... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
... germline variant annotation, classification, and reporting. * Define and drive content ... Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational ...
Proofread and edit research data and documents to ensure accuracy. Prepare and present ... annotation, and quantitative image analysis. Qualifications: Education: Bachelor's degree Bachelor ...
Proofread and edit research data and documents to ensure accuracy. Prepare and present ... annotation, and quantitative image analysis. Qualifications: Education: Bachelor's degree Bachelor ...
Laboratory Technician
Ann Arbor, MI · On-site
$18.50 - $24.75/hr
Accurately transfer off-line patient data from worksheets and instrument printout to the computer ... Proficiency in image acquisition, file management, and annotation. * Prior histology lab experience.
Laboratory Technician
Ann Arbor, MI · On-site
$18.50 - $24.75/hr
Accurately transfer off-line patient data from worksheets and instrument printout to the computer ... Proficiency in image acquisition, file management, and annotation. * Prior histology lab experience.
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 Michigan? For Data Annotation Biology jobs in Michigan, the most frequently searched job titles are:
- Remote Bioinformatics
- Bioinformatics Scientist
- Manager Scientific Database Curator
- Overnight Computational Linguistics Intern
- Bioinformatics Data Scientist
- Internship Clinical Data Scientist
- Remote Biomedical Data Scientist
- Phd Data Scientist
- Senior Remote Bioinformatics Scientist
- Senior Bioinformatics Scientist
What job categories do people searching Data Annotation Biology jobs in Michigan look for? The top searched job categories for Data Annotation Biology jobs in Michigan are:
What cities in Michigan are hiring for Data Annotation Biology jobs? Cities in Michigan with the most Data Annotation Biology job openings:
Full-time
Posted 21 days ago
Thermo Fisher Scientific rating
7.7
Based on 419 frontline employees who took The Breakroom Quiz
200th of 535 rated manufacturers
Job description
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
R-01358811 Bioinformatics Content Manager
As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe, or helping find cures for cancer.
Discover Impactful Work
You will lead a team of variant scientists within the Clinical Next Generation Sequencing Division, providing scientific, operational, and people leadership to support the development and maintenance of genomic knowledge resources, variant interpretation frameworks, and clinical reporting solutions. In this role, you will oversee the evaluation, analysis, and synthesis of complex clinical and scientific evidence from primary literature, clinical guidelines, and clinical trials to support precision oncology applications. You will be accountable for ensuring the quality, consistency, and scalability of scientific curation and interpretation activities while aligning team priorities with organizational objectives.
As a people leader, you will recruit, develop, mentor, and retain a high-performing team of scientists, fostering a culture of scientific excellence, collaboration, continuous improvement, and accountability. You will partner closely with scientific, technical, clinical, product, and business stakeholders to define resource allocation, establish priorities, and deliver key organizational initiatives.
Success in this role requires deep expertise in cancer genomics and variant interpretation, strong leadership and organizational skills, and the ability to balance scientific rigor with operational execution and compliance in a fast-paced, cross-functional environment. The mission of this business unit is to develop next-generation sequencing-based solutions to support oncology research and other important unmet medical needs.
Location
This is a fully onsite role based in Ann Arbor, MI and relocation assistance is not provided.
A Day in the Life
Keys to Success
Education
PhD in cancer biology, cancer genomics, or molecular biology with expertise in solid/heme cancer genomics, tumor biology, signaling pathway, variant interpretation and NGS technologies. Post-doctoral experience is preferred.
Experience
Knowledge, Skills, Abilities
Other
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
R-01358811 Bioinformatics Content Manager
As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe, or helping find cures for cancer.
Discover Impactful Work
You will lead a team of variant scientists within the Clinical Next Generation Sequencing Division, providing scientific, operational, and people leadership to support the development and maintenance of genomic knowledge resources, variant interpretation frameworks, and clinical reporting solutions. In this role, you will oversee the evaluation, analysis, and synthesis of complex clinical and scientific evidence from primary literature, clinical guidelines, and clinical trials to support precision oncology applications. You will be accountable for ensuring the quality, consistency, and scalability of scientific curation and interpretation activities while aligning team priorities with organizational objectives.
As a people leader, you will recruit, develop, mentor, and retain a high-performing team of scientists, fostering a culture of scientific excellence, collaboration, continuous improvement, and accountability. You will partner closely with scientific, technical, clinical, product, and business stakeholders to define resource allocation, establish priorities, and deliver key organizational initiatives.
Success in this role requires deep expertise in cancer genomics and variant interpretation, strong leadership and organizational skills, and the ability to balance scientific rigor with operational execution and compliance in a fast-paced, cross-functional environment. The mission of this business unit is to develop next-generation sequencing-based solutions to support oncology research and other important unmet medical needs.
Location
This is a fully onsite role based in Ann Arbor, MI and relocation assistance is not provided.
A Day in the Life
- Oversee the interpretation, analysis, and summarization of clinical evidence to support somatic and germline variant annotation, classification, and reporting.
- Define and drive content prioritization strategies while managing team capacity, workload allocation, product initiatives, assay development activities, and operational commitments.
- Provide subject matter expertise throughout the assay development lifecycle, including requirements definition, evidence strategy, incorporation of clinical evidence and variant interpretation standards, validation support, and product launch activities.
- Partner with software product owners and engineering teams to optimize and deliver a user-centered scientific user experience of the research and clinical workflows.
- Collaborate across product, quality, regulatory, and clinical functions to deliver compliant, high-quality research use or regulated products.
- Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational efficiency, and organizational scalability.
- Lead and develop a high-performing team of scientists through talent acquisition, performance management, coaching, and career development.
- Monitor team performance, project progress, key deliverables, risks, and resource utilization, proactively implementing mitigation strategies to ensure successful execution.
- Collaborate with leadership to develop strategic roadmaps, organizational priorities, and long-term capability plans informed by customer, market, scientific, and industry trends.
- Foster a culture of accountability, inclusion, innovation, and continuous improvement.
Keys to Success
Education
PhD in cancer biology, cancer genomics, or molecular biology with expertise in solid/heme cancer genomics, tumor biology, signaling pathway, variant interpretation and NGS technologies. Post-doctoral experience is preferred.
Experience
- 4+ years of relevant experience; industry based experience in genomic variant curation and clinical interpretation for somatic and germline cancers preferred.
- Demonstrated people management experience is preferred.
- Proven ability to manage multiple priorities and resources in a dynamic environment.
- Proven ability to build effective partnerships and influence decision-making across scientific, technical, clinical, and business functions.
- Experience with regulatory submissions, assay development, or genetic counseling is a plus.
Knowledge, Skills, Abilities
- Excellent organizational, communication, and stakeholder management skills.
- Strong leadership, coaching, mentoring, and performance management skills.
- Experience driving continuous improvement and operational excellence initiatives.
- Strong strategic thinking, problem-solving, and decision-making skills.
- Commitment to fostering an inclusive, collaborative, and high-performance team culture.
Other
- Must be legally authorized to work in the United States without sponsorship now or in the future.
- Must be able to pass a comprehensive background check and drug screen.
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Benefits
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About Thermo Fisher Scientific
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
10,000+ Employees
Headquarters location
Waltham, MA, US
Year founded
1956