Applied AI Scientist (Machine Learning/ Data Analyst)

Job description

Job description

We are seeking a talented and innovative Applied AI Scientist to spearhead the development of AI-powered solutions in precision oncology. In this role, you will lead a team to collaborate with oncologists, data scientists, and software engineers to design machine learning models and algorithms that drive cancer treatment discovery, optimize clinical decision-making, and predict patient outcomes using multi-omics data.

Key Responsibilities

• Lead the design and development of state-of-the-art machine learning models applied to large-scale genomic and clinical datasets to identify novel cancer treatments and stratify patients for personalized medicine.
• Innovate in large language model to push the boundaries of precision medicine.
• Work closely with clinical experts, biologists, and data scientists to translate scientific insights into practical, AI-driven healthcare applications.
• Validate AI models against real-world clinical data, ensuring model accuracy and clinical relevance.
• Foster a collaborative environment, ensuring smooth integration between data engineering, analysis, and AI research.

Your skills and experience

• Prefer: Ph.D. or Master’s degree in AI, Machine Learning or a related field. 
• Previous working experience with biological data analysis, especially genomics, transcriptomics, or multi-omics datasets is a plus.
• Proven experience in building AI models for clinical decision-making, personalized medicine, or oncology applications.
• Demonstrated record in working with multi-disciplinary teams and delivering impactful AI solutions.
• Strong publication record in AI or precision medicine.
• Excellent problem-solving skills, communication, and the ability to work effectively in collaborative environments.

Why you'll love working here

• 13th month salary. 
• Holidays and full annual leave in accordance with State regulations.
• Participate in all insurances (social insurance, health insurance, unemployment insurance), enjoy full policies and regimes according to the Labor Law.
• Dynamic and humane working environment Annual trip.