Research Assistant III; RAIII - Paust Lab,Remote, Temporary

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.

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/pseudo time 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.

• 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.

• 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 Flow Jo, 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.

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

• Remote, part-time position based out of Farmington, CT
• Must maintain secure handling of research data and comply with institutional policies.

This is a tem
porary role expected to last 3-4 months. Continued employment beyond the appointment period is not implied.

$27.29/hour

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community.

For more information, please visit (Use the "Apply for this Job" box below)..

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications…