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Freelance Biological Data Analyst Jobs (NOW HIRING)

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even possible. Enthusiasm and independent ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even possible. Enthusiasm and independent ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site

$150K - $200K/yr

They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even possible. Enthusiasm and independent ...

MIT Human Resources

Data Analyst 2, SRS

Cambridge, MA · On-site

DATA ANALYST, SRS, COMPUTATIONAL BIOLOGIST, Computer Science and Artificial Intelligence Laboratory (CSAIL) -Computational Biology Group, to work at the interface of computational and experimental ...

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Freelance Biological Data Analyst information

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How much do freelance biological data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for freelance biological data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $38.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Biological Data Analyst, and why are they important?

To thrive as a Freelance Biological Data Analyst, you need a solid background in biology or bioinformatics, strong data analysis skills, and typically at least a bachelor's degree in a life science or related field. Proficiency with tools like R, Python, SQL, and specialized platforms such as Bioconductor or BLAST, as well as experience with data visualization software, is highly valuable. Strong communication, self-motivation, and problem-solving abilities help you manage projects independently and convey complex findings to diverse clients. These skills ensure high-quality data interpretation, effective client collaboration, and successful project outcomes in a competitive freelance environment.

What are some common challenges faced by freelance biological data analysts when working with multiple clients?

Freelance biological data analysts often juggle projects from various clients, which can lead to challenges such as managing different data formats, adhering to diverse project timelines, and adapting to various communication styles. It’s important to be highly organized and proactive in clarifying project requirements, as clients may have unique expectations for data visualization, reporting, and analysis methods. Building strong communication skills and maintaining clear documentation can help ensure successful collaborations and repeat business.

What is a Freelance Biological Data Analyst?

A Freelance Biological Data Analyst is a professional who works independently to analyze and interpret biological data for clients, such as research institutions, biotechnology companies, or academic groups. They use statistical tools, programming languages like R or Python, and specialized software to process large datasets from experiments such as genomics, proteomics, or clinical trials. Their tasks often involve data cleaning, statistical modeling, visualization, and deriving meaningful insights to support scientific research or product development. Since they work freelance, they typically manage multiple projects and clients, providing flexibility and diversity in their work. This role requires strong analytical skills, domain knowledge in biology, and effective communication to present findings to non-experts.

What is the difference between Freelance Biological Data Analyst vs Biological Data Scientist?

AspectFreelance Biological Data AnalystBiological Data Scientist
CredentialsBachelor's or Master's in Biology, Bioinformatics, or related fieldsMaster's or Ph.D. in Data Science, Bioinformatics, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteResearch labs, biotech companies, or academia, often full-time
Employer & IndustryClients in biotech, pharma, research institutionsResearch organizations, biotech firms, healthcare companies
Search & Comparison IntentFreelance Biological Data Analyst vs Biological Data Scientist

The main difference lies in their work setup and experience level. Freelance Biological Data Analysts typically work independently on specific projects, often with a bachelor's or master's degree. Biological Data Scientists usually hold advanced degrees and work full-time within organizations. Both roles require strong analytical skills, but their employment context and scope differ significantly.

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Freelance Biological Data Analyst jobs near you
Senior Data Scientist, Biology

Senior Data Scientist, Biology

Eikon Therapeutics

Millbrae, CA

$178K - $215K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Position 

We are seeking an accomplished and forward-thinking Senior Data Science, Biology to join our dynamic team. As a Senior Data Science, Biology, you will lead the analysis and interpretation of complex biological data, leveraging advanced computational techniques to drive critical insights for our biotech research and development initiatives. 

About You  

The ideal candidate is passionate about harnessing the latest advances in AI including large language models (LLMs), multi-agent systems, and retrieval-augmented generation (RAG) to unlock insights from biological data. They bring deep proficiency in Python and a track record of building agentic workflows that automate complex, multi-step analytical tasks. They have extensive experience with genomics, transcriptomics, proteomics, and multi-omics data, and are excited to apply modern AI paradigms to these domains. Their strong foundation in bioinformatics is complemented by hands-on experience with AI frameworks and tools, allowing them to bridge the gap between biological science and cutting-edge AI engineering.

What You'll Do 

  • Lead and collaborate with interdisciplinary teams to analyze and interpret diverse biological data sets, including genomics, proteomics, and multi-omics data.
  • Apply cutting-edge AI and machine learning techniques including LLMs, deep learning, and foundation models to extract meaningful patterns and actionable insights from complex biological data.
  • Design and implement agentic AI workflows that orchestrate multiple AI models and tools to autonomously analyze biological pathways, interactions, and phenomena.
  • Contribute to experimental design, generating high-quality data for analysis, modeling, and hypothesis testing.
  • Integrate and harmonize disparate data sources to provide comprehensive insights and support research projects.
  • Develop and optimize agentic AI pipelines that automate multi-step biological data analysis tasks, enabling reproducible, high-throughput processing at scale.
  • Communicate technical findings and insights effectively to both technical and non-technical stakeholders.
  • Stay at the forefront of AI research including advances in LLMs, agentic systems, and multimodal models and rapidly translate these innovations into biological data analysis applications.

Qualifications 

  • Bachelor's degree with 5+ years of experience or a Master's degree with 3+ years of experience in Bioinformatics, Computational Biology, Biostatistics, or a related field or a PhD without experience.
  • Proficiency in programming languages such as Python, R, or similar languages commonly used in biological data analysis.
  • Hands-on experience building and deploying AI systems, including LLMs, agentic workflows, and multi-agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar).
  • Demonstrated expertise in analyzing and interpreting complex biological data sets, including genomics, transcriptomics, proteomics, and more.
  • Strong familiarity with bioinformatics tools, databases, and resources for data integration and analysis.
  • Excellent communication and collaboration skills, enabling effective teamwork and technical communication.
  • Detail-oriented mindset with exceptional problem-solving skills in analyzing intricate biological data.
  • Genuine enthusiasm for applying the latest AI breakthroughs agentic AI, LLMs, and autonomous pipelines to solve open problems in biological data science.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:

  • 401k plan with company matching
  • Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)
  • Mental health and wellness benefits
  • Weeklong summer and winter holiday shutdowns
  • Generous paid time off and holiday policies
  • Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies
  • Enhanced parental leave benefit
  • Daily subsidized lunch program when on-site

The expected salary range for this role is $178,000 to $215,250 depending on skills, competency, and the market demand for your expertise.

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