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Machine Learning Engineer Biotech Jobs in Batavia, NY

Oetiker

Process & Product Engineer

Batavia, NY

Responsible for released machines, tools, and processes * Provide process documentation (work ... Comprehensive Training Program and access to Online Learning All your information will be kept ...

Oetiker

Process & Product Engineer

Batavia, NY · On-site

$75K - $95K/yr

Responsible for released machines, tools, and processes * Provide process documentation (work ... Comprehensive Training Program and access to Online Learning All your information will be kept ...

Optimal Inc.

Controls Engineer

Tonawanda, NY · On-site

$90K - $110K/yr

This Controls Engineer position supports a machine-intensive, high-volume production environment ... and learning emerging technologies. Employees will receive training on the new AMR platforms and ...

Optimal Inc.

Controls Engineer

Tonawanda, NY · On-site

$90K - $110K/yr

This Controls Engineer position supports a machine-intensive, high-volume production environment ... and learning emerging technologies. Employees will receive training on the new AMR platforms and ...

Fermilab

High Level RF Engineer

Batavia, NY

$88K - $116K/yr

... learning of particle accelerator systems. What your day-to-day as a High-Level RF Engineer at ... The position is normally scheduled for a daytime shift, though occasional off-shift machine studies ...

Keybank

Quant Analytics Mgr.

Amherst, NY · On-site

... machine-learning models for specific business needs using statistics, advanced mathematical ... Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering ...

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Showing results 21-40

All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Batavia, NY

Machine Learning Engineer Biotech information

See Batavia, NY salary details

$30K

$122.4K

$184K

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

As of Aug 8, 2026, the average yearly pay for machine learning engineer biotech in Batavia, NY is $122,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $147,400.00 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 cities near Batavia, NY are hiring for Machine Learning Engineer Biotech jobs? Cities near Batavia, NY with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you
Infographic showing various Machine Learning Engineer Biotech job openings in Batavia, NY 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 $122,438 per year, or $58.9 per hour.

Process & Product Engineer

Oetiker

Batavia, NY

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

Company Description

Oetiker provides customers with the peace of mind
that their mission-critical components are reliably
connected. We are a global leader in high-end
connecting solutions for the vehicle industry and for
high-value applications in industrial segments. Our
expertise in high-quality clamps, rings, straps and
quick-connectors ranges from powertrain and
drivetrain applications to medical applications. We
offer engineering, prototyping and testing support to
quickly create comprehensive solutions for
overcoming clamping and connecting challenges.
With 1800+ employees in more than 30 countries
and over 75 years of experience, we are the trusted,
global, long-term partner for the world’s leading
OEMs.

Job Description

Salary Range: $75,000 - $95,000

Position Summary

Support the evaluation, validation, and documentation of new and existing processes. Will also be responsible for providing support to the CNC department by programming, set-up, and troubleshooting.    

Essential Functions 

  • Responsible for released machines, tools, and processes
  • Provide process documentation (work instructions, box counts, operator training documents, etc.)
  • Lead cross-functional teams to develop PFMEA, Control Plan, and Process Flow Diagrams
  • Perform competitive analysis to identify opportunities and potential changes in production methods
  • Drive continuous improvement of existing processes to reduce waste
Qualifications

Knowledge, Skills, Abilities

  • Must be able to work in a team setting
  • Experience with automated machinery
  • Analytical, able to solve complex technical problems
  • Able to read and interpret mechanical drawings
  • Experience with Solidworks and/or equivalent 3d modeling software
  • PFMEA, PFD, and control plan experience
  • CNC programming utilizing CAD/CAM software; preferably ESPRIT

Education / Experience

  • Bachelor’s degree in Engineering/Engineering Technology or equivalent experience.
  • 3-5 years’ manufacturing experience in a CNC setting

Additional Information

What We Offer:

  • Competitive compensation packages
  • Paid Time Off (starts at 17 days a year)
  • Medical, Dental, Vision
  • Generous 401k match
  • Education tuition reimbursement program
  • Opportunities for Advancement
  • Comprehensive Training Program and access to Online Learning        

All your information will be kept confidential according to EEO guidelines.