Neptunebio
Computational Research Associate
New York
Sponsorship not specifiedDetected 260 days ago
PythonAWSGCPCloud PlatformsLinuxData AnalysisData EngineeringBioinformaticsResearchOrganizational Skills
About the role
- You will play a central role in processing, analyzing, and organizing single-cell and perturb-seq data, maintaining and improving computational pipelines, and supporting the broader team with high-quality data outputs and infrastructure.
Responsibilities
- Develop, document, and maintain reproducible analysis workflows and data processing infrastructure.
- Support data management and organization across multiple internal and external datasets.
- Collaborate closely with experimental and computational scientists to translate raw data into interpretable biological results.
- Implement and optimize pipelines in cloud environments (e.g., AWS, GCP) for scalable data processing.
- Maintain codebases, perform quality control on data outputs, and ensure reproducibility and traceability of analyses.
Requirements
- 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 using and maintaining analysis pipelines in a Unix/Linux environment.
- Experience working with cloud compute platforms (AWS, GCP, or similar).
- Experience analyzing single-cell RNA-seq or perturb-seq datasets.
- Familiarity with workflow management systems (Nextflow, Snakemake, or similar).
- Experience with containerization tools such as Docker.
Benefits
- Qualification and Education Requirements
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