Bioinformatics Technician

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

As Bioinformatics Technician, you will operate and maintain aspects of our bioinformatics pipeline. You will monitor incoming data deliveries, run samples on our bioinformatics pipeline, and perform standardized quality control.

Beyond your core responsibilities with the bioinformatics pipeline, you will also support the science, clinical research, and customer support teams by compiling datasets, performing analyses and responding to customer issues.

We are looking for someone who is highly organized, resourceful, and comfortable operating with significant autonomy. The ideal candidate enjoys working with data, solving problems, and taking ownership of both scientific and operational outcomes. This position reports directly to the Bioinformatics Engineer and works closely with our broader science team.

What You’ll Do

Manage day-to-day operations of Tiny Health's bioinformatics pipeline

Track samples from when the data is delivered to final release of the results

Monitor a cloud-based bioinformatics pipeline for failures

Perform standardized batch-level quality control analyses

Provide computational support to the science and clinical research teams by generating datasets and performing short analyses

Work closely with the customer support team to resolve issues affecting customers

Collaborate with scientists, bioinformaticians, and external partners to advance research objectives

Maintain accurate records and documentation

Qualifications

Required

Bachelor's, Master's, or equivalent experience in Biology, Bioinformatics, Computational Biology, Microbiology or a related field

Experience with bioinformatics pipelines

Experience with scripting languages such as Bash, Python, R.

Experience with AI tools

Strong organizational skills with meticulous attention to detail

Excellent written and verbal communication skills

Ability to work independently and prioritize competing responsibilities in a fast-paced environment

Preferred

Experience working with microbiome, microbial ecology, or metagenomics datasets particularly in humans

Experience in the biotech industry, especially start-ups

Experience with shotgun metagenomic bioinformatics workflows

Experience with SQL or other databases

Experience with AWS or other cloud platforms

Previous experience in a fast-paced startup environment

Work experience in DTC health/wellness companies

Experience working remotely, with proficiency in Slack

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.