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Entry Level Remote Bioinformatics Scientist Jobs

micro1 AI

AI Training Specialist - Life Sciences

Reno, NV · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

micro1 AI

AI Training Specialist - Life Sciences

Tampa, FL · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

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How much do entry level remote bioinformatics scientist jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for entry level remote bioinformatics scientist in the United States is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $62.50 per hour, depending on experience, location, and employer.

What does an entry level remote bioinformatics scientist do?

An Entry Level Remote Bioinformatics Scientist uses computational tools and software to analyze biological data, such as DNA, RNA, or protein sequences, from a remote location. They assist in interpreting large datasets, developing algorithms, and supporting research in fields like genomics, drug discovery, or medical diagnostics. Typical tasks include cleaning and organizing data, running analyses, generating reports, and collaborating with other scientists, often as part of a virtual team.

What are the key skills and qualifications needed to thrive as an entry level remote bioinformatics scientist?

To thrive as an Entry Level Remote Bioinformatics Scientist, you need a solid background in biology, statistics, and computer science, usually supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, R, Python, and databases like GenBank, as well as experience with cloud computing platforms, are typically expected. Analytical thinking, attention to detail, and effective remote communication skills set candidates apart in collaborative and data-driven environments. These competencies are crucial for accurately analyzing biological data, contributing to research projects, and working efficiently within distributed teams.

What are some typical challenges faced by entry level remote bioinformatics scientists, and how can they be addressed?

Entry level remote bioinformatics scientists often encounter challenges related to effective communication and collaboration with team members, especially when working across different time zones. Additionally, getting accustomed to complex data analysis pipelines and various bioinformatics tools can be overwhelming at first. To address these challenges, it's helpful to proactively schedule regular check-ins with mentors and colleagues, utilize collaborative project management tools, and take advantage of online training resources. Building a strong routine for self-directed learning and documentation will also make it easier to adapt and grow in the remote work environment.

What is the difference between Entry Level Remote Bioinformatics Scientist vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Bioinformatics ScientistEntry Level Remote Data Analyst
Required CredentialsBachelor's in Bioinformatics, Biology, or related field; familiarity with bioinformatics toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, collaborative with research teams, often in biotech or healthcare industriesRemote, working with datasets across various industries like finance, marketing, or healthcare
Employer & Industry UsageBiotech companies, research institutions, pharmaceutical firmsTech companies, consulting firms, healthcare organizations

While both roles involve data analysis skills, the Entry Level Remote Bioinformatics Scientist focuses on biological data and genomics, requiring specific bioinformatics knowledge. In contrast, the Entry Level Remote Data Analyst handles diverse datasets across industries. Both roles are remote and entry-level, but they serve different industry needs and require distinct domain expertise.

Are entry level remote bioinformatics scientists in demand?

Entry level remote bioinformatics scientists are in increasing demand due to the growth of personalized medicine, genomics research, and data-driven healthcare. Employers seek candidates with skills in programming, statistical analysis, and familiarity with tools like R and Python, often requiring a bachelor's or master's degree in a related field. Remote positions are expanding as companies prioritize flexible work arrangements in the biotech and healthcare sectors.

Is it hard to get a job in bioinformatics?

Securing an entry-level remote bioinformatics scientist position can be competitive, as it often requires a strong foundation in biology, programming skills, and familiarity with tools like Python, R, or Linux. Candidates with relevant internships, certifications, or research experience tend to have better prospects in this field.
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Entry Level Remote Bioinformatics Scientist jobs near you
Infographic showing various Entry Level Remote Bioinformatics Scientist job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, 13% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,966 per year, or $54.8 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Anchorage, AK • Remote

$90 - $120/hr

Part-time

Posted 20 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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