Senior Scientist, Computational Biology & Data Infrastructure

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, Computational Biology & Data Infrastructure & 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 & co-founders to:

Own genomic analyses and biobank strategy

Run computational genomic safety analyses and author the supporting reports that underpin our regulatory and customer-facing safety documentation

Maintain the whole-genome sequencing pipeline: assembly of incoming sequencing data, linkage of genomes to strain records, and curation of best-available assemblies for downstream use

Own and operate the strain dereplication pipeline, advancing isolated colonies from primary 16S/ITS screening through unique-strain identification and entry into the biobank

Design and curate screening plates for downstream functional assays, including layout, strain selection, and verification of taxonomy and safety annotations

Build and own Kingdom’s AI-compatible scientific data infrastructure:

Build AI-compatible data infrastructure for Kingdom that captures, stores, and analyzes data across a variety of modalities

Develop and apply statistical and computational methods to power biological insights and support wet-lab workflows, including experimental design, metric development and validation, and method onboarding, powered with new AI/agentic tools

Maintain the integrity of the strain database backend: tube tracking, naming conventions, and audits of our physical inventory and pipeline data to identify anomalies

Model complex, interrelated scientific entities (samples, experiments, runs, results, physical inventory) into a coherent schema and ontology the team can work in

Scope, build, and ship the data processing, analysis, and metrics that give new assays clear, validated benchmarks

COMPETENCIES & QUALIFICATIONS

PhD (or equivalent depth) in computational biology, bioinformatics, microbial genomics, or a related quantitative life-sciences field; ~1-3 years post-PhD

Domain depth in microbial genomics: whole-genome sequencing, 16S/ITS amplicon analysis, dereplication, taxonomy, and genomic safety annotation

Stro