John Snow Labs
johnsnowlabs.com
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Medical AI
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News
How Better Data Annotation Improves AI Model Performance
Better data annotation-more accurate, detailed or contextually rich-can drastically improve an AI system's performance, adaptability and fairness.
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John Snow Labs Acquires WiseCube to Bolster AI-Powered Biomedical Knowledge and Drug Discovery
John Snow Labs acquires WiseCube, a pioneer in biomedical knowledge graphs and AI-powered literature analysis.
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AI Co-Pilots: How Devs Can Ensure Trustworthy, Reliable Performance
Ensuring co-pilots consistently deliver reliable, accurate support requires a strategic approach grounded in both technical innovation and strong human oversight.
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The Case for Healthcare-Specific Large Language Models
To fully realize the potential of AI in medicine, we must embrace the need for healthcare-specific AI because precision is not just a luxury
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Not All AI Is Created Equally: The Case For Healthcare-Specific LLMs
Not all AI is created equally, and healthcare is a prime example of why. Here are some important considerations for practitioners.
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20 Ways AI Will Shape The Long-Term Future Of Business
Businesses can expect significant efficiency gains with AI's ability to streamline processes, enhance decision-making and personalize user experiences.
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Misconceptions About Open-Source Solutions Clarified By Tech Experts
Open-source solutions power everything from website builds to ready-made and custom applications, but many businesses don't know of all the benefits and drawbacks.
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Interactive AI Systems: 20 Build Challenges (And How To Solve Them)
A well-designed interactive AI system can bring cost, competitive and productivity advantages, but developing one comes with complications you must be prepared for.
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How AI Is Making Life And Work More Complicated (And How To Fix It)
While we hear a lot about how artificial intelligence is and will be making life and work easier, its growing use also comes with complications.
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Tech stack
Technologies named in job postings at John Snow Labs over the last 12 months, by layer, with the share of postings for each.
Technologies in use
26
Postings analysed
2
Stack modernity
84/100AI adopter
Languages
SQL
Python
Frameworks & libraries
PyTorch
Transformers
Cloud & platforms
Amazon S3
Azure
Spark
TGI
vLLM
Developer tools
Axolotl
FHIR
HL7
Rest API
llama.cpp
AI & ML
LLM
PEFT
Practices & domains
Machine Learning
NLP
DPO
ETL/ELT
Fine-tuning
PPO
Prompt Engineering
Quantization
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Salary insights
Compensation ranges based on this company's open jobs
Median
$120k
Typical range
$120k
Open positions
1
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $120k | $120k |
Highest paying role
Healthcare Data Integration Engineer (FHIR / OMOP)
$120k
Normalized to USD per year
Growth
Hiring Momentum
10/100
Hiring freeze
Open positions
1
0 opened / 1 closed in 30 days
Median time-to-fill
430 days
faster than 3% of the market
ATS activity
Every ~5 hours
Today
Hiring Dynamics
-67%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
100% ▼
Activity Timeline
Added HL7 to stack
Oct 2026
Added FHIR to stack
Oct 2026
Added Machine Learning to stack
Sep 2026
Added ETL/ELT to stack
Aug 2026
Added Amazon S3 to stack
Aug 2026
Added TGI to stack
Aug 2026
Added SFT to stack
Aug 2026
Added PPO to stack
Aug 2026
Added DPO to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Lewes
United States
HQ
50-200 est. staff
Jobs
$80k – $120k per year · Remote (United States, US time zones hours) · Contractor · 2+ years exp · Master's Degree · United States
Python
SQL
Spark
NLP
Machine Learning
DevOps
Rest API
Azure
Amazon S3
Analytics
ETL/ELT
MedTech
HL7
FHIR
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Financials
Total raised
$299k
Latest round
Grant
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Grant | 2024 | $299k | Details |