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Machine Learning Engineer Biotech Jobs in Columbia, MS

Hood Lumber

PLC Technician

Silver Creek, MS · On-site

$36.07 - $40.31/hr

Troubleshoot and repair electrical machinery and control systems throughout the plant, including ... Maintain technical knowledge through training programs, workshops, and on-the-job learning.

Hood Lumber

PLC Technician

Silver Creek, MS · On-site

$36.07 - $40.31/hr

Troubleshoot and repair electrical machinery and control systems throughout the plant, including ... Maintain technical knowledge through training programs, workshops, and on-the-job learning.

DSC Dredge

Fitter III (First Class)

Poplarville, MS · On-site

... engineers, and production teams to meet project schedules and quality standards. MAJOR ... Works safely in an industrial environment and around machinery; observes and instructs others in ...

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DSC Dredge

Fitter III (First Class)

Poplarville, MS · On-site

... engineers, and production teams to meet project schedules and quality standards. MAJOR ... Works safely in an industrial environment and around machinery; observes and instructs others in ...

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Showing results 1-20

All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Columbia, MS

Machine Learning Engineer Biotech information

See Columbia, MS salary details

$28.1K

$115K

$172.9K

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

As of Jul 4, 2026, the average yearly pay for machine learning engineer biotech in Columbia, MS is $115,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,500.00 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.

Machine Learning Engineer Biotech jobs near you
Infographic showing various Machine Learning Engineer Biotech job openings in Columbia, MS as of June 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,042 per year, or $55.3 per hour.

PLC Technician

Hood Lumber

Silver Creek, MS • On-site

$36.07 - $40.31/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

Hood Lumber, a division of Hood Industries, Inc., is seeking a Controls PLC Technician to join our Silver Creek lumber mill. Our facility employs approximately 150 team members and plays a vital role in our lumber production operations.
In this role, you will troubleshoot, repair, program, and maintain industrial control systems to support safe, reliable, and efficient production. The ideal candidate has a strong understanding of automation, electrical systems, and industrial equipment controls.
This is an excellent time to join our team. We are looking for a skilled Controls PLC Technician who wants to grow their career with a company committed to safety, operational excellence, and long-term success. This role offers the opportunity to work in a collaborative environment that values craftsmanship, teamwork, and technical expertise.
Position Description:
The PLC Technician supports mill operations by diagnosing, troubleshooting, and optimizing PLC-controlled electrical, instrumentation, and process systems, including mechanical power transmission, hydraulic, and pneumatic equipment.
Key Responsibilities:
  • Troubleshoot and repair electrical machinery and control systems throughout the plant, including sawmill, planer, boiler, and kiln operations.
  • Diagnose and resolve PLC, electrical, instrumentation, and process control issues.
  • Interpret PLC logic and make necessary modifications to restore or improve equipment performance.
  • Implement and support new control systems and upgrades to improve equipment efficiency and reliability.
  • Coordinate work activities with production and maintenance leadership to minimize downtime.
  • Maintain critical backups for all computer systems and PLC programs.
  • Set up and operate test equipment to evaluate system and component performance; document and analyze results.
  • Build, calibrate, maintain, troubleshoot, and repair electrical instruments and testing equipment.
  • Provide technical support before, during, and after construction or equipment installation projects.
  • Complete work orders and documentation accurately and in a timely manner.
  • Conduct inspections for quality control and assurance programs, reporting findings and recommendations.
  • Use precision measurement tools to calibrate and adjust equipment.
  • Maintain technical knowledge through training programs, workshops, and on-the-job learning.
  • Comply with all OSHA, health, safety, and environmental regulations.
Education/Qualifications:
  • High school diploma or equivalent required; Associate degree or technical certification is a plus.
  • 2+ years of industrial PLC experience.
  • Manufacturing experience required; wood products experience preferred.
  • Strong experience with Allen-Bradley ControlLogix and CompactLogix.
  • Knowledge of industrial electricity, motor controls, VFDs, and AC drives.
  • Strong troubleshooting and problem-solving skills.
  • Excellent communication skills with the ability to work in a team environment and collaborate effectively across production, maintenance, and engineering.
  • Ability to read electrical schematics and blueprints.
  • Willing and able to work any shift, holidays, weekends, and overtime as needed.
  • Ability to stand, walk, climb, bend, and work in industrial environments for extended periods.
  • Ability to lift up to 50 pounds, work at heights or in confined spaces, and safely use tools and equipment.
  • Ability to work in hot, dusty, noisy conditions and wear required PPE.
Salary Range: $36.07 - $40.31/per hour
Additional Information:

Hood Industries offers a competitive salary and an excellent benefits package including medical, employee assistance program, dental, vision, cancer, flexible spending account, life, 401k, and LTD, available first of the month following completion of one month of continuous full-time employment.
Hood Industries requires that applicants consent to a background check and a drug screen to continue in the selection process. All employment offers are contingent on meeting our background check standards and successful passing of required drug test. If hired, you will be required to provide documentation indicating your legal right to work in the U.S.
An Equal Opportunity Employer
Employment Type: Full-Time

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