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Bachelors In Bioinformatics Jobs in California (NOW HIRING)

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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 California?

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

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

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

What cities in California are hiring for Bachelors In Bioinformatics jobs?

Cities in California with the most Bachelors In Bioinformatics job openings:

Bachelors In Bioinformatics jobs near you
Infographic showing various Bachelors In Bioinformatics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Bioinformatics Scientist (South San Francisco, CA)

Cedent

South San Francisco, CA • On-site

Full-time

Re-posted 9 days ago

Job description

We are seeking a highly motivated and innovative Senior/Staff Bioinformatics Scientist to join our R&D team focused on synthetic biology product development. In this role, you will work at the intersection of computational and molecular biology, developing advanced DNA sequence analysis pipelines, gene design algorithms, and predictive models to optimize DNA synthesis and assembly.
You will collaborate with molecular biologists, product teams, and manufacturing engineers to refine client's core synthetic biology platform, troubleshoot assembly challenges, and improve DNA synthesis efficiency. This position emphasizes predictive modeling, algorithm development, and data-driven approaches to enhance synthetic biology workflows.
Key Responsibilities
Synthetic Biology & DNA Assembly
  • Develop bioinformatics methods supporting DNA assembly strategies and synthetic biology workflows.
  • Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize synthesis parameters.
  • Collaborate with wet-lab scientists to analyze and troubleshoot molecular biology processes.
  • Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly issues.
NGS Pipeline Development & Data Science
  • Build and maintain NGS analysis pipelines (e.g., Nextflow) to support quality control and performance tracking of synthetic biology products.
  • Leverage Oxford Nanopore Technologies (ONT), Illumina, or PacBio sequencing to analyze and optimize synthesis workflows.
  • Develop predictive models to identify challenging sequences and recommend optimizations to improve synthesis efficiency.
  • Ensure pipeline accuracy, reproducibility, and scalability in research environments.
Data Analysis & Insights
  • Apply advanced statistical and machine learning methods to evaluate improvements in synthetic biology product iterations.
  • Use Python, R, and visualization tools to generate actionable insights and present findings to stakeholders.
  • Design and implement novel bioinformatics algorithms for sequence analysis and synthetic biology applications.
Cross-Functional Collaboration
  • Partner with R&D, manufacturing, and product development teams to troubleshoot assay issues and implement data-driven solutions.
  • Support the broader Bioinformatics team by integrating synthetic biology workflows with existing genomic data processing pipelines.
  • Assist with customer-facing analyses related to synthetic biology assay performance.
Required Qualifications
  • Educational Background & Experience:
  • Bachelor's/Master's degree with 6-8 years of industry experience, or a Ph.D. with 3+ years of industry experience in Bioinformatics, Molecular Biology, Biochemistry, Genetics, Genomics, Computational Biology, or a related field.
  • Bioinformatics & NGS Expertise:
  • Experience with ONT, Illumina, or PacBio sequencing technologies.
  • Proficiency in workflow management tools (Nextflow, Snakemake).
  • Hands-on experience designing predictive models for sequence design & synthetic biology applications.
  • Technical Skills:
  • Expertise in Python (Pandas, NumPy, SciPy) and visualization libraries (Matplotlib, Seaborn, Plotly).
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) applied to biological sequence data.
  • Familiarity with R, SQL, or other statistical tools.
  • Molecular Biology & Synthetic Biology Knowledge:
  • Understanding of DNA assembly, cloning techniques, and molecular biology workflows.
  • Ability to interpret experimental data and provide feedback on laboratory procedures.
Preferred Qualifications
  • Experience developing design algorithms for synthetic biology applications.
  • Familiarity with deep learning approaches for biological sequence analysis.
  • Exposure to high-throughput experimental design and laboratory automation.
  • Hands-on experience with gene synthesis and synthetic biology assay development.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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