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Orakl Oncology Tech Stack

AI-powered drug discovery platform using patient tumor avatars for oncology

Biotechnology Research Paris, Île-de-France 2–10 employees Privately Held

Orakl Oncology combines patient tumor biology with AI to accelerate oncology drug development. The tech stack—Python, Airflow, Prefect, Streamlit, AWS/GCP—reveals an early-stage biotech with strong data-infrastructure foundations for processing multi-omics datasets and microscopy imaging. Active hiring across research, engineering, and data, combined with projects around biobank expansion and large-scale drug screening, suggests rapid scaling of wet-lab operations and computational throughput.

Tech Stack 15 technologies

Core StackPython GitHub AWS Apache Airflow Prefect Slack Microsoft Office PowerPoint Excel matplotlib Plotly Streamlit Dash GCP Notion

What Orakl Oncology Is Building

◆Challenges

Expanding biobank capacity
Improving automation workflows
Maintaining culture
Non-dilutive funding opportunities
Closing complex partnership deals
Expanding partnership pipeline
Underexploited microscopy images
Limited lab capacity
Aligning stakeholders across functions
Low clinical trial success rate

▲Active Projects

Biobank expansion
Multi-omics dataset curation
Drift metrics design for pdos
All-hands meetings
Large-scale drug screening assays
Imaging workflows for wet-lab operations
Evaluate predictive power of microscopy images
Board meetings and investor reports
3d cell culture and drug screening experimentations
Non-dilutive funding opportunities

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Research

7

Executive

5

Engineering

3

Sales

3

Data

2

HR

2

Legal

1

Seniority

Intern

8

Senior

6

Junior

3

Director

2

Lead

2

Manager

1

Mid

1

Notable leadership hires: Chief of Staff, Head of People, Head of Legal

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About Orakl Oncology

Orakl Oncology is a Paris-based biotech platform that uses patient tumor avatars—computational models combining tumor biology and clinical data—to identify drug targets and accelerate development timelines for oncology therapeutics. The company partners with established pharma and biotech players to run target identification and early-stage screening workflows. Operations span wet-lab work (3D cell culture, imaging, drug screening assays), biobank management, and computational layers (multi-omics curation, predictive modeling). The organization is 2–10 employees with accelerating headcount velocity, focused on France-based hiring.

HeadquartersParis, Île-de-France

Company Size2–10 employees

Hiring MarketsFrance

Frequently Asked Questions

What is Orakl Oncology's platform technology?

Orakl Oncology uses patient tumor avatars—models combining tumor biology and clinical data—to identify oncology drug targets and enable faster drug development cycles through partnership with pharma companies.

What tech stack does Orakl Oncology use?

Python, Apache Airflow, Prefect, Streamlit, AWS, GCP, GitHub, and data-visualization tools (matplotlib, Plotly, Dash). The stack emphasizes workflow automation and computational biology.