Data Scientist AI Computational

MD Anderson Cancer Center • Houston, TX • 12h ago

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.

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Why Us?

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.

Job Responsibilities

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

EXPECTED SKILLS

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. TensorFlow, sklearn, Keras, etc.)

Unix, Python, R/Matlab, or other scripting/programming languages

Excellent working knowledge of statistical methods and tests

EDUCATION:

Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.

Preferred: Master's Degree Science, Engineering or related field. PhD Science, Engineering or related field.

EXPERIENCE:

Required: Three years scientific software or industry development/analysis experience. With Master's degree, one year experience. With PhD, no experience required.

Preferred: Machine Learning, Large language model, AI Agent and/or Biomedical Research is a plus.

The University of Texas MD Anderson Cancer Center offers excellent https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs, tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

Additional Information

Requisition ID: 182873

Employment Status: Full-Time

Employee Status: Regular

Work Week: Days

Minimum Salary: US Dollar (USD) 106,500

Midpoint Salary: US Dollar (USD) 133,000

Maximum Salary : US Dollar (USD) 159,500

FLSA: exempt and not eligible for overtime pay

Fund Type: Soft

Work Location: Hybrid Onsite/Remote

Pivotal Position: Yes

Referral Bonus Available?: Yes

Relocation Assistance Available?: Yes

LI-Hybrid

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