Research Scientist - Computational Biology (Bioinformatics & Image Analysis)
Job Description
Job Profile: Research Scientist- Computational Biology (Bioinformatics & Image Analysis)
We are seeking a highly skilled and motivated Bioinformatician to join our interdisciplinary R&D team, working on microscopy-based image analysis, multi-modal data integration, and AI-driven drug discovery. The role focuses on translating complex biological datasets into insights for drug development.
Key Responsibilities:
- Perform microscopy-based tissue image analysis, including segmentation, morphological/feature extraction, and quantitative spatial phenotyping.
- Integrate multi-modal datasets (imaging, omics, clinical) for visualization, interpretation, and high-throughput analysis.
- Develop and apply machine learning / deep learning models for biomarker discovery, drug response prediction, and precision medicine applications.
- Collaborate with clinical and R&D teams on patient stratification, outcome prediction, and validation of computational models in translational workflows.
- Support transcriptomics, proteomics, and genomics data analysis and maintain reproducible pipelines and documentation using version-controlled systems.
- Contribute to research communication and publication.
Required Skills and Expertise:
- Ph.D. in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or related quantitative discipline.
- Proficiency in microscopy image analysis and digital pathology using ImageJ, CellProfiler, QuPath, and Python/MATLAB (OpenCV, scikit-image); experience with ML-based image segmentation.
- Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, scikit-learn). Working experience in End-to-End ML/DL based modelling and prediction is desirable.
- Strong skills in visualization using R (ggplot2, Seurat), Python (matplotlib, seaborn, plotly), and/or Tableau.
- Hands-on analysis experience with OMICS datasets (Genomics/Transcriptomics/Single cell/Proteomics) is desirable.
- Knowledge of clinical data workflows, biomarker validation, and patient cohort analysis.
- Proficiency in Python, R, Linux, Git/GitHub.
- Strong analytical and collaborative communication skills.