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Machine Learning Biology Jobs in Tennessee (NOW HIRING)

Meharry Medical College

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 ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

... and machine learning; * Good programming skills in at least one programming language (e.g., Python, R, etc). * A good understanding of genetics or molecular biology is a plus, but not required.

Oracle

Sr. Principal Applied Scientist

Nashville, TN · On-site

... biology, genomics, bioinformatics, life sciences, or a comparable scientific field. * Significant hands-on experience applying data science, machine learning, AI integration, data engineering, or ...

HCA Healthcare

Staff MLOps Engineer

Nashville, TN · On-site

... 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 ...

HCA Healthcare

Staff MLOps Engineer

Franklin, TN · On-site

... 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 ...

HCA Healthcare

Staff MLOps Engineer

Murfreesboro, TN · On-site

... 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 ...

HCA Healthcare

Staff MLOps Engineer

Lebanon, TN · On-site

... 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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All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in Tennessee

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 Sep 2, 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 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 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:

Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,368 per year, or $22.8 per hour.

Postdoc/Computational Researcher (Quantum Computing for Chemistry and Biology) at St. Jude Chil[...]

CDL Labor Logistics

Memphis, TN • On-site

$52 - $72/hr

Other

Posted yesterday

New

Job description

Postdoc/Computational Researcher (Quantum Computing for Chemistry and Biology) job at St. Jude Children's Research Hospital. Memphis, TN.

Join an excellent team of researchers dedicated to coming closer to the mission of St. Jude Children's Research Hospital, that no child will die at the dawn of life. The Quantum AI for Bio (QAI4Bio) Lab led by Dr. Christoph Gorgulla in the Center of Excellence for Data-Driven Discovery in the Structural Biology Department seeks a skilled and highly motivated Postdoc or Computational Researcher in quantum machine learning. Our research group is focused on developing state‑of‑the‑art computational methods for ligand/drug discovery, using machine learning, high‑performance/cloud computing, and quantum chemistry and quantum computing. Our group also includes a wet lab dedicated to experimentally verifying the computationally predicted results in real‑world drug discovery projects.

You will join an interdisciplinary team to push the boundaries of what’s possible at the intersection of artificial intelligence and molecular modeling, building novel AI systems to advance discovery in chemistry, ligand discovery, and quantum approaches.

The successful candidate will have the opportunity to lead collaborative projects, mentor junior scientists and students, and contribute to high‑impact publications. By working together in a collaborative and intellectually stimulating environment, you will have the opportunity to make a lasting impact on the lives of children fighting cancer and other life‑threatening diseases.

The position can be a Postdoc position or a Computational Researcher position, depending on the preference of the candidate.

Key Responsibilities
  • Develop and optimize quantum machine learning methods for problems in molecular modeling (e.g. drug discovery and/or quantum chemistry)
  • Collaborate with computational chemists, structural biologists, and experimental scientists within the QAI4Bio Lab and the broader Structural Biology Department.
  • Collaborate closely with domain scientists to define impactful research directions and translate theory into practice
  • Contribute to large‑scale computational pipelines for tasks such as molecular property prediction, drug discovery, or quantum circuit design
  • Publish high‑quality research in top‑tier journals and conferences
  • Work with colleagues to deploy models into production research platforms or scientific software tools
Required Qualifications
  • Proven hands‑on experience (3+ years preferred) in quantum computing and quantum machine learning research and development
  • Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
  • Proficiency in quantum computing frameworks such as Qiskit, CUDA Q, Pennylane, …
  • Excellent programming skills in Python.
  • Ability to work independently in a fast‑paced, interdisciplinary environment
Preferred Qualifications
  • PhD in Computer Science, Chemistry, Physics, Engineering, or a related discipline.
  • Expertise in quantum chemistry
  • Demonstrated expertise in applying geometric deep learning to 3D data, such as experience with Graph Neural Networks (GNNs) for molecular graphs, deep learning on 3D point clouds or volumetric data for molecular structures, and/or understanding of molecular descriptors and featurization for deep learning.
  • Familiarity with molecular modeling software (e.g., RDKit, OpenBabel) and/or structural biology concepts is highly desirable.
  • Experience with cloud or HPC environments and GPU‑based training pipelines
  • Record of publications in AI/ML and physical sciences journals or conferences
  • Familiarity with quantum/chemistry software
Work Location

We highly value the dynamic and collaborative environment fostered by in‑person or hybrid work arrangements, which allows for seamless direct engagement and deep team synergy. In exceptional cases, we are also open to exploring fully remote work, with regular periodic travel to our Memphis campus for essential meetings and key collaborative sessions.

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