SLAS (Society for Laboratory Automation and Screening) · 7 hours ago
Research Scientist
New York, NY
Full-time
Onsite
Mid, Senior Level
$70K/yr - $85K/yr
3+ years expNYU Grossman School of Medicine is one of the nation's top-ranked medical schools, committed to improving the human condition through medical education and scientific research. The Research Scientist will process and analyze digital images of tissues, develop analytical strategies for research proposals, and collaborate on predictive modeling projects within the healthcare domain.
AssociationBiotechnologyCommunitiesGovernmentInformation Technology
Responsibilities
Process and analyze digital images of tissues using commercially available platforms and visualize and perform computational and statistical analysis of the resulting large datasets using languages such as R, Python, C++, Java and/or MATLAB
Collaborate with the Xenotransplant Pathology Director to contribute to ongoing predictive modeling /analytics efforts
Under faculty supervision, design analytical strategies for research proposals and draft statistical analysis plans for grants
Prepare interim reports to summarize ongoing studies for presentation at internal lab meetings and collaborative research meetings in the Transplant Institute
Contribute original thoughts, hypothesis, and analysis to write reports, abstracts, and manuscripts under faculty supervision
Work with large, complex, and noisy clinical datasets for solving challenging problems in the healthcare domain
Collaborate with the overall NYULMC healthcare community and external collaborators and contribute to ongoing predictive modeling/analytics efforts
Qualification
Required
Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field)
3 years of experience in machine learning/data science
Proficiency in at least one programming language (Python, R)
Proficiency in machine learning tools (scikit-learn, R)
Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets
Familiarity with computing models for big data (Hadoop / MapReduce, Spark etc.)
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)
Good grasp of software engineering principles
Experience in integrating modern software architectures
Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology
Knowledge of clinical and operational aspects of healthcare delivery
Excellent written and oral communication skills for a variety of audiences
Preferred
PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) + 2 years experience
Demonstrated skills in design and implementation of complex machine learning models
Demonstrated knowledge of software engineering and operational skills through prior projects
Benefits
Comprehensive benefits and wellness package
Financial security benefits
Generous time-off program
Employee resources groups for peer support
Holistic employee wellness program
Company
SLAS (Society for Laboratory Automation and Screening)
SLAS, headquartered in Oak Brook, IL, is a tax exempt organization under section 501 (c) (3) of the United States Internal Revenue Code.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Vicki Loise
CEO
Amy Wilkinson
Director, Global Events and Corporate Partnerships
Recent News
2025-10-23
News-Medical.Net
2025-10-03
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