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Remote Bioinformatics Machine Learning Jobs in Virginia

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps ...

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 Bioinformatics Machine Learning information

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

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

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

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

Computational Biologist (SRA Bioinformatics)

BCC

Fairfax, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Overview

Black Canyon Consulting (BCC) seeks a Computational Biologist (SRA Bioinformatics) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

NCBI is part of the National Library of Medicine (NLM) at NIH. NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health – at NCBI you can literally help to accelerate cures for diseases! NCBI’s wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Job Responsibilities

  • Lead team through a complete product lifecycle of discovery to delivery
  • Lead data analysis and user research efforts and utilize findings in the development of product requirements and to inform objective decision making
  • Develop product vision, goals, and strategic roadmaps and lead the execution
  • Prioritize product team actions and provide clear guidance to create incremental value in an Agile environment
  • Develop partnerships and collaborations with internal and external stakeholders to improve data usability and impact

Required Skills/Experience

  • Doctorate level degree in bioinformatics, molecular biology, computational biology, data science, computer science, information technology, or a similar field
  • Conceptual knowledge of genomics, molecular biology, and computational biology
  • Practical knowledge of bioinformatics, bioinformatic tools, and the application of genomic sequencing data to biomedical and other scientific use cases
  • Experience leading teams, setting team goals, prioritizing work based on available information and stakeholder needs, and utilizing metrics to measure success
  • Experience providing an effective work environment
  • The ability to troubleshoot technical and staffing roadblocks and mitigate risks
  • Experience in diplomatically resolving conflicting priorities from multiple user groups, technical stakeholders
  • The ability to troubleshoot technical and staffing roadblocks and mitigating risks
  • Excellent communication skills, including verbal, written, and presentation skills
  • Strong interpersonal engagement, networking, and collaboration skills

Desired Skills/Experience

  • Experience working with SRA or similar sequence databases and applying next generation sequencing data to biological problems
  • Experience serving in the capacity of post-doctorate Investigator, Product Owner or Product Manager experience
  • Familiarity and commitment to FAIR data practices
  • Familiarity or experience working in an Agile environment
  • Familiarity with data storage and/or processing in commercial cloud platforms like AWS or GCP
  • Working familiarity with one or more scripting languages
  • Working familiarity with large SQL databases
  • Familiarity with CI/CD pipelines, unit tests, integration, and regression testing

Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location.

If you enjoy being a part of a high-performing, professional service and technology-focused organization, please apply today!

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