Bioinformatics Specialist
BeVera Solutions LLC
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Job summary
BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives.
BeVera’s CEO champions a people-first culture where every employee is valued. BeVera Solutions is seeking a highly experienced Bioinformatician – Scientific Computing & Genomics to
Qualifications
- Education or experience in bioinformatics, computational biology, genomics, or related field.
- Experience with genomic data analysis and bioinformatics methods.
- Proficiency in scientific scripting or statistical programming.
- Ability to work with large, complex datasets and document procedures.
Responsibilities
- Analyze next-generation sequencing and other high-throughput data.
- Develop and maintain reproducible bioinformatics workflows.
- Support HPC and cloud computing environments for pipelines.
- Collaborate with multidisciplinary teams and provide technical guidance.
- Document methods, workflows, and results for reports and publications.
Skills
Tools
Job description
Description
BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives. BeVera’s CEO champions a people-first culture where every employee is valued. The company supports this commitment by offering competitive compensation and meaningful, impactful work assignments.
Recognized as one of Atlanta’s Best Places to Work (2024 & 2025 & 2026) by the Atlanta Business Chronicle, BeVera fosters a culture of integrity, excellence, and collaboration.
NOTE: Position Contingent upon award of contract. This role is part of a pre-award candidate search for an upcoming federal government contract. Employment is contingent upon BeVera Solutions receiving the contract award, final Government approval, funding, and any applicable client or contract requirements.
BeVera Solutions is seeking a highly experienced Bioinformatician – Scientific Computing & Genomics to perform genomic data analysis and develop, execute, maintain, and troubleshoot reproducible bioinformatics workflows supporting CDC's Office of Advanced Molecular Detection (OAMD).
The position supports next-generation sequencing, microbial genomics, scientific scripting, workflow development, HPC and cloud computing, statistical analysis, and technical consultation for public-health laboratory and pathogen-analysis activities.
- Perform bioinformatics analysis of next-generation and other high-throughput sequencing data.
- Support genome sequencing, assembly, annotation, microbial genomics, metagenomics, transcriptomics, phylogenetics, and related analyses.
- Conduct statistical analyses and scientific data-quality reviews.
- Process and analyze complex genomic and other biological datasets.
- Develop, execute, modify, test, document, and maintain reproducible bioinformatics workflows.
- Develop and support workflows using Nextflow and related workflow-management technologies.
- Create scientific scripts and analytical tools using Python, R, Perl, Java, BioPerl, or similar languages.
- Optimize pipelines for computational efficiency, storage utilization, scalability, and reproducibility.
- Adapt bioinformatics workflows and algorithms to HPC and cloud-computing environments.
- Support implementation, configuration, testing, and validation of open-source, commercial, and custom bioinformatics software.
- Assist with containerized bioinformatics applications and scientific-computing environments.
- Maintain and update reference datasets, databases, software environments, and analytical resources.
- Troubleshoot workflow failures, software dependencies, data-format compatibility issues, analytical errors, and computational-resource problems.
- Participate in software testing, quality-control, validation, and user-acceptance activities.
- Document analytical methods, workflows, software configurations, results, and technical procedures.
- Contribute to technical reports, scientific presentations, manuscripts, methods documentation, and other program products as needed.
- Provide bioinformatics technical consultation and user support appropriate to level of experience.
- Assist scientists and technical users in understanding bioinformatics tools, analyses, workflows, and results.
- Collaborate with bioinformaticians, scientists, system administrators, DevOps personnel, infrastructure teams, data-management personnel, and other technical staff.
- Participate in technical training, knowledge-sharing, and continuous professional development.
- Senior-level incumbents may mentor less-experienced bioinformatics personnel and lead complex analytical assignments.
- Demonstrated education, training, or professional experience related to bioinformatics, computational biology, genomics, biological sciences, computer science, data science, or a closely related field.
- Knowledge of bioinformatics methods and genomic or sequencing-data analysis.
- Experience or demonstrated proficiency with scientific scripting or statistical programming.
- Ability to work with large and complex scientific datasets.
- Ability to document analytical methods and technical procedures.
- Strong analytical, problem-solving, and communication skills.
- Ability to work collaboratively within multidisciplinary scientific and technical teams.
Experience supporting public-health, infectious-disease, laboratory-science, HHS, CDC, or other federal scientific programs is also preferred.
- Python
- R
- Perl
- Java/BioPerl
- Linux
- High-performance computing (HPC)
- Cloud-computing environments
- Nextflow
- nf-core/ph-core or similar workflow standards
- Bioinformatics workflow optimization
- Containers/Singularity or similar technologies
- Scientific software testing and validation
- Next-generation sequencing (NGS) and high-throughput sequencing
- Genome assembly
- Functional annotation
- Microbial genomics
- Metagenomics
- Phylogenetic analysis
- Statistical analysis
- Epidemiologic or public-health data
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