Kingdom
Biotech
SeniorScientist,AI&DataInfrastructure
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“Senior Scientist, AI & Data Infrastructure at Kingdom. Skills: AI Data Infrastructure, Genomic Analysis, Biobank Strategy, LLM Tooling. Build AI-compatible data infrastructure. Capture data across modalities”
What You'll Achieve.
Ship custom LLM tooling; Ship integrated LLM tooling; Automate work; Accelerate work; Integrity of data; Insights data infrastructure unlocks; AI tooling deployed
Industry & Context.
Identify pain points; Propose plan and solution
What They're Looking For.
Must Have
PhD in computational biology, 1-3 years post-PhD experience, Expert-level Python or R, Proficiency with SQL, Experience designing bio-data infrastructure, Knowledge of statistics
Nice to Have
PhD in bioinformatics, PhD in microbial genomics, PhD in quantitative life-sciences, Cloud platform certifications
What You'll Do.
Build AI-compatible data infrastructure
Capture data across modalities
Store data across modalities
Analyze data across modalities
Develop statistical methods
Apply statistical methods
Power biological insights
Support wet-lab workflows
Develop experimental design
Develop metric development
Develop method onboarding
Build tooling with AI/agentic tools
Maintain strain database integrity
Manage naming conventions
Audit physical inventory
Model scientific entities
Establish coherent schema
Scope data processing
Build data processing
Run computational genomic safety analyses
Author supporting reports
Maintain whole-genome sequencing pipeline
Assemble sequencing data
Link genomes to strain records
Curation of assemblies
Operate strain dereplication pipeline
Advance isolated colonies
Perform primary 16S/ITS screening
Perform unique-strain identification
Enter strains into biobank
Design screening plates
Curate screening plates
Verify taxonomy annotations
Verify safety annotations
How You'll Work.
Team & Collaboration
Work with science team; Work with co-founders
Communication Scope
Written communication; Verbal communication
Full Job Description
OVERVIEW At Kingdom, we’ve pioneered Superculture® ingredients: an entirely new class of clinically-validated postbiotics that target the root causes of unmet pet health needs. We’re actively selling Superculture® Pet Oral and Superculture® Pet Immune to pet food and supplement brands, and will be launching our first Superculture ingredient for humans later this year. We're looking for a high-performing Senior Scientist, AI & Data Infrastructure, to join our small but mighty team. This is an AI-native science role: you'll own the computational backbone of Kingdom's research (the microbial genomics and AI-compatible data infrastructure that every wet-lab program depends on) and ship custom and integrated LLM tooling to automate and accelerate our work. We want a PhD-level computational biologist (or related area) who applies rigorous scientific judgment to genomic analysis, biobank strategy, and statistical methods, and is equally excited to build the systems that let everyone move faster. Fundamentally, this is a science role, with success measured by the integrity of our data, the insights our data infrastructure unlocks, and the AI tooling we deploy across our scientific platform. This is a full-time, in-person role at our headquarters in Brooklyn, NY. We founded Kingdom in 2019 to cultivate healthier living with natural microbes, and have raised $35M+ in venture funding from top investors. Less than a year in market, our ingredients are already powering dozens of products from leading pet brands, with overwhelmingly positive customer reception. 1 out of 3 product launches using our ingredients have earned a #1 New Release on Amazon, and 9 out of 10 of our customers are launching additional products with us. Our core technical edge is our scientific platform, which spans ingredient discovery, clinical trials, and manufacturing scale-up. RESPONSIBILITIES In this role, you’ll report to the Senior Scientific Director, and will work closely with our science team &
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