D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or ... and Annotation * Excellent communication skills and the desire to work in a dynamic and ...
D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or ... and Annotation * Excellent communication skills and the desire to work in a dynamic and ...
Bioinformatician
Fort Worth, TX · On-site
Experience * 2 years experience in genomic data processing, variant annotation, or large-scale data ... Master's degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science ...
Bioinformatician
Fort Worth, TX · On-site
Experience * 2 years experience in genomic data processing, variant annotation, or large-scale data ... Master's degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science ...
Experience * 2 years experience in genomic data processing, variant annotation, or large-scale data ... Master's degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science ...
Experience * 2 years experience in genomic data processing, variant annotation, or large-scale data ... Master's degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science ...
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... and clinical data, image review and annotation, extraction of quantitative imaging features ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
... data, image review and annotation, extraction of quantitative imaging features, support for AI ... biological sciences or a related field. Prior research experience is preferred but not required.
Postdoctoral Research Associate
College Station, TX · Hybrid
$4.1K/mo
... sees genome data and disease ecology as one continuous line of work rather than separate ... Lead hybrid (Oxford Nanopore + Illumina) sequencing, assembly, and annotation of pathogen genomes ...
Postdoctoral Research Associate
College Station, TX · Hybrid
$4.1K/mo
... sees genome data and disease ecology as one continuous line of work rather than separate ... Lead hybrid (Oxford Nanopore + Illumina) sequencing, assembly, and annotation of pathogen genomes ...
Postdoctoral Research Associate
College Station, TX · Hybrid
$4.1K/mo
... sees genome data and disease ecology as one continuous line of work rather than separate ... Lead hybrid (Oxford Nanopore + Illumina) sequencing, assembly, and annotation of pathogen genomes ...
Postdoctoral Research Associate
College Station, TX · Hybrid
$4.1K/mo
... sees genome data and disease ecology as one continuous line of work rather than separate ... Lead hybrid (Oxford Nanopore + Illumina) sequencing, assembly, and annotation of pathogen genomes ...
Oversee large-scale genomic datasets, ensuring data integrity, security, and HIPAA compliance • ... Qualifications : Required : • Doctoral Degree in Bioinformatics, Computational Biology ...
Oversee large-scale genomic datasets, ensuring data integrity, security, and HIPAA compliance • ... Qualifications : Required : • Doctoral Degree in Bioinformatics, Computational Biology ...
Research Engineering/Scientist Assistant
Austin, TX · On-site
$38K/yr
Perform statistical analysis and data visualization (Python/R) of behavioral and imaging data, and ... Required Qualifications Bachelor's degree in Neuroscience, Biology, or a related field. Preferred ...
Research Engineering/Scientist Assistant
Austin, TX · On-site
$38K/yr
Perform statistical analysis and data visualization (Python/R) of behavioral and imaging data, and ... Required Qualifications Bachelor's degree in Neuroscience, Biology, or a related field. Preferred ...
Postdoctoral Fellow
Austin, TX · On-site
$70K/yr
... biological imaging. This position offers a rare opportunity to help pioneer the use of advanced ... Exploring active learning and crowdsourced annotation approaches * Quantifying organism movement ...
Postdoctoral Fellow
Austin, TX · On-site
$70K/yr
... biological imaging. This position offers a rare opportunity to help pioneer the use of advanced ... Exploring active learning and crowdsourced annotation approaches * Quantifying organism movement ...
Data Annotation Biology information
What is the difference between Data Annotation Biology vs Data Labeling Specialist?
| Aspect | Data Annotation Biology | Data Labeling Specialist |
|---|---|---|
| Required Credentials | Biology degree or related certification | High school diploma or equivalent, training in labeling tools |
| Work Environment | Laboratory, research settings, or remote | Office, remote, or data centers |
| Industry Usage | Biotech, healthcare, research | Tech, AI, machine learning |
| Job Focus | Annotating biological data, images, and sequences | Labeling 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.
What are popular job titles related to Data Annotation Biology jobs in Texas? For Data Annotation Biology jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Annotation Biology jobs in Texas look for? The top searched job categories for Data Annotation Biology jobs in Texas are:
What cities in Texas are hiring for Data Annotation Biology jobs? Cities in Texas with the most Data Annotation Biology job openings:
ExamOne rating
6.6
Based on 9 frontline employees who took The Breakroom Quiz
97th of 120 rated laboratories
Job description
We are seeking a highly motivated next generation sequencing (NGS) data analytic scientist to support Oncology Assay Development at Quest. As a member of the Oncology R&D team, this role will collaborate with other scientists and staff from cross-functional teams to develop, validate, and support cutting-edge genomic assays for oncology applications.
The ideal candidate will have a strong background in bioinformatics and/or genomic data analysis for somatic applications, translating complex data into actionable insights that drive product development, operational excellence and clinical impact.
This professional will work in a hybrid capacity requiring 3 days onsite at our Lewisville, TX facility.
Responsibilities
- Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel datasets generated from Illumina, Ion Torrent and PacBio sequencing technologies.
- Curate, analyze, and interpret complex genomics datasets to support assay development, validation, and high throughput implementation
- Present findings to drive decision-making in R&D product development, troubleshooting, and pipeline improvement
- Design, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products
- Partner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutions
- Support production day-to-day operations, quickly pivoting focus to respond to incidents and requests
- Monitor, execute, and improve sequence analysis workflows and automation
- Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing
- Track, troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT)
- Contribute to continuous improvement of analytical methods, workflows, and data quality standards
Qualifications
The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results.
Required Work Experience:
- Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role
- Master's degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related field
- Experience with oncology genomics and somatic variant analysis
Preferred Work Experience:
- Experience in NGS workflow development
- Strong analytical skills with the ability to interpret and communicate experimental results
- Ability to work collaboratively in a fast-paced, Cross-functional environment.
- Experience with Software Development Life Cycle documentation procedure
- Familiarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnostics
Skills:
- Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualization
- Strong proficiency in NGS data processing, QC, and interpretation
- Experience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and Annotation
- Excellent communication skills and the desire to work in a dynamic and collaborative environment
About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.