Join our talented team of bioinformaticians dedicated to understanding the genetics of cancer! We are seeking an enthusiastic, creative, and collaborative bioinformatics scientist to support our broad portfolio of functional studies including transcriptomics, epigenomics and multi-omic analyses.

The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world's most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Gaithersburg, MD and operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70+ investigators in DCEG. Our bioinformaticians have both the passion to learn and the opportunity to apply their skills to our rich and varied genotyping and sequencing datasets, generated in support of DCEG's multidisciplinary family- and population-based studies. Working in concert with the epidemiologists, biostatisticians, and basic research scientists in DCEG's intramural research program, CGR conducts genome-wide discovery studies and targeted regional approaches to identify the heritable determinants of various forms of cancer.

Leidos recognizes the importance of balance and flexibility in our work environment and offers a variety of competitive benefits including relocation and support for continued learning. Additionally, we are committed to the recruitment, retention, and development of a diverse group of employees. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

KEY ROLES/RESPONSIBILITIES

• Provide support for a broad range of analyses, including transcriptome (targeted, wtRNASeq, miRNA, sc/snRNA), methylation and other functional assays
• Contribute to building, benchmarking, and maintaining bioinformatics pipelines to facilitate high-throughput genomic data analysis in HPC and cloud environments
• Harmonize and maintain diverse datasets and associated metadata, including performing combined analyses of data run on multiple platforms and/or externally generated data
• Thoughtfully synthesize results into clear presentations and concise summaries of work to support recommendations for next steps
• Leverage publicly available biological data to help validate novel findings or insights from internally generated data. Provide biological interpretation of genomic analyses to advance the understanding of cancer.
• Coordinate with additional resources throughout DCEG, including fellows, post-docs, other contract resources to support an integrative, collaborative, collegial environment
• Collaborate closely with DCEG PIs on scientific manuscript development, submission, and revision activities with significant co-authorship and potentially first authorship opportunities

BASIC QUALIFICATIONS

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of a PhD degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, statistics, genetics, computational biology or related field. Foreign degrees must be evaluated for U.S. equivalency
• No experience required beyond a PhD.
• Scientific and/or complex system management/bioinformatics experience
• In-depth knowledge of applied computational research on large multivariate datasets
• Expertise in algorithmic implementation, statistical programming and data manipulation, using R/Bioconductor, Python, MATLAB, and a wide range of contemporary, open-source bioinformatics tools
• Proficiency with Bash, Python, Perl, R, C/C++, and/or JAVA
• Team-oriented with excellent written and verbal communication skills, organizational skills, and attention to detail; ability to organize and execute multiple projects in parallel
• Demonstrated ability to proactively remain up-to-date in current bioinformatics techniques and resources, and identify and benchmark novel software solutions against established reference datasets
• Experience in constructing practical computational tools/pipelines for data parsing, quality control, modelling, and analysis for large-scale genetic or genomics datasets
• Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• In addition to educational requirements, a minimum of three (3) years of progressively responsible scientific and/or complex system management/bioinformatics experience
• Familiarity with publicly available data sources (such as dbGaP, GDC/TCGA, ENCODE, 1000 Genomes, gnomAD/ExAC, TARGET, GTEX) and diverse genomic annotations
• Experience managing large datasets and computational tasks in a Linux-based high-performance computing environment
• A background in RNA biology and experience with complex bioinformatic analysis of RNA sequencing experiments for both bulk and sc/snRNASeq
• Pipeline development experience, including collaborative coding and use of source control (e.g. git)
• Experience with Snakemake or other workflow management systems
• Experience with containerization (e.g. Singularity, Docker)
• Experience with Google Cloud, AWS, or managed cloud environments
• Experience in the field of functional genomics with a strong publication record

Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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