Microbiome Data Scientist (Full-time Contractor)
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 1+ years
- Category
- Data science
- Posted
Skills
Must have
- Master’s or PhD in a relevant field preferred (e.g., data science, computational biology, bioinformatics, systems biology, microbiology)
- 3+ years of full-time, relevant experience following completion of a Master's, or 0-1+ years of relevant experience with a PhD.
- 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
- Excellent communication skills, both written and verbal
- Self-motivated, organized, and able to work independently in a remote-first environment
Nice to have
- Previous experience in a fast-paced startup environment
- Work experience in DTC health/wellness companies
- Experience working remotely, with proficiency in Slack
- Leverages AI in daily tasks while also understanding where its blind spots
- Self-directed, proactive, and comfortable with ambiguity
Full description
About Tiny Health
Tiny Health is advancing lifelong health, from the first 1,000 days to the last, and addressing chronic disease through precision microbiome science. Founded in 2020 and built by microbiome scientists and physicians, our testing platform reveals whether your microbiome is trending toward resilience or imbalances using shotgun metagenomics, proprietary AI, and one of the world's largest longitudinal datasets. Trusted by families and health practitioners alike, our research-backed gut and vaginal tests are redefining the microbiome as a cornerstone of personalized health through every life stage. Learn more at and .
The Opportunity
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 report to the Head of Science to take on data-driven research, analyze complex datasets, and contribute to scientific publications and product development.
Note: This is a contractor position for a minimum of three months, with potential to transition to FTE.
What You’ll Do
- 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, statistical analysis plans, and clinical 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
Required
- Master’s or PhD in a relevant field preferred (e.g., data science, computational biology, bioinformatics, systems biology, microbiology)
- 3+ years of full-time, relevant experience following completion of a Master's, or 0-1+ years of relevant experience with a PhD.
- 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
- Excellent communication skills, both written and verbal
- Self-motivated, organized, and able to work independently in a remote-first environment