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Overnight Computer Science Bioinformatics Jobs in New York

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

Sc. plus a minimum of 3 years' experience in Bioinformatics, Computer Science, Programming, Software Development, or related field Previous experience with NGS data and associated bioinformatics ...

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Overnight Computer Science Bioinformatics information

What is the difference between Overnight Computer Science Bioinformatics vs Data Scientist?

AspectOvernight Computer Science BioinformaticsData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentLaboratories, research centers, hospitals, often overnight shiftsOffices, tech companies, often standard daytime hours
Industry UsageHealthcare, biotech, research institutionsFinance, tech, marketing, healthcare
Common Search/ComparisonOvernight Computer Science Bioinformatics vs Data Scientist

Overnight Computer Science Bioinformatics roles focus on analyzing biological data, often requiring lab work and research, with overnight shifts common. Data Scientists analyze large datasets across various industries, typically working standard hours in office settings. While both roles involve data analysis and programming, their industries, work environments, and shift patterns differ significantly.

What are the most commonly searched types of Computer Science Bioinformatics jobs in New York? The most popular types of Computer Science Bioinformatics jobs in New York are:
What cities in New York are hiring for Overnight Computer Science Bioinformatics jobs? Cities in New York with the most Overnight Computer Science Bioinformatics job openings:
Overnight Computer Science Bioinformatics jobs near you

Senior Bioinformatics Analyst (AI/ML for Genomics) | Bioinformatics Resource Center

The Rockefeller University

Manhattan, NY • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
The Rockefeller University is a leading research institution, and they are seeking a Senior Bioinformatics Analyst to design, implement, and deploy AI/ML methods for genomics and multi-omics data. This role focuses on creating robust analytical pipelines that support research across the university's laboratories and providing consultative support and training to researchers.
Responsibilities:
• Design, implement, and maintain AI/ML pipelines for genomics and multi-omics data (RNA-seq, ATAC-seq, ChIP-seq, functional genomics)
• Apply and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators.
• Develop interpretable models and attribution analyses (e.g., motif discovery, perturbation and variant-effect analyses) to support biological insight.
• Build, document, and containerize reproducible workflows suitable for shared HPC/GPU environments.
• Provide consultative support and training to researchers using BRC AI/ML tools and pipelines.
• Performs related duties & responsibilities as assigned/requested.
Qualifications:
Required:
• Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field
• A minimum of five years of relevant experience applying computational or machine learning methods to biological data.
Preferred:
• PhD in Bioinformatics, Computational Biology, Computer Science, or a related field
• Experience applying deep learning or foundation-model approaches to sequence-based or multimodal genomics data.
• Experience in a core facility or highly collaborative research environment.
• Familiarity with model interpretability for biological insight (motif analysis, attribution methods, TF/RBP modeling).
• Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments.
• Track record of contributing to peer-reviewed publications as a computational specialist.
• Interest in mentoring and training researchers in applied AI/ML methods.
Company:
The Rockefeller University is a center for research and graduate education in biomedical sciences, chemistry, bioinformatics, and physics. Founded in 1901, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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