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Bioinformatics Genomics Jobs in Ridgefield, NJ (NOW HIRING)

In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great opportunity to be involved in an innovative environment ...

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How much do bioinformatics genomics jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for bioinformatics genomics in Ridgefield, NJ is $31.63, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $51.11 per hour, depending on experience, location, and employer.
Senior Bioinformatics Analyst (AI/ML for Genomics) | Bioinformatics Resource Center

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

The Rockefeller University

Manhattan, NY • On-site

Full-time

Re-posted 13 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.