What is Biotech and how common is it in AI job postings?

Biotech is a skill in the "Applied ML Domains" category. It currently appears in 92 active AI roles across 23 companies in our index.

Which companies are hiring for Biotech?

The top employers with active AI roles mentioning Biotech are: Lila Sciences (13), Johnson & Johnson (9), Pfizer (8), NVIDIA (8), OpenAI (7).

Is demand for Biotech growing?

Over the last 12 weeks, 67 new AI postings mentioned Biotech. Demand is rising — up 123% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Biotech used?

Roles requiring Biotech are concentrated in: agents (37%), post-training (24%), application (11%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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Biotech

92 active AI roles across 23 companies mention Biotech. Category: Applied ML Domains.

Demand trend

New AI postings mentioning Biotech per week — 67 total over 12 weeks.

Sector

All Pharma · 26 AI Frontier · 25 Big Tech · 22 Semiconductors · 9 Vertical AI · 5 Data AI · 4 Enterprise · 2 Consumer · 2 Media · 1 Hospitality · 1 Fintech · 1 Consulting · 1

Function

All Engineering · 55 Research · 36 Product · 8

Status

All Active only

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50 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Anthropic	Manager, Applied AI Engineering, Life Sciences (Beneficial Deployments)	AI Frontier	9	L4
Lila Sciences	Principal, Machine Learning Engineer	AI Frontier	9	L0
ByteDance	Sr. Multimodal Model Training and Inference Optimization Engineer	Big Tech	9	L2
Lila Sciences	Senior / Engineer II, AI Lab Research Engineer	AI Frontier	9	L4
ByteDance	Large Model Training Acceleration Engineer	Big Tech	9	L1
Pfizer	Principal ML/AI Cheminformatics Scientist	Pharma	8	L2
Amazon	Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare	Big Tech	8	L4
OpenAI	Technical Deployment Lead, Semiconductors	AI Frontier	8	L6
OpenAI	Technical Deployment Lead - Sydney	AI Frontier	8	L6
Tempus AI	Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D	Vertical AI	8	L4
Pfizer	Senior Scientist, Computational Biotherapeutics Engineering	Pharma	8	L2
Lila Sciences	Principal / Sr. Principal BioML Scientist	AI Frontier	8	L4
Pfizer	Director, AI Engineering--Clinical Development and Operations (CD&O)	Pharma	8	L4
Iambic	Machine Learning Scientist — Agentic data pipelines	Pharma	8	L0
Pfizer	AI/ML Engineer - Vaccine Research	Pharma	8	L2
NVIDIA	Senior Scientific Machine Learning Engineer – Earth-2	Semiconductors	8	L2
OpenAI	Technical Deployment Lead, Life Sciences	AI Frontier	8	L6
Tempus AI	Staff AI Scientist - AI Products / Life Sciences	Vertical AI	8	L2
OpenAI	Technical Deployment Lead, Forward Deployed Engineering (FDE) - NYC	AI Frontier	8	L6
Modal	Forward Deployed Engineer - ML	Data AI	8	L3
Modal	Forward Deployed Engineer - ML	Data AI	8	L3
NVIDIA	Developer Technology Engineer - AI	Semiconductors	8	L3
NVIDIA	Senior HPC Performance Engineer - AI for Science at Scale	Semiconductors	8	L3
Johnson & Johnson	Senior Manager, Oncology Data and AI Systems	Pharma	7	L4
Apple	AIML - Sr Data Scientist, Evaluation	Big Tech	7	L5
Amazon	Senior Healthcare & Life Sciences Solutions Architect, HCLS	Big Tech	7	L4
Lila Sciences	Director/Senior Director, Molecular Discovery	AI Frontier	7	L6
Expedia	Machine Learning Engineer II	Hospitality	7	L4
Google	Senior Software Engineer, Machine Learning, Debug	Big Tech	7	L3
Merck	Manager, MCICC	Pharma	7	L2

Frequently asked questions

What is Biotech and how common is it in AI job postings?
Biotech is a skill in the "Applied ML Domains" category. It currently appears in 92 active AI roles across 23 companies in our index.
Which companies are hiring for Biotech?
The top employers with active AI roles mentioning Biotech are: Lila Sciences (13), Johnson & Johnson (9), Pfizer (8), NVIDIA (8), OpenAI (7).
Is demand for Biotech growing?
Over the last 12 weeks, 67 new AI postings mentioned Biotech. Demand is rising — up 123% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Biotech used?
Roles requiring Biotech are concentrated in: agents (37%), post-training (24%), application (11%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

Biotech

Top employers

Demand trend

Frequently asked questions

Demand trend

Biotech

Top employers

Frequently asked questions