Job 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 tinyhealth.com tinyhealth.com and poweredbytiny.com 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 - A mission that actually pulls people in We make the microbiome measurable and actionable at every life stage, and real people write in to say it's life-changing. - Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am–6pm CST, shiftable by up to two hours either way — start at 7am or 11am, wrap at 4pm or 8pm. - Written first, huddle second, meet last Default to a clear Slack post, huddle when a thread stalls, and meet only to make a real decision. - Fast, but never sloppy Do the two-month thing in two weeks, then check the work—shipping errors is rework, not speed. - Shape what we build, not just how we build it There's no playbook waiting for you, so write it—and bring the alternative, not just the objection. - Day One mentality Fewer titles and layers; process is a guardrail where it counts, never the reason something didn't ship. - No hidden agendas Numbers, misses, and feedback are shared openly and in real time, so you always know where you stand. - High standards, genuinely fun people Take the work seriously and ourselves much less—high-performing and fun to be around is the hiring bar. - Is this pace for you? Venture-scaled and on a steep trajectory, with intensity in spikes, fiercely protected flexibility, and faster growth than anywhere else. OUR VALUES 1. Learn Fast, Get Better - Find the root cause, not just the fix, and get better every time 2. Be Relentlessly Resourceful - Dig for the answer, move fast, and know when to ask for help 3. Act Like an Owner, Be Hungry to Win - Act like it’s your company, and do whatever it takes to win 4. Act with Honesty and Empathy - Say what’s true, and say it with care 5. Delight People by Anticipating Their Needs - Solve the problem, then get two steps ahead of it

Requirements

Must-haves

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
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
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
A mission that actually pulls people in
We make the microbiome measurable and actionable at every life stage, and real people write in to say it's life-changing.
Remote-first, real overlap
Our FTEs are based in North America and work core hours from 9am–6pm CST, shiftable by up to two hours either way — start at 7am or 11am, wrap at 4pm or 8pm.

Nice-to-haves

Master’s or PhD in a relevant field preferred (e.g., data science, computational biology, bioinformatics, systems biology, microbiology)
Proficient in R and/or Python; experience with SQL and large datasets 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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonsql

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Wellness