ZipRecruiter

Log In

1

Computational Science Analyst Jobs in New York (NOW HIRING)

Tempus

Senior Computational Biologist I

New York, NY · On-site

$115K - $175K/yr

We are looking for a highly analytical, self-motivated and solution-oriented scientist with a ... Computational skills using R and SQL, especially relevant statistical tools and packages.

next page

Showing results 1-20

All JobsComputational Science Analyst JobsComputational Science Analyst Jobs in New York

Computational Science Analyst information

What cities in New York are hiring for Computational Science Analyst jobs?

Cities in New York with the most Computational Science Analyst job openings:

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

New York, NY • On-site

NYU Grossman School of Medicine
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about NYU Grossman School of Medicineexternal

Full-time

Re-posted 22 days ago

NYU Grossman School Of Medicine rating

7.9

Company rating: 7.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

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.
Qualifications
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.

Application Instructions
Upload CV, 1 page research statement and 3 contact references; also email materials to Jane.Skok@nuyulangone.org

What NYU Grossman School Of Medicine employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply