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Remote Biomedical Machine Learning Jobs in Washington

Lexical Intelligence LLC

Product Owner

Bethesda, MD · On-site +1

Familiarity with MLOps (Machine Learning Operations) practices and tools. * Experience defining ... Bethesda, MD - Hybrid (with remote work options as approved by the COR). Equal Employment ...

MNF Global

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... flexibility while providing access to sophisticated, high-profile work and a collaborative team ...

MNF Global

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... flexibility while providing access to sophisticated, high-profile work and a collaborative team ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

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

Product Owner

Lexical Intelligence LLC

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 14 hours ago

Job description

Technical Product Owner


Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.


We are looking for a Technical Product Owner to drive the roadmap and strategy for our AI/ML-powered NLP and analytics software. This role requires deep experience in software development lifecycle management, agile methodologies, and biomedical data analytics, with a focus on product ownership for Artificial Intelligence capabilities. The Product Owner will have a firm understanding of portfolio analysis tools, user experience design, and stakeholder engagement. The Product Owner shall be able to work well within a team of scientists, software engineers, data scientists, and technical writers. The selected applicant will be subject to a pre-employment background and reference check.


Required Qualifications

  • 5+ years of product management experience in software development
  • Bachelor's degree or other degree(s) in Computer Science, Information Systems, Bioinformatics or related fields
  • Experience with agile development methodologies (Scrum, Kanban)
  • Demonstrated ability to translate user needs into technical requirements
  • Strong communication skills and ability to work with diverse stakeholders
  • Experience with AI/ML integration into software applications and managing the product lifecycle of machine learning models.
  • Demonstrated systems thinking experience, including evaluating end-to-end workflows, cross-functional dependencies, and downstream impacts of product decisions


Preferred Qualifications:

  • Experience working with federal agencies, particularly NIH
  • Experience with portfolio analysis tools and biomedical data systems
  • Knowledge of bibliometrics, graph theory, or natural language processing
  • Experience with tools such as Shortcut, Jira, or Confluence for tracking user stories
  • Familiarity with UI/UX design principles and tools such as Miro
  • Experience with cloud-based infrastructure (AWS GovCloud, STRIDES)
  • Knowledge of biomedical research data sources and systems (IMPACII, PubMed, etc.)
  • Experience with AI/ML integration into software applications
  • Familiarity with MLOps (Machine Learning Operations) practices and tools.
  • Experience defining user stories and technical requirements specifically for AI features (e.g., model performance metrics, data requirements, and feedback loops).


Responsibilities include ensuring compliance with organizational security and privacy policies, protecting sensitive data and systems, reporting security incidents, and participating in required cybersecurity training. The role may also involve implementing best practices related to access control, data handling, and risk mitigation within the scope of assigned duties.

All candidates will be required to undergo a background check and must be authorized to work in the United States.


Salary and benefits: We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.


Location: Bethesda, MD - Hybrid (with remote work options as approved by the COR).


Equal Employment Opportunity Policy: Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.


Lexical Intelligence, LLC | 2001 Veirs Mill Rd #546 | Rockville, MD 20851

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