RCI-GILD-16290 Immuno-oncology Sr. Research Associate - Foster City, CA ( NON-PhD)

Rangam; San Mateo (CA); On-site; USD 100,000 - 125,000; Full time

Job summary

An innovative firm is seeking a Bioinformatics Data Scientist to enhance oncology research through advanced data analysis and programming. This role involves analyzing large omics datasets, curating gene signatures, and supporting various research projects. The ideal candidate will possess strong programming skills in R, Perl, or Python, and have a solid understanding of cancer biology and immunology. Join a dynamic team dedicated to advancing biopharmaceutical research and making a meaningful impact in the field of oncology. This position offers a unique opportunity to contribute to groundbreaking projects in a collaborative environment.

Qualifications

• Advanced degree in bioinformatics or related fields required.
• Experience in the biopharmaceutical industry preferred.

Responsibilities

• Support oncology research projects through bioinformatics analysis.
• Analyze high-throughput omics datasets and troubleshoot workflows.

Skills

Bioinformatics

Programming in R

Programming in Python

Statistical Analysis

Cancer Biology Knowledge

Immunology Knowledge

Perl Programming

Omics Data Analysis

Education

Advanced degree in Bioinformatics

Degree in Computational Biology

Degree in Biostatistics

Degree in Computer Science

Tools

Open-source Bioinformatics Tools

Job description

RCI-GILD-16290 Bioinformatics Data Scientist (Omics) - Oncology - Foster City, CA

2 days ago - Be among the first 25 applicants

This range is provided by Rangam. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $60.00/hr

Job Title

Research Data Scientist - Oncology

Job Responsibilities

We are seeking a motivated bioinformatics contractor to join our research data science team. The candidate will support oncology research projects. Main responsibilities include:

1. Programming and troubleshooting bioinformatics analysis workflows.
2. Analyzing high-throughput omics datasets, such as scRNASeq, TCR-Seq, WES, ATAC-Seq, and proteomics.
3. Conducting biological signatures and pathways analysis.
4. Curation of gene signatures and pathways from literature and public sources.
5. Supporting other bioinformatics analyses for research oncology projects as assigned.

Knowledge, Experience, and Skills

• Advanced degree in bioinformatics, computational biology, biostatistics, computer science, or related fields.
• Experience in the biopharmaceutical industry is preferred.
• Fundamental knowledge of cancer biology and immunology.
• Basic understanding of statistical analysis.
• Strong programming skills in R, Perl, or Python.
• Experience with open-source bioinformatics tools and large omics datasets (e.g., TCGA, GTEx, CCLE, DepMap).
• Ability to work semi-independently, with effective communication skills, proactive attitude, and strong work ethic.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Science
• Industries: Pharmaceutical Manufacturing and Biotechnology Research