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Data Annotation Biology Jobs in Minnesota (NOW HIRING)

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Data Annotation Biology information

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.
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Data Annotation Biology jobs near you
Infographic showing various Data Annotation Biology job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 50% Full Time, 46% Part Time, 2% Contract, and 1% Nights. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.

Scientist, Microbiome Data Science & Bioinformatics

Ferring Pharmaceuticals

Roseville, MN • On-site

$115K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Description:
As a privately-owned, biopharmaceutical company, Ferring pioneers and delivers life-changing therapies that help people build families and live better lives. Our independence helps us cultivate an entrepreneurial spirit and long-term perspective that enables us to achieve growth and scale, while remaining agile and true to our 'people first' philosophy. Built on a 70-year plus commitment to science and research, Ferring is relentless in its pursuit of science that drives powerful discoveries and therapies to help people build families, stay healthy, and stand up to the world's oldest enemy: disease.
The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysis approaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement.
With Ferring, you will be joining a recognized leader, identified as one of "The World's Most Innovative Companies" by Fast Company, and honored by Fortune with inclusion on its "Change the World List," for addressing society's unmet needs. Ferring US is also Great Places to Work® Certified, distinguishing it as one of the best companies to work for in the country.
Responsibilities:
  • Lead qualitative and quantitative human microbiome research, including data mining, data analyses, and interpretation of findings from clinical trials and research studies that align with company goals
  • Create, curate and maintain datasets, databases and resources for annotation and use of complex omics data
  • Lead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiatives
  • Conceptualize, building, test, and benchmark gold standard and novel bioinformatic methods
  • Use and improve continuous deployment models, containerization, cloud computing, and agile practices
  • Independently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline management
  • Contribute to publications in peer-reviewed journals, as well as any methodological innovations
  • Effectively present and defend scientific work in the form of internal and external presentations
  • Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions
  • Continuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources

Requirements:
  • Advanced degree (e.g. MS or Ph.D.) in bioinformatics, genomics, biostatistics or related biological field
  • Minimum of one year of experience in the field of omics sciences, preferably the microbiome
  • Proficiency in developing, deploying, and running cloud-based bioinformatic workflows
  • Proven experience in Linux, AWS, coding in Python and R
  • Excellent writing, communication, and other organizational skills including documentation & data organization
  • Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omes

Ferring + you
At Ferring, we offer competitive total compensation along with an exceptional range of flexible benefits, personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work. From working hours that respect your lifestyle, a culture that is welcoming and equitable, and the chance to work with the industry's most impressive people, these are just some of the ways we live our "People First" philosophy.
Our Compensation and Benefits
At Ferring, base salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $115,000 to $152,000, which is the reasonable estimate of the base compensation for this role. The actual amount paid may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, education and primary work location. Additional compensation for this role will be provided based on competitive annual incentive compensation targets in the form of an annual bonus - payouts are based on individual and company performance.
Benefits for this role include comprehensive healthcare (medical, dental, and vision) with a premium differential, inverse to base salary, to be paid by employees, a 401k plan and company match, short and long-term disability coverage, basic life insurance, wellness benefits, reimbursement for certain tuition expenses, sick time of 1 hour per 30 hours worked, vacation time for full time employees to accrue up to 120 hours in the first four (4) years of employment, and 160 hours in the fifth (5th) year of employment as well as 15 paid holidays per year. We are proud to offer paid parental leave subject to a minimum period of employment at Ferring.
Ferring is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local laws.
Join our team and your voice will be heard, and your contributions will be valued. If you love to come up with new ways to make a positive difference and see them through, you will fit right in.
We are proud to be an Affirmative Action/Equal Opportunity Employer (including Disability/Protected Veterans). We maintain a drug-free workplace.
Location:
Roseville, Minnesota

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