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Machine Learning Computational Biology Jobs in Texas

Baylor Genetics

AD Scientific Innovation

Houston, TX · On-site

The successful candidate will lead innovation initiatives across computational biology, machine learning, genomics, cloud computing, and software platforms while partnering closely with R&D, ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Computational Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most ...

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Machine Learning Computational Biology information

What types of projects might I work on as a machine learning computational biology specialist?

As a Machine Learning Computational Biology specialist, you may work on projects ranging from analyzing large-scale genomic data to developing predictive models for disease risk or drug response. Typical tasks include designing and implementing machine learning algorithms to identify patterns in biological datasets, collaborating with biologists and clinicians to interpret results, and contributing to publications or presentations. You'll often be part of a multidisciplinary team, interacting with data scientists, laboratory researchers, and software engineers. This role offers the opportunity to work on cutting-edge biomedical research and have a direct impact on advancements in healthcare and life sciences.

What is a machine learning computational biology?

A Machine Learning Computational Biology job involves applying machine learning techniques to analyze biological data, such as genomics, proteomics, and medical imaging. Professionals in this field develop algorithms and models to identify patterns, make predictions, and generate insights that can drive scientific discovery or improve healthcare. They typically work with large datasets, employing statistical and computational methods to solve complex biological problems. The role often requires expertise in programming, data science, and domain-specific biological knowledge. It is commonly found in academia, pharmaceutical companies, biotech firms, and healthcare institutions.

What are the key skills and qualifications needed to thrive in the machine learning computational biology position, and why are they important?

To thrive as a Machine Learning Computational Biology professional, you need a strong background in biology, statistics, computer science, and machine learning, typically supported by an advanced degree in a relevant field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools, and knowledge of machine learning frameworks like TensorFlow or scikit-learn are commonly required. Strong analytical thinking, effective communication, and the ability to work collaboratively in interdisciplinary teams are highly valued soft skills. These qualifications are essential for solving complex biological problems, developing robust computational models, and effectively communicating findings to both technical and non-technical stakeholders.

What jobs can I get with a machine learning computational biology degree?

A degree in machine learning computational biology can lead to roles such as bioinformatics scientist, computational biologist, data scientist, or machine learning engineer in healthcare, biotech, or pharmaceutical companies. These positions often require skills in programming, statistical analysis, and familiarity with biological data and tools like Python, R, or TensorFlow.
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What job categories do people searching Machine Learning Computational Biology jobs in Texas look for? The top searched job categories for Machine Learning Computational Biology jobs in Texas are:
What cities in Texas are hiring for Machine Learning Computational Biology jobs? Cities in Texas with the most Machine Learning Computational Biology job openings:
Machine Learning Computational Biology jobs near you
Infographic showing various Machine Learning Computational Biology job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior AI Scientist Drug Discovery & Computational Biology

Vytwo

Prosper, TX • On-site

$83K - $114K/yr

Full-time

Posted yesterday

New

Job description


Position Title | Senior AI Scientist – Drug Discovery & Computational Biology
Domain EXP | Healthcare
Location | Boston, MA - Hybrid
Duration | C2C
Must Have  | Drug Discovery & Computational Biology
Job Description
We are seeking a highly skilled professional with deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development. The ideal candidate will have experience in: ·                AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications.·                Graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery.·                Virtual cell screening and AI-driven target discovery platforms, with particular focus on rare disease research and therapeutic innovation.·                AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization.·                Structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows. The candidate should demonstrate a strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery and possess the ability to collaborate effectively with multidisciplinary research and development teams.