1

Bioinformatics Data Engineer Jobs in Virginia (NOW HIRING)

... programming that aims to promote responsible science and technology development and prevent the ... Securing genomic databases, patient data, and bioinformatics pipelines from exfiltration or ...

... programming that aims to promote responsible science and technology development and prevent the ... Protecting sensitive genomic sequencing data and bioinformatics pipelines. * Secure collaboration ...

Ensure GxP compliance in data science programming for clinical trials. Manage budgets, vendor ... D.in Bioinformatics or related computational sciences. Deep expertise in statistical methods and ...

... software engineering, bioinformatics support, and professional development. Please Note: This ... Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity ...

Work independently on complex ontology structures and data modeling challenges * Drive ... programming for ontology management and integration. * 3-5 years of experience leading both ...

next page

Showing results 1-20

Bioinformatics Data Engineer information

How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a Bioinformatics Data Engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Virginia? For Bioinformatics Data Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Bioinformatics Data Engineer jobs? Cities in Virginia with the most Bioinformatics Data Engineer job openings:
Biosecurity Expertise

Other

Posted 15 days ago


Job description

Narrative Overview CRDF Global is looking to deepen our bench of experts in support of our Biosecurity programming that aims to promote responsible science and technology development and prevent the deployment of biological weapons (BW) or the acquisition of BW-applicable materials and data. The program also seeks to protect U.S. biotechnologies and bio-pharmaceutical supply chains by denying adversaries access to genomic data, biotechnology intellectual property, and manufacturing capacity

This portfolio supports partner countries in strengthening laboratory biosafety and biosecurity, building research oversight capacity, and promoting adoption of U.S. standards and norms for laboratory security, cybersecurity, and data protection. Regions include Africa, EAP, EUR, NEA, SCA, and WHA, with a focus on countries with growing biotech sectors, genomic sequencing centers, and high containment laboratories (HCLs)

Core Technical Domains: Experts are sought in the following areas (including but not limited to): Pathogen Security & Biosafety Secure handling of high-consequence pathogens (), laboratory containment (BSL-2/3/4), development of laboratory safety and security management systems. Strengthening operations & maintenance practices for HCLs and biorepositories to prevent accidental or deliberate release Data (Genomic Data) Security & Biotechnology Security Protecting sensitive genomic sequencing data and bioinformatics pipelines. Secure collaboration practices for genomic and synthetic biology research, including data use/transfer agreements (DTAs/DUAs), tech transfer agreements, and IP protection agreements Bioinformatics and Emerging Biotechnologies Synthetic biology, gene editing (e.g., CRISPR), computational pipelines with dual-use potential

Supply Chain Security for Biological Materials Risk mitigation for sourcing and distribution of biological reagents, specialized equipment, and consumables. Partnering with manufacturers and distributors to harden supply chains/ identify chokepoints. Cyberbiosecurity Applying cryptographic and access control solutions for sensitive data.

Securing genomic databases, patient data, and bioinformatics pipelines from exfiltration or manipulation. Cross-Cutting Security and Governance Domains: Experts should also demonstrate experience in at least one of the exampled categories or related activities: Best Practices and Regulatory Compliance: Train scientific communities, such as those in biotech sectors, working with toxins, conducting synthetic biology, and storing/ housing human genomic data on security best practices. Risk Assessment & Gap Analysis: Institutional and national-level analysis of biosafety/biosecurity vulnerabilities.

Personnel Reliability & Insider Threat Mitigation: Programs for staff vetting, monitoring, and training. Research Ethics & Oversight: Development and training of institutional biosafety committees (IBCs) and DURC review (research oversight) systems. Operations and Maintenance (O&M): Strengthen O&M practices for HCLs and biorepositories to mitigate risks of unintentional pathogen release due to failing infrastructure and equipment.

U.S. Policy and Best Practices: Understanding of U.S. policy and best practices for biosafety/biosecurity, cybersecurity, research oversight, gain-of-function research, nucleic acid synthesis screening, etc

Public-Private Engagement: Facilitating industry dialogues to promote secure practices and U.S.-aligned standards in biotechnology sectors. Open-Source Research: Ability to draft/produce, compile, and summarize open-source research reports for incorporation into project planning or project implementation. Counter China/ U.S

Adversaries Expertise: Working knowledge of threats posed by U.S. adversaries (state actors) to undermine/ threaten U.S. national and economic security

Understanding of the International Landscape for Biotechnology: Demonstrate understanding of foreign biotechnology sectors, including the key players and contacts, maturity of given sectors, and strategies to encourage engagement on programming, to include but not limited to private biotech companies, R&D start-ups, vaccine/medical countermeasure developers and producers Illustrative Activities Experts on the Biosecurity bench may be asked to: Engage industry and government stakeholders in supply chain security dialogues and policy development. Support proposal development with subject-matter expertise to strengthen competitive bids. Conduct biosafety and biosecurity gap analyses of laboratories, repositories, and biotech firms.

Deliver training programs for laboratory staff, administrators, IT managers, and policymakers. Support development of SOPs, curricula, and toolkits for safe and secure research practices. Lead tabletop exercises and simulations to stress-test partner capacity for outbreak response or insider threat events.

Provide cybersecurity training and incident response planning tailored to biological facilities. Assist partners with institutionalizing research oversight mechanisms and integrating them into national regulatory frameworks.