ICF · 4 days ago

Bioinformatics Analyst (Remote)

Reston, VA

Full-time

Remote

Entry Level

$64K/yr - $108K/yr

1+ years exp

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Responsibilities

Provide bioinformatics services to assist scientific problem-solving in a broad range of research topics.

Analyze large molecular datasets such as proteomic data, and genomic data for clinical or basic research purposes.

Assist with the data curation activities for the scientific databases including working with scientists, publication research, and verification.

Provide support for approaches, processes, and methods for the management, integration, analysis, and visualization of data from different data sources.

Assist in management of genomic, proteomic, and other multiomic data and annotation resources.

Standardize the biomedical data using common data elements, terminologies, and controlled vocabularies

Assists in preparation of presentations at scientific meetings, documentation for scientific processes.

Develop custom scripts and software to automate scientific data analysis using Python, Per/BioPerl, R, and/or Java.

Assist in the development and maintenance of specialized, high-performance databases for different aspects of ‘omics analysis.

Qualification

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BioinformaticsData analysisGenomicsProteomicsPythonRData curationSQL databasesNoSQL databasesCloud platformsMachine learningNatural language processingData visualizationAgile environmentWorkflow management tools

Required

Master’s in Bioinformatics, Computational Biology, Biomedical Informatics, Computer Science, or a related field.

1+ year of experience working with biological and clinical data, particularly in genomics, proteomics, or multi-omics, with familiarity in relevant data structures and formats.

1+ year of experience in data curation, including cleaning, transforming, and annotating raw data, and proficient in using controlled vocabularies and ontologies to ensure consistent and accurate data integration and retrieval.

1+ year of experience in bioinformatics data analysis, including setting up and running pipelines for large-scale omics data in cloud or local environments.

1+ year of experience in Python and R for data processing, analysis, and integration.

1+ year of experience with SQL databases (e.g., MySQL, PostgreSQL) for structured data and NoSQL databases (e.g., MongoDB, Elasticsearch) for unstructured data, with the ability to integrate and retrieve data from both types in bioinformatics applications.

1+ year of experience with cloud-based data platforms and APIs (e.g., AWS, Google Cloud).

Preferred

Ph.D. in Bioinformatics, Computational Biology, Biomedical Informatics, Computer Science, or a related field.

Experience building or querying knowledge graphs, particularly for biomedical data.

Familiarity with applying machine learning and natural language processing techniques.

Experience working in an Agile environment.

Familiarity with libraries or tools for data visualization (e.g., Plotly, ggplot2, Circos, Shiny, D3.js) to present complex data in user-friendly formats.

Experience with workflow management tools (e.g., Snakemake, Nextflow, Cromwell) to automate and optimize data analysis pipelines.