Bioinformatics Specialist

BeVera Solutions

$80K — $95K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Education or experience in bioinformatics, computational biology, or a related field.
  • Proficient in bioinformatics methods and sequencing data analysis.
  • Strong programming skills in Python, R, Perl, or Java.
  • Experience with high-performance computing (HPC) and cloud environments.
  • Ability to manage complex datasets and document analytical procedures.
  • Excellent problem-solving and communication abilities.
  • Experience collaborating in multidisciplinary teams.

Responsibilities

  • Perform bioinformatics analysis for next-generation and high-throughput sequencing data.
  • Support genome sequencing, assembly, and annotation tasks.
  • Conduct statistical analyses and data-quality reviews.
  • Develop and maintain reproducible bioinformatics workflows.
  • Optimize workflows using Nextflow and similar technologies.
  • Adapt workflows for HPC and cloud-computing applications.
  • Provide technical consultation and support for bioinformatics tools.

Benefits

  • Opportunity to work with the CDC and contribute to public health initiatives.
  • Access to state-of-the-art technologies and methodologies in bioinformatics.
  • Potential for professional development and continued learning opportunities.
  • Collaborative work environment with multidisciplinary teams.
  • Possibility of mentoring and leading projects for experienced candidates.
Full Job Description
Job Type

Full-time

Description

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.

Job Description Essential Duties

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.

Bioinformatics & Genomic Analysis
  • 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.

Workflow Development & Scientific Programming
  • 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.

HPC, Cloud & Software Environment Support
  • 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.

Quality Assurance, Validation & Documentation
  • 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.

Scientific Consultation & User Support
  • 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.

Collaboration, Training & Leadership
  • 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.


Requirements

Required Qualifications
  • 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.

Preferred Qualifications

Experience supporting public-health, infectious-disease, laboratory-science, HHS, CDC, or other federal scientific programs is also preferred.

Programming & Scientific Computing
  • Python
  • R
  • Perl
  • Java/BioPerl
  • Linux
  • High-performance computing (HPC)
  • Cloud-computing environments

Bioinformatics Workflows & Development
  • Nextflow
  • nf-core/ph-core or similar workflow standards
  • Bioinformatics workflow optimization
  • Containers/Singularity or similar technologies
  • Scientific software testing and validation

Genomics & Sequence Analysis
  • Next-generation sequencing (NGS) and high-throughput sequencing
  • Genome assembly
  • Functional annotation
  • Microbial genomics
  • Metagenomics
  • Phylogenetic analysis

Data Analysis & Public Health
  • Statistical analysis
  • Epidemiologic or public-health data

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