Kingdom
Biotech
SeniorScientist,AI&DataInfrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
Integrity of data; Insights from data infrastructure; AI tooling deployed
Industry & Context.
Identify pain points; Propose plan; Propose solution; Drive learning
What They're Looking For.
Must Have
PhD in computational biology, 1-3 years post-PhD experience, Microbial genomics knowledge, Advanced Python or R coding, SQL proficiency, Containerization fluency, API interaction experience, Code quality practices, Bio-data infrastructure experience, Ontology establishment experience
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
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
Power AI/agentic tools
Maintain strain database integrity
Enforce naming conventions
Audit physical inventory
Model scientific entities
Develop coherent schema
Scope data processing
Build data processing
Run genomic safety analyses
Author supporting reports
Maintain sequencing pipeline
Assemble sequencing data
Link genomes to strain records
Curate best-available assemblies
Operate dereplication pipeline
Advance isolated colonies
Identify unique strains
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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