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Machine Learning Biology Jobs in Dallas, TX (NOW HIRING)

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Machine Learning Biology information

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$22.8K

$51.6K

$73.7K

How much do machine learning biology jobs pay per year?

As of Aug 30, 2026, the average yearly pay for machine learning biology in Dallas, TX is $51,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $59,800.00 per year, depending on experience, location, and employer.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What are the most commonly searched types of Machine Learning Biology jobs in Dallas, TX?

The most popular types of Machine Learning Biology jobs in Dallas, TX are:

What are popular job titles related to Machine Learning Biology jobs in Dallas, TX?

For Machine Learning Biology jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biology jobs in Dallas, TX look for?

The top searched job categories for Machine Learning Biology jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Machine Learning Biology jobs?

Cities near Dallas, TX with the most Machine Learning Biology job openings:

Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $51,628 per year, or $24.8 per hour.

Senior AI Scientist Drug Discovery & Computational Biology

Vytwo

Dallas, TX • On-site

$180 - $240/hr

Other

Posted 24 days ago

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.

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