Lead Data Scientist developing AML transaction - monitoring models for RBC, a major Canadian bank. Applying machine learning, rules, and analytics to identify financial crime risk.
About the role
- Microbiome Data Scientist analyzing microbiome and clinical data for Tiny Health’s precision testing platform. Developing biomarkers, metrics, publications, and new personalized-health products.
Responsibilities
- Analyze microbiome data, including taxa abundances, diversity metrics, and functional genes, to support research questions
- Develop and maintain 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
- Work closely with microbiome experts and report to the Head of Science
Requirements
- Master’s or PhD in a relevant field such as data science, computational biology, bioinformatics, systems biology, or microbiology preferred
- 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
- Proficiency in R and/or Python
- Experience with SQL and large datasets preferred
- Experience with microbiome data analysis, including 16S or shotgun metagenomics, highly desirable
- Excellent written and verbal communication skills
- Self-motivated, organized, and able to work independently in a remote-first environment
- Previous experience in a fast-paced startup environment preferred
- Work experience in DTC health/wellness companies preferred
- Experience working remotely and proficiency in Slack preferred
- Ability to leverage AI in daily tasks while understanding its blind spots
- Self-directed, proactive, and comfortable with ambiguity
Benefits
- Remote-first work arrangement
- Flexible core hours: 9am–6pm CST, shiftable by up to two hours either way
- Mission-driven work with direct impact on families and health practitioners
- International, diverse team
- Slack-first written communication and asynchronous collaboration
- Flexible working environment supporting employees with children
- Opportunities to contribute to scientific publications, proposals, product development, and internal knowledge-sharing
- High autonomy and scope in a venture-scaled company
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Degree requirement
No Education Requirement
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