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Data Annotation Biology Jobs (NOW HIRING)

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... annotation of language data with parts of speech information, and improve existing models by ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Variant calling and basic annotation and DNA methylation data processing and analysis and Data ... Biology * Proficiency in R and at least one scripting language * Experience with QC and data ...

... computational biology, and human-in-the-loop curation. Potential projects include LLM-based ... Develop benchmark datasets, annotation guidelines, and evaluation pipelines for scientific ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Ingest, transform, and harmonize structured and semi-structured biological data from lab systems ... control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Ingest, transform, and harmonize structured and semi-structured biological data from lab systems ... control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Ingest, transform, and harmonize structured and semi-structured biological data from lab systems ... control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Ingest, transform, and harmonize structured and semi-structured biological data from lab systems ... control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Ingest, transform, and harmonize structured and semi-structured biological data from lab systems ... control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Ingest, transform, and harmonize structured and semi-structured biological data from lab systems ... control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks ...

... Biological Anthropology, Linguistic Anthropology, Sociology, Area Studies, Museum Studies, or a ... AI training, data annotation, LLM evaluation, social science QA, academic review, cultural ...

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Data Annotation Biology information

See salary details

$37.5K

$122.7K

$196.5K

How much do data annotation biology jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data annotation biology in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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.

Is it hard to get hired for data annotation?

Getting hired for a data annotation biology role can be straightforward if you have basic attention to detail and familiarity with biological concepts. Many positions require minimal formal education and focus on accuracy and consistency, often with training provided. Competition varies depending on the company and location, but entry-level roles are generally accessible to those with relevant skills.

Does data annotation actually pay you?

Data annotation jobs, including roles in biology, typically pay hourly or per task rates, with compensation varying by company and experience level. Many companies offer remote work with flexible schedules, and some require basic knowledge of biological concepts or annotation tools. Payment is usually processed through standard methods like direct deposit or PayPal.

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 jobs are available in data annotation?

Jobs in data annotation include roles such as data annotator, labeler, or tagger, where individuals review and label data like images, videos, or text to train machine learning models. These positions often require attention to detail, familiarity with annotation tools, and may involve remote work or flexible schedules.

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 biology jobs pay over $100k?

In biology-related roles, positions such as biomedical scientists, pharmacologists, and research directors often have salaries exceeding $100,000, especially with advanced degrees and experience. Jobs in biotech companies, pharmaceutical firms, and research institutions tend to offer higher compensation, particularly for those with specialized skills, certifications, or leadership responsibilities.

What are some of 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.
More about Data Annotation Biology jobs
What cities are hiring for Data Annotation Biology jobs? Cities with the most Data Annotation Biology job openings:
What states have the most Data Annotation Biology jobs? States with the most job openings for Data Annotation Biology jobs include:

Data Scientist 3

Gormat

Annapolis Junction, MD • On-site

$132K - $147K/yr

Full-time

Re-posted 12 days ago


Job description

We are seeking a Data Scientist proficient in Python and Jupyter Notebook to support a Natural Language Processing (NLP) project. You will help to accurately and automatically tokenize language data with spoken or written origins, develop automated solutions for the annotation of language data with parts of speech information, and improve existing models by scoring performance against human-generated annotations for speech and text.

The Level 3 Data Scientist shall possess the following capabilities:

  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.  
  • DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text.

Qualifications:

  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

TS/SCI with polygraph is required.


Job Posted by ApplicantPro