Lab Manager
- Market p25–p75
- $85k–$170k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +5,7468% of open
- All other
- 624,531open
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 Lab Manager, you will oversee the day-to-day operations of Tiny Health's St. Louis laboratory while serving as a key contributor to our microbiome research and development efforts. This is a hands-on role for an experienced scientist who enjoys both bench work and laboratory leadership.
You will independently manage laboratory workflows including microbial culturing, DNA extraction, sequencing library preparation, sample processing, and protocol execution. Beyond maintaining efficient laboratory operations, you will help develop and optimize new protocols, design and execute experiments, analyze results, and contribute to advancing our microbiome science initiatives.
We are looking for someone who is highly organized, resourceful, and comfortable operating with significant autonomy. The ideal candidate enjoys solving problems, building systems, and taking ownership of both scientific and operational outcomes. This position reports directly to the Chief Science Officer and works closely with our broader science team.
What You’ll Do
Manage day-to-day operations of Tiny Health's St. Louis laboratory
Perform microbiology and molecular biology workflows, including bacterial culturing, DNA extraction, library preparation, and sample processing
Develop, optimize, document, and implement laboratory protocols and standard operating procedures
Design and execute experiments to support internal research and product development initiatives
Analyze experimental results and communicate findings to cross-functional stakeholders
Maintain laboratory inventory, supplies, equipment, and consumables
Manage laboratory purchasing, shipping, vendor relationships, and budget tracking
Ensure compliance with laboratory safety standards and quality control procedures
Troubleshoot technical challenges and identify opportunities to improve laboratory efficiency
Collaborate with scientists, bioinformaticians, and external partners to advance research objectives
Maintain accurate laboratory records and experimental documentation
Qualifications
Required
Bachelor's, Master's, or equivalent experience in Microbiology, Molecular Biology, Biotechnology, Biological Sciences, or a related field
5+ years of hands-on laboratory experience in microbiology, molecular biology, or related disciplines
Experience culturing and maintaining bacterial strains under sterile conditions
Experience with DNA extraction, PCR, NGS library preparation, and related molecular biology techniques
Demonstrated ability to develop, optimize, and implement laboratory protocols
Experience independently designing and executing experiments
Ability to perform basic statistical analysis and interpret experimental data
Experience managing laboratory inventory, supplies, equipment, and operational workflows
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 sequencing-based research programs
Experience with shotgun metagenomic sequencing workflows
Experience managing laboratory budgets, purchasing, and vendor relationships
Previous experience in a startup, biotech, or early-stage company environment
Familiarity with R, Python, or other tools for basic data analysis and visualization