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

1. Learn fast, be better (root cause analysis)

   What that looks like: When a stakeholder gives constructive criticism to a test result, instead of just apologizing and moving on, you dig into why it happened and update the process so the feedback is not received again.

2. Be relentlessly resourceful (be scrappy)

   What that looks like: When a customer asks a question about our science, you you spend time digging through our docs and filtering through Slack for previous replies before pinging the team. You also know not to burn a whole day stuck, so you ask for help with a clear summary of what you've already tried.

3. Think like an owner (ownership)

   What that looks like: When you notice customer engagement is dropping, you don't shrug it off as another team's problem - you flag it, dig into the numbers, and bring a fix, because you're hungry to see the whole company win, not just your own tasks hit their targets.

4. Act with honesty and empathy (radical candor)

   What that looks like: When a colleague shares an idea that carries real risk, challenge in the moment and do it with kindness - don’t vent about it afterward in a side conversation.

5. Delight people by anticipating their needs (create raving experiences)

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