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Senior Bioinformatics Machine Learning Jobs in New York

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

Position Summary: We have an exciting opportunity to join our team as a Sr. Bioinformatics ... machine learning • Prior experience working in CLIA environment is a plus • Experience in ...

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

ExaCare AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$100 - $140/hr

We are looking for a Senior Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the workflows ...

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Senior Bioinformatics Machine Learning information

What is the difference between Senior Bioinformatics Machine Learning vs Bioinformatics Data Analyst?

AspectSenior Bioinformatics Machine LearningBioinformatics Data Analyst
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; experience with machine learningBachelor's or master's in bioinformatics, biology, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, or pharma; focus on developing ML modelsData interpretation, reporting, and visualization in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data modelingCommon in healthcare, research, and biotech for data management and reporting

The main difference is that Senior Bioinformatics Machine Learning specialists focus on developing and applying machine learning models to biological data, requiring advanced technical skills. Bioinformatics Data Analysts primarily interpret and visualize data, with less emphasis on machine learning techniques.

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Senior Bioinformatics Machine Learning jobs near you
Infographic showing various Senior Bioinformatics Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

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

Manhattan, NY • On-site

The Rockefeller University
See more jobs at The Rockefeller Universityexternal

Full-time

Re-posted 5 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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