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Remote Biotech Software Engineer Jobs in Virginia

VTG

Software Engineer

Chantilly, VA · Remote

Overview We are looking for a Software Engineer / Data Engineer to join our team. What will you do ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...

iDirect GOVERNMENT

Embedded Software Engineer

Herndon, VA · On-site +1

$70K - $123K/yr

These terminals provide internet and voice capabilities to remote and austere locations. This is a cross-functional engineering position, developing embedded software for our satellite products on a ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Booz Allen Hamilton, Inc.

$86K - $198K/yr

Remote Work: No Job Number: R0247938 Location: King George,VA,US Share job via: Share Software Engineer, Senior The Opportunity: As a full-stack developer, you can resolve a problem with a complete ...

PerformYard

Full Stack Software Engineer

Arlington, VA · On-site +1

This is a 100% Remote position - Now & Forever Requirements As a Full-Stack Software Engineer, you will innovate, design, and develop end-to-end product capabilities that stretch from our React-based ...

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All JobsBiotech Software Engineer JobsRemote Biotech Software Engineer JobsRemote Biotech Software Engineer Jobs in Virginia

Remote Biotech Software Engineer information

What is a remote biotech software engineer?

A Remote Biotech Software Engineer is a professional who develops, maintains, and optimizes software applications for biotechnology companies while working outside of a traditional office setting, often from home or another remote location. Their work typically involves creating tools for bioinformatics, data analysis, laboratory automation, or clinical research, supporting scientists and researchers in the biotech field. These engineers use programming languages and frameworks to solve complex biological problems, ensure data integrity, and streamline research processes. The role requires strong technical skills, knowledge of biotechnology concepts, and the ability to collaborate virtually with multidisciplinary teams.

What are the key skills and qualifications needed to thrive as a remote biotech software engineer?

To thrive as a Remote Biotech Software Engineer, you need strong programming skills (such as Python, Java, or C++), a solid understanding of biology or bioinformatics, and a relevant degree in computer science, bioinformatics, or a related field. Familiarity with bioinformatics tools, cloud computing platforms (like AWS or Azure), and version control systems (such as Git) is typically required, along with experience using specialized biotech databases and APIs. Excellent problem-solving, self-motivation, and effective remote communication are crucial soft skills for collaborating with cross-functional teams and managing independent workloads. These competencies ensure reliable, innovative software solutions that advance biotech research and development while maintaining productivity in a remote work environment.

How does a remote biotech software engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Biotech Software Engineers often work closely with scientists, data analysts, and product managers through virtual collaboration tools such as Slack, Zoom, and project management platforms. Effective communication and regular updates are essential to ensure alignment on project goals, especially when integrating software solutions with laboratory workflows or bioinformatics pipelines. Engineers may participate in daily stand-up meetings, code reviews, and sprint planning sessions to stay connected and address challenges promptly. Building strong relationships remotely requires proactive engagement and clear documentation to bridge the gap between technical and scientific teams.

What is the difference between Remote Biotech Software Engineer vs Remote Bioinformatics Software Developer?

AspectRemote Biotech Software EngineerRemote Bioinformatics Software Developer
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or Computer Science; coding skillsBachelor's or Master's in Bioinformatics, Computer Science, or related; programming experience
Work EnvironmentLaboratories, biotech companies, remote teamsResearch labs, biotech firms, remote collaboration
Industry UsageBiotech, pharmaceutical, healthcareGenomics, molecular biology, healthcare research

The main difference is that Remote Biotech Software Engineers focus on developing software for biotech applications, often working closely with lab teams, while Remote Bioinformatics Software Developers primarily analyze biological data and develop algorithms. Both roles require programming skills and are common in biotech industries, but their focus areas differ slightly.

What are the most commonly searched types of Biotech Software Engineer jobs in Virginia?

The most popular types of Biotech Software Engineer jobs in Virginia are:

What are popular job titles related to Remote Biotech Software Engineer jobs in Virginia?

For Remote Biotech Software Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Biotech Software Engineer jobs in Virginia look for?

The top searched job categories for Remote Biotech Software Engineer jobs in Virginia are:

What cities in Virginia are hiring for Remote Biotech Software Engineer jobs?

Cities in Virginia with the most Remote Biotech Software Engineer job openings:

Remote Biotech Software Engineer jobs near you

Software Engineer

Chantilly, VA • Remote

VTG
See more jobs at VTGexternal

Full-time

Re-posted 28 days ago

Job description

Overview

We are looking for a Software Engineer / Data Engineer to join our team. 


What will you do?

  • Design, build, and operate large-scale Big Data systems, including persistence, partitioning, indexing, and search capabilities.

  • Develop and maintain Java-based applications and APIs.

  • Architect and implement cloud-native solutions using AWS or comparable cloud platforms.

  • Design and optimize high-performance graph databases containing tens of billions of edges.

  • Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar technologies.

  • Build and maintain NoSQL and relational database solutions supporting complex Big Data applications.

  • Design partition and sort key strategies to ensure consistent system performance.

  • Develop aggregation operations to de-duplicate records across continuous data feeds.

  • Build and operate serverless data processing pipelines using AWS Lambda, Step Functions, and PySpark.

  • Design and operate large-scale geospatial indexing solutions using GeoMESA.

  • Develop and maintain Kubernetes-based containerized environments.

  • Implement DevSecOps and agile development practices in production environments.

  • Maintain configuration management using Git-based repositories.

  • Facilitate technical discussions across cross-functional teams to develop mission-aligned implementation strategies.

  • Ensure compliance with federal security, regulatory, and accreditation requirements.

  • Implement data security and governance controls including LDAP integration, encryption, and auditing.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
  • Demonstrated experience with Java development.
  • Experience designing and operating Big Data systems.
  • Experience developing and maintaining APIs.
  • Experience designing cloud-native architectures using AWS or similar cloud platforms.
  • Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
  • Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
  • Experience designing and operating NoSQL solutions.
  • Experience in data modeling, partition sharding, stream processing, and metrics gathering.
  • Experience developing high-performance data processing pipelines.
  • Experience with Kubernetes, Docker, and container orchestration.
  • Experience with Apache NiFi.
  • Experience implementing DevSecOps and agile methodologies.
  • Experience with data security controls including encryption and centralized access management (LDAP).
  • Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
  • Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
  • Experience working in Linux environments such as CentOS or Rocky Linux.
  • Experience with Python and related libraries.
  • Experience supporting large collaboration and development environments
  •  
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
  • Demonstrated experience with Java development.
  • Experience designing and operating Big Data systems.
  • Experience developing and maintaining APIs.
  • Experience designing cloud-native architectures using AWS or similar cloud platforms.
  • Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
  • Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
  • Experience designing and operating NoSQL solutions.
  • Experience in data modeling, partition sharding, stream processing, and metrics gathering.
  • Experience developing high-performance data processing pipelines.
  • Experience with Kubernetes, Docker, and container orchestration.
  • Experience with Apache NiFi.
  • Experience implementing DevSecOps and agile methodologies.
  • Experience with data security controls including encryption and centralized access management (LDAP).
  • Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
  • Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
  • Experience working in Linux environments such as CentOS or Rocky Linux.
  • Experience with Python and related libraries.
  • Experience supporting large collaboration and development environments
  •  
Education:UNAVAILABLEEmployment Type: FULL_TIME

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