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

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92 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
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
Microsoft	AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration	Big Tech	8	L0
Instacart	Director of Product, Agentic Commerce	Consumer	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
Merck	Sr. Manager, MCICC	Pharma	8	L2
Tempus AI	Staff AI Scientist - AI Products / Life Sciences	Vertical AI	8	L2
OpenAI	Product Manager, Bio Safety	AI Frontier	8	L5
OpenAI	Technical Deployment Lead, Forward Deployed Engineering (FDE) - NYC	AI Frontier	8	L6
Modal	Forward Deployed Engineer - ML	Data AI	8	L3
Microsoft	Senior Researcher - Machine Learning - Microsoft Research	Big Tech	8	L2
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
Microsoft	Senior Researcher - Machine Learning for Life Sciences - Microsoft Research	Big Tech	8	L2
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
Merck	Senior Scientist/Senior Data Scientist, Talent Accelerator Program	Pharma	7	L0
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
Merck	Senior Specialist, Computational Protein Design	Pharma	7	L0

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