Computational Biology / Bioinformatics Analyst III - Medical Readiness Systems Biology (Evergreen)
Walter Reed Army Institute of Research
The Geneva Foundation
Geneva is a 501(c)3 non-profit organization that supports innovative medical research and excellence in education within the U.S. military.MRSB is a disease-agnostic program that utilizes high-throughput, multi-omics platforms supported by a suite of cutting edge, targeted assay tools and Artificial Intelligence (AI)-driven analytical capabilities to identify diagnostic and prognostic biomarkers that generate a knowledge base about biological mechanisms and personalized care. The MRSB is committed to developing a seamless, integrative module enabling to interrogate genome-to-phenome landscape to inform medical interventions and develop products to improve Warfighter health, performance, resilience, and readiness.
Responsibilities
- Computational Biology/Bioinformatics Research
- Perform routine and specialized computational biology/bioinformatics research effort procedures within molecular and systems biology, and analytical techniques necessary to identify biomarkers from conditions/diseases of military relevance.
- Process and analyze data, visualize the outcome, utilize high performance computing, and draw scientific conclusions for identifying multi-omics molecular underpinnings of the diseases and disorders of military service.
- Perform research to identify biomarkers of military relevant diseases to be used in the development of evidence-based knowledge products (e.g., government reports, peer-reviewed publications), diagnostic panels, and medical interventions in Servicemembers.
- Determine differential expression to include transcriptomic analysis of microarrays/next generation sequencing, single cell sequencing, epigenetic analysis including DNA methylation and miRNA analysis, high throughput proteomics and metabolomics, proteomics, exome sequencing, whole genome arrays.
- Utilize tools such as R programming, Bioconductor, Ingenuity Pathway Analysis, CLC genomics workbench, Genespring or equivalent software.
- Be involved in project specific assay design, data generation and /or data analysis.
- Develop and maintain databases as specified in the proposals and protocols and use the DOD High Performance Computing (HPC) system for data storage analysis and data mining.
- Perform statistical analysis for descriptive, diagnostic, predictive, and prescriptive data analysis.
- Provide unsupervised analysis using tools, such as Principal Component Analysis (PCA) and/or Self Organization Map (SOM).
- Apply random forest and logistic regression model to identify sets of predictive molecules, pathway enrichment analysis by mining Ingenuity Pathway Analysis (IPA), GO, KEGG, and MsigDB databases.
- Perform unbiased assessment for the microbiome of the metagenome, non-metric multidimensional scaling (NMDS), uniform manifold approximation projection (UMAP), and t-distributed stochastic neighbor embedding (t-SNE).
- Perform didactic instruction to laboratory members on statistical methods/techniques and analytical software.
- Manage and execute scientific protocols for multi-omics studies including genomics, transcriptomics, epigenomics, proteomics, metabolomics, and single cell analysis.
- Develop and manage protocols that require Institutional Review Boards (IRB) and Institutional Animal Care and Use Committee (IACUC) reviews.
- Maintain an accurate account of assigned project’s funding, progress against proposed outcomes and necessary updates or issues that would prevent project completion being reported to funding agencies.
- Navigate and utilize grant submission portals, such as grants.gov.
- Support timely, compliant, and accurate submissions of technical reports and/or project updates required by funding agencies to support and track science project execution.
- Draft and submit funding proposals to support novel research efforts in funding topics relevant to MRSB.
- Assist in preparing briefings, technical reports, and writing and figures for manuscript publication in professional/scientific journals.
- Review and edit written communications, research protocols, research records, and presentations.
- Assist in presentations of future, current or previous research efforts.
Requirements
- Minimum of a Bachelor's (or Master's degree preferred) in Behavioral Biology, Computational Biology, Bioinformatics, Analytics, or other related concentration.
- Graduate level training and proficiency in:
- Statistical analysis
- Biomedical research
- Quantitative analysis
- Previous direct experience with the DOD High Performance Computing (HPC) system for data storage analysis and data mining. (Preferred)
- Must have functional experience utilizing tools such as R programming, Bioconductor, Ingenuity Pathway Analysis, CLC genomics workbench, Genespring or equivalent software.
- Must have knowledge about intra- and extramural partners of MRSB to include but not limited to:
- The National Institutes of Health (NIH)
- NASA
- Various University Partners
- Commercial and Non-Profit Entities.
- Must have the knowledge, skills, and abilities in multiple relevant academic disciplines, including but not limited to:
- Biomedical and mechanical engineering
- Neuroscience
- Psychology
- Pharmacology
- Biochemistry
- Neuroanatomy
- Areas of research experience to include but not limited to:
- Kinetic and non-kinetic TBI
- Injury biomechanics
- Cellular biology
- Biomarkers
- Neuropathology
- PTSD
- Sleep rhythmicity
- Combat stress
- Psychological and physiological stress
- Resilience
Citizenship and Clearance Requirements
- Must be a U.S. Citizen
- Must hold a minimum Tier II/Secret DoD Clearance level
The Geneva Foundation is an equal opportunity employer and prohibits discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biochemistry Bioconductor Bioinformatics Biology Data analysis Data Mining Engineering HPC R Research Statistics
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