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Data Annotation Biology Jobs in California (NOW HIRING)

Hologic Inc.

Principal Bioinformatician

San Diego, CA

$129K - $216K/yr

Mentor and guide cross-functional scientists in bioinformatics, molecular biology, and data science ... Build and maintain scalable pipelines for genomic data processing, annotation, and analysis.

Hologic

Principal Bioinformatician

San Diego, CA · On-site

$129K - $216K/yr

Mentor and guide cross-functional scientists in bioinformatics, molecular biology, and data science ... Build and maintain scalable pipelines for genomic data processing, annotation, and analysis.

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$100K - $150K/yr

Humans are the most sophisticated biological systems we have ever observed, yet we still do not ... annotation, dataset QA, and robotics evaluation * Publish research on multimodal data by fine ...

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$120 - $160/hr

Humans are the most sophisticated biological systems we have ever observed, yet we still do not ... annotation, dataset QA, and robotics evaluation * Publish research on multimodal data by fine ...

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Data Annotation Biology information

What is data annotation in biology?

Data annotation in biology involves labeling or tagging biological data—such as images, gene sequences, or medical records—with relevant information to make it useful for research and machine learning. Annotators may identify specific features, mark regions of interest, or classify data according to biological characteristics. This work is crucial for training artificial intelligence systems to recognize patterns, make predictions, and automate analyses in biological research. Annotated datasets help improve the accuracy and reliability of computational models in genomics, microscopy, drug discovery, and more.

What are the unique challenges faced by data annotators working with biological datasets, and how can they be addressed?

Data annotators in biology often encounter challenges such as dealing with complex, high-dimensional data (like gene sequences or microscopy images) and the need for a deep understanding of biological terminology and context. Errors in annotation can significantly impact downstream research or machine learning models, so maintaining accuracy is crucial. Collaborating closely with biologists and domain experts helps ensure consistency and correctness, while ongoing training and clear annotation guidelines help address ambiguities. Staying up-to-date with evolving biological standards and tools is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a data annotation biology specialist, and why are they important?

To thrive as a Data Annotation Biology specialist, you need a solid background in biological sciences, attention to detail, and experience handling scientific datasets, often supported by a degree in biology or a related field. Familiarity with annotation tools, bioinformatics databases, and software such as BLAST or Ensembl is typically required, alongside knowledge of data management systems. Strong analytical thinking, precision, and good communication skills help you interpret complex biological data and collaborate effectively with researchers. These skills ensure the accuracy and utility of annotated datasets, which are critical for advancing biological research and data-driven discoveries.

What is the difference between Data Annotation Biology vs Data Labeling Specialist?

AspectData Annotation BiologyData Labeling Specialist
Required CredentialsBiology degree or related certificationHigh school diploma or equivalent, training in labeling tools
Work EnvironmentLaboratory, research settings, or remoteOffice, remote, or data centers
Industry UsageBiotech, healthcare, researchTech, AI, machine learning
Job FocusAnnotating biological data, images, and sequencesLabeling various data types for AI models

Data Annotation Biology involves annotating biological data, often requiring a background in biology, while Data Labeling Specialists focus on labeling diverse data types for AI applications, with less emphasis on biological expertise. Both roles are essential in data preparation but serve different industry needs.

What are popular job titles related to Data Annotation Biology jobs in California?

For Data Annotation Biology jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Annotation Biology jobs in California look for?

The top searched job categories for Data Annotation Biology jobs in California are:

What cities in California are hiring for Data Annotation Biology jobs?

Cities in California with the most Data Annotation Biology job openings:

Data Annotation Biology jobs near you
Infographic showing various Data Annotation Biology job openings in California as of August 2026, with employment types broken down into 89% Full Time, 2% Temporary, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Research Bioinformatician I - Guerin Children's - Klein Lab - Full-Time

Cedars Sinai

Los Angeles, CA • On-site

$72K - $123K/yr

Full-time

Posted 25 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,065 rated hospitals

Job description


Principal Investigator, Ophir Klein, MD, PhD, is seeking a Research Bioinformatician I to join the team!
The Research Bioinformatician I (RBI) performs general bioinformatics analysis and software support for projects involving in omics. The RBI manages omic data including loading and querying data from database system(s) and public repositories, and transforms and merges multilevel omic data into user-friendly formats.
The RBI assists in development, testing, and maintenance of modular software pipelines, provides daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.
What are the primary duties and responsibilities?
  • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers.
  • Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data.
  • Assists in development, testing, and maintenance of modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences.
  • Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats.
  • Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology.

Qualifications
Education & Experience Requirements:
  • Bachelor's Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics) required. Master's Degree preferred.
  • No experience required. Three (3) years of experience in research environment preferred.
  • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment preferred.
  • Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus.
  • Experience with nucleic acids methods strongly desired.

About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 915 licensed beds, 2,993 physicians, 4,700+ nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

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