Graduate Research Assistant

Intelligence and National Security Alliance; New York (NY); On-site; USD 43,000 - 53,000; Full time

Job summary

Join a leading healthcare institution as a Graduate Research Assistant in the Advanced Computing and Oncology Laboratory. Collaborate with top researchers on innovative projects in cancer imaging and AI research, while supporting key initiatives that improve patient outcomes. This position offers extensive career advancement opportunities within a dynamic environment dedicated to transforming cancer treatment and research.

Qualifications

• Proven experience in data analysis and statistical modeling.
• Proficiency in programming languages such as Python and R.
• Familiarity with image visualization and processing software like 3D Slicer.

Responsibilities

• Support projects involving radiology, digital pathology, and genomics.
• Gather data and assess new AI/ML predictive models for oncology applications.
• Manage data acquisition, organization, and visualization.

Skills

Data analysis

Statistical modeling

Problem-solving

Communication

Attention to detail

Interpersonal skills

Education

Bachelor’s or Master’s degree in computer science, data science, or engineering

Tools

3D Slicer

Python

R

Job description

Company Overview

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

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Job Description

Exciting Opportunity at MSK: Graduate Research Assistant

Join MSK as a Graduate Research Assistant (GRA) in the Advanced Computing and Oncology Laboratory within the Department of Radiation Oncology. This is an outstanding opportunity to engage in groundbreaking projects related to cancer imaging, visual computing, and advanced modeling of multimodal oncology data. Work alongside world-class researchers and clinical oncologists to make a significant impact on medical AI research and cancer outcomes.

Role Overview:

The Graduate Research Assistant will provide support for projects involving radiology, digital pathology, genomics, and circulating tumor markers. Work with the principal investigator (PI) to gather data and assess new AI/ML predictive models for oncology applications. This position emphasizes research activities and the management of data acquisition, organization, and visualization to facilitate data-driven science

Key Qualifications:

• Bachelor’s or Master’s degree in a relevant field such as computer science, data science, or engineering, or equivalent experience
• Proven experience in data analysis and statistical modeling
• Proficiency in programming languages such as Python and R

Core Skills:

• Familiarity with image visualization and processing software like 3D Slicer
• Outstanding problem-solving skills and attention to detail
• Strong communication and interpersonal skills
• Ability to work successfully in a fast-paced and dynamic environment

Additional Information:

This role offers an outstanding opportunity to advance your career in an encouraging and innovative environment. Collaborate with a hard-working team dedicated to revolutionizing cancer research and treatment.

Pay Range: $43,000 to $52,500

Helpful Links:

• MSK Compensation Philosophy
• Review Our Greats Benefits Offerings

Closing

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status, or any other factor that cannot lawfully be used as a basis for an employment decision.

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