Microbiome Data Scientist

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 tinyhealth.com and poweredbytiny.com.

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.

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

Preferred

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

How we work

Remote-First Company: our working hours follow a 2 hour window from 9 am - 6 pm CST

Driven by an ambitious mission: we're reinventing how we should think about wellness from the first 1,000 days to the last

Shape what we build, not just how we build it: we prioritize experimentation with taking ownership, and moving fast

No hidden agendas: we operate with full transparency because when everyone's working from the same honest picture, you spend less time on politics and more time on impact

High standards, human culture: we hold ourselves to a high bar and do it alongside a team who can laugh at themselves and make the hard days genuinely enjoyable

Our Values

Learn fast, be better

What that looks like: You deliver your output when it creates value, not when it’s perfect. After, you continuously monitor it and improve it over time.

Be relentlessly resourceful

What that looks like: When faced with a blocker, you map three alternative solutions, highlight your favourite, justify why, and seek quick feedback from your team.

Think like an owner

What that looks like: When something needs to get done, you own it, communicate cross-functionally, and see it across the finish line.

Act with honesty and empathy

What that looks like: When a colleague shares an idea that carries real risk, you challenge it in the moment and do it with kindness.

Delight people by anticipating their needs

What that looks like: You put yourselves in the shoes of the customer or collaborator before presenting an idea, process, or proposal, and curate your communication to address their pain points.