Computational Scientist, Single-Cell & Spatial Genomics

BioSpace; Rockville (MD); On-site; USD 103,000 - 148,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Job summary

Leidos Biomedical Research, Inc. is seeking a skilled Computational Scientist to join the Cancer Genomics Research Laboratory in Rockville, MD.

You will lead end-to-end analyses of single-cell, multi-omics, and spatial omics data, collaborating with epidemiologists, biostatisticians, and scientists to advance cancer genomics research. The role requires expertise in experimental design, QC interpretation, segmentation, batch correction, and multi-sample integration, plus strong programming in R

Qualifications

• PhD in bioinformatics, computational biology, biostatistics, or related field.
• Experience with single-cell, multi-omics, and spatial omics data analysis.
• Experience with sequencing- and imaging-based spatial omics platforms.
• Strong publication record in single-cell and spatial omics.
• Strong programming in R and Python; Docker, Singularity, GitHub, Snakemake/Nextflow.
• Proficiency in Linux HPC or cloud environments, Slurm, large datasets.

Responsibilities

• Lead end-to-end analyses of single-cell, multi-omics, spatial omics projects with investigators.
• Design analytical aims and experiments in cancer genomics and spatial omics.
• Evaluate infrastructure and implement state-of-the-art methods for omics analyses.
• Benchmark software tools and integrate into workflows.
• Perform nuclear segmentation and image analysis for tissue types.
• Evaluate QC metrics and filtering criteria for downstream data.
• Batch correction, data integration, clustering, and cell annotation.
• Study tumor microenvironments and immune cell infiltration.
• Apply ML and deep learning methods for analysis.
• Develop interpretable visualizations and analytical reports.
• Integrate multi-modal omics datasets for oncology research.
• Document software versions and pipelines; use Docker, GitHub, Snakemake/Nextflow.
• Use HPC clusters and cloud resources; ensure scalability.
• Summarize findings and present to leadership and scientists.
• Contribute to manuscript preparation and co-authorship opportunities.
• Stay current with advances via literature, seminars, and collaborations.

Skills

Publication record

Programming in R/Python

Independent research

Multidisciplinary collaboration

Education

PhD in Bioinformatics/Computational Biology/Biostatistics or related field

Tools

Docker

Singularity

GitHub

Snakemake/Nextflow

R

Python

Cell Ranger

Space Ranger

Job description

Leidos Biomedical Research, Inc. is seeking a skilled Computational Scientist to join the Cancer Genomics Research Laboratory in Rockville, MD.

You will lead end-to-end analyses of single-cell, multi-omics, and spatial omics data, collaborating with epidemiologists, biostatisticians, and scientists to advance cancer genomics research. The role requires expertise in experimental design, QC interpretation, segmentation, batch correction, and multi-sample integration, plus strong programming in R