Bioinformatician - Cardiology

• Job Type: Officer of Administration
• Regular/Temporary: Regular
• Hours Per Week: 35
• Salary Range: $71,400 - $96,469 Annual

Position Summary

The Bioinformatician will support computational and data-driven research initiatives focused on cardiometabolic diseases and precision medicine through the development and application of advanced bioinformatics, statistical, and machine learning methodologies. The incumbent will independently analyze large-scale genomic, transcriptomic, spatial omics, and imaging datasets; develop and maintain reproducible computational pipelines; and collaborate with investigators to generate scientific insights that support manuscripts, presentations, and grant applications.

The Bioinformatician will serve as a technical expert in computational biology, integrating diverse biological datasets and developing analytical workflows to advance translational and population health research.

Responsibilities

Bioinformatics and Computational Analysis

• Develop, implement, maintain, and optimize computational pipelines for the analysis of high-dimensional biological datasets, including:
• Single-cell sequencing
• Spatial transcriptomics
• Bulk RNA sequencing
• Multi-omics data integration
• Imaging and digital pathology datasets
• Perform advanced bioinformatics analyses using established and emerging computational methods.
• Apply statistical and machine learning approaches to identify biological patterns, predictors, and mechanisms associated with cardiometabolic diseases and related conditions.
• Design, evaluate, and validate reproducible analytical workflows to ensure scientific rigor and computational efficiency.
• Utilize high-performance computing and cloud-based environments to process and manage large-scale research datasets

Research Collaboration and Scientific Support

• Collaborate with members of research team including faculty investigators, postdoctoral fellows, graduate students, other analysts and research staff on study design, data analysis, and interpretation of results.
• Translate complex computational findings into actionable biological and clinical insights.
• Contribute to the preparation of scientific manuscripts, abstracts, presentations, and grant proposals.
• Generate publication-quality figures, tables, visualizations, and analytical summaries.
• Participate in multidisciplinary research initiatives involving genetics, genomics, epidemiology, biostatistics, and clinical research.

Data Management and Quality Assurance

• Establish and maintain data processing standards, documentation, and quality-control procedures.
• Ensure reproducibility, accuracy, and integrity of analytical workflows and research outputs.
• Maintain appropriate documentation of computational methods and analytical processes.
• Assist in the management, organization, and integration of large and complex research datasets.

Professional and Technical Expertise

• Evaluate and implement emerging bioinformatics methods, software tools, and computational technologies.
• Provide technical guidance and training to laboratory members and collaborators regarding analytical methods and computational workflows.
• Participate in scientific meetings, seminars, and collaborative research discussions.
• Perform additional related duties as assigned.

Minimum Qualifications

• Bachelor’s degree or equivalent in education and experience, plus four years of related experience.
• Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Genetics, Genomics, or a related quantitative field may substitute in part for experience.
• Minimum of four years of relevant experience in bioinformatics, computational biology, genomics, or related research environments.
• Demonstrated experience analyzing genomic, transcriptomic, or other large-scale biological datasets.
• Advanced proficiency in R and Python.
• Experience using Linux/Unix environments and high-performance computing resources.
• Experience developing reproducible analytical pipelines and workflows.
• Strong written and verbal communication skills with demonstrated ability to communicate complex findings to scientific audiences.

Preferred Qualifications

• Minimum of five years of relevant experience in bioinformatics, computational biology, genomics, or related research environments.
• Experience with single-cell and spatial transcriptomic analyses.
• Experience applying machine learning and artificial intelligence methods to biomedical datasets.
• Experience with cloud-based computational environments.
• Experience supporting peer-reviewed publications and grant-funded research.
• Knowledge of cardiometabolic, genomic, or translational research.

Other Requirements

• Must successfully complete compliance and systems training requirements.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.