Computational Biologist I, Clinical Data Mining

Jobtailor; New York (NY); On-site; USD 110,000 - 165,000; Full time

Job summary

Jobtailor is seeking a dedicated data/AI specialist in New York to support institutional cancer research. You will partner with clinicians, researchers, and data scientists to build scalable data pipelines and deploy ML/NLP solutions for clinical data curation.

The role requires Python and/or R, SQL, Git/GitHub, and cloud experience, with a focus on cloud-based infrastructure for translational research. Strong collaboration and communication skills are essential.

Qualifications

• Bachelor's degree plus 2+ years in a related field, or a related Master's degree.
• Proficiency in Python and/or R programming.
• Working knowledge of SQL and relational databases.
• Experience applying machine learning and/or NLP methodologies.
• Experience with Git/GitHub and cloud platforms.

Responsibilities

• Partner with clinicians, researchers, engineers, and data scientists to support cancer research initiatives.
• Develop and maintain data pipelines to extract, transform, and integrate healthcare datasets.
• Build and deploy ML, NLP, and AI-based solutions for data extraction and curation.
• Leverage LLMs and emerging AI to improve data abstraction and workflows.
• Collaborate with cross-functional teams to translate research questions into scalable computational solutions.
• Support enterprise curation that makes high-quality clinical data available to investigators.
• Contribute to cloud-based infrastructure and analytics tools supporting translational research.

Skills

Python Programming

Machine Learning

Natural Language Processing

Cloud Platforms

SQL

Education

Bachelor's degree in CS/related field

Master's degree in related field

Tools

Git

GitHub

Cloud-Based Data Environments

Job description

Responsibilities

• Partner with clinicians, researchers, engineers, and data scientists to support institutional cancer research initiatives.
• Develop and maintain data pipelines to extract, transform, and integrate clinical, genomic, imaging, and other healthcare datasets.
• Build and deploy machine learning (ML), natural language processing (NLP), and AI-based solutions for clinical data extraction and curation.
• Leverage large language models (LLMs) and emerging AI technologies to improve data abstraction and research workflows.
• Collaborate with cross-functional teams to translate research questions into scalable computational solutions.
• Support enterprise curation efforts that make high-quality clinical data available to investigators across MSK.
• Contribute to the development of cloud-based infrastructure and analytics tools supporting translational research.

Requirements

• Bachelor's degree in Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Data Science, or a related discipline with 2+ years of relevant experience; or a Master's degree in a related field.
• Experience programming in Python and/or R.
• Working knowledge of SQL and relational databases.
• Experience applying machine learning and/or NLP methodologies.
• Experience working with source control systems such as Git/GitHub.
• Experience using cloud platforms or cloud-based data environments.
• Strong communication and collaboration skills with both technical and non-technical stakeholders.

Core Competencies

Demonstrates expertise in developing and maintaining data pipelines, applying machine learning and natural language processing methodologies, and leveraging cloud-based infrastructure for clinical data integration and research support. Strong collaboration and communication skills are essential for working with diverse teams and stakeholders.

Highest-signal resume keywords

• Python Programming
• Machine Learning
• Natural Language Processing
• Cloud Platforms
• SQL

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• Machine Learning Methodologies
• Natural Language Processing Techniques
• Data Integration
• Clinical Data Curation
• Data Abstraction
• Computational Solutions
• Bioinformatics
• Biomedical Engineering
• Data Science

Soft Skills

• Strong Communication Skills
• Collaboration Skills

Industry Keywords

• Clinical Data
• Genomic Data
• Imaging Data
• Translational Research
• Healthcare Datasets

Tools & Technologies

• Git
• GitHub
• Cloud-Based Data Environments