Computational Scientist

Title:

Computational Scientist

Job Type:

Regular

Company:

Roswell Park Comprehensive Cancer Center

Department:

Information Technology

Time Type:

Full time

Weekly Hours:

40

FTE:

1

Shift:

First Shift (United States of America)

Summary:

Summary:
The Computational Scientist will promote both conventional and deep machine learning (ML) and artificial intelligence (AI) research throughout Roswell Park. This role involves brokering ML/AI engagements between Roswell Park researchers and the Information Technology department (IT), offering senior-level technical expertise to facilitate ML/AI demands. The candidate will work in close collaboration with various departments, including genomics, bioinformatics, and immunology, and serve as a subject matter expert in the area of ML/AI in oncology. The Computational Scientist is expected to stay up to date with state-of-the-art developments in medical imaging, machine learning, and AI, applying cutting-edge techniques to enhance research efforts across the institution.
This position plays a key role in advancing medical imaging and radiomics research at Roswell Park. The candidate will collaborate with principal investigators (PIs) on grant applications and research projects related to image deidentification, segmentation, preprocessing, feature extraction, and building predictive models. They will also work with system architects on the development and application of in-house tools, such as nSight and Imagine, for data discovery and medical image pipeline execution.
In this role, you will:
• Promote and facilitate ML/AI research initiatives across Roswell Park.
• Collaborate on the design and execution of machine learning (ML) and radiomics-based research projects.
• Apply state-of-the-art Python-based tools (e.g., PyTorch, SciPy) for image segmentation, feature calculation, and model building.
• Stay up to date with the latest research in medical imaging, machine learning, and AI to ensure the application of cutting-edge techniques.
• Ensure proper image processing, including anonymization, segmentation, and outcome prediction model construction.
• Develop and manage containerized applications using Docker and Podman.
• Work with system architects to optimize and implement in-house tools for large-scale medical imaging workflows.
• Provide advanced training and user support for researchers in oncology-focused ML/AI applications. Hybrid work options are available.

Salary range for this position is $120,984 - $147,726 annually which includes a comprehensive benefits package.

Qualifications:

Required Education and Experience
1. Bachelor’s degree in Machine Learning, Data Science, Computer Science, Statistics, or related field of science or engineering and the equivalent of three (3) years of full-time work experience applying machine learning to real-world problems and with AI frameworks and data analytics; or
2. Associate's degree in Machine Learning, Data Science, Computer Science, Statistics, or related field of science or engineering and the equivalent of five (5) years of full-time work experience applying machine learning to real-world problems and with AI frameworks and data analytics; or
3. High School diploma or High School Equivalency diploma and the equivalent of seven (7) years of full-time work experience applying machine learning to real-world problems and with AI frameworks and data analytics.
NOTE:
Required degrees must have been granted by an accredited college or university or one recognized by Roswell Park Comprehensive Cancer Center as following acceptable educational practices.

Preferred Qualifications:

• Strong experience with Python, including libraries such as PyTorch and SciPy.
• Familiarity with radiomics tools (e.g., PyRadiomics) and their application in medical imaging analysis.
• Experience with containerized environments, including Docker and Podman.
• Experience with workflow orchestration tools like Airflow or similar tools.
• Experience working on medical image processing, segmentation, and radiomics.
• Proven track record of collaborating on grant applications and research projects in a medical or academic setting.
• Ability to stay up to date with state-of-the-art advancements in machine learning, medical imaging, and AI.
• PhD in Machine Learning, Data Science, Computer Science, Statistics, Medical Imaging, or a related field. At least three (3) years of full-time work experience in medical imaging, machine learning, or radiomics.

Equal Employment Opportunity Statement

Roswell Park Cancer Institute Corporation (RPCIC) and Health Research Inc. (HRI) Roswell Park Division believe that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants or job seekers because of their race, color, religion, sex, sexual orientation, gender identity or expression, national origin, creed, age, disability, pregnancy-related condition, military or veteran status, marital or familial status, domestic violence victim status, citizenship status, genetic information, individual’s relationship or association with a member of a protected category or any other protected group status as defined by law.

Reasonable Accommodation Request

RPCIC and HRI are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please email HR-PayAndBenefits@RoswellPark.org and let us know the nature of your request and your contact information.

Our Core Values

RPCIC and HRI are committed to providing an environment where patients, families, employees and community are treated with courtesy and respect. We support an inclusive environment that nurtures the talents, skills and abilities of each individual to embody and reflect our core values: Innovation, Integrity, Teamwork, Commitment, Compassion and Respect.

Historical Compensation Information Statement 

Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor’s Office of Employee Relations at (518) 474-6988 or via email at info@goer.ny.gov.