Kingdom

Biotech

SeniorScientist,AI&DataInfrastructure

$133–160k Brooklyn, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Biotech
Problems you'll solve

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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