About the RoleThe company is seeking a highly skilled Data Scientist with expertise in machine learning, AI, and big data analysis within metagenomics. This role will be critical in strengthening our core technology engine, applying cutting-edge AI- driven data mining techniques to microbiome datasets, and contributing to the development of personalized healthcare solutions.Key ResponsibilitiesDevelop and optimize AI and machine learning algorithms for microbiome data interpretation.Implement big data analytics pipelines to process large-scale metagenomics datasets efficiently.Design and refine predictive models for microbiome-health associations.Work closely with bioinformaticians, systems biologists, and software engineers to integrate AI-driven insights into the company’s data analysis platform.Apply deep learning, statistical modeling, and pattern recognition to identify novel microbiome-based biomarkers and interventions.Contribute to scientific publications, patents, and conferences in microbiome research.Collaborate with the business team to translate scientific insights into commercial applications for healthcare and biotech partners.Needed QualificationsPhD or MSc in Data Science, Bioinformatics, Computational Biology, Machine Learning, or a related field.Strong coding experience in Python, R, or similar with experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.Experience working with metagenomic sequencing data (16S,shotgun metagenomics) and bioinformatics tools.Proven experience in big data analysis and cloud computing(e.g., AWS, Google Cloud, Azure).Expertise in statistical modeling, deep learning, and AI for biological data.Strong problem-solving skills and ability to work in an interdisciplinary environment.Prior experience in healthcare, microbiome science, or systems biology is a plus.Assessment Link -
Job Title
Senior Data Scientist