Bioinformatics Analyst III, ITEB, CGR

Job description

Bioinformatics Analyst III, ITEB, CGR

Job ID: req4285
Employee Type: exempt full-time
Division: Clinical Research Program
Facility: Rockville: 9615 MedCtrDr
Location: 9615 Medical Center Drive, Rockville, MD 20850 USA

The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc.

The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

PROGRAM DESCRIPTION

We are seeking a skilled and motivated bioinformatics professional to join the Cancer Genomics Research Laboratory (CGR), located at the National Cancer Institute (NCI) Shady Grove campus in Rockville, MD.

CGR is operated by Leidos Biomedical Research, Inc., and collaborates with the NCI’s Division of Cancer Epidemiology and Genetics (DCEG)—the world’s leading cancer epidemiology research group.

Our scientific team leverages cutting-edge technologies to investigate genetic, epigenetic, transcriptomic, proteomic, and molecular factors that drive cancer susceptibility and outcomes.

We are deeply committed to the mission of discovering the causes of cancer and advancing new prevention strategies through our contributions to DCEG’s pioneering research.

Our team of CGR bioinformaticians supports DCEG’s multidisciplinary family- and population-based studies by working closely with epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program.

We provide end-to-end bioinformatics support for genome-wide association studies (GWAS), methylation, targeted, whole-exome, whole-transcriptome and whole-genome sequencing along with viral and metagenomic studies from both short- and long-read sequencing platforms.

This includes the analysis of germline and somatic variants, structural variations, copy number variations, gene and isoform expression, base modifications, viral and bacterial genomics, and more.

Additionally, we advance cancer research by integrating latest technologies such as single cell, multiomics, spatial transcriptomics, and proteomics, in collaboration with the Functional and Molecular and Digital Pathology Laboratory groups within CGR.

We extensively analyze large population databases such as All of Us, UK Biobank, gnomAD and 1000 genomes to inform and validate GWAS signals, study the association between genetic variation and gene expression, protein levels, metabolites and develop polygenic risk scores across multiple populations.

Our bioinformatics team develops and implements sophisticated, cloud-enabled pipelines and data analysis methodologies, blending traditional bioinformatics and statistical approaches with cutting-edge techniques like machine learning, deep learning, and generative AI models.

We prioritize reproducibility through the use of containerization, workflow management tools, thorough benchmarking, and detailed workflow documentation.

Our infrastructure and data management team works closely with researchers and bioinformaticians to maintain and optimize a high-performance computing (HPC) cluster, provision cloud environments, and curate and share large datasets.

The successful candidate will provide dedicated analytical support to the Integrative Tumor Epidemiology Branch (ITEB) and contribute to cancer research in areas such as GWAS, germline and somatic variant analysis, single-cell RNA sequencing, and proteomics expression analysis.

The bioinformatics analyst will support the installation, troubleshooting, and execution of analytical pipelines using open-source scientific software on Unix/Linux and cloud-based platforms.

They will leverage publicly available bioinformatics and genomic databases, as well as analysis pipelines, to process various data types, including genome-wide genotyping arrays, long-read DNA sequencing, gene expression, proteomic profiling, and methylation profiling across diverse tissues and cancer types.

Working closely with DCEG investigators and CGR bioinformaticians and scientists, the analyst will operate with a high degree of independence.

This role involves handling large-scale sequencing data, developing robust pipelines, and collaborating with interdisciplinary teams to derive meaningful biological insights.

The candidate will be expected to:

KEY ROLES/RESPONSIBILITIES

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, 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.

Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Pay and Benefits

Pay and benefits are fundamental to any career decision.

That's why we craft compensation packages that reflect the importance of the work we do for our customers.

Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.

More details are available

109, - 188,

The posted pay range for this job is a general guideline and not a guarantee of compensation or salary.

Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data.

The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions

Required Skill Profession

Mathematical Science Occupations