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Evening Computer Science Bioinformatics Jobs in California

Centrilliontech

Bioinformatics Analyst

Palo Alto, CA · On-site

$65 - $90/hr

Bioinformatics Analysts Centrillion Technologies develops advanced DNA Chips which have a wide ... Requirements * BS or MS in statistics, applied mathematics, computer science or other computational ...

New

Illumina

Staff Bioinformatics Scientist

Coronado, CA · On-site

$156 - $233/hr

... computer science, mathematics, statistics, or equivalent * Minimum 6 years of related experience ... for the Staff Bioinformatics Scientist role based in the United States of America is: $155,600 ...

AA2IT

Bioinformatics Scientist - III

San Francisco, CA · On-site +1

D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis Required Experience and Skills * Hands on experience ...

AA2IT

Bioinformatics Scientist - III

San Francisco, CA · On-site +1

D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis Required Experience and Skills * Hands on experience ...

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All JobsEvening Computer Science Bioinformatics JobsEvening Computer Science Bioinformatics Jobs in California

Evening Computer Science Bioinformatics information

What is an evening computer science bioinformatics job?

Evening Computer Science Bioinformatics jobs are positions that primarily take place during evening hours and focus on applying computational methods to analyze biological data. These roles may involve tasks such as writing code to process genetic information, developing algorithms for biological research, and supporting laboratories or research teams outside traditional business hours. Such jobs are ideal for individuals seeking flexible schedules, including students or professionals who prefer working later in the day. Common employers include research institutions, hospitals, and biotech companies with extended operational hours.

What are common challenges faced by professionals working evening shifts in computer science bioinformatics roles?

Professionals in evening computer science bioinformatics positions may encounter challenges such as coordinating with daytime teams, balancing work-life commitments, and managing access to resources that may be less available after hours. Communication with colleagues in different shifts often requires proactive planning to ensure seamless project handoffs and data sharing. However, the evening schedule can also offer a quieter environment for focused analysis and coding, which some professionals find conducive to productivity.

What are the key skills and qualifications needed to thrive as an evening computer science bioinformatics professional?

To excel as an Evening Computer Science Bioinformatics professional, you generally need a solid background in computer science, biology, and data analysis, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST and Bioconductor), and knowledge of databases are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies ensure accurate analysis, meaningful insights, and seamless integration of computational solutions to biological research challenges.

What is the difference between Evening Computer Science Bioinformatics vs Evening Data Science?

AspectEvening Computer Science BioinformaticsEvening Data Science
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; certifications like Certified Bioinformatics ProfessionalBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsTech companies, finance, marketing, healthcare, consulting firms
Employer & Industry UsagePrimarily in biotech, healthcare, academiaAcross various industries including tech, finance, and retail

Evening Computer Science Bioinformatics focuses on analyzing biological data using computational methods, often in healthcare or research settings. Evening Data Science involves extracting insights from large datasets across multiple industries. While both roles require strong programming skills and statistical knowledge, their application areas and industry focus differ significantly.

Evening Computer Science Bioinformatics jobs near you

Senior Director, Bioinformatics

Summit Therapeutics

Palo Alto, CA • On-site

Full-time

Posted 26 days ago

Job description

Overview of Role: 

The Senior Director of Bioinformatics will provide scientific, strategic, and operational leadership for bioinformatics and computational biology activities supporting discovery, translational research, clinical development, and biomarker programs. This individual will work with a multidisciplinary team responsible for the analysis and interpretation of genomic, transcriptomic, proteomic, spatial, pathology, imaging, molecular modeling and clinical datasets to enable target identification, patient stratification, biomarker discovery, companion diagnostic development, and data-driven decision-making across the company's pipeline. 

The successful candidate will serve as a key partner to Translational Medicine/Research, Biomarkers and Clinical Development teams and will help shape the organization's long-term data and computational strategy. 

Role and Responsibilities: 

Translational Research and Biomarker Development 

  • Lead analyses supporting biomarker discovery, patient selection, pharmacodynamic assessments, and mechanisms of response and resistance. 
  • Direct integration of multiomic datasets including:  
  • Whole exome sequencing (WES) 
  • Whole genome sequencing (WGS) 
  • RNA sequencing 
  • Single-cell sequencing 
  • Spatial transcriptomics 
  • Proteomics 
  • ctDNA 
  • Digital pathology and imaging data 
  • Collaborate with translational scientists and clinicians to generate biologically meaningful insights that influence clinical development strategy. 
  • Support companion diagnostic (CDx) development and regulatory submissions. 
  • Molecular modeling of protein-protein interactions 

Strategic Leadership 

  • Develop and execute the company's bioinformatics and computational biology strategy across discovery, translational, and clinical programs. 
  • Interface with high-performing team of biochemists, computational biologists, and data scientists. 
  • Establish scientific priorities, resource plans, and technology roadmaps aligned with corporate objectives. 
  • Evaluate emerging technologies in AI/ML, multiomics, digital pathology, spatial biology, and real-world data analytics. 

Data Science and AI 

  • Drive implementation of machine learning and AI-based approaches for biomarker identification and predictive modeling. 
  • Establish computational methods for integrating molecular and clinical data. 
  • Partner with digital pathology and imaging teams on AI-enabled analyses. 
  • Evaluate and implement cloud-based analytics platforms and scalable computational infrastructure. 

Scientific Collaboration 

  • Partner closely with:  
  • Discovery Research 
  • Translational Medicine 
  • Clinical Development 
  • Biostatistics 
  • Companion Diagnostics 
  • Manage external collaborations with academic institutions, CROs, technology providers, and diagnostic partners. 

Operational Excellence 

  • Establish best practices for data governance, reproducibility, quality control, and regulatory compliance. 
  • Oversee bioinformatics infrastructure, cloud computing resources, and data management processes. 
  • Ensure timely delivery of analyses supporting key development milestones. 
  • All other duties as assigned 

 
Experience, Education and Specialized Knowledge and Skills: 

  • PhD in Bioinformatics, Computational Biology, Genetics, Genomics, Computer Science, Statistics, Systems Biology, or related field. 
  • Minimum of 15+ years of relevant experience in biotechnology, pharmaceutical, diagnostics, or related industries. 
  • Strong track record supporting oncology, inflammation, or other therapeutic development programs. 
  • Experience with biomarker strategies across multiple stages of drug development. 
  • Experience supporting IND, BLA, NDA, PMA, or companion diagnostic submissions preferred. 
  • Demonstrated expertise in: 
  • NGS analysis pipelines 
  • Multiomics data integration 
  • Statistical genomics 
  • Clinical biomarker analysis 
  • Single-cell and spatial biology analytics 
  • Machine learning and predictive modeling 
  • Cloud computing platforms (AWS, Azure, GCP) 
  • Programming languages such as R and Python 
  • Data visualization and scientific communication 
  • Preferred Qualifications 
  • Oncology drug development experience strongly preferred. 
  • Experience supporting companion diagnostic development and precision medicine strategies. 
  • Understanding of FDA, EMA, and global regulatory expectations for biomarker data. 
  • Experience with AI-powered pathology platforms and image analysis. 
  • History of scientific publications in high-impact journals. 
  • Experience working in cross-functional teams in a matrixed environment. 

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