Single-Cell Genomics Data Scientist

Neptunebio; New York (NY); On-site; USD 70,000 - 90,000; Full time

Job summary

Neptunebio in New York is looking for a Computational Research Associate to enhance data analysis in functional genomics. You will process large biological datasets, optimize analysis workflows, and support data management.

Applicants should possess a B.S. or M.S. in a quantitative field, with at least 2 years of experience in biological data handling, proficiency in Python and/or R, and familiarity with cloud platforms like AWS or GCP.

Qualifications

• 2+ years of experience working with biological or single-cell datasets.
• Proficiency in Python and/or R for data analysis and visualization.
• Familiarity with standard genomics tools and file formats (FASTQ, BAM, HDF5, AnnData, etc.).
• Experience working with cloud compute platforms (AWS, GCP, or similar).
• Strong organizational skills and attention to detail.

Responsibilities

• Process and analyze large-scale single-cell and perturb-seq datasets.
• Develop, document, and maintain reproducible analysis workflows.
• Support data management and organization across multiple datasets.
• Collaborate with scientists to translate raw data into results.
• Implement and optimize pipelines in cloud environments.
• Ensure reproducibility and traceability of analyses.

Skills

Python

R

Unix/Linux

AWS

GCP

Data Analysis

Data Visualization

Workflows Management

Education

B.S. or M.S. in Bioinformatics, Computational Biology, Computer Science, or a related field

Tools

Docker

Nextflow

Snakemake

Job description

Neptunebio in New York is looking for a Computational Research Associate to enhance data analysis in functional genomics. You will process large biological datasets, optimize analysis workflows, and support data management.

Applicants should possess a B.S. or M.S. in a quantitative field, with at least 2 years of experience in biological data handling, proficiency in Python and/or R, and familiarity with cloud platforms like AWS or GCP.