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Temporary Bioinformatics Jobs in California (NOW HIRING)

AllSTEM Connections

Senior AI Protein Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

D. in Computational Protein Design, Structural Biology, Bioinformatics, or a related field. - 5+ ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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All JobsBioinformatics JobsTemporary Bioinformatics JobsTemporary Bioinformatics Jobs in California

Temporary Bioinformatics information

What is a temporary bioinformatics?

Temporary bioinformatics jobs are short-term positions in the field of bioinformatics, which combines biology, computer science, and statistics to analyze and interpret biological data. These roles may last from a few weeks to several months and often support specific research projects, data analysis tasks, or software development needs. Temporary bioinformatics professionals may work in academic labs, biotech companies, or healthcare organizations, and such positions are ideal for gaining experience or contributing to time-limited studies. They require strong analytical skills, proficiency with bioinformatics tools, and an understanding of biological datasets.

What does a temporary bioinformatics do?

In a Temporary Bioinformatics role, you can expect to spend your days analyzing large biological datasets, running computational pipelines, and generating reports for ongoing research projects. You'll frequently collaborate with laboratory scientists, data analysts, and principal investigators to interpret results and refine analysis methods. Flexibility and adaptability are important, as project priorities may shift quickly in response to research needs. Effective communication skills are also essential, since you'll often present findings or troubleshoot issues with multidisciplinary teams.

What are the key skills and qualifications needed to thrive as a temporary bioinformatics?

To thrive as a Temporary Bioinformatics Specialist, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and knowledge of databases such as GenBank are typically required. Analytical thinking, problem-solving, and effective communication skills are important for interpreting data and collaborating with research teams. These skills are crucial for efficiently extracting insights from complex biological data and supporting research objectives within tight project timelines.

What is the difference between Temporary Bioinformatics vs Data Analyst?

AspectTemporary BioinformaticsData Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Statistics, Mathematics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsBusiness, finance, healthcare, or tech companies
Employer & Industry UsageResearch projects, clinical studies, biotech firmsData-driven decision making across industries
Common Search & ComparisonTemporary Bioinformatics vs Data Analyst

Temporary Bioinformatics roles focus on analyzing biological data, often in research or healthcare settings, requiring specialized bioinformatics skills. Data Analysts work across various industries to interpret data for business insights, with a broader focus on statistical analysis. While both roles involve data interpretation, Temporary Bioinformatics positions are more specialized in biological and genomic data, whereas Data Analysts handle diverse datasets in multiple sectors.

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

The most popular types of Bioinformatics jobs in California are:

What are popular job titles related to Temporary Bioinformatics jobs in California?

For Temporary Bioinformatics jobs in California, the most frequently searched job titles are:

What job categories do people searching Temporary Bioinformatics jobs in California look for?

The top searched job categories for Temporary Bioinformatics jobs in California are:

What cities in California are hiring for Temporary Bioinformatics jobs?

Cities in California with the most Temporary Bioinformatics job openings:

Temporary Bioinformatics jobs near you

Bioinformatics Data Scientist (Part-time/Temporary)

Artiva Biotherapeutics, Inc.

San Diego, CA • On-site

$55 - $65/hr

Temporary

Posted 14 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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