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Machine Learning Engineer Biotech Jobs in Tucson, AZ

Mesa Labs

Firmware Engineer

Tucson, AZ · On-site

$80K - $100K/yr

Implement solutions in machine language, assembly, and high-level languages (C, C++). * Testing ... Continuous Learning & Improvement: * Apply company policies, procedures, and engineering standards ...

Mesa Labs

Firmware Engineer

Tucson, AZ

$80K - $100K/yr

Implement solutions in machine language, assembly, and high-level languages (C, C++). * Testing ... Continuous Learning & Improvement: * Apply company policies, procedures, and engineering standards ...

Varsity Tutors

Linear Algebra Tutor

Tucson, AZ · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Mechanical Engineering Tutor

Tucson, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

FLSmidth & Co. A/S

Project Engineer

Tucson, AZ · On-site

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

FLSmidth & Co. A/S

Project Engineer

Tucson, AZ · On-site

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

FLSmidth, Inc.

Project Engineer

Tucson, AZ

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

FLSmidth, Inc.

Project Engineer

Tucson, AZ

Evaluates field installations and recommends design modifications to eliminate machine or system ... Update knowledge continuously on product drawing standards through learning and sharing. What we ...

Arete Associates

Mechanical Engineer

Tucson, AZ · On-site

$90K - $115K/yr

Comfortable working in a hands-on general machine shop environment * Proficient in using standard ... Possesses intellectual curiosity and a strong desire for continuous learning. * Skilled and ...

Varsity Tutors

Statics Tutor

Tucson, AZ · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Tucson, AZ

Machine Learning Engineer Biotech information

See Tucson, AZ salary details

$29.8K

$121.7K

$182.9K

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

As of Jul 19, 2026, the average yearly pay for machine learning engineer biotech in Tucson, AZ is $121,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

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, and why are they important?

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 Tucson, AZ? For Machine Learning Engineer Biotech jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Tucson, AZ look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Machine Learning Engineer Biotech jobs? Cities near Tucson, AZ with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you
Firmware Engineer

Firmware Engineer

Mesa Labs

Tucson, AZ • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

Are you looking for an opportunity to make a difference? At Mesa Labs we're passionate about protecting the vulnerable by enabling scientific breakthroughs, ensuring product integrity, increasing patient and worker safety, and improving quality of life around the world.
At Mesa Labs we offer competitive wages, including potential bonus opportunities, equity awards, commission, and a comprehensive benefits package based on the position.
Base Compensation Range: $80,000 - $100,000
*In addition, you qualify for:
  • Annual bonus opportunity of 10% based on company performance

Outstanding Benefits and PerksWe are proud to offer a variety of benefits that meet the diverse needs of our employees:
  • Eligible for benefits the first day of the month after you start
  • Tiered Medical, Dental and Vision Insurance options, Health savings (HSA), healthcare & dependent care flexible spending (FSA) accounts
  • Company paid short term and long-term disability (unless covered by a state disability plan)
  • Company paid life insurance and AD&D
  • Flexible Time Off Policy
  • Paid sick leave of 48 hours per calendar year
  • Eligible employees may receive four (4) weeks paid Care Giver leave after 1 year of service or in accordance with state leave laws
  • 401(k) plan that provides a 4% Safe Harbor company match on a 4% employee contribution that begins on Day 1
  • Employee Wellness and Financial Assistance Resources through Cigna and NY Life
  • Nine (9) paid company holidays per year

Gyros Protein Technologies provides automated systems for protein analysis and peptide synthesis solutions that accelerate the discovery, development, and manufacture of biotherapeutic drugs.
Job Summary
The Firmware Engineer develops professional expertise in designing, programming, debugging, and modifying firmware for embedded systems. This role supports hardware and software integration, working with analog and digital systems to ensure reliable and efficient operation. With a foundation in programming languages such as C, C++, assembly, and machine language, the Firmware Engineer contributes to troubleshooting, testing, and refining embedded code under guidance, while growing technical independence.
Duties/Responsibilities
  • Firmware Development & Programming:
    • Design, code, debug, and maintain firmware for embedded systems.
    • Implement solutions in machine language, assembly, and high-level languages (C, C++).
  • Testing & Troubleshooting:
    • Troubleshoot, debug, and optimize embedded code for functionality, performance, and reliability.
    • Assist in resolving software and hardware integration issues.
  • Hardware & Software Integration:
    • Work with analog and digital hardware designs, ensuring firmware compatibility.
    • Support operating system-level software interaction with embedded hardware.
  • Collaboration:
    • Partner with hardware, electrical, and systems engineers on design reviews and integration efforts.
    • Document and communicate issues, fixes, and improvements to cross-functional teams.
  • Continuous Learning & Improvement:
    • Apply company policies, procedures, and engineering standards while gaining exposure to advanced concepts.
    • Contribute to process improvements and the creation of best practices for firmware development.

Experience/Education
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • 2 years of firmware, software, or embedded systems engineering experience.

Knowledge and Skillsets Required
  • Proficiency in programming languages such as C, C++, assembly, and machine language.
  • Understanding of embedded systems, operating systems, and microcontroller architectures.
  • Exposure to hardware design concepts, both analog and digital.
  • Strong problem-solving and analytical abilities.
  • Effective communication and teamwork skills.

Additional Desired Skills/Competencies:
The ideal Firmware Engineer candidate will have demonstrated proficiency in the following areas:
  • Communication protocols such as I2C, SPI, and UART and wireless protocols such as Bluetooth and TCP/IP
  • Interfaces such as serial RS-232 and RS-485, USB, Ethernet
  • ESP32 and PIC microcontrollers
  • Version control systems, especially GitLab
  • Basic PCB design skills and familiarity with associated design tools, especially Altium or KinCAD

Physical Demands:
  • Sitting: Often for extended periods at desks or meetings.
  • Standing or walking: Occasionally for meetings or office tasks.
  • Using computers: Typing and using office equipment.
  • Lifting: Light, less than 10 pounds.
  • Repetitive motions: Frequent use of keyboard and mouse.

Environmental Conditions:
  • Workspace: Climate control (air conditioning or heating) to ensure comfort.
  • Lighting: Adjustable lighting to reduce eye strain.
  • Noise Levels: The noise level is moderate, with occasional interruptions from phone calls and conversations. Use non-canceling headphones if necessary.
  • Ergonomics: Workstations with desk and adjustable chairs to support good postures.
  • Ventilation: Good ventilation to ensure a comfortable working environment, though this can vary depending on the building.

Mesa Labs is an Equal Employment Opportunity Employer.
Mesa Labs prohibits unlawful discrimination and harassment against applicants or employees based on age, race, sex, color, religion, creed, national origin or ancestry, disability, military status, sexual orientation, or any other status protected by applicable state or local law. Please note that Mesa Labs conducts criminal background checks upon offer acceptance
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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