or related discipline such as mathematics, engineering or physics.
  • Experience in image processing or computer vision techniques
  • Proficiency in Python, C++, or other languages such as MATLAB and R
  • Comfortable using Linux environments and the terminal for running jobs non-interactively

Desirable skills

  • Familiarity with machine learning and deep learning packages such as PyTorch and TensorFlow.
  • Experience in working with medical images, particularly fundus photography and optical coherence tomography.
  • Experience in using containerization software such as Docker

Why work with us?

Collaboration and teamwork are core values of our lab. Together, we believe our interdisciplinary team can revolutionize clinical practice through cutting-edge AI and machine learning algorithms by harnessing a diverse array of patient data. By elevating clinical decision-making, we hope to create a future where clinicians are empowered in their decision making to the benefit of their patients. Beyond the world of research, our location offers a lifestyle unlike any other. If you have a passion for hiking, skiing, climbing, and exploring the breathtaking Rocky Mountains, you've found your perfect match.

How to apply

For more information or to express your interest, please do not hesitate to contact us. Send your resume and a compelling cover letter to:

  • Jayashree Kalpathy-Cramer: jayashree.kalpathy-cramer@cuanschutz.edu
  • Steve McNamara: steve.mcnamara@cuanschutz.edu.
  • Praveer Singh: praveer.singh@cuanschutz.edu

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Athinoula A. Martinos Center of the Massachusetts General Hospital (MGH). We are affiliated with the Health Sciences and Technology Program at MIT and Harvard Medical School. We are computer scientists, medical physicists, neuro-oncologists, MRI technicians, and clinical research coordinators. We focus broadly on quantitative and machine learning techniques in medical imaging, with a growing interest in deep learning. We try to bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators in and out of the MGH ecosystem.

Postdoctoral Researcher - Machine Learning and Ophthalmology

You will be a postdoctoral research fellow working in the exciting and dynamic fields of deep learning and medical imaging. Your main focus will be the development of novel deep learning algorithms for automated diagnosis, monitoring and risk assessment in retinopathy of prematurity (ROP), and other ophthalmic diseases. You will collaborate with clinician scientists at Oregon Health & Science University and other affiliated institutions to build solutions to real-world problems.

Outside of your own projects, you will also have responsibility for mentoring graduate students working on related projects. You will also have the opportunity to pursue theoretical projects on novel datasets, and collaborate with clinicians at MGH from a wide range of fields. You will be encouraged and supported to seek independent funding as you take the next step in your academic career.

Essential criteria

  • PhD in computer science or related discipline such as mathematics, engineering or physics.
  • Experience in image processing or computer vision techniques
  • Proficiency in Python, C++, or other languages such as MATLAB and R
  • Comfortable using Linux environments and the terminal for running jobs non-interactively

Desirable skills

We will consider applicants with any or all of the skills described below, or an ability to learn them independently.

  • Familiarity with machine learning and deep learning packages such as PyTorch and TensorFlow.
  • Experience in working with medical images, particularly fundus photography and optical coherence tomography.
  • Experience in using containerization software such as Docker

Why work with us?

We believe that our research has real potential to improve the standard of care for patients worldwide. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We have a history of publications in high impact journals, and you will be encouraged and supported to contribute to that effort. Further, we believe that a healthy work-life balance is the key to a success academic life, and regularly take time out to go bowling, climbing, and cooking!

How to apply

Do you want find out more? We would love to hear from you. Please send a message to kalpathy@nmr.mgh.harvard.edu with your C.V. and the contact information for three references.

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Athinoula A. Martinos Center of the Massachusetts General Hospital (MGH). We are affiliated with the Health Sciences and Technology Program at MIT and Harvard Medical School. We are computer scientists, medical physicists, neuro-oncologists, MRI technicians, and clinical research coordinators. We focus broadly on quantitative and machine learning techniques in medical imaging, with a growing interest in deep learning. We try to bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators in and out of the MGH ecosystem.

Postdoctoral Researcher - MR Image Acquisition and Machine Learning

You will be a postdoctoral research fellow working in the exciting and dynamic fields of deep learning and medical imaging. Your main focus will be the development of novel deep learning algorithms for the reconstruction and analysis of k-space data from magnetic resonance imaging data streams. You will work with clinical scientists and MRI physicists at the Massachusetts General Hospital to build solutions to real-world problems.

Outside of your own projects, you will also have responsibility for mentoring graduate students working on related projects, and will be supported as you seek independent funding to take the next step in your academic career. You will also have the opportunity to pursue theoretical projects on novel datasets, and collaborate with clinicians at MGH from a wide range of fields. You will be encouraged and supported to seek independent funding as you take the next step in your academic career.

Essential criteria

  • PhD in computer science or related discipline such as mathematics, engineering or physics.
  • Experience in image processing or computer vision techniques
  • Proficiency in Python, C++, or other languages such as MATLAB and R
  • Comfortable using Linux environments and the terminal for running jobs non-interactively

Desirable skills

We will consider applicants with any or all of the skills described below, or an ability to learn them independently.

  • Familiarity with machine learning and deep learning packages such as PyTorch and TensorFlow.
  • Experience in working with medical images, particularly in image acquisition and magnetic resonance imaging.
  • Experience in using containerization software such as Docker

Why work with us?

We believe that our research has real potential to improve the standard of care for patients worldwide. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We have a history of publications in high impact journals, and you will be encouraged and supported to contribute to that effort. Further, we believe that a healthy work-life balance is the key to a success academic life, and regularly take time out to go bowling, climbing, and cooking!

How to apply

Do you want find out more? We would love to hear from you. Please send a message to kalpathy@nmr.mgh.harvard.edu with your C.V. and the contact information for three references.

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Athinoula A. Martinos Center of the Massachusetts General Hospital (MGH). We are affiliated with the Health Sciences and Technology Program at MIT and Harvard Medical School. We are computer scientists, medical physicists, neuro-oncologists, MRI technicians, and clinical research coordinators. We focus broadly on quantitative and machine learning techniques in medical imaging, with a growing interest in deep learning. We try to bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators in and out of the MGH ecosystem.

Postdoctoral Researcher - Machine Learning Applications in Radiology

You will be a postdoctoral research fellow working in the exciting and dynamic fields of deep learning and medical imaging. Your main focus will be the development of novel deep learning algorithms for the analysis of imaging data in radiology, and their translation into practical clinical usage in the Massachusetts General Hospital. You will work with clinicians and end-users at the Massachusetts General Hospital to build solution to real-world problems.

Outside of your own projects, you will also have responsibility for mentoring graduate students working on related projects, and will be supported as you seek independent funding to take the next step in your academic career. You will also have the opportunity to pursue theoretical projects on novel datasets, and collaborate with clinicians at MGH from a wide range of fields. You will be encouraged and supported to seek independent funding as you take the next step in your academic career.

Essential criteria

  • PhD in computer science or related discipline such as mathematics, engineering or physics.
  • Experience in image processing or computer vision techniques
  • Proficiency in Python, C++, or other languages such as MATLAB and R
  • Comfortable using Linux environments and the terminal for running jobs non-interactively

Desirable skills

e will consider applicants with any or all of the skills described below, or an ability to learn them independently.

  • Familiarity with machine learning and deep learning packages such as PyTorch and TensorFlow.
  • Experience in working with images in radiology, particularly magnetic resonance imaging and positron emission tomography.
  • Experience in using containerization software such as Docker

Why work with us?

We believe that our research has real potential to improve the standard of care for patients worldwide. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We have a history of publications in high impact journals, and you will be encouraged and supported to contribute to that effort. Further, we believe that a healthy work-life balance is the key to a success academic life, and regularly take time out to go bowling, climbing, and cooking!

How to apply

Do you want find out more? We would love to hear from you. Please send a message to kalpathy@nmr.mgh.harvard.edu with your C.V. and the contact information for three references.

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Athinoula A. Martinos Center of the Massachusetts General Hospital (MGH). We are affiliated with the Health Sciences and Technology Program at MIT and Harvard Medical School. We are computer scientists, medical physicists, neuro-oncologists, MRI technicians, and clinical research coordinators. We focus broadly on quantitative and machine learning techniques in medical imaging, with a growing interest in deep learning. We try to bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators in and out of the MGH ecosystem.

Programmer Analyst

You will be a programmer and web developer for a lab working in the exciting fields of medical imaging, machine learning, and oncology. Your duties will include managing online machine learning competitions hosted by our lab and our collaborators, building software to extend our research tools to clinical users, creating public-facing web-tools to exhibit our imaging research, and in general being a point person for information technology and web development in our lab. You will also help to manage our multi-server GPU clusters and data storage devices, and help members of our lab successfully use and maintain organization on these servers.

Outside of your role as the lab’s technical lead, you will have the opportunity to collaborate with or pursue independent research or software projects. Whether your future plans lie in medicine, computer science, at Massachusetts General Hospital, or in any other direction, we are committed to providing you the experience and network necessary to advance in your career.

Essential criteria

  • BS or MS in computer science, physics or engineering required (4+ years of experience in programming can be a substitute for this requirement)
  • Proficiency in Python is required. Experience managing large-scale relational databases, managing containerization software such as Docker, and with web programming preferred.
  • Comfortable using Linux environments and the terminal for running jobs non-interactively.
  • Well-developed organizational and analytical skills, excellent written communication and interpersonal skills.
  • An eagerness to learn new technologies and employ them in day-to-day usage.

Desirable skills

We will consider applicants with any or all of the skills described below, or an ability to learn them independently.

  • Familiarity with machine learning and deep learning packages such as PyTorch and TensorFlow.
  • Experience in working with medical data.

Why work with us?

We believe that our research has real potential to improve the standard of care for patients worldwide. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We have a history of publications in high impact journals, and you will be encouraged and supported to contribute to that effort. Further, we believe that a healthy work-life balance is the key to a success academic life, and regularly take time out to go bowling, climbing, and cooking!

How to apply

To apply for this position, please complete the application on Massachusetts General Hospital’s website, link. If you have any questions about the position, do not hesitate to send a message to kalpathy@nmr.mgh.harvard.edu

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Athinoula A. Martinos Center of the Massachusetts General Hospital (MGH). We are affiliated with the Health Sciences and Technology Program at MIT and Harvard Medical School. We are computer scientists, medical physicists, neuro-oncologists, MRI technicians, and clinical research coordinators. We focus broadly on quantitative and machine learning techniques in medical imaging, with a growing interest in deep learning. We try to bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators in and out of the MGH ecosystem.

PhD Students

We are accepting PhD students in the lab. Graduate students are usually in either the Harvard/MIT HST, MIT EECS, or Harvard Biophysics PhD programs. Students will typically have a background in one or more of the following fields: computer science, data science, biomedical engineering, or imaging. If you do not, no worries - as long as you are willing to learn, we can provide mentorship to help you develop expertise. We have a variety of projects at the intersection of healthcare, machine learning, and imaging. We can also work with you to craft a project if you have a specific research interest/application.

Why work with us?

We believe that our research has real potential to improve the standard of care for patients worldwide. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We have a history of publications in high impact journals, and you will be encouraged and supported to contribute to that effort. Further, we believe that a healthy work-life balance is the key to a success academic life, and regularly take time out to go bowling, climbing, and cooking!

How to apply

Do you want find out more? We would love to hear from you. Please send a message to kalpathy@nmr.mgh.harvard.edu with your C.V. and the contact information for three references.

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Introduction

We are QTIM (https://qtim-lab.github.io)— the Quantitative Translational Imaging in Medicine Lab at the Athinoula A. Martinos Center of the Massachusetts General Hospital (MGH). We are affiliated with the Health Sciences and Technology Program at MIT and Harvard Medical School. We are computer scientists, medical physicists, neuro-oncologists, MRI technicians, and clinical research coordinators. We focus broadly on quantitative and machine learning techniques in medical imaging, with a growing interest in deep learning. We try to bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators in and out of the MGH ecosystem.

MEng Students

If you want to get involved in a project during the school year or over the summer, we have positions available! We support science fair projects, research projects, senior theses, and master’s theses. Previous research experience is not assumed, but an interest in machine learning and medical imaging is appreciated. We will provide mentorship to help you develop skills and support to help you complete your project.

Why work with us?

We believe that our research has real potential to improve the standard of care for patients worldwide. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We have a history of publications in high impact journals, and you will be encouraged and supported to contribute to that effort. Further, we believe that a healthy work-life balance is the key to a success academic life, and regularly take time out to go bowling, climbing, and cooking!

How to apply

Do you want find out more? We would love to hear from you. Please send a message to kalpathy@nmr.mgh.harvard.edu with your C.V. and the contact information for three references.

We are an equal opportunity employer and value diversity. We also know that the work of diversity and anti-discrimination extends past choices in hiring. We work every single day to make our lab an equitable and productive space for everyone, regardless of their race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


If none of the job opportunities above fit your goals, feel free to get in touch at qtim.lab@gmail.com if you are still interested in working with us in any capacity.