Thomas Fuchs Lab :: Open Positions

Machine Learning Scientist

Machine learning and deep learning are changing how cancer patients are diagnosed and treated in modern hospitals. Computational Pathology leverages large-scale machine learning on high performance compute infrastructure to transform pathology from a qualitative to quantitative science. You will work in an exciting interdisciplinary environment with the potential to directly impact medical research, cancer care and patients lives.

For our computational pathology group, we are looking for a Machine Learning Scientist who will lead in the development, training and testing of Machine Learning which will aid in the clinical assessment and understanding of cancer. The massive amount of digital pathology image data at MSKCC provides a unique opportunity within the field of computer vision and cancer research for conventional and unconventional modeling with clinical relevance, such as (semi-)supervised, weakly supervised and unsupervised machine learning methods.

You Will:

Work and collaborate with a diverse team of machine learning experts, software engineers and medical doctors to build a new generation of artificial intelligence in cancer detection and treatment
Employ statistical methodologies on high volumes of data to solve novel problems.
Build software and create actionable insights.
Work at a high level of complexity in relation to image data, deep learning, and/or computational pathology and know statistical programming languages including but not limited to: R, Python, & Matlab.
Have the opportunity to leverage a modern compute cluster with hundreds of GPU’s and the largest cluster of DGX nodes in the field.

Required Skills:

Doctorate in Computer Science with an emphasis on Machine Learning or Computer Vision.
An outstanding publication history in machine learning and/or computational pathology which includes a track record with established machine learning conferences, e.g., MICCAI, CVPR, ICML, etc.
Strong knowledge and background in machine learning, deep learning, computer vision and/or medical imaging, preferably in the pathology domain
Experience in high performance computing (HPC).
Ability to excel working both independently and within a team, possessing a collaborative research mindset allowing them to work comfortably together with pathologists, AI researchers (same field and other fields), and computer scientists.
Ability to offer mentorship and guidance to others.

Desired Skills:

Interest in the independent development and testing of hypotheses and are creative in finding both conventional and unconventional solutions, e.g., you don’t stop with the outcome of a model, but also make interpretations and connect results with business needs.
Savvy at tackling deeper questions and exploring new approaches.
Interest in medical data analysis.
Maintains and enhances professional growth and development through participation in scientific and technical discussions, workshops, and seminars to keep current with developments in web technology and computational tools.

E-mail

virgoc@mskcc.org

Apply

Postdoctoral Positions

The Thomas Fuchs Lab welcomes applications for postdoctoral positions. Postdoctoral applicants should have a PhD in computer science, statistics, computational biology, medicine, or a related field, a solid publication record and strong professional references.

The ideal candidate has demonstrated experience in the analysis of microscopy or medical data, knowledge of pathology, and significant programming experience pertinent to the analysis of large and diverse datasets.

Application Requirements

Candidates should send a research statement, a CV, and a cover letter including names of three referees to Thomas Fuchs. If funding via a fellowship is possible, please contact Dr. Fuchs in order to discuss his support and possible research projects.

E-mail

virgoc@mskcc.org

Apply Now

Lab Rotations

We offer a range of rotational short-term projects for interested students. Those projects run for approximately 3 months and are targeted towards a technical report or a scientific paper. Typical rotational projects are:

development of modules for the web framework for automated histologic tissue analysis,
exploration of various machine learning methods for specific tissue classification tasks, or
analysis of individual cohort studies with automated image analysis techniques.

This list is not exclusive, so feel free to ask us about current projects.

Application Requirements

Ideal candidates have a background in medical life sciences and a technical area such as computer science, statistics, math, or physics, and a vivid interest in medicine or medical informatics.

Students who are already enrolled in a graduate program and wish to explore the possibility of rotating in the lab should send a CV and a brief statement of interest to Dr. Fuchs.

E-mail

virgoc@mskcc.org

Apply Now

Graduate Training

The Thomas Fuchs Lab welcomes applications for graduate training positions. We participate in the graduate programs offered by Weill Cornell Medical College, including

the Computational Biology and Medicine program,
the MD/PhD program, and
the Physiology, Biophysics, and Systems Biology program (PBSB).

Ideal candidates have a solid technical education in areas such as computer science, statistics, math, or physics, and a vivid interest in medicine or medical informatics.

Application Requirements

Prospective graduate students may apply directly to any of the above graduate programs and mention Thomas Fuchs in their application. Candidates should also feel free to get in contact with Dr. Fuchs before submitting their application to discuss the various programs, the research environment, and the laboratory’s research.

Students who are already enrolled in a graduate program and wish to explore the possibility of rotating in the lab should send a CV and a brief statement of interest to Dr. Fuchs.

E-mail

virgoc@mskcc.org

Apply Now