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Machine Learning Engineer Biotech Jobs in Albuquerque, NM

Via Logic LLC

AIOps Engineer SME

Albuquerque, NM · On-site

$131.30 - $237.35/hr

Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations. * Secure Data Integration: Engineer secure data ...

Koitecc Solutions

AIOps Engineer SME

Albuquerque, NM · On-site

$131.30 - $237.35/hr

Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations. * Secure Data Integration: Engineer secure data ...

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Showing results 21-40

All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Albuquerque, NM

Machine Learning Engineer Biotech information

See Albuquerque, NM salary details

$30.5K

$124.8K

$187.6K

How much do machine learning engineer biotech jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer biotech in Albuquerque, NM is $124,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do machine learning engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a machine learning engineer in biotech?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Albuquerque, NM?

For Machine Learning Engineer Biotech jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Biotech jobs in Albuquerque, NM look for?

The top searched job categories for Machine Learning Engineer Biotech jobs in Albuquerque, NM are:

Machine Learning Engineer Biotech jobs near you
Infographic showing various Machine Learning Engineer Biotech job openings in Albuquerque, NM 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, with an average salary of $124,819 per year, or $60 per hour.

Scientific Software Developer (ABQ)

Stellar Science

Albuquerque, NM • On-site

Full-time

Re-posted 11 days ago

Job description

We hire smart Scientists and Software Engineers who love to create and maintain high quality, extensible code using modern C++ practices.
Support software development in the following domains: computer vision and image processing, image simulation, laser or high-power microwave source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
Minimum Requirements:
  • B.S. in math, science, computational engineering, an engineering field, or computer science
  • Substantial software development experience
  • Object-oriented development and C++ programming experience
  • Adept at learning new paradigms and programming development processes
  • Enthusiasm for developing modern, high-quality C++23 code
  • U.S. citizen, willing to undergo background investigation, and perform some work at government and/or customer sites

Desired:
  • Advanced degree (M.S. or Ph.D.) in science, an engineering field, math, or computer science
  • Active security clearance

Experience in any of the following is a plus:
  • Additional languages: Python, Java, TypeScript
  • C++ Boost, Eigen libraries
  • Cross-platform software development on Linux and Windows
  • 3D graphics using OpenGL, Open Scene Graph, Vulkan, and/or WebGL
  • User interface development with Qt, Material UI, Java Swing
  • Supercomputing: OpenMP, threads, MPI, GPUs/CUDA/Optix
  • Image processing, imagery analysis, or computer vision, computer aided design (CAD)
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Spacecraft subsystem modeling
  • Modeling and simulation, including directed energy
  • Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow
  • Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression, clustering)
  • Experience with Advanced Framework for Simulation Integration & Modeling (AFSIM)
  • Experience with client- and server- side web applications
  • Experience or interest in building collaborative web tools

A representative sample of your code may be requested early in the evaluation process, e.g. something you've written for work, for a class, or for fun. It should be long enough to help evaluate your programming and software engineering skills.

Apply