At a Glance
- Tasks: Transform large-scale imaging data into biological insights using data science and machine learning.
- Company: Join a pioneering team at the forefront of computational microscopy and cell profiling.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on scientific integrity and curiosity.
- Why this job: Make a real impact in biology by developing innovative data-driven methods.
- Qualifications: Degree in Data Science or related field with strong Python skills and experience in imaging data.
The predicted salary is between 63000 - 77000 £ per year.
About the role
We are seeking 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.
In this role, you will help build scalable data analysis pipelines and backend systems that enable high-throughput cell profiling, reproducible science, and efficient data exploration.
We are looking for a data scientist who is excited to operate at the intersection of imaging, machine learning, and biology, helping lay the foundation for scalable cell-level analysis.
Key responsibilities
- Develop and apply data science and machine learning methods for cell profiling, segmentation, tracking, and phenotypic analysis from microscopy images.
- Apply computational methods to integrate genomics, transcriptomics, and proteomics data with high-content microscopy datasets to enable multimodal cellular phenotyping and biological insight discovery.
- Collaborate with a cross-disciplinary team to design scalable data representations and analysis workflows for high-content microscopy datasets.
- Build and optimize data pipelines that support large-scale image analysis, feature extraction, and downstream statistical modeling.
- Contribute to the design and maintenance of backend infrastructure that supports reproducible analysis, storage, and retrieval of cell-level data.
- Document models, analysis workflows, and data schemas for internal teams and external collaborators.
- Evaluate and integrate emerging methods in computational biology, machine learning, and imaging to improve scalability, accuracy, and interpretability.
Qualifications
Required
- Bachelor’s or Master’s degree in Data Science, Computer Science, Biomedical Engineering, Computational Biology, or a related field (or equivalent experience).
- 2+ years of experience
- Strong proficiency in Python, with experience in scientific computing, data analysis, and machine learning workflows.
- Hands-on experience analyzing microscopy or imaging data, particularly for cell profiling, segmentation, tracking, or feature extraction.
- Familiarity with image analysis and machine learning libraries (e. g., Num Py, Sci Py, scikit-image, Py Torch, Tensor Flow, or similar).
- Experience working with large scientific datasets and data formats such as HDF5, Zarr, TIFF, or related serialization/storage systems.
- Knowledge of statistical analysis, model evaluation, and data visualization for biological data.
- Experience working with multimodal biological datasets, including genomics, transcriptomics, and proteomics data.
- Strong scientific curiosity, problem-solving skills, and attention to biological and computational detail.
- A commitment to clear communication, collaboration, and scientific integrity.
- Experience with multimodal biological data integration.
Preferred
- Master’s or Ph. D degree
- 5+ years of experience
Data Scientist in Durham employer: Ramona-
Join a pioneering team that values innovation and collaboration, where your work as a Data Scientist will directly contribute to advancing our cutting-edge cell profiling and computational microscopy platform. Located in a vibrant research hub, we offer a dynamic work culture that fosters professional growth through cross-disciplinary collaboration and access to the latest technologies. Enjoy competitive benefits, a commitment to scientific integrity, and the opportunity to make a meaningful impact in the field of biology and data science.
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We think you need these skills to ace Data Scientist in Durham
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