AI Internship, Sable Bio

3-6 Month Fixed Term Contract

£30-35k

Python

Tensorflow

PyTorch

Git

London

More information about location

1-5 days a week in office (Spitalfields, London)

Comprehensive target safety intelligence in one place

Be an early applicant

Comprehensive target safety intelligence in one place

1-20 employees

HealthcareB2BArtificial IntelligenceBiologyMachine LearningSaaSBiotechnology MedTech

Be an early applicant

£30-35k

Python

Tensorflow

PyTorch

Git

London

More information about location

1-5 days a week in office (Spitalfields, London)

1-20 employees

HealthcareB2BArtificial IntelligenceBiologyMachine LearningSaaSBiotechnology MedTech

Company mission

Navigate target safety with augmented intelligence.

Job

Company

Role

Who you are

Currently pursuing or recently completed a degree in Computer Science, AI/ML, Data Science, or related biomedical field
Strong programming skills in Python
Experience with machine learning frameworks (e.g., PyTorch, TensorFlow)
Solid foundation in machine learning concepts
Good communication skills and ability to explain technical concepts clearly
Ability to work in a collaborative environment

Desirable

Experience with NLP or language models
Background or interest in biomedical sciences
Experience working with scientific or healthcare data
Experience with version control (Git)

What the job involves

Develop and implement machine learning models for biological data analysis
Work on specialized NLP models for processing scientific literature
Contribute to our Python-based development pipeline
Collaborate with our multidisciplinary team of biologists and engineers
Help translate complex model outputs into interpretable insights
Document and present findings to the wider team and externally

Salary benchmarks

Our take

Sable Bio is stepping into an essential area of biotechnology, where drug safety is a top priority. As demand for new, safer medicines rises, toxicity-related issues often slow down drug development, causing costly delays or failures. With AI and data-driven solutions gaining traction, there's a real opportunity to make safety assessments faster and more efficient.

What makes Sable unique is its use of AI to improve drug safety assessments. With this, Sable analyzes various biomedical data sets to detect potential toxicity in new medicines before human trials. By tapping into the scientific literature and diverse data sources, it spots safety risks quicker, helping drug developers make better decisions and save them time and money.

The company has secured substantial funding, which will help it expand its technology and form key partnerships with biotech, pharma, and healthtech companies. As Sable continues to grow, its platform has the potential to transform drug development by reducing risks and improving patient outcomes.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Strong hiring activity

20% female employees

Company

Funding (1 round)

Jan 2024

$1.9m

Early VC

Total funding: $1.9m

Company benefits

Every Friday afternoon free for personal development
Private medical plan
Annual training budget for professional development
Opportunity to shape the future of our company and grow as we grow

Company values

We are differentiators
We are adaptable
We are science-led
We are transparent
We are focussed
We are prudent

Company HQ

Spitalfields, London, UK

Articles

Sable Bio Secures £1.5M in Pre-Seed Funding to Enhance Drug Safety Testing

Leadership

Alex de Giorgio

(Co-Founder & CEO)

Prior to founding Sable, Alex worked at BenevolentAI, leading multiple disease deployments, and pioneering new methods for relationship extraction.

Josh Almond-Thynne

(Co-Founder & CSO)

Prior to founding Sable, Josh helped deliver two pre-clinical candidates as a medicinal chemist at BenevolentAI. He pioneered the use of unstructured data in medicinal chemistry.

Olly Oechsle

(CTO)

Prior to joining Sable, Olly spent eight years at BenevolentAI working on applications, data pipelines and Natural Language Processing (NLP) techniques, as VP of Product Engineering.

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