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57 Dataannotation Bioinformatics Scientist Jobs Hiring Near You

DataAnnotation

$40/hr

Candidates should have at least 2 years of experience in quantitative fields such as data science, economics, or statistics, alongside coding proficiency. Competitive hourly pay starting at $40 ...

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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.

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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.
Remote AI Trainer for Quantitative Bioinformatics

Remote AI Trainer for Quantitative Bioinformatics

DataAnnotation

Charleston, WV • Remote

$40/hr

Full-time

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

Job description

A leading AI development firm is seeking experienced quantitative professionals to evaluate AI-generated work and provide feedback to enhance AI systems. This flexible remote role allows you to select projects and work hours, starting at competitive pay of $40+ USD per hour. Applicants should have 2+ years of quantitative experience, coding skills, and a relevant degree in fields such as data science or statistics.

Join us to shape the future of AI with your analytical expertise. #J-18808-Ljbffr

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