Research Data Analyst (Oncology) - #Staff

Johns Hopkins University; Baltimore (MD); Hybrid; USD 49,000 - 86,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Johns Hopkins University’s Sidiropoulos Laboratory is seeking a Research Data Analyst to support computational immunology and spatial multi-omics research. You will analyze high-dimensional multimodal datasets and maintain reproducible computational workflows.

The role involves data collection, model execution, reporting, and applying supervised/unsupervised learning methods while contributing to manuscripts and collaborative studies. Hybrid work on the School of Medicine campus is expected.

Qualifications

• Bachelor’s degree in bioinformatics, computational biology, biostatistics, data science, computer science, biomedical engineering, biology, or a related field.
• Three years of related experience.
• Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Responsibilities

• Collect data and generate reports and models.
• Run models, analyze model results, and prepare reports on the analysis.
• Conduct analyses in support of the assigned research project or study.
• Conduct statistical analyses using standard and statistical software packages.
• Design and prepare tables to illustrate analytic findings.
• Manage or contribute to entry of data in the assigned database.
• May engage in other research related responsibilities.
• Other duties as assigned.

Skills

Data analysis

Statistical analysis

Machine learning

R programming

Python programming

Git

Jupyter

Workflow management

Education

Bachelor’s degree in bioinformatics, computational biology, biostatistics, data science, computer science, biomedical engineering, biology, or a related field

Master’s degree preferred

Tools

R

Python

Nextflow

Docker

Singularity/Apptainer

Snakemake

Seurat

Scanpy

Bioconductor

Job description

The Sidiropoulos Laboratory at the Johns Hopkins University School of Medicine is seeking a highly motivated Research Data Analyst to support research in computational immunology and spatial multi-omics. The successful candidate will analyze high-dimensional multimodal biomedical datasets and maintain reproducible computational workflows. We are seeking a Research Data Analyst who will provide data analysis and related activities for various types of research projects and studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data.

Specific Duties & Responsibilities

• Collect data and generate reports and models.

• Run models, analyze model results, and prepare reports on the analysis.

• Conduct analyses in support of the assigned research project or study.

• Conduct statistical analyses using standard and statistical software packages.

• Design and prepare tables to illustrate analytic findings.

• Manage or contribute to entry of data in the assigned database.

• May engage in other research related responsibilities.

• Other duties as assigned.

In addition to the duties above:

• Develop and use reproducible pipelines for single-cell, spatial, genomic, immune-repertoire, imaging, and flow-cytometry analyses.

• Generate publication-quality figures, tables, reports, and presentations.

• Integrate experimental, molecular, spatial, and clinical data across projects.

• Contribute to manuscripts, abstracts, grant applications, and collaborative studies.

• Apply supervised and unsupervised machine-learning methods, including classification, regression, clustering, and dimensionality reduction.

• Support the use of deep-learning and biomedical foundation models for transcriptomic, spatial, imaging, or multimodal data.

• Maintain reproducible workflows using Git and environment-management tools.

• Support secure data transfer, storage, backup, and archiving.

• Participate in laboratory meetings, study design, troubleshooting, and interpretation.

Minimum Qualifications

• Bachelor’s degree in bioinformatics, computational biology, biostatistics, data science, computer science, biomedical engineering, biology, or a related field.

• Three years of related experience.

• Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• Master’s degree in a relevant field or equivalent education and professional research experience.

• Experience with single-cell, spatial, genomic, immune-repertoire, imaging, flow-cytometry, or multi-omic data.

• Experience applying machine-learning, deep-learning, generative AI, or biomedical foundation models.

• Experience with high-performance computing, SLURM, GPUs, cloud computing, Docker, Singularity or Apptainer, Nextflow, or Snakemake.

• Familiarity with tools such as Seurat, Scanpy, Bioconductor, Git, Jupyter, R Markdown, or Quarto.

• Experience with cancer biology, immunology, molecular biology, or next-generation sequencing.

• Experience contributing to scientific manuscripts, presentations, or collaborative research projects.

• Experience analyzing biomedical, genomic, clinical, or other complex datasets.

• Programming experience in R, Python, or a comparable language.

Classified Title: Research Data Analyst

Role/Level/Range: ACRP/04/MC

Starting Salary Range: $49,200 - $86,200 Annually ($67,650 targeted; Commensurate w/exp.)

Employee group: Full Time

Schedule: Mon - Fri / 8a - 5:30p

FLSA Status: Exempt

Location: Hybrid/School of Medicine Campus

Department name: SOM Onc Cancer Immunology/GI Clinical Re

Personnel area: School of Medicine

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.