Top 5 Senior bioinformatics scientist Jobs in San Diego Ca

Senior Scientist, Bioinformatics
Kenai Therapeutics —San Diego, CA
- $140,000 - $155,000 a year
- Full-time
- Hybrid work
- 3 years
- Analysis skills
- Doctor of Philosophy
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Senior Staff Engineer/Scientist, Bioinformatics
Foresite Labs (Stealth Co) —San Diego, CA
- $202,000 - $215,000 a year
- Full-time
- 6 years
- Computer Science
- Doctor of Philosophy
Sr. Scientist I, Translational Genetics & Real-World Evidence
Arrowhead Pharmaceuticals —San Diego, CA
- $145,000 - $165,000 a year
- 3 years
- Analysis skills
- Doctor of Philosophy
Quick Apply
Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)
HAYA Therapeutics —San Diego, CA
- $140,000 - $150,000 a year
- Full-time
- 6 years
- Computer Science
- Doctor of Philosophy
Quick Apply

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Senior Scientist, Bioinformatics

Kenai Therapeutics
San Diego, CA

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Job Details

Full-time
$140,000 - $155,000 a year

Qualifications

AI models
Spatial analysis
Software engineering
Computational research
Data visualization software proficiency
Biostatistics-based research
Tooling
Presentations for conferences or internal meetings
R
AI platforms (beyond public GPTs)
Computational framework
Maintaining data pipelines
Machine intelligence
Drug discovery
Doctor of Philosophy
Supervised learning
Machine learning (ML) fundamentals
AI-driven automation
Unsupervised learning
Dimensionality reduction
Model evaluation
Machine learning frameworks
Bioinformatics data analysis
Pharmaceutical research experience
Data visualization projects
Technical Proficiency
Project stakeholder communication
Python
Data analysis software
Biostatistical modeling

Full Job Description

Kenai Therapeutics is seeking a skilled and versatile computational biologist to join our highly collaborative, multidisciplinary, and dynamic team advancing next-generation allogeneic cell therapies for neurological diseases. As Senior Scientist of Bioinformatics, the ideal candidate will drive computational analysis and pipeline development across CMC and research programs. This candidate brings scientific rigor, deep hands-on expertise in single-cell and multiomics analysis, and a strong foundation in statistics and machine learning to generate actionable insights that inform therapeutic decision-making. This role requires exceptional technical skills, a proven ability to communicate complex findings across scientific disciplines, and a desire to thrive in a small, fast-moving organization where flexibility and initiative are essential.

Key Responsibilities:

Design, implement, and maintain scalable, reproducible pipelines for single-cell RNA-seq, spatial transcriptomics, and integrative multiomics data analysis, from raw data through biological interpretation
Apply statistical modeling and machine learning approaches to large-scale omics datasets to identify biomarkers, characterize cellular heterogeneity, and aid process development
Leverage AI-based tools and platforms to accelerate research workflows, automate analyses, and enhance software development productivity
Perform complex data interpretation across modalities (scRNA-seq, genomics, spatial omics, proteomics) and translate findings into actionable insights for programs and leadership
Partner closely with manufacturing and research teams to align computational efforts with therapeutic objectives and program priorities
Contribute to data infrastructure strategy, supporting robust systems for data storage, integration, traceability, and long-term analytics
Communicate results effectively through internal presentations, and cross-functional meetings; distill complex analyses into clear narratives for diverse audiences.

Requirements

Ph.D. in bioinformatics, computational biology, genomics, statistics, or a related quantitative discipline with 3+ years of relevant industry experience
Self-motivated, hardworking, and adaptable
Strong foundation in statistics and machine learning, including supervised and unsupervised methods, dimensionality reduction, and model evaluation
Deep hands-on experience with single-cell analysis frameworks (e.g., Scanpy, Seurat, scVI) and associated workflows across the full analytical lifecycle
Strong proficiency in Python and R for data analysis, visualization, and pipeline development; Javascript experience is a plus
Demonstrated experience supporting drug discovery and development programs with computational and bioinformatic analyses
Proficiency in utilizing AI and large language model–based tools for research acceleration and software development
Excellent written and verbal communication skills, including the ability to present complex technical work to both computational and non-computational audiences
Strong team player with a collaborative mindset and a commitment to working in a small, tight-knit, and high-performing team environment

Preferred

Background in neuroscience, developmental biology, or related areas of disease biology
Experience in cell therapy research, manufacturing analytics, or related cell-based therapeutic modalities
Familiarity with spatial transcriptomics platforms (e.g., 10x Visium, Xenium, MERFISH) and integrative multiomics approaches
Track record of scientific contributions evidenced by peer-reviewed publications, patents, or conference presentations

Benefits

Kenai Therapeutics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The salary range for this position is $140,000 USD to $155,000 USD annually. This salary range is an estimate, and the actual salary may vary based on experience and/or the Company’s compensation practices.

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Refine Your Search

senior bioinformatics scientist jobs in san diego ca

Senior Scientist, Bioinformatics

Senior Staff Engineer/Scientist, Bioinformatics

Sr. Scientist I, Translational Genetics & Real-World Evidence

Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)

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