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Frederick National Laboratory for Cancer Research · 19 hours ago

Senior Bioinformatician - NCI/ ITEB

Rockville, MD

Full-time

Onsite

Senior Level, Lead/Staff

$124K/yr - $207K/yr

10+ years exp

The Frederick National Laboratory for Cancer Research is seeking a skilled and motivated Bioinformatics Analyst to join the Cancer Genomics Research Laboratory. This role involves analyzing and integrating complex genomic datasets to advance cancer research, particularly focusing on lung cancer through the Sherlock- Lung Study.

BiotechnologyHealth CareMedicalOncology

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Analyze and integrate somatic and germline deep whole-genome and multi-omics datasets from the Sherlock- Lung cohort, ensuring timely progress toward key scientific milestones and publications

Formulate hypotheses for large-scale cancer studies and test them by analyzing single nucleotide variants (SNVs), indels, structural variants (SVs), copy number alterations (SCNAs), clonal and subclonal drivers, and mutation signatures to characterize intra-tumor heterogeneity, with a particular focus on lung cancer

Develop, implement, and optimize pipelines for somatic variant analysis from short- and long-read WGS, including: Raw data processing, alignment, and quality control. Tumor purity estimation. Somatic mutation calling (SNVs, indels, SVs, CNAs) using best-practice workflows. Advanced analyses such as driver gene identification, mutational signature deconvolution, microsatellite instability detection, telomere length estimation, and Battenberg copy number phasing

Apply statistical methods to interpret genomic datasets and integrate findings with clinical and multi-omics data

Research, evaluate, and implement state-of-the-art computational methods for single-cell, multi-omics, and spatial omics analyses, and communicate findings to diverse audiences

Maintain and document pipelines, software, and scripts to ensure reproducibility and scalability

Provide support for analysis of genomic data from epidemiological studies. This includes but is not limited to data manipulation, and integrated genomic analyses. Prepare various reports and presentations detailing the methodology and results

Present findings at meetings and lead/contribute to peer-reviewed publications

Qualification

Next-generation sequencing (NGS)Bioinformatics toolsMulti-omics data integrationHigh-performance computing (HPC)Scripting languagesStatistical modelingGenomic databasesCommunication skillsProblem-solving skillsTeam collaboration

Required

Possession of Master's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency

In addition to the education requirement, a minimum of ten (10) years of progressively responsible experience

Proven expertise in next-generation sequencing (NGS) data analysis, with a focus on somatic whole-genome sequencing analyses and multi-omics data integration

Demonstrated experience with custom and open-source pipelines for large-scale data analysis

Demonstrated experience and in-depth understanding of lung cancer biology and cancer genomics, with a strong track record in result interpretation and summarization of findings for publications

Expert-level knowledge of bioinformatics tools for primary and secondary NGS data processing for large cancer datasets, statistical modeling, phenotype/genotype integration and visualization

Strong experience using genomic databases such as TCGA, dbGAP, gnomAD, cBioPortal, ENCODE, 1000 Genomes, AllofUs, GTEx, ICGC, PCAWG and UK Biobank

Extensive proficiency in scripting and programming languages including Bash, R and Python with experience in RStudio and Jupyter Notebooks, managing code on GitHub

Significant experience with high-performance computing (HPC) environments and job scheduling systems such as SLURM

Proven experience preparing high-impact research manuscripts for peer-reviewed publications

Ability to obtain and maintain a security clearance

Preferred

Strong written, verbal, and presentation skills. Ability to work effectively in a multidisciplinary research environment and communicate technical findings clearly to non-specialist audiences

Self-motivated, research-focused professional with a passion for advancing cancer genomics

Demonstrated scientific contributions through a strong publication record in high-impact journals

Proficiency with core statistical, machine learning and bioinformatics analytical methods

Strong experience with large-scale multi-omics data integration (e.g., genomics, genetics, transcriptomics, DNA methylation, etc.)

Strong understanding of algorithmic efficiency and working on high performance clusters for supporting large and diverse datasets

Experience with various environment/dependency management tools (e.g. pip, venv, conda, renv) and workflow management systems such as Snakemake or Nextflow

Knowledge of containerization with Docker/Singularity, JIRA and GitHub for project management

Strong analytical and problem-solving skills with attention to detail

Strong communication skills, and the ability to work both independently and collaboratively as part of team