Research Assistant III (RAIII) – Paust Lab,Remote, Temporary

The Jackson LaboratoryFarmington, CT
4dRemote

About The Position

Position Summary The Research Assistant III (RAIII) will provide advanced research support focused on single-cell and multi-omic data analysis in immunology/cancer and manuscript development for near-term submission. This role will work closely with the PI and project team to convert existing datasets into publication-ready results by conducting rigorous analyses, generating figures/tables, drafting manuscript sections, and maintaining reproducible documentation. The successful candidate is independent, deadline-driven, and comfortable collaborating across disciplines. Key Responsibilities Single-cell & immuno-oncology data analysis Perform QC, preprocessing, integration, and annotation of single-cell RNA-seq and flow cytometry datasets from immuno-oncology studies. Analyze in vivo histology data demonstrating hyperplasia and tumor development in in vivo model systems +/- therapy. Identify and interpret immune/tumor states (e.g., NK/T cell subsets, myeloid populations), differential abundance/expression, pathway/activity scoring, and cell-cell interaction analyses in the context of tumor development and disease progression. Produce publication-quality visualizations (UMAP/TSNE, dot/violin plots, heatmaps, composition plots, trajectory/pseudotime where relevant) and concise analytical summaries for internal review. Ensure reproducibility: maintain well-documented scripts/notebooks, organized outputs, and clear analysis logs suitable for Methods reporting. Manuscript writing & figure assembly Draft and revise Results, Methods, and figure legends (and support Introduction/Discussion as needed) for immunology/cancer manuscripts. Build and refine figure panels and tables; ensure consistency between text, statistics, and underlying data. Manage references and formatting and support journal submission requirements (as assigned). Incorporate PI/co-author feedback efficiently; support responses to reviewer comments if revisions occur during the appointment. Project coordination & quality Track deliverables and deadlines; maintain version control for documents/figures and clear handoffs to the team. Follow data governance, confidentiality, and research integrity standards; handle sensitive research data appropriately.

Requirements

  • M.S. required (or higher) in Immunology with additional knowledge in Bioinformatics, Computational Biology, and Biostatistics.
  • Demonstrated experience analyzing single-cell datasets (scRNA-seq required; additional modalities a plus).
  • Proficiency in R and/or Python for analysis and visualization (e.g., Seurat/Scanpy and relevant ecosystem tools).
  • Experience with immune-oncology analytical workflows: batch correction/integration, cell-type annotation, gene set enrichment, single-cell integration, as well as detailed analyses of flow cytometry and histology datasets
  • Experience with and ability to communicate results to mixed wet-lab/computational audiences; ability to translate analyses into clear narrative text.
  • Proficiency in FlowJo, Prism, and Microsoft Word.
  • Proven ability to produce publication-ready figures and contribute substantially to scientific manuscripts.
  • Strong organizational skills, attention to detail, and ability to work independently in a remote, deadline-driven setting.

Nice To Haves

  • Prior authorship or major contribution to peer-reviewed publications in immunology and/or cancer.

Responsibilities

  • Single-cell & immuno-oncology data analysis Perform QC, preprocessing, integration, and annotation of single-cell RNA-seq and flow cytometry datasets from immuno-oncology studies.
  • Analyze in vivo histology data demonstrating hyperplasia and tumor development in in vivo model systems +/- therapy.
  • Identify and interpret immune/tumor states (e.g., NK/T cell subsets, myeloid populations), differential abundance/expression, pathway/activity scoring, and cell-cell interaction analyses in the context of tumor development and disease progression.
  • Produce publication-quality visualizations (UMAP/TSNE, dot/violin plots, heatmaps, composition plots, trajectory/pseudotime where relevant) and concise analytical summaries for internal review.
  • Ensure reproducibility: maintain well-documented scripts/notebooks, organized outputs, and clear analysis logs suitable for Methods reporting.
  • Manuscript writing & figure assembly Draft and revise Results, Methods, and figure legends (and support Introduction/Discussion as needed) for immunology/cancer manuscripts.
  • Build and refine figure panels and tables; ensure consistency between text, statistics, and underlying data.
  • Manage references and formatting and support journal submission requirements (as assigned).
  • Incorporate PI/co-author feedback efficiently; support responses to reviewer comments if revisions occur during the appointment.
  • Project coordination & quality Track deliverables and deadlines; maintain version control for documents/figures and clear handoffs to the team.
  • Follow data governance, confidentiality, and research integrity standards; handle sensitive research data appropriately.
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