Data Scientist II

About this role

<div style="font-size: 10pt; font-family: 'Tahoma';">(ID: 2026-2574) <p>&nbsp;</p> <br> <p><strong>Axle</strong> is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).</p> </div> <p>&nbsp;</p> <div style="font-size: 10pt; font-family: 'Tahoma';"> <p><strong>Benefits We Offer:</strong></p> <ul> <li>100% Medical, Dental &amp; Vision Coverage for Employees</li> <li>Paid Time Off and Paid Holidays</li> <li>401K match up to 5%</li> <li>Educational Benefits for Career Growth</li> <li>Employee Referral Bonus</li> <li>Flexible Spending Accounts: <ul> <li>Healthcare (FSA)</li> <li>Parking Reimbursement Account (PRK)</li> <li>Dependent Care Assistant Program (DCAP)</li> <li>Transportation Reimbursement Account (TRN)</li> </ul> </li> </ul> </div> <div class="ck-content" style="font-family: 'Segoe UI','Helvetica Neue',sans-serif; font-size: 9pt;" data-wrapper="true"> <p style="line-height: normal; margin: 0in;">&nbsp;</p> <p style="line-height: normal; margin: 0in;"><span style="font-family: Tahoma; font-size: 10pt;"><span lang="EN">We are seeking a </span><strong><span lang="EN">Data Scientist II</span></strong><span lang="EN"> to join our vibrant team supporting the </span><strong><span lang="EN">National Cancer Institute (NCI)</span></strong><span lang="EN"> at the </span><strong><span lang="EN">NIH</span></strong><span lang="EN"> in Rockville, MD. This role is embedded within NCI's Center for Biomedical Informatics and Information Technology (CBIIT), where you will directly advance cancer research by building the computational infrastructure that scientists depend on every day.</span></span></p> <p style="line-height: normal; margin: 0in;"><span style="font-family: Tahoma; font-size: 10pt;"><span lang="EN">You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES), metagenomics, metabolomics, and proteomics, as well as clinical, imaging, and biospecimen data. A core part of this role involves developing workflows that integrate these modalities to support systems-level biological questions, cross-cohort studies, and NCI CBIIT initiatives.</span></span></p> <p style="line-height: normal; margin: 0in;"><span style="font-family: Tahoma; font-size: 10pt;"><span lang="EN">You will collaborate closely with NCI scientists, bioinformaticians, clinician-researchers, data engineers, software developers, and government stakeholders to ensure analytical infrastructure is FAIR-compliant, containerized, version-controlled, well-documented, and purpose-built for long-term reuse across the research community.</span></span></p> <p style="line-height: normal; margin: 0in;"><span style="font-family: Tahoma; font-size: 10pt;"><strong>Key Responsibilities</strong></span></p> <ul style="margin-left: 8px;"> <li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e8e9d907e4c7a767253f40257240c4d9d"> <p style="line-height: normal; margin: 0in 0in 0in 0;"><span style="font-family: Tahoma; font-size: 10pt;"><strong>Bioinformatics Workflow and Data Pipeline Development:</strong> Design, build, and maintain reproducible 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 supporting analytics, dashboards, APIs, notebooks, and downstream research workflows.</span></p> </li> <li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e77f94e636b6a08a43bc4d3af23dcf0d3"> <p style="line-height: normal; margin: 0in 0in 0in 0;"><span style="font-family: Tahoma; font-size: 10pt;"><strong>Multi-Omics Analysis:</strong> Support NCI CBIIT labs in their analysis workflows including bulk RNA-seq (QC, DEG, GSEA), single-cell RNA-seq (clustering, UMAP/t-SNE, cell type annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial deconvolution, volcano plots, heatmaps).</span></p> </li> <li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e11ba96b80dc41618902fcca25e79d40b"> <p style="line-height: normal; margin: 0in 0in 0in 0;"><span style="font-family: Tahoma; font-size: 10pt;"><strong>Data Integration and Lifecycle Support:</strong> Enable reliable data movement from source systems into structured, analysis-ready formats. Support ingestion, curation, metadata capture, source-to-target mapping, schema management, provenance tracking, and long-term maintainability of data products.</span></p> </li> <li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e59cbf736cc664fefd93c2dc7acd64f0f"> <p style="line-height: normal; margin: 0in 0in 0in 0;"><span style="font-family: Tahoma; font-size: 10pt;"><strong>Statistical Modeling and Machine Learning:</strong> Apply statistical and ML methods — including hypothesis testing, regression, clustering, PCA, UMAP, t-SNE, and classification — to biomedical datasets. Incorporate AI/LLM-based extraction where appropriate, with clear validation and communication to stakeholders.</span></p> </li> <li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ed34e45938b655f1cb75be6a1f1f9a5d4"> <p style="line-height: normal; margin: 0in 0in 0in 0;"><span style="font-family: Tahoma