ZipRecruiter

Log In

1

Machine Learning Engineer Biotech Jobs in Batavia, NY

AVARINT LLC

DIADS Applied Scientist

Buffalo, NY · On-site

$80K - $109K/yr

Identify, test, and evaluate various models and algorithms Implement statistical, machine learning ... Physics, Applied Mathematics, or Engineering (Electrical, Mechanical, or Aerospace subfields ...

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 ...

Avarint LLC

DIADS Applied Scientist

Buffalo, NY · On-site

$80K - $109K/yr

... machine learning, or other mathematical methodologies to solve satisfy customers' specific needs ... Physics, Applied Mathematics, or Engineering (Electrical, Mechanical, or Aerospace subfields ...

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 ...

University at Buffalo

Director, Research IT

Buffalo, NY · On-site

... machine learning, and ensure compliance with frameworks including NIST and CMMC. You will serve as ... Master's degree in computer science or PhD, information systems, engineering, or a related field ...

next page

Showing results 1-20

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 Jul 16, 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 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 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
DIADS Applied Scientist

DIADS Applied Scientist

AVARINT LLC

Buffalo, NY • On-site

$80K - $109K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Description

Position Description:

Avarint is seeking an applied physicist, mathematician, or engineer (preferably electrical, mechanical, or aerospace) in the domains of radars, missiles, command and control (C2), and hypersonics. 

Primary Responsibilities: 

Identify, test, and evaluate various models and algorithms

Implement statistical, machine learning, or other mathematical methodologies to solve satisfy customers' specific needs

Research, develop, and implement models and algorithms to be released as new product features

Work alongside a team of engineers to develop and deploy production-level code


Why Avarint:

401(k) - No waiting period. 100% vested on date of hire.

3% company contribution in the first year of employment, and company contribution increases over time. Employee is not required to contribute to the plan to receive Avarint's contribution.

Health Insurance - No waiting period - competitive costs.

Dental and vision insurance after 6 months. Employer-paid benefit for employees and dependents.

Life insurance after 6 months. Employer-paid benefit for the employee.

Generous paid time off, unlimited sick time, and 9 paid annual holidays.

Free beverages and stocked beverage refrigerators for employees

Avarint maintains an Affirmative Action Plan to establish fair access to employment opportunities and to create a work community that is an accurate reflection of the qualified workforce.


Salary Range:

$80,000 - $109,999 per year


Avarint is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.  

Requirements

Required Qualifications: 

Bachelor's degree in: Physics, Applied Mathematics, or Engineering (Electrical, Mechanical, or Aerospace subfields preferred); other quantitative disciplines considered with commensurate academic/industry experience

Domain knowledge in Radio Frequency (RF), Electro-Optical/Infrared (EO/IR) system modeling experience a plus

Experience in Mathematical Modeling/Data Analysis: Computational Physics, Electrical/Aerospace Engineering, AI/ML

Proficient research skills: publications and/or working papers; capable of researching topics beyond current background or experience

Unix/Linux familiarity and experience

Strong understanding of statistical methods 

Strong analytical and problem-solving skills with a focus on performance optimization

Strong understanding of software development methodologies and version control systems

Proven ability to reason logically and provide rational solutions with a focus on improving efficiency and quality

Effective communication skills, capable of conveying complex ideas clearly to diverse stakeholders

Experience with cross-functional teams

Meets eligibility requirements for a government security clearance


Preferred Qualifications: 

Master's degree in Physics, Applied Mathematics, or other STEM-related discipline

Domain expertise in radars, missiles, C2, and/or hypersonics

Active government security clearance

Apply