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Per Diem Rna Seq Jobs in Hackensack, NJ (NOW HIRING)

Care Plus NJ, Inc.

Nurse - Per Diem

Paramus, NJ · On-site

$73.87 - $105.21/hr

Residential Homes in Bergen County NJ Per Diem; Hours: Approximately 20 per week Hourly Rate: $65 ... Care Plus follows Title VII of the Civil Rights Act of 1964, et seq and NJ Law Against ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Strong research experience in analysis of large-scale genomic datasets (single-cell RNA-seq, ATAC ... research dollars per investigator according to the Association of American Medical Colleges.

Journey Hospice

Hospice CHHA

Parsippany, NJ

$20/hr

We are seeking a per diem CHHA to work with our clients in Morris County. This position offers ... J.S.A 45:11-23 et seq. and N.J.A.C. 13:37, and proof of the certification as a Hospice Aide ...

Journey Hospice

Hospice CHHA

Parsippany, NJ · On-site

$20/hr

We are seeking a per diem CHHA to work with our clients in Morris County. This position offers ... J.S.A 45:11-23 et seq. and N.J.A.C. 13:37, and proof of the certification as a Hospice Aide ...

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Per Diem Rna Seq information

See Hackensack, NJ salary details

$53.4K

$221.9K

$436.3K

How much do per diem rna seq jobs pay per year?

As of Sep 4, 2026, the average yearly pay for per diem rna seq in Hackensack, NJ is $221,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $436,300.00 per year, depending on experience, location, and employer.

What cities near Hackensack, NJ are hiring for Per Diem Rna Seq jobs?

Cities near Hackensack, NJ with the most Per Diem Rna Seq job openings:

Per Diem Rna Seq jobs near you

Senior Computational Biologist / Non-Tenure-Track Assistant Professor / Faculty Research Scientist

NYU Langone Health

Manhattan, NY • On-site

Full-time

Re-posted 8 days ago

NYU Langone Health rating

8.4

Company rating: 8.4 out of 10

Based on 249 frontline employees who took The Breakroom Quiz

22nd of 898 rated healthcare providers

Job description

The Skok Lab at NYU Grossman School of Medicine is seeking an experienced computational scientist tolead the development of computational approaches for single-molecule epigenomics and 3D genomebiology. Our research integrates Oxford Nanopore (nano-NOMe-seq) and PacBio long-read sequencing withHi-C/Hi-ChIP, single-cell multi-omics, and machine-learning approaches to investigate chromatin topology,nucleosome organization, and gene regulation.

This position provides an opportunity to lead computational strategy within a collaborative,multidisciplinary research program while developing innovative analytical methods and pursuingindependent research directions.

The successful candidate will:

  • Develop computational pipelines for long-read sequencing data, from raw signal processing to per-molecule methylation, chromatin accessibility, and chromatin-state analysis.
  • Apply statistical and machine-learning approaches to model nucleosome organization, CTCF/transcription factor binding, and RNA Polymerase II elongation.
  • Integrate nano-NOMe-seq, Hi-C/Micro-C, RNA-seq, and single-cell multiome datasets to investigatechromatin architecture and gene regulation.
  • Lead computational analyses for collaborative research projects.
  • Mentor master's students and contribute to computational training within the laboratory.
  • Develop and pursue independent computational research directions.

Appointment as a Non-Tenure-Track Assistant Professor or Senior Staff Scientist, commensurate with experience. The position is renewable, fully supported, and includes a competitive salary andcomprehensive benefits package.

Start Date: Immediate start is preferred.

Minimum Qualifications:

  • PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitativefield.
  • At least 5 years of postdoctoral or equivalent experience working with long-read or single-moleculesequencing data.
  • Strong programming skills (e.g., Python, R, Bash/Linux).
  • Experience with workflow automation tools such as Snakemake, Nextflow, or similar platforms.
  • Demonstrated expertise in computational epigenomics, statistical analysis, and machine learning.
  • A record of scientific innovation, leadership, and collaborative research.

Preferred Qualifications:

Experience with one or more of the following:

  • Modified-base calling tools (e.g., Remora, Megalodon, Tombo).
  • 3D genome analysis, including Hi-C, Micro-C, or related technologies.
  • Machine-learning approaches for per-molecule feature extraction, clustering, predictive modeling,deep representation learning, changepoint detection, or generative modeling.

NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.

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