Computational Biologist: Scalable Single-Cell Analytics

Neptunebio; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Neptunebio in New York is seeking a Computational Biologist passionate about utilizing data-driven methods to uncover biological insights. The role involves developing computational pipelines for single-cell perturbation datasets and working closely with experimental scientists.

Ideal candidates will hold a Ph.D. or equivalent with experience in data analysis and cloud computing. Join our interdisciplinary team to impact computational strategies!

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, or related field, or equivalent experience.
• Proficiency in programming languages like Python and R.
• Experience in analyzing single-cell or multi-omics datasets.

Responsibilities

• Develop and maintain data analysis pipelines for genomic datasets.
• Collaborate with teams to integrate experimental data.
• Contribute to scalable data infrastructure at Neptune Bio.

Skills

Proficiency in Python

Proficiency in R

Experience in Unix/Linux environments

Data analysis in single-cell genomics

Solid understanding of statistics

Experience with cloud platforms (AWS/GCP)

Education

Ph.D. in Bioinformatics or related field

BS/MS with ≥3 years of relevant experience

Tools

Docker

Nextflow

Snakemake

Deep learning frameworks (PyTorch, TensorFlow)

Job description

Neptunebio in New York is seeking a Computational Biologist passionate about utilizing data-driven methods to uncover biological insights. The role involves developing computational pipelines for single-cell perturbation datasets and working closely with experimental scientists.

Ideal candidates will hold a Ph.D. or equivalent with experience in data analysis and cloud computing. Join our interdisciplinary team to impact computational strategies!