Postdoctoral Scholar- Goldstein Lab

Northwestern University; Chicago (IL); On-site; USD 57,000 - 70,000; Full time

Job summary

Northwestern University’s MED-Pathology division seeks a postdoctoral fellow to develop methods for analyzing pathology images using ML and deep learning. You will manage research datasets, collaborate with interdisciplinary teams, and contribute to manuscripts and conference presentations.

The role emphasizes Python programming, Linux environments, and large-scale data handling. The fellowship offers access to substantial imaging resources, a compute cluster, and opportunities to translate

Qualifications

• PhD in computer science, computational biology, bioinformatics or similar.
• Advanced Python programming skills.
• Experience working with Linux-based systems.

Responsibilities

• Develop methods for analyzing pathology images.
• Management of research datasets.
• Interact with collaborators, other postdocs, and graduate students to achieve project goals.
• Manuscript development.
• Attendance at conferences and symposia where results will be presented in poster or talk formats.

Skills

Python programming

Linux-based systems

Education

PhD in computer science, computational biology, bioinformatics or similar

Tools

Git

Computer Vision

Deep Learning

Medical Imaging

Job description

Department

MED-Pathology

Salary/Grade

RES/

Minimum Pay

The minimum pay for this position is $63,480in alignment with departmental equity and market data

How do events before birth shape a life-long trajectory?

Who we are

A lab dedicated to improving maternal-child outcomes through understanding of the placenta. (wait, what’s a placenta?) An organ that develops in pregnancy that supports fetal survival and growth. Most problems in pregnancy are caused by the placenta or leave a signature that we can study.

What we do

Our major techniques are ML analysis of whole slide placental histology images, combined with multimodal patient data. Candidates have the option to expand their work to incorporate analysis of spatial multiplex data including transcriptomics and immunofluorescence.

Some Recent Representative Work

• Chou et al., Quantitative Modeling to Characterize Maternal Inflammatory Response of Histologic Chorioamnionitis in Placental Membranes. Am J Reprod Immunol. 2024 Oct;92(4):e13944. doi: 10.1111/aji.13944.
• Ayadet al., “Deep learning for fetal inflammatory response diagnosis in the umbilical cord.” Placenta. 2025 Jun 26;167:1-10. doi: 10.1016/j.placenta.2025.04.013

The project

Events in pregnancy can have long-lasting effects for offspring. Children exposed to mothers with HIV have higher rates of abnormal growth and infection as children, even if there is no HIV transmission.

We are a small piece of an ambitious project that will follow children up to 10 years old and link their birth and placental findings to developmental outcomes.

This fellow will collaborate with an interdisciplinary team of machine learning, image analysis, and software engineering experts and will have access to data and resources to develop, validate, and translate their work. Candidates must have strong computational skills and a PhD with research experience in ML or computationally intensive biology. Preference will be given to recent graduates of US institutions or who are currently employed in the US and who are immediately eligible to work.

The Division of Computational Pathology at Northwestern was formed to improve pathology practice and research through the application of AI techniques. We have created a research environment where pathologists and computational scientists from different backgrounds collaborate to develop AI tools and translate them into clinical practice. We maintain an institutional repository containing >100,000 images linked to diagnostic and clinical data, a dedicated computing cluster, and a platform for image viewing, annotation, and data management. Our hospital system is implementing digital pathology for clinical operations and has experience with operationalizing AI tools.

This position is supervised by Dr. Jeffery A. Goldstein and the primary appointment will be in the department of pathology on the Downtown Chicago Streeterville campus. Northwestern has a vibrant AI research community, with the Institute of Augmented Intelligence in Medicine and AI@NU. The fellow will have opportunities to collaborate with Lee Cooper, head of the division of computational pathology, as well as other faculty in the Department of Pathology, Prentice Women’s Hospital, the Lurie Cancer Center, and the McCormick School of Engineering.

Principle Responsibilities

• Develop methods for analyzing pathology images
• Management of research datasets
• Interact with collaborators, other postdocs, and graduate students to achieve project goals
• Manuscript development
• Attendance at conferences and symposia where results will be presented in poster or talk formats

Requirements

• PhD in computer science, computational biology, bioinformatics or similar.
• Advanced level of Python programming
• Experience working with Linux-based systems

Preferred

• Experience with software optimization and large-scale datasets
• Experience with Git version control
• Experience in computer vision and deep learning
• Experience with medical images

Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status.

View Northwestern’s non-discrimination statement.

Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance.

View additional information on the accommodations process.