Oncology Computational Biologist — Antigen Target Discovery

American Cybersystems, Inc.; San Diego (CA); On-site; USD 110,000 - 124,000; Full time

Benefits offered by this job

Medical & pharmacy coverage

Dental/vision insurance

401(k)

Job summary

Innova Solutions is seeking a Scientist- Computational Biology for a full-time contract in San Diego, CA. You will lead antigen target discovery for radiopharmaceutical therapy and develop bioinformatics workflows.

The role requires a PhD with 3+ years of experience, expertise in RNA-seq, proteomics, and omics data analysis, and programming in Python/R/Perl. Collaboration with cross-functional teams is essential to drive data-driven decisions.

Qualifications

• PhD in a relevant field with 3+ years of industry experience.
• Expertise in RNA-seq, proteomics, and other omics data analysis.
• Strong background in -omic data analysis and oncology biology.

Responsibilities

• Identify and validate novel antigen targets for radiopharmaceutical therapy using multi-omics data.
• Design analytical frameworks to process, visualize and interpret high-throughput sequencing and omics data.
• Collaborate with cross-functional teams to provide bioinformatics guidance on experimental design.
• Interpret results and present actionable insights to inform radiopharmaceutical discovery.
• Apply oncology knowledge to understand cancer biology and therapeutic resistance.

Skills

RNA-seq analysis

Proteomics analysis

Omics data analysis

Programming: Python/R/Perl

Education

PhD in Bioinformatics/Computational Biology/Cancer Biology or related field

Tools

Bioconductor

Job description

Innova Solutions is seeking a Scientist- Computational Biology for a full-time contract in San Diego, CA. You will lead antigen target discovery for radiopharmaceutical therapy and develop bioinformatics workflows.

The role requires a PhD with 3+ years of experience, expertise in RNA-seq, proteomics, and omics data analysis, and programming in Python/R/Perl. Collaboration with cross-functional teams is essential to drive data-driven decisions.