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Machine Learning Biomedical Engineer Jobs in Davenport, IA

Data Scientist

Rock Island, IL · On-site

$120K - $160K/yr

Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation. * Practical understanding in machine learning deployment with a focus on optimization ...

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

CNC Programmer

Bettendorf, IA · On-site

$28 - $35/hr

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

CNC Programmer

Bettendorf, IA · On-site

$28 - $35/hr

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

CNC Programmer

Bettendorf, IA · On-site

$28 - $35/hr

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

Showing results 41-60

Machine Learning Biomedical Engineer information

See Davenport, IA salary details

$29.9K

$122.2K

$183.6K

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

As of Sep 5, 2026, the average yearly pay for machine learning biomedical engineer in Davenport, IA is $122,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $147,000.00 per year, depending on experience, location, and employer.

What does a machine learning biomedical engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

How does a machine learning biomedical engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

What are the key skills and qualifications needed to thrive as a machine learning biomedical engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What job categories do people searching Machine Learning Biomedical Engineer jobs in Davenport, IA look for?

The top searched job categories for Machine Learning Biomedical Engineer jobs in Davenport, IA are:

Data Scientist

SAIC

Rock Island, IL • On-site

$120K - $160K/yr

Full-time

Posted 11 days ago


SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services


Job description

Job Description
Description
SAIC is seeking a Data Scientist to join our team at Rock Island, Illinois to support our Advanced Analytics Team to utilize the Army Vantage Data Analytics System to build/implement models, use/create algorithms and create/run simulations.
Job Description:
  • Conduct analysis of mission data applicable in multiple domains.
  • Formulate and interpret problems in mathematical or computational terms.
  • Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer.
  • Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets).
  • Research analysis products and tools for possible integration to enhance Analytics and AI offerings.
  • Create new tools and applications using a variety of software languages, frameworks, and libraries.
  • Improve, support, and test a MLOps framework to support other team member's analysis work.
  • Refine and enhance existing applications to better meet the customer's mission.

Qualifications
Required Education:
  • Bachelor's degree and five (5) years of relevant experience; additional four (4) years of experience accepted in lieu of degree.
Qualifications:
  • Relational database expertise in database storage, SQL queries, and primary/foreign keys.
  • Demonstrated proficiency in programming languages such as Python, typescript, Java, and/or JavaScript.
  • Demonstrated on-the-job knowledge of providing data analytics solutions.
  • Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation.
  • Practical understanding in machine learning deployment with a focus on optimization, including theoretical and numerical methods for refinement of models.
  • Experience with Palantir Foundry/Vantage preferred but not required.
Required Clearance:
  • Must be able to obtain a full Secret Clearance; Interim Secret required prior to start, SAIC will help to obtain.
  • Must be a Current U.S. Citizen.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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