DataAnnotation
DataAnnotation

57 Dataannotation Bioinformatics Scientist Jobs Hiring Near You

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

$40/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ...

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DataAnnotation Jobs Information

What are the key skills and qualifications needed to thrive as a Bioinformatics Scientist, and why are they important?

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

How do Bioinformatics Scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

What is a Bioinformatics Scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

Infographic showing various Bioinformatics Scientist job openings at Dataannotation in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Bioinformatician - AI Trainer

Bioinformatician - AI Trainer

DataAnnotation

Bismarck, ND • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr