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Machine Learning Biology Jobs in Tennessee (NOW HIRING)

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

... machine learning. * Proficiency in Python, R, or related programming languages for data analysis and scientific computing. * A good understanding of genetics or molecular biology is a plus, but not ...

... health/biology sciences, to design holistic MLOps solutions that meet the unique needs of the organization. • DevOps for Machine Learning Workloads: Build and maintain robust DevOps pipelines ...

... health/biology sciences, to design holistic MLOps solutions that meet the unique needs of the organization. • DevOps for Machine Learning Workloads: Build and maintain robust DevOps pipelines ...

... health/biology sciences, to design holistic MLOps solutions that meet the unique needs of the organization. • DevOps for Machine Learning Workloads: Build and maintain robust DevOps pipelines ...

... health/biology sciences, to design holistic MLOps solutions that meet the unique needs of the organization. • DevOps for Machine Learning Workloads: Build and maintain robust DevOps pipelines ...

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Machine Learning Biology information

See Tennessee salary details

$20.9K

$47.4K

$67.6K

How much do machine learning biology jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning biology in Tennessee is $47,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,900.00 and $54,900.00 per year, depending on experience, location, and employer.

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.

Is ML a high paying job?

Machine Learning Biology roles are generally well-paid due to the specialized skills required, such as expertise in data analysis, programming, and biological sciences. Salaries vary based on experience, location, and industry, but they tend to be higher than average for many entry-level positions in related fields.

What is a Machine Learning Biology job?

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.

Is AI taking over biology jobs?

Machine Learning Biology professionals use AI and data analysis to advance biological research, but AI is generally a tool that complements rather than replaces human expertise. Many roles require domain knowledge, critical thinking, and interpretation skills that AI cannot fully replicate, so AI is more of an aid than a threat to biology jobs.

What are the key skills and qualifications needed to thrive in the Machine Learning Biology position, and why are they important?

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 is machine learning in biology?

Machine learning in biology involves using algorithms and statistical models to analyze biological data, such as genetic sequences or imaging, to identify patterns and make predictions. Professionals in this field often work with large datasets and tools like Python or R to develop models that can assist in tasks like disease diagnosis, drug discovery, and understanding biological processes.

What biology jobs pay over $100k?

In the field of machine learning biology, roles such as bioinformatics director, computational biologist, and data science lead often have salaries exceeding $100,000, especially with advanced skills in programming, statistical analysis, and experience with tools like Python, R, and machine learning frameworks. These positions typically require a strong background in biology and data science, along with relevant advanced degrees and experience in research or industry settings.
What are popular job titles related to Machine Learning Biology jobs in Tennessee? For Machine Learning Biology jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Tennessee look for? The top searched job categories for Machine Learning Biology jobs in Tennessee are:
Postdoctoral Fellow

Postdoctoral Fellow

Meharry Medical College

Nashville, TN • On-site

$47K - $64K/yr

Full-time

Posted 21 days ago


Job description

The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases. The Fellow will work closely with the PI on collaborative, interdisciplinary projects and contribute to student training, while advancing Meharry's mission in biomedical research and workforce development. The position provides access to state-of-the-art computational infrastructure and offers opportunities for career development, publications, and grant participation..
Essential Functions (Principal Duties and Job Responsibilities):
  • Computational and statistical analysis of genomic and biomedical data (40%)
  • Development of AI/ML methods and bioinformatics pipelines (30%)
  • Manuscript preparation, presentations, and grant support (20%)
  • Mentoring and training students (10%)

Knowledge, Skills and Abilities Required:
  • Solid computing background or data experience, e.g., high-performance computing and machine learning.
  • Proficiency in Python, R, or related programming languages for data analysis and scientific computing.
  • A good understanding of genetics or molecular biology is a plus, but not required.

Knowledge, Skills, Abilities Preferred:
  • A computing background is preferred

Education and Experience Required:
  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline.

Education and Experience Preferred:
  • Experience in bioinformatics, genomics, machine learning, artificial intelligence, or biomedical data science is preferred.

Equal Employment Opportunity Statement
Meharry Medical College complies with Title IX and is an affirmative action employer. Candidates will be considered for employment without discrimination for an non-merit reason such as race, color, national origin, sex, religion, age, handicap or veteran status.