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Evening Computer Science Bioinformatics Jobs in California

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$140 - $190/hr

D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline * 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline * 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline * 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical ...

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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.

What are the most commonly searched types of Computer Science Bioinformatics jobs in California?

The most popular types of Computer Science Bioinformatics jobs in California are:

Evening Computer Science Bioinformatics jobs near you

Bioinformatics Data Scientist (Part-time/Temporary)

Artiva Biotherapeutics, Inc.

San Diego, CA • On-site

$55 - $65/hr

Temporary

Posted 4 days ago

Job description

About Artiva:
We are a clinical-stage biotechnology company focused on developing natural killer (NK) cell-based therapies. Our mission is to develop effective, safe, and accessible cell therapies for patients with devastating autoimmune diseases. We aim to develop therapies that patients and physicians can utilize in a community setting. Our lead product candidate, AlloNK®, is a non-genetically modified, cryopreserved NK cell therapy being evaluated in combination with B-cell targeted monoclonal antibodies (mAbs). We believe the compelling cell killing properties of NK cells, when combined with mAbs for targeting, creates an opportunity to generate potentially transformative therapies.
For more information, visit www.artivabio.com.
Position 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.
Responsibilities:
  • Design, develop, and maintain bioinformatics pipelines and workflows for diverse biomedical data types including bulk RNA-seq, scRNA-seq, proteomic, and flow cytometric data.
  • Perform multi-omics and biomarker analysis including quality control, normalization, batch correction, differential expression analysis, clustering, dimensionality reduction (PCA, UMAP, t-SNE), cell type annotation, comparative analysis, and pathway analysis.
  • Support data integration, curation, and lifecycle management including annotation, data ingestion, metadata capture, schema management, and provenance tracking. Enable reliable data movement from source systems into structured, analysis-ready formats.
  • Build and support interactive dashboards, visualization tools, notebooks, and reports enabling researchers and clinicians to explore multi-omics, clinical, and sequencing data. Support figure generation for quality control, differential expression, and pathway analyses. Translate complex computational findings into clear biological narratives.
  • Collaborate with multidisciplinary teams including wet-lab scientists, bioinformaticians, clinician-researchers, biostatisticians, data engineers, and IT personnel.

Required Qualifications:
  • Bachelor's or master's degree (preferred) in Computer Science, Data Science, Bioinformatics, Computational Biology, or related field, and demonstrated experience (typically 2+ years) in bioinformatics pipeline development and biological data science.
  • Proficiency in Python for analysis, scripting, data science, and visualization. Familiarity with biological computing and data science libraries (e.g., Scanpy, Pandas, NumPy, scikit-learn).
  • In-depth knowledge of modern tools and pipelines for processing, aligning, and analyzing multimodal NGS and omics data. Knowledge of standard bioinformatics data formats (FASTQ, FCS) and related processing tools.
  • Proficiency with at least one pipeline framework (e.g., Airflow, Snakemake, Nextflow).
  • Experience with a cloud computing environment (GCP, AWS, Azure). Proficiency with queryable databases (e.g., PostgreSQL, BigQuery). Ability to work with structured, semi-structured, and unstructured data across relational and data lake environments.
  • Awareness of data governance, privacy, and compliance requirements for clinical and research data.
  • Strong background in constructing statistical models, hypothesis testing, regression analysis, clustering, and dimensionality reduction techniques. Demonstrated experience with machine learning (ML) methods and applying ML techniques to biological and clinical datasets. Knowledge of differential expression analysis, pathway analysis, and statistical methods relevant to genomic data.

Preferred Qualifications:
  • Advanced Development Tools: Experience with frameworks for web application development (Django, Flask, RShiny, Streamlit, React). Experience with CI/CD pipelines.
  • Advanced Biomedical Domain Knowledge: Background in biomedical research, clinical research, immunology, or healthcare analytics.
  • Governance & Data Management: Experience with metadata management, data lineage, open-source code release, containerized analyses, and secure handling of de-identified or access-controlled research datasets.

Compensation: $55 - 65/hr. Exact compensation may vary based on skills and experience.
If all this speaks to you, come join us on our journey!

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