Columbia University
AI

Postdoctoral Research Scientist on Artificial Intelligence and Machine Learning in Biomedicine

Columbia University · US

Actively hiring Posted 4 months ago

The Laboratory of AI & Biomedicine Science (LABS) at the Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID) at the Radiology Department at Columbia University has multiple open postdoctoral positions. The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (AI/ML) methodologies to “big data” in multi-omics and medical data for aging and diseases, such as Alzheimer’s disease. We emphasize utilizing advanced AI/ML techniques and multi-omics data, including MRI, genetics, transcriptomics, and proteomics, to solve clinically relevant problems for precision medicine. All relevant directions can be pursued based on discussions, interests, and expertise.

We are seeking highly motivated individuals with excellent academic track records and related expertise:

  • Ph.D. degree in any quantitative science, preferably in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, and Neuroscience.
  • Candidate should have a working knowledge of programming, including Linux, Python, and R.
  • Candidates having background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged.
  • Excellent communication and writing skills are required.
  • Underrepresented individuals/students are encouraged to apply.

Successful applicants will join a vibrant research environment and work closely with computational scientists and clinical investigators. Collaborators include faculty in our Radiology department, the Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), the New York Genome Center (NYGC), the Department of Biomedical Engineering (BME), and across the Columbia University Irving Medical Center (CUIMC).

instructions

For more information, please visit:

Laboratory of AI & Biomedicine Science (LABS): https://labs-laboratory.com/

Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID): https://www.cuimc.columbia.edu/news/new-columbia-center-will-leverage-ai-enhance-patient-care

Department of Radiology: https://www.columbiaradiology.org/

New York Genome Center (NYGC): https://www.nygenome.org/

Department of Biomedical Engineering (BME): https://www.bme.columbia.edu/

Columbia University Irving Medical Center (CUIMC): https://www.cuimc.columbia.edu/

For more details and to apply, contact:

Junhao Wen, PhD

Assistant Professor of Radiology and Computational Neuroscience

Department of Radiology and New York Genome Center (NYGC)

Director of Imaging Genetics Research, Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID)

[email protected]

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

Tags & focus areas

Used for matching and alerts on DevFound
Ai Machine Learning
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.