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Remote Google Biomedical Engineering Jobs in Maryland

Lexical Intelligence LLC

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.50 - $79.50/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Engineering, or related fields * Hands-on experience with cloud platforms (Google Cloud, AWS, and ...

Lexical Intelligence LLC

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Engineering, or related fields * Demonstrated experience with cloud platforms including Google ...

Black Canyon Consulting

Platform DevEx Engineer

Bethesda, MD · On-site +1

$56.50 - $77.25/hr

This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote. NCBI is ... NCBI advances science and public health by providing free access to biomedical literature and ...

Black Canyon Consulting

Platform Ops Lead

Bethesda, MD · On-site +1

$56.50 - $77.25/hr

The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI ... NCBI offers flexible working hours, remote options, on- and off-site training courses, and ...

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Remote Google Biomedical Engineering information

What is a remote Google biomedical engineer?

A Remote Google Biomedical Engineering job involves working for Google in the field of biomedical engineering from a remote location, rather than being physically present at an office. Professionals in this role typically focus on developing innovative healthcare technologies, analyzing biological data, and collaborating with cross-functional teams to solve medical challenges using engineering principles. As the position is remote, employees use digital tools to communicate, manage projects, and contribute to research or product development from anywhere with internet access. These roles may require a strong background in biomedical engineering, computer science, and experience with medical devices or data analysis.

What are the key skills and qualifications needed to thrive as a remote Google biomedical engineer?

To thrive as a Remote Google Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with programming languages (such as Python or MATLAB), cloud computing platforms (like Google Cloud), and experience with medical device standards or software are often required. Excellent communication, self-motivation, and collaboration skills help you effectively coordinate with remote teams and stakeholders. These skills ensure successful development of innovative healthcare solutions while maintaining high standards and seamless teamwork in a remote environment.

What are some common challenges faced by remote biomedical engineers working on Google projects, and how can they overcome them?

Remote biomedical engineers at Google often collaborate with interdisciplinary teams across different time zones, which can make communication and project alignment challenging. To overcome these hurdles, it’s important to establish clear channels for regular updates, leverage collaborative tools like Google Workspace, and proactively schedule meetings to accommodate diverse schedules. Staying organized and maintaining transparent documentation helps ensure that everyone stays on the same page, enhancing productivity and reducing miscommunication.

What is the difference between Remote Google Biomedical Engineering vs Remote Medical Device Software Engineer?

AspectRemote Google Biomedical EngineeringRemote Medical Device Software Engineer
Required CredentialsBiomedical engineering degree, certifications in medical device regulationsSoftware engineering degree, certifications in medical device software standards
Work EnvironmentTech companies, healthcare institutions, research labsMedical device companies, healthcare tech firms, regulatory agencies
Industry UsageDevelops medical technologies, diagnostics, imaging systemsDesigns and tests software for medical devices, ensuring compliance

Remote Google Biomedical Engineering focuses on developing medical technologies and diagnostics within tech and healthcare environments, requiring biomedical credentials. In contrast, Remote Medical Device Software Engineers specialize in creating and validating software for medical devices, emphasizing software skills and regulatory standards. Both roles are essential in advancing healthcare technology remotely, but they differ in focus and expertise.

What are the most commonly searched types of Google Biomedical Engineering jobs in Maryland?

The most popular types of Google Biomedical Engineering jobs in Maryland are:

What are popular job titles related to Remote Google Biomedical Engineering jobs in Maryland?

For Remote Google Biomedical Engineering jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Google Biomedical Engineering jobs in Maryland look for?

The top searched job categories for Remote Google Biomedical Engineering jobs in Maryland are:

What cities in Maryland are hiring for Remote Google Biomedical Engineering jobs?

Cities in Maryland with the most Remote Google Biomedical Engineering job openings:

Remote Google Biomedical Engineering jobs near you

Platform Engineer (DataOps)

Black Canyon Consulting

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Black Canyon Consulting (BCC)  is searching for Platform Engineer (DataOps) 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/remote at the NCBI in Bethesda, MD and/or remote.

NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. 

This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization

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, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Duties & Responsibilities

The DataOps Platforms team:

  • Develops and continuously improves DataOps platform.
  • Develops and maintains common tools and libraries.
  • Evaluates new technologies and practices.
  • Helps NCBI developers with adoption of platform.
  • Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
  • Embraces agile development and continuous improvement
  • Encourages growth mindset and offers leadership opportunities at any level

Required Skills:

  • Strong coding skills in at least one programing language are required (Python, C++, ...)
  • Kubernetes, containerization
  • Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
  • Apache Kafka, Google Cloud Pub/Sub or equivalent
  • Apache AirFlow or equivalent
  • Experience with data processing applications and modern cloud-based data processing infrastructure
  • Linux command-line skills

Bonus Skills:

  • Google Anthos
  • Docker
  • GitOps tools: ArgoCD or equivalent
  • Infrastructure as code tools: Terraform or equivalent
  • GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management
  • Modern observability and logging tools: Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor),
  • DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty, Splunk, or equivalent 
  • Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent
  • Data transfer tools: AWS DataSync, Aspera, MinIO, CloudSoda or equivalent
  • Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
  • Experience with best-practice design patterns in coding and architecture
  • Experience working in Agile environment
Educational Requirements
  • B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.
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. The targeted range for this position is $115,000 - $150,000.

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

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