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Remote Biomedical Machine Learning Jobs in Virginia

Cresta

Staff Machine Learning Engineer

Richmond, VA · On-site +1

About The Role Machine Learning Engineers at Cresta work across several high-impact AI initiatives ... Remote work setup budget to help you create a productive home office Monthly wellness and ...

Cresta

Senior Machine Learning Engineer

Richmond, VA · On-site +1

$121K - $159K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Remote work setup budget to help you create a productive home office Monthly wellness and ...

Doghouse Recruitment

Machine Learning Engineer

Richmond, VA · Remote

$160K - $230K/yr

Remote from anywhere in the U.S. Salary: Up to $230k base + bonus, depending on seniority Join a fast-moving AI infrastructure team working on the cutting edge of large-scale ML workloads. This role ...

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Remote Biomedical Machine Learning information

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Machine Learning Specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Virginia? For Remote Biomedical Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Virginia look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote Biomedical Machine Learning jobs? Cities in Virginia with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you

Software Engineer / AI & Machine Learning Engineer

Staffed4U

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Software Engineer / AI & Machine Learning Engineer
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: Full-Time

Position Overview

The selected candidate will support the design, development, integration, and maintenance of software systems and cloud-based applications in a secure technical environment. This role involves applying software engineering principles, systems analysis, and emerging technologies including artificial intelligence and machine learning to support mission and operational requirements.

Minimum Qualifications
  • Bachelor’s degree and a minimum of three (3) years of relevant experience; OR
  • Seven (7) years of related professional experience in lieu of a degree
  • Minimum of three (3) years of software engineering, systems engineering, or AI/machine learning experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work in a collaborative and fast-paced technical environment
Duties and Responsibilities
  • Analyze software and system requirements to support development and operational needs
  • Design, develop, test, and maintain software applications and system solutions
  • Evaluate and improve software performance, system functionality, and operational efficiency
  • Develop system specifications, technical documentation, and implementation plans
  • Coordinate with technical teams to ensure proper integration and deployment of software solutions
  • Modify existing applications to correct defects, improve performance, or adapt to new technologies
  • Analyze interfaces between hardware and software systems and develop performance requirements
  • Support installation, testing, and maintenance of software systems and cloud-based applications
  • Develop and maintain applications within cloud environments, including modernization of legacy systems
  • Participate in estimating software development schedules, resource requirements, and technical risks
  • Apply analytical and mathematical methods to software design and system performance evaluation
  • Support AI and machine learning initiatives, including data analysis, model development, and automation solutions
  • Provide technical guidance and collaborate with engineers, analysts, and developers on project activities
Required Knowledge, Skills, and Abilities
  • Knowledge of software engineering principles, programming, and systems analysis
  • Understanding of cloud computing concepts and application development environments
  • Ability to analyze user requirements and translate them into technical solutions
  • Experience with software testing, debugging, and performance optimization
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and as part of a multidisciplinary team
Preferred Technical Experience

Experience or familiarity with one or more of the following technologies or tools is desirable:

  • Programming languages and software development frameworks
  • Artificial intelligence and machine learning concepts and tools
  • Web application development technologies, including HTML and Apache Struts
  • Software testing and defect tracking tools, like Loadrunner
  • Source code editors and development environments
  • Cloud platforms and application hosting technologies
  • Enterprise servers and distributed computing environments
About the Organization

A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.

Benefits Summary

Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:

  • Flexible Time Off
    Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity.
  • Hybrid Work Environment
    Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs.
  • Retirement Savings Plan
    Retirement benefits may include participation in a 401(k) savings program with employer contributions.
  • Paid Parental Leave
    Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage
    Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs.
  • Professional Development and Continuing Education
    Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.