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Orakl Oncology

Orakl Oncology

www.orakl-oncology.com

2 Jobs

28 Employees

About the Company

Orakl Oncology leverages a unique collection of patient tumor avatars that combines biology and clinical data to fuel the therapeutic arsenal to fight cancer. With our platform we partner with oncology players to identify relevant targets and deliver new drugs, faster.

Listed Jobs

Company background Company brand
Company Name
Orakl Oncology
Job Title
Senior Scientist
Job Description
**Job Title** Senior Scientist **Role Summary** Design, develop, and optimize 3D organoid-based screening assays to accelerate oncology drug discovery. Lead experimental pipelines, collaborate with external vendors, and generate high‑quality data for AI-driven predictive modeling. **Expectations** * Lead end‑to‑end organoid drug screening projects. * Deliver reproducible, quantitative data within tight timelines. * Maintain rigorous documentation and reporting. * Mentor junior staff and establish laboratory standards. **Key Responsibilities** - Build and refine patient‑derived organoid culture and maintenance protocols. - Design and run high‑throughput drug screening experiments (dose‑response, time‑course, combination assays). - Perform CRISPR gene‑editing in organoids: gRNA design, delivery, optimization, and troubleshooting. - Develop and validate assay readouts; implement QC measures. - Analyze experimental data, interpret results, and compile comprehensive reports. - Coordinate with CROs, academic partners, and vendor suppliers. - Mentor and train junior scientists and technicians. - Contribute to cross‑functional oncology research and early‑stage drug discovery initiatives. **Required Skills** - Hands‑on expertise in 3D cell culture, patient‑derived organoids, and high‑throughput screening. - Proficiency in CRISPR gene‑editing in mammalian systems, including gRNA design and troubleshooting. - Strong molecular biology, cloning, and assay development skills. - Excellent sterile technique and routine culture competence. - Analytical and quantitative data interpretation; clear documentation. - Ability to independently plan, prioritize, and execute complex experimental workflows. **Required Education & Certifications** - PhD in Molecular Biology, Cancer Biology, Biotechnology, or a closely related field. - 1–5 years of post‑doctoral or industry experience (preferred). ---
Le kremlin-bicêtre, France
Hybrid
Senior
26-12-2025
Company background Company brand
Company Name
Orakl Oncology
Job Title
Data Scientist Intern
Job Description
**Job Title:** Data Scientist Intern **Role Summary:** Assist in designing, building, and optimizing data ingestion, processing, and analytics workflows for wet‑lab oncology research. Collaborate closely with biologists to improve data quality, automate error detection, integrate multimodal data, and create actionable dashboards for cross‑functional teams. **Expectations:** - Work in a fast‑paced, ambiguous environment; take initiative and operate autonomously. - Deliver functional data pipelines, statistical analyses, and visualization tools that directly impact experimental decision‑making. - Communicate findings clearly to biology and engineering teams. **Key Responsibilities:** - Build and refine data ingestion pipelines, including automated error‑detection and multimodal integration. - Apply statistical methods to evaluate experimental conditions, data quality, and reproducibility. - Develop and maintain dashboards or web applications to present wet‑lab data to cross‑functional stakeholders. **Required Skills:** - Python programming with familiarity in Git, GitHub, AWS or GCP. - Solid foundations in applied statistics (variability analysis, hypothesis testing, drift detection). - Experience developing data pipelines or ETL processes (Airflow, Prefect, or similar). - Proficiency in data visualization (matplotlib, Plotly, Streamlit, Dash) or similar tools. - Ability to translate biological context into data science solutions. - Strong written and spoken English. **Required Education & Certifications:** - BSc, MSc, MEng, or equivalent in statistics, machine learning, data science, or related field.
Le kremlin-bicêtre, France
Hybrid
Fresher
16-01-2026