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Bachelors In Bioinformatics Jobs in Encinitas, CA

Worky

Software Quality Engineer II

San Diego, CA · On-site

$90 - $130/hr

Bachelor's degree in computer science, bioinformatics or related discipline required. * Years relevant/ total work experience:At least 3 years of relevant experience required. * Certifications ...

Veracyte

Sr. Director, Lab Pipelines and LIMS

San Diego, CA · On-site

$112K - $147K/yr

Bachelor's degree in Computer Science, Engineering, Bioinformatics, or a related field * 12+ years of software engineering experience, including leadership of multiple teams or organizations * Proven ...

Illumina

Staff Software Engineer

Coronado, CA · On-site

$156 - $233/hr

Have proven verbal and written communication skills Education & Experience: BS/MS in Computer Science, EE, Bioinformatics, or related field 8+ years of professional software development experience ...

Illumina

Staff Software Engineer

San Diego, CA · On-site

$156 - $233/hr

Education & Experience:*** BS/MS in Computer Science, EE, Bioinformatics, or related field* 8+ years of professional software development experience#LI-HYBRID### The estimated base salary range for ...

Illumina, Inc.

Staff Software Engineer

San Diego, CA · On-site

Have proven verbal and written communication skills Education & Experience: * BS/MS in Computer Science, EE, Bioinformatics, or related field * 8+ years of professional software development ...

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Bachelors In Bioinformatics information

See Encinitas, CA salary details

$63.9K

$101.5K

$160.6K

How much do bachelors in bioinformatics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for bachelors in bioinformatics in Encinitas, CA is $101,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a bachelor's in bioinformatics?

A Bachelor's in Bioinformatics is an undergraduate degree program that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Students learn how to use computational tools to manage and study large datasets, such as genetic sequences or protein structures. This interdisciplinary field prepares graduates for careers in healthcare, pharmaceuticals, research, and biotechnology, or for further study in graduate programs. The curriculum typically includes courses in molecular biology, programming, data analysis, and genomics.

What are the key skills and qualifications needed to thrive with a bachelor's in bioinformatics?

To thrive with a Bachelor's in Bioinformatics, you need a solid background in biology, computer science, statistics, and data analysis. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST or Bioconductor), and understanding of databases are typically essential. Strong problem-solving abilities, communication skills, and attention to detail help you effectively collaborate and interpret complex biological data. These competencies are crucial for analyzing and translating biological information into actionable insights in research, healthcare, or industry settings.

What types of collaborative projects can someone with a bachelor's in bioinformatics expect to work on in an entry-level position?

In an entry-level bioinformatics role, you'll often collaborate with interdisciplinary teams that may include biologists, computer scientists, and statisticians. Typical projects involve tasks like analyzing genomic data, developing data pipelines, or assisting with the management of large biological datasets. You might also contribute to research publications or support experimental design by providing computational insights. This teamwork fosters a dynamic work environment where communication and adaptability are highly valued.

What is the difference between Bachelors In Bioinformatics vs Bachelors In Biotechnology?

AspectBachelors In BioinformaticsBachelors In Biotechnology
Required CredentialsBachelor's degree in bioinformatics, computer science, or related fieldsBachelor's degree in biotechnology, biology, or related fields
Work EnvironmentResearch labs, data analysis, software developmentLaboratories, manufacturing, research and development
Industry UsageHealthcare, pharmaceuticals, research institutionsPharmaceuticals, agriculture, medical devices

Both degrees prepare students for roles in biotech and healthcare sectors, but Bachelors In Bioinformatics focuses on computational analysis of biological data, while Bachelors In Biotechnology emphasizes laboratory techniques and product development. Your choice depends on whether you prefer data-driven research or hands-on lab work.

Do bioinformaticians get paid well?

Bioinformaticians typically earn competitive salaries due to their specialized skills in biology, computer science, and data analysis. Salaries vary based on experience, education, and location, but they are generally above average compared to other entry-level science roles.

Is a bachelor in bioinformatics still a good career?

A bachelor's in bioinformatics is still a viable career option, as the field combines biology, computer science, and data analysis, which are in high demand in healthcare, research, and biotech industries. Professionals often work with tools like programming languages and databases, and advanced roles may require further education or certifications. The job outlook remains positive due to ongoing growth in personalized medicine and genomics.

What jobs can I get with a bachelor's in bioinformatics?

A bachelor's in bioinformatics qualifies you for roles such as bioinformatics analyst, research assistant, laboratory technician, or data analyst in biotech, pharmaceutical, or healthcare companies. These positions often require skills in programming, data analysis, and familiarity with biological databases and tools like Python, R, or SQL.

What are popular job titles related to Bachelors In Bioinformatics jobs in Encinitas, CA?

For Bachelors In Bioinformatics jobs in Encinitas, CA, the most frequently searched job titles are:

What cities near Encinitas, CA are hiring for Bachelors In Bioinformatics jobs?

Cities near Encinitas, CA with the most Bachelors In Bioinformatics job openings:

Bachelors In Bioinformatics jobs near you
Infographic showing various Bachelors In Bioinformatics job openings in Encinitas, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $101,474 per year, or $48.8 per hour.

Bioinformatics Data Scientist (Part-time/Temporary)

Artiva Biotherapeutics, Inc.

San Diego, CA • On-site

$55 - $65/hr

Temporary

Posted 17 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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