Research Technologist 2

Department: MED-Radiation Oncology
Salary/Grade: NEX/11

Target hiring range for this position will be between $50,000 - $58,000 per year or per hour. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.

Location: Northwestern University, Feinberg School of Medicine

Lab Focus: Artificial Intelligence, Machine Learning, and Computational Automation in Radiation Oncology and Clinical Translation

About Our Lab: Our dynamic, interdisciplinary laboratory at Northwestern University is at the forefront of integrating artificial intelligence (AI) and machine learning (ML) to revolutionize clinical workflows. We are building state-of-the-art computational infrastructure to automate and personalize care in radiation oncology, with research that has direct, impactful applications across multiple clinical domains. We aim to translate algorithmic innovations into tools that improve patient outcomes.

Position Overview: We are seeking a motivated and skilled Research Technologist II to join our team. This is a mentored position ideal for someone with a strong computational background who is eager to contribute to high-impact, translational AI/ML research. You will work directly with senior researchers and clinicians to develop, validate, and deploy deep learning models, playing a critical role in our mission to bridge the gap between cutting-edge AI research and clinical practice.

Our Recent Research

• Bin Lou*, Semihcan Doken*, et al. An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction.Lancet Digital Health. 2019.

• PT Teo. et al. Deterministic small-scale undulations of image-based risk predictions from the deep learning of lung tumors in motion. Medical Physics. 2022.

• James Randall, et al. Image-based deep neural network for individualizing radiotherapy dose is transportable across health systems.JCO Clinical Cancer Informatics. 2023.

• Sagnik Sarkar. et al. Deep learning for automated, motion-resolved tumor segmentation in radiotherapy. NPJ Precision Oncology. 2025.

Key Responsibilities:

• Develop, train, and validate deep learning models (e.g., CNNs, vision transformers) for medical image analysis, including segmentation, outcome prediction, and motion compensation.

• Assist in building and maintaining automated computational pipelines for large-scale medical image and data processing.

• Collaborate on research projects leading to publications in high-impact journals and presentations at national conferences.

• Contribute to the lab's computational infrastructure and data management systems.

• Participate in the analysis and interpretation of complex multimodal clinical datasets.

Desired Skill Sets & Qualifications:

• Required: Master's degree in Computer Science, Biomedical Engineering, Data Science, Physics, or a related quantitative field.

• Required: Demonstrated experience in Python programming and proficiency with deep learning frameworks (PyTorch or TensorFlow).

• Strongly Preferred: Experience with medical imaging data (DICOM, NIfTI) and libraries (ITK, SimpleITK, MONAI).

• Strongly Preferred: Familiarity with high-performance computing (HPC) clusters, cloud computing (AWS/GCP/Azure), and containerization (Docker/Singularity).

• Excellent problem-solving skills, analytical abilities, and a passion for translational research.

• Ability to work both independently and collaboratively in a fast-paced team environment.

Benefits

At Northwestern, we are proud to provide meaningful and competitive benefits. The available benefits package for this position will include health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre-tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available benefits, including eligibility details, visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.

Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.

Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more.

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.