Data Scientist, Computational Microscopy & Cell Profiling

Ramona

Durham (NC)

On-site

USD 85,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Equity options
Competitive salary

Job summary

Ramona seeks a data scientist to advance our cell profiling and computational microscopy platform, transforming large-scale imaging data into biological insight. You will work closely with biologists, microscopists, and software engineers to design and deploy data-driven methods that extract meaningful cellular phenotypes from complex image data.

You will help build scalable data analysis pipelines and backend systems that enable high-throughput cell profiling, reproducible science, and

Qualifications

  • Bachelor’s or Master’s degree in a relevant field or equivalent experience.
  • 2 years of experience in data science or related role.
  • Strong proficiency in Python and scientific computing workflows.
  • Hands-on experience analyzing microscopy/imaging data for cell profiling, segmentation, tracking, or feature extraction.
  • Familiarity with image analysis and ML libraries such as NumPy, SciPy, scikit-image, PyTorch, TensorFlow.
  • Experience with large scientific datasets and formats like HDF5, Zarr, TIFF.
  • Knowledge of statistical analysis, model evaluation, and data visualization for biological data.
  • Experience with multimodal biological data integration.

Responsibilities

  • Develop and apply data science and ML methods for cell profiling, segmentation, tracking, and phenotypic analysis from microscopy images.
  • Integrate genomics, transcriptomics, and proteomics with high-content microscopy data for multimodal phenotyping.
  • Collaborate with a cross-disciplinary team to design scalable data representations and workflows for high-content microscopy datasets.
  • Build and optimize data pipelines that support large-scale image analysis, feature extraction, and downstream modeling.
  • Contribute to backend infrastructure for reproducible analysis, data storage, and retrieval of cell-level data.
  • Document models, analysis workflows, and data schemas for internal teams and collaborators.
  • Evaluate and integrate emerging methods to improve scalability, accuracy, and interpretability.

Skills

Strong scientific curiosity
Communication skills
Team collaboration
Biology understanding

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Biomedical Engineering, Computational Biology, or related field
Master’s or Ph.D. degree

Tools

Python
NumPy
SciPy
scikit-image
PyTorch
TensorFlow
HDF5
Zarr
TIFF

Job description

Ramona seeks a data scientist to advance our cell profiling and computational microscopy platform, transforming large-scale imaging data into biological insight. You will work closely with biologists, microscopists, and software engineers to design and deploy data-driven methods that extract meaningful cellular phenotypes from complex image data.

You will help build scalable data analysis pipelines and backend systems that enable high-throughput cell profiling, reproducible science, and

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