Neptunebio
Computational Biologist
New York
Sponsorship not specifiedDetected 260 days ago
PythonAWSGCPAzureCloud PlatformsDockerLinuxMachine LearningDeep LearningPyTorchData AnalysisData EngineeringStatisticsBioinformaticsCRISPRResearchCommunicationPublic Speaking
About the role
- We are seeking a Computational Biologist who is passionate about using data-driven, scalable methods to reveal biological insights.
- This is a unique opportunity to join a dynamic, interdisciplinary environment and help shape Neptune Bio's computational strategy and infrastructure.
Responsibilities
- Develop, innovate, and maintain advanced computational methods to process, analyze, and interpret large-scale single-cell genomics and perturbation datasets.
- Collaborate with wet-lab and computational teams to integrate data from diverse experimental modalities and guide experimental design.
- Build, optimize, and scale data analysis pipelines using modern cloud computing environments (e.g., AWS, GCP, Azure).
Requirements
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, OR equivalent experience (e.g., BS/MS with ≥3 years of relevant experience).
- Proficiency in Python, R, and Unix/Linux environments
- Demonstrated experience in single-cell or multi-omics data analysis.
- Experience deploying and scaling computational pipelines on cloud platforms (AWS, GCP, or similar).
- Experience integrating multi-source data to derive novel and impactful insights.
- Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake) as well as familiarity with cloud-native architectures and distributed compute.
Benefits
- Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges.
- Qualification and Education Requirements
- Solid understanding of statistics, data modeling, and modern machine learning approaches.
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