Part-Time Bioinformatics Data Scientist — Multi-Omics

artivabio; San Diego (CA); On-site; USD 76,000 - 90,000; Part time

Job summary

Artiva Biotherapeutics is seeking a part-time/temporary Bioinformatics Data Scientist to help garner biological insights from multimodal biological data. You will design and maintain bioinformatics pipelines, generate insights, and build automated dashboards and reports in collaboration with wet-lab scientists, clinician-researchers, and data engineers.

This role focuses on developing pipelines for diverse omics data, performing advanced analyses, and delivering visualization-ready outputs to

Qualifications

• 2+ years in bioinformatics pipeline development.
• Proficiency in Python for analysis and visualization.
• Experience with multimodal omics data processing and QC.
• Knowledge of ML methods applied to biological data.

Responsibilities

• Design, develop, and maintain bioinformatics pipelines for bulk RNA-seq, scRNA-seq, proteomic, and flow cytometric data.
• Perform multi-omics and biomarker analysis including QC, normalization, batch correction, differential expression analysis, clustering, and pathway analysis.
• Support data integration, curation, metadata capture, schema management, and provenance tracking.
• Build and support dashboards, visualization tools, notebooks, and reports exploring multi-omics, clinical, and sequencing data.
• Collaborate with wet-lab scientists, bioinformaticians, clinician-researchers, biostatisticians, data engineers, and IT.

Skills

Python programming

ML methods

Statistical analysis

Data visualization

Bioinformatics pipelines

Education

Bachelor’s or Master’s in CS/Data Science/Bioinformatics/Computational Biology

Tools

Airflow

Snakemake

Nextflow

PostgreSQL

BigQuery

Cloud platforms (GCP, AWS, Azure)

Job description

Artiva Biotherapeutics is seeking a part-time/temporary Bioinformatics Data Scientist to help garner biological insights from multimodal biological data. You will design and maintain bioinformatics pipelines, generate insights, and build automated dashboards and reports in collaboration with wet-lab scientists, clinician-researchers, and data engineers.

This role focuses on developing pipelines for diverse omics data, performing advanced analyses, and delivering visualization-ready outputs to