<aside> 💡 How to Apply: Does this role sound like a good fit for you? Email Kim at kim @ tinyhealth.com. Include the role's title in your subject line, a cover letter and send along your CV or resume and any links that best showcase the relevant things you've done (LinkedIn, GitHub, Google Scholar, publications, etc)

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About Tiny Health

Tiny Health offers the first and most comprehensive at-home gut microbiome test for families. We're pioneering new ways to interpret microbiome data, developing novel biomarkers and metrics, and building the world’s largest dataset of infant and family microbiomes.

The Role

We're looking for a data scientist who is passionate about early-life gut health and excited to help shape the future of microbiome science. You'll work closely with microbiome experts and the Head of Science to lead data-driven research, analyze complex datasets, and contribute to scientific publications and product development.

Key Responsibilities

• Analyze microbiome data (taxa abundances, diversity metrics, functional genes) to support key research questions
• Develop and maintain novel microbiome metrics and biomarkers using statistical and machine learning methods
• Conduct statistical analyses of longitudinal clinical data
• Prepare data visualizations, reports, and presentations for stakeholders and publications
• Draft research protocols, analysis plans, and study reports
• Work independently across multiple projects in a fast-paced, collaborative environment
• Support development of new product and study concepts
• Contribute to scientific publications, proposals, and internal knowledge-sharing

Qualifications

• Master’s or PhD in a relevant field preferred
• 5+ years of experience in academia or industry in data science
• Strong background in statistics, machine learning, and data visualization
• Proficient in R and/or Python; experience with SQL and large datasets preferred
• Experience with microbiome data analysis (e.g., 16S, shotgun metagenomics) is highly desirable