Computational Scientist
Buffalo, NY · On-site
... design annotation strategies, build and benchmark models, support secure and compliant data pipelines, and translate clinical language data into actionable insights for oncology research.
Computational Scientist
Buffalo, NY · On-site
... design annotation strategies, build and benchmark models, support secure and compliant data pipelines, and translate clinical language data into actionable insights for oncology research.
Computational Scientist
Buffalo, NY · On-site
... annotation strategies, build and benchmark models, support secure and compliant data pipelines, and translate clinical language data into actionable insights for oncology research. Starting annual ...
Computational Scientist
Buffalo, NY · On-site
... annotation strategies, build and benchmark models, support secure and compliant data pipelines, and translate clinical language data into actionable insights for oncology research. Starting annual ...
Data Annotation Research information
What is data annotation research?
Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.
What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?
To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.
What are some common challenges faced in data annotation research roles, and how can they be addressed?
Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.
What is the difference between Data Annotation Research vs Data Labeling Specialist?
| Aspect | Data Annotation Research | Data Labeling Specialist |
|---|---|---|
| Credentials | Typically requires a background in data science, research methods, or related fields | Often requires basic technical skills and experience with labeling tools |
| Work Environment | Research labs, tech companies, or remote research teams | Data centers, tech companies, or remote labeling teams |
| Industry Usage | Used in AI/ML research, developing annotation methodologies | Used in preparing datasets for machine learning models |
| Search & Comparison Intent | Understanding research-focused roles in data annotation | Looking for practical data labeling jobs |
Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.
What job categories do people searching Data Annotation Research jobs in Lancaster, NY look for?
The top searched job categories for Data Annotation Research jobs in Lancaster, NY are:
What cities near Lancaster, NY are hiring for Data Annotation Research jobs?
Cities near Lancaster, NY with the most Data Annotation Research job openings:
Full-time
Re-posted 25 days ago
Roswell Park Comprehensive Cancer Center rating
8.1
Based on 18 frontline employees who took The Breakroom Quiz
Job description
Job Summary:
Roswell Park Comprehensive Cancer Center is dedicated to advancing cancer research and treatment. The Computational Scientist role involves applying AI, machine learning, and NLP to enhance oncology research and provide technical expertise in clinical NLP workflows.
Responsibilities:
• Promotes machine and deep learning artificial intelligence (AI) research through Roswell Park and provides senior level AI technical expertise as required to facilitate demand within the Biomedical Research Informatics Shared Resource.
• Works in concert with other departments throughout the organization and serves as a subject matter expert in the area of ML/AI in oncology.
• Promotes engagement of the research community, facilitates oncology research, use-case development, assists with user support, developing, and delivering advanced training.
• Developing, evaluating, and deploying methods to transform unstructured clinical text, radiology reports, and pathology reports into high-quality structured data for research use.
• Provides technical leadership in clinical NLP workflows including named entity recognition, clinical concept normalization to standard terminologies, and semantic classification of concepts, documents, and events.
• Collaborates with clinical, informatics, data science, and information technology teams to design annotation strategies, build and benchmark models, support secure and compliant data pipelines, and translate clinical language data into actionable insights for oncology research.
Qualifications:
Required:
• Master’s degree in Machine Learning, Data Science, Computer Science, Statistics, or related field of science or engineering and the equivalent of two (2) years of full-time work experience applying machine learning to real-world problems and with AI frameworks and data analytics
• Bachelor’s degree in Machine Learning, Data Science, Computer Science, Statistics, or related field of science or engineering and the equivalent of four (4) years of full-time work experience applying machine learning to real-world problems and with AI frameworks and data analytics
• Degrees must be conferred by an accredited school, college, or university, or by an institution recognized by Roswell Park Comprehensive Cancer Center and/or Health Research Incorporated as adhering to acceptable educational standards
Preferred:
• PhD in relevant field
• Experience with electronic health record data
• Oncology and EHR terminology
• Large language models/transformers
• Deployment of clinical NLP tools in secure enterprise or research computing environments
• Research experience: clinical research experience, grants, publication-writing experience
Company:
Roswell Park Comprehensive Cancer Center is where world-class cancer care, research, education and innovation come together. Founded in 1898, the company is headquartered in Buffalo, NY, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
Roswell Park Comprehensive Cancer Center is dedicated to advancing cancer research and treatment. The Computational Scientist role involves applying AI, machine learning, and NLP to enhance oncology research and provide technical expertise in clinical NLP workflows.
Responsibilities:
• Promotes machine and deep learning artificial intelligence (AI) research through Roswell Park and provides senior level AI technical expertise as required to facilitate demand within the Biomedical Research Informatics Shared Resource.
• Works in concert with other departments throughout the organization and serves as a subject matter expert in the area of ML/AI in oncology.
• Promotes engagement of the research community, facilitates oncology research, use-case development, assists with user support, developing, and delivering advanced training.
• Developing, evaluating, and deploying methods to transform unstructured clinical text, radiology reports, and pathology reports into high-quality structured data for research use.
• Provides technical leadership in clinical NLP workflows including named entity recognition, clinical concept normalization to standard terminologies, and semantic classification of concepts, documents, and events.
• Collaborates with clinical, informatics, data science, and information technology teams to design annotation strategies, build and benchmark models, support secure and compliant data pipelines, and translate clinical language data into actionable insights for oncology research.
Qualifications:
Required:
• Master’s degree in Machine Learning, Data Science, Computer Science, Statistics, or related field of science or engineering and the equivalent of two (2) years of full-time work experience applying machine learning to real-world problems and with AI frameworks and data analytics
• Bachelor’s degree in Machine Learning, Data Science, Computer Science, Statistics, or related field of science or engineering and the equivalent of four (4) years of full-time work experience applying machine learning to real-world problems and with AI frameworks and data analytics
• Degrees must be conferred by an accredited school, college, or university, or by an institution recognized by Roswell Park Comprehensive Cancer Center and/or Health Research Incorporated as adhering to acceptable educational standards
Preferred:
• PhD in relevant field
• Experience with electronic health record data
• Oncology and EHR terminology
• Large language models/transformers
• Deployment of clinical NLP tools in secure enterprise or research computing environments
• Research experience: clinical research experience, grants, publication-writing experience
Company:
Roswell Park Comprehensive Cancer Center is where world-class cancer care, research, education and innovation come together. Founded in 1898, the company is headquartered in Buffalo, NY, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
What Roswell Park Comprehensive Cancer Center employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Roswell Park Cancer Institute
Sourced by ZipRecruiter
Company size
1,001 - 5,000 Employees
Headquarters location
Buffalo, NY, US
Year founded
1898