Key Responsibilities

• Develop 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 Metaceutic’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 Qualifications

• PhD 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.

‍

‍

What We Offer

• Opportunity to work on cutting-edge AI-driven microbiome research.
• Competitive salary and equity options.
• Collaborative and fast-paced startup environment with a strong scientific foundation.
• Direct impact on shaping the future of personalized healthcare and microbiome technology.

‍