Axle is seeking a Data Scientist II to support the National Cancer Institute (NCI) at the NIH in Rockville, MD, with a salary range of USD 130,000 to 145,000 per year.
Responsibilities
- Design, implement, and maintain reproducible bioinformatics pipelines for diverse biomedical data types including genomic, transcriptomic, single-cell, spatial, proteomic, metagenomic, metabolomic, and clinical datasets; develop reusable transformation logic and curated datasets for analytics, dashboards, APIs, notebooks, and downstream research workflows.
- Collaborate on multi-omics analyses for NCI CBIIT labs, covering bulk RNA-seq workflows (quality control, differential expression, gene set enrichment analysis), single-cell RNA-seq (clustering, UMAP/t-SNE visualization, cell type annotation, DEG), and Digital Spatial Profiling tasks (annotation, QC, normalization, spatial deconvolution, volcano plots, heatmaps).
- Enable reliable data movement from source systems into analysis-ready formats; support ingestion, curation, metadata capture, source-to-target mapping, schema management, provenance tracking, and long-term maintainability of data products.
- Apply statistical methods and machine learning techniques to biomedical data, including hypothesis testing, regression, clustering, dimensionality reduction (PCA, UMAP, t-SNE), and classification; incorporate AI or LLM-based extraction where appropriate with clear validation and stakeholder communication.
- Develop and support researcher-facing applications and visualizations, including interactive dashboards (Shiny, Streamlit), notebooks, reports, and APIs to explore multi-omics and clinical data; assist with figure generation for QC, differential expression, pathway, and spatial analyses.
- Collaborate with data scientists, bioinformaticians, researchers, developers, and government stakeholders to translate scientific needs into technical specifications, data models, and reusable workflows that accelerate biomedical research.
Requirements
- Education and background: Bachelor's degree in Data Science, Bioinformatics, Computer Science, Biological Sciences, or a related field; advanced degree preferred, or equivalent experience. Demonstrated experience in data-intensive roles supporting biomedical research or scientific computing.
- Data science and bioinformatics expertise: Proficiency in Python and R for analysis, scripting, and visualization; hands-on experience with at least two omics data types such as bulk RNA-seq, scRNA-seq, spatial transcriptomics, proteomics, metagenomics, or GWAS.
- Analytical skills: Strong foundation in statistical modeling, dimensionality reduction, clustering, differential expression analysis, and pathway analysis; experience with structured, semi-structured, and unstructured data across relational and data lake environments.
- Collaboration and communication: Excellent problem-solving abilities with the ability to communicate across technical and non-technical audiences; capable of translating scientific needs into technical solutions and clearly articulating risks, assumptions, and limitations.
- Domain alignment: Genuine interest in biomedical and translational research; ability to quickly learn domain terminology and workflows, with awareness of data governance, privacy, and compliance requirements for clinical and research data.
Technologies
- Python, R, Shiny, Streamlit, Snowflake, Databricks, Galaxy, Terra, Nextflow, WDL, Snakemake, Singularity, CWL, Scanpy, Squidpy, SCIMAP, AnnData, Jupyter, Posit Connect, AWS, EC2, S3, Lambda, SLURM, SGE, NIH Biowulf
Benefits
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts: Healthcare, Parking Reimbursement Account, Dependent Care Assistant Program, Transportation Reimbursement Account
