Data Analyst - Surgery - C-STAR

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people.

An integral part of NYU Langone Health , the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care.

At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive.

We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed , Facebook , Twitter and Instagram .

Position Summary :

We have an exciting opportunity to join our team as a Data Analyst.

In this role, the successful candidate designs and performs statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (C-Star) leadership team.

Job Responsibilities :

• Analyze clinical data using machine learning techniques to support research outcomes.
• Develop and maintain models using frameworks like PyTorch or TensorFlow, ensuring they are suitable for handling large-scale datasets.
• Apply natural language processing methods to interpret and analyze medical texts and patient data.
• Collaborate with research teams to design and implement models that address specific research questions.
• Continuously update and refine models based on new research findings and emerging data.
• Assist in preparing research papers and presentations by providing data-driven insights and analysis.
• Participate in research meetings and contribute to discussions on methodology and results interpretation.
• Ensure compliance with data privacy and protection guidelines when handling sensitive medical data.
• Contribute original thoughts, hypotheses, and analysis to write reports, abstracts, and manuscripts under faculty supervision
• Support grant proposal submissions and support funder reports for NIH funded
• Liaise with senior researchers at other institutions to conduct analyses on behalf of national scientific committees
• Prepare interim reports to summarize ongoing cohort studies for principal investigators, study staff, and data safety and monitoring boards
• Under faculty supervision, design analytical strategies for research proposals and draft statistical analysis plans for grants
• Performs miscellaneous job duties as assigned

Minimum Qualifications :

To qualify you must have a Bachelor's degree in a related discipline (computer science, mathematics, electrical engineering, or related discipline)

0-1 years working experience

Practical experience in natural language processing (NLP) and analyzing clinical data.

Strong computational and programming skills

Familiarity with advanced machine learning and deep learning applied to large datasets.

Competence in using machine learning frameworks such as PyTorch or TensorFlow.

Understanding of representation models, multi-modal models, and self-supervised learning.

Open to candidates with foundational skills in machine learning and data analysis, even if not all advanced criteria are met Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information;

Strong attention to detail

Demonstrated organizational skills, self-motivation, flexibility, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment

Preferred Qualifications :

Masters degree in a related discipline (computer science, mathematics, electrical engineering, or related discipline)

Excellent written and verbal communication skills

Excellent data visualization skills

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.

NYU Grossman School of Medicine 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, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision.

We require applications to be completed online.

If you wish to view NYU Grossman School of Medicine's EEO policies, please click here . Please click here to view the Federal "EEO is the law" poster or visit https : / / www.

dol.gov / ofccp / regs / compliance / posters / ofccpost.htm for more information.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements.

The salary range for the role is $62,400 - $85,000 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need.

The salary range or contractual rate listed does not include bonuses / incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here

Required Skills

Required Experience