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Freelance Biological Data Analyst Jobs (NOW HIRING)

Solomon Page

Data Analyst

Austin, TX · On-site

$40 - $50/hr

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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 ...

Alta Resource Technologies, Inc.

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

Partner with technical and project leads across process engineering, chemistry, biology, and ... Experience analyzing spectroscopy and spectrometry data. * Experience with common biological assays ...

Legend Biotech USA, Inc.

... data ... The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and ...

Yellowstone Forever

Biological Technician

Mammoth, WY · On-site

$24.41/hr

Biological Technician Location: Yellowstone National Park, Wyoming Reports To: Senior Wildlife ... data analysis, graphs and charts, results, and recommendations for planning, protection, and ...

Solomon Page

Data Analyst

Plano, TX · On-site

$38 - $48/hr

Data Analysis * Data Validation * Dashboard Development * Advanced Excel * Business Requirements ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

AtOrchard LLC

Benthic Biologist

Austin, TX · On-site

The successful candidate will apply expertise in benthic ecology, taxonomy, habitat characterization, and biological data analysis to support ocean exploration missions, scientific reporting, and ...

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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 Sep 14, 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 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 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 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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What states have the most Freelance Biological Data Analyst jobs?

States with the most job openings for Freelance Biological Data Analyst jobs include:

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Freelance Biological Data Analyst jobs near you
Infographic showing various Freelance Biological Data Analyst job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $77,654 per year, or $37.3 per hour.

Scientist/Sr. Scientist, Bioinformatics Data

Somerset, NJ • Hybrid

Legend Biotech US
Biotechnology Research and Development • 1 - 5K employees
Learn more about Legend Biotech USexternal

Full-time

Re-posted 2 hours ago

Legend Biotech rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.

Role Overview

We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data.The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.

Key Responsibilities 

  • Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
  • Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
  • Perform quality control, normalization, and batch-correction across heterogeneous datasets.
  • Design, optimize, and maintain robust, scalable bioinformatics pipelines.
  • Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
  • Procure and integrate existing biological databases with internal datasets.
  • Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
  • Collaborate with IT and other functional groups.

Requirements

  • Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
  • Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
  • Ability to turn raw biological data into structured insights.
  • Strong experience with AI application in data science.
  • Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
  • Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
  • A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
  • Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
  • Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
  • Creative, innovative and excellent communication and presentation skills.
  • This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.

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