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Machine Learning Biomedical Engineer Jobs in Park, VA

General Atomics

Cleared DevOps Engineer

Charlottesville, VA · On-site

$52.25 - $71.75/hr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... Engineer to manage the configuration, deployment and maintenance of one or multiple environments.

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Park, VA

Machine Learning Biomedical Engineer information

See Park, VA salary details

$31.2K

$127.7K

$191.8K

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

As of Sep 11, 2026, the average yearly pay for machine learning biomedical engineer in Park, VA is $127,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,700.00 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 Park, VA look for?

The top searched job categories for Machine Learning Biomedical Engineer jobs in Park, VA are:

What cities near Park, VA are hiring for Machine Learning Biomedical Engineer jobs?

Cities near Park, VA with the most Machine Learning Biomedical Engineer job openings:

Machine Learning Biomedical Engineer jobs near you
Infographic showing various Machine Learning Biomedical Engineer job openings in Park, VA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $127,665 per year, or $61.4 per hour.

Customer Success Project Manager

Charlottesville, VA • On-site

TwinThread
Software Development • 1 - 10 employees
Learn more about TwinThreadexternal

Other

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Manage all customer success projects, including maintaining project schedules, backlog management, and customer coordination.

  • Coordinate internal team communications, develop templates and best practices, and handle risk mitigation and status updates.

  • Act as the primary point of contact for customers and customer success consultants to ensure project delivery on time and on budget.

Job description

Customer Success Project Manager

Location: Halifax, Nova Scotia preferred; flexible for the right candidate.

About TwinThread

We are a team of industrial software technology veterans solving really hard data science and machine learning challenges. Our clients are Fortune 500 companies you have definitely heard of. We're VC backed, growing like crazy, and searching for a great Customer Success Project Manager to help our customers achieve their goals while helping TwinThread profitably grow.

The 30% efficiency rate gap between best-in-class and average factories represents a huge growth opportunity. TwinThread’s platform enables industrial OEMs, manufacturers, and service providers to drastically improve their efficiency by taking action on insights enabled by machine learning.

What does that mean? Consider a Fortune 500 company with 1,000 mechanically identical assembly lines, some performing really well, others not as much. Performance variations might be explained by any number of factors. Often, these factors can be adjusted which leads to massive efficiency gains, but it’s difficult to pinpoint exactly what changes should be made and what those change effects will be.

Enter TwinThread. Our platform enables users to first, through automated ML (rapidly combing through terabytes of data), identify opportunities for improvement, analyze change impact, and implement them, all through a visual programming IDE saving a typical customer millions of dollars annually.

Are you excited to help our customers achieve game-changing results in record time via solid project management? If you're a self‑motivated individual and are looking for a fun, rapidly growing tech start‑up, this is the job for you.

Job Description

We are looking for a Customer Success Project Manager to coordinate all TwinThread implementations ensuring they deliver on time and on budget while meeting customer expectations. We are looking for a proven implementation project manager. The ideal candidate will take the lead in optimizing our customer success implementation structure to ensure rapidly delivered customer results; with repeatable, ever more efficient outcomes. Day‑to‑day, you will project manage each of our customer projects, including backlog management, overall schedule management, customer communications, and internal team coordination. Your key points of contact will be our customer success consultants and our customers. You are adaptable, organized, data‑driven, and a clear communicator of both good and bad news. You are the ultimate team player who understands the mission is both customer and company success. You are passionate about applying your project management skills in an adaptive start‑up environment.

Daily Responsibilities
  • Manage all customer success projects including:
    • Maintain project schedules, both initial and ongoing
    • Work Breakdown
    • Backlog Management
    • Customer Coordination
    • Internal team communications
    • Risk Mitigation
    • Status Updates
    • Escalations
  • Develop templates and best practices to ensure the best, most rapid results
Required Experience
  • 10+ years of high tech project management experience
  • PMP certified
  • Bachelor’s Degree or higher
  • Strong analytical skills
Ideal Experience
  • Experience with industrial automation or machine learning solutions
  • Experience project managing SAAS projects
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