Data Analyst - Imaging Sciences

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 pursueour missionat MSK and around the globe.

Exciting Opportunity at MSK:

We are seeking a Data Analyst to join the Advanced Computing and Oncology research group within the Department of Radiation Oncology at Memorial Sloan Kettering Cancer Center. In this role, you will support groundbreaking projects focused on cancer imaging, visual computing, and the advanced modeling of multimodal oncology data, including radiology, digital pathology, genomics, and circulating tumor markers. Working closely with the principal investigator (PI), you will collect data and contribute to testing novel AI/ML predictive models with applications in oncology.

Our Department of Radiation Oncology is at the forefront of patient care and research, integrating clinical, translational, and laboratory-based innovation. Comprised of 7 services, 24 residents, and 57 faculty members, the Department plays a pivotal role in shaping current radiation oncology guidelines and standards of care. Our faculty are key collaborators with renowned organizations, including the Radiation Therapy Oncology Group, the National Comprehensive Cancer Network, and the National Cancer Institute.

Our state-of-the-art facilities include ten external-beam radiation therapy treatment machines, four simulators, and advanced motion management systems, such as RPM respiratory tracking, Calypso, VisionRT, and ExacTrac. With our cutting-edge linear accelerators and newly renovated brachytherapy suite, we offer a comprehensive, high-quality environment for research and patient care.

Role Overview:

Apply appropriate analytical techniques to explore data using linear and logistic regression, descriptive statistics, clustering, forecasting, mapping, and simulation in order to identify and analyze trends/patterns in oncology datasets
• Work with the PI to interpret data and identify data needs
• Implement data acquisition, curation, and management processes
• Support the evaluation of predictive algorithms to address a range of research questions
• Maintain data visualizations to facilitate data-driven decision-making

Key Qualifications:

• experience working in a relevant field such as computer science, data science, or engineering
• Proficiency in programming languages such as Python and R
• Experience with medical imaging and radiomics

Core Skills:

• Familiarity with software for image visualization and processing such as 3D slicer
• Problem-solving skills and attention to detail
• Communication and interpersonal skills
• Ability to work in a fast-paced and dynamic environment
• Undergraduate-level coursework in data analysis and statistical modeling

Additional Information:

• Hybrid role; 2 days a week on-site
• Hours: 9AM-5PM
• Reporting to: Assistant Professor Equivelant

Pay Range: $66,500.00-$103,100.00

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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 which cannot lawfully be used as a basis for an employment decision.

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