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Sequencing Jobs in California (NOW HIRING)

Apply and adapt sequence-based foundation models to improve variant effect prediction * Build benchmarking and evaluation pipelines to assess model performance and robustness * Analyze and interpret ...

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Sequencing information

What is sequencing?

Sequencing in a job context typically refers to the process of determining the order in which tasks, operations, or steps are performed, especially in fields like laboratory science, manufacturing, or project management. In genomics, sequencing specifically involves determining the precise order of nucleotides in DNA or RNA. Professionals working in sequencing roles may operate specialized equipment, analyze data, and ensure quality control. Sequencing is crucial for research, diagnostics, and production efficiency, depending on the industry. Mastery of sequencing techniques and attention to detail are important skills for these positions.

What are the key skills and qualifications needed to thrive as a sequencing technician, and why are they important?

To thrive as a Sequencing Technician, you need a solid background in molecular biology, laboratory techniques, and a relevant degree such as biology or biotechnology. Familiarity with DNA sequencing platforms (like Illumina or Oxford Nanopore), laboratory information management systems (LIMS), and certifications in laboratory safety are typically required. Attention to detail, problem-solving skills, and effective teamwork set outstanding technicians apart. These competencies ensure accurate sequencing results, maintain laboratory efficiency, and support critical research or diagnostic projects.

What are some common challenges faced by professionals working in sequencing labs, and how can they be overcome?

Professionals in sequencing labs often encounter challenges such as maintaining sample integrity, managing large datasets, and troubleshooting instrument malfunctions. To address these, it's important to follow strict protocols for sample handling, stay organized with data management tools, and proactively perform routine equipment maintenance. Collaboration with bioinformaticians and other lab members is also key, as it helps in troubleshooting and optimizing workflows. Ongoing training and staying updated with advances in sequencing technology can further help overcome these challenges.

What is the difference between Sequencing vs DNA Analysis?

AspectSequencingDNA Analysis
Required CredentialsLaboratory certifications, molecular biology trainingLaboratory certifications, molecular biology training
Work EnvironmentLaboratories, research facilitiesLaboratories, research facilities
Industry UsageGenomics, medical research, biotechGenomics, forensic science, medical diagnostics
Common Search/ComparisonYesYes

Sequencing involves determining the exact order of nucleotides in DNA, while DNA analysis encompasses various techniques to interpret and compare DNA sequences. Both roles require similar credentials and are used in comparable environments within genomics and biotech industries. Sequencing is a specific process within the broader scope of DNA analysis, making them closely related but distinct in focus.

What cities in California are hiring for Sequencing jobs?

Cities in California with the most Sequencing job openings:

Infographic showing various Sequencing job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Bioinformatics Scientist (South San Francisco, CA)

Cedent

South San Francisco, CA • On-site

Full-time

Re-posted 24 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