Data Scientist AI Computational

We seek a talented, energetic, and collaborative AI-driven Data Scientist to develop data science tools and predictive algorithms as part of the development of our flagship platform A3D3a:
Adaptive, AI-augmented, Drug Discovery and Development. With expertise in Machine Learning and Deep Learning, the Data Scientist will inform our mission to discover novel therapeutic opportunities for cancer patients.

Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A³D³a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A³D³a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies.

Central to this vision, the Data Scientist will innovate and deploy Machine Learning and Deep Learning approaches to uncover hidden therapeutic opportunities in integrated patient data and will work closely with biologists, data scientists, and clinicians.

At UT MD Anderson, this role offers the opportunity to help advance innovative cancer research through the development of cutting-edge artificial intelligence and machine learning technologies. The AI-Driven Data Scientist will contribute directly to therapeutic discovery efforts, collaborate with multidisciplinary experts, and support scientific advancements that may improve outcomes for cancer patients while benefiting from professional development and comprehensive employee programs.

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.

The ideal candidate will be a AI-driven Data Scientist with strong machine learning expertise, a collaborative mindset, and a passion for leveraging data to discover innovative cancer treatments and improve patient outcomes.

• Build data science tools and predictive algorithms focusing on state-of-art machine learning models
• Develop novel deep learning approaches and utilizing Large Language Models and Graph Neural Networks for cancer data
• Maintain knowledge of cutting-edge machine learning approaches and technologies and implement these where appropriate
• Perform data wrangling and preparation for deep learning analysis
• Perform statistical analysis
• Produce output for scientific publications and co-author said publications
• Prepare written reports, manuscripts, and grant applications with investigators

• Machine Learning (e.g., Naïve Bayes, Random Forests, Support Vector Machines, etc.)
• Deep Learning (e.g., Convolutional Neural Networks, Graph Neural Networks, Autoencoders, etc.)
• LLM (fine-tuning, multi-agents)
• Addressing challenges in Machine Learning / Deep Learning as well as mitigation strategies including data bias, imbalance, and model validation approaches
• Machine-learning platforms (e.g. Tensor Flow, sklearn, Keras, etc.)
• Unix, Python, R/Matlab, or other scripting/programming languages
• Excellent working knowledge of statistical methods and tests

Required:

Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics,…