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Remote Biotech Data Analyst Jobs in Dallas, TX (NOW HIRING)

Data Analyst

Dallas, TX ยท Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a Data Analyst at Orionyx Engineering Ltd. , you will play a pivotal role in transforming data into ...

Data Analyst

Plano, TX ยท On-site +1

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ...

BI/Data Analyst Location: Remote (TX, GA, ID, OR, SC, WA) Duration: 6+ Months Contract Interview Type: Video Required Skills: * Source to target mapping - process and documentation * Strong SQL ...

Data Privacy Analyst - Remote

Dallas, TX ยท Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

As a Data Analyst II, you will help drive the analysis behind company-wide decisions related to our ... Unless approved for full remote work, employees must spend at least 50% of their time in-office.

Be Seen First

Business Analyst - Data Annotator Location: Remote - United States Employment Type: Short-Term Contractor / Freelancer Engagement : Approximately 6-7 months (24-28 weeks) Start Date: September 4, ...

Be Seen First

Contractor / Remote Location: United States - Remote Experience: 0-3+ years, depending on ... The ideal candidate is comfortable working with data, researching business problems, analyzing ...

Overview The Epic Data Acquisition Analyst works with client health systems to extract clinical ... Position Location This is a remote-based position within the Continental US. Who We Are VytlOne is ...

Overview The Epic Data Acquisition Analyst works with client health systems to extract clinical ... Position Location This is a remote-based position within the Continental US. Who We Are VytlOne is ...

Data Verification Analyst

Dallas, TX ยท Remote

$13.38 - $23.42/hr

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Validate incoming data to the ... Ability to identify, analyze and solve problems * Basic computer proficiency, including familiarity ...

Data Verification Analyst

Dallas, TX ยท Remote

$13.38 - $23.42/hr

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Validate incoming data to the ... Ability to identify, analyze and solve problems * Basic computer proficiency, including familiarity ...

Media Analyst - Remote

Dallas, TX ยท On-site +1

$60K - $65K/yr

Collect, analyze, and interpret media performance data across digital and traditional media channels.This includes deep dives in to campaign performance to uncover trends, patterns, and optimization ...

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Remote Biotech Data Analyst information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

How much do remote biotech data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote biotech data analyst in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 per year, depending on experience, location, and employer.

What is a remote biotech data analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

How does a remote biotech data analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What are the key skills and qualifications needed to thrive as a remote biotech data analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What are the most commonly searched types of Biotech Data Analyst jobs in Dallas, TX?

The most popular types of Biotech Data Analyst jobs in Dallas, TX are:

What job categories do people searching Remote Biotech Data Analyst jobs in Dallas, TX look for?

The top searched job categories for Remote Biotech Data Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Biotech Data Analyst jobs?

Cities near Dallas, TX with the most Remote Biotech Data Analyst job openings:

Infographic showing various Remote Biotech Data Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $81,750 per year, or $39.3 per hour.

$23.50 - $30.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

About Us: With a team of experienced experts and a dedication to excellence, Orionyx Engineering Ltd. offers comprehensive services that guarantee the highest quality standards in every project. We are a leading firm that specializes in civil engineering, structural engineering, architectural services, surveying, and forensic analysis. Our mission is to deliver precise and innovative engineering solutions that improve infrastructure and support sustainable development.
This is a remote role strictly for candidates within the United States. 

Position Overview: As a Data Analyst at Orionyx Engineering Ltd., you will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across various engineering projects. You will collaborate with engineering teams, project managers, and stakeholders to analyze data trends, develop reports, and contribute to data-driven strategies that enhance operational efficiency and project outcomes.

Key Responsibilities:

  1. Data Collection and Management:
    • Gather and organize large sets of structured and unstructured data from various sources, including databases, spreadsheets, and project management tools.
    • Ensure data integrity and accuracy by implementing validation checks and cleansing processes.
  2. Data Analysis:
    • Utilize statistical methods and analytical techniques to interpret complex data sets related to engineering projects, performance metrics, and operational efficiency.
    • Identify trends, patterns, and anomalies in data to inform project planning and execution.
  3. Reporting and Visualization:
    • Create comprehensive reports, dashboards, and visualizations that communicate findings to stakeholders in an accessible manner.
    • Present data insights and recommendations to engineering teams, project managers, and executive leadership.
  4. Collaboration and Communication:
    • Work closely with engineering teams to understand their data needs and provide analytical support for ongoing projects.
    • Facilitate workshops and meetings to gather requirements and present findings, ensuring alignment with project goals.
  5. Predictive Modeling:
    • Develop predictive models to forecast project timelines, resource allocation, and potential risks based on historical data.
    • Collaborate with cross-functional teams to implement data-driven strategies that optimize project outcomes.
  6. Tool Development and Automation:
    • Identify opportunities for automation in data collection and reporting processes to enhance efficiency.
    • Develop and maintain analytical tools and databases to support ongoing data analysis efforts.
  7. Quality Assurance:
    • Conduct regular audits of data quality and reporting processes to ensure compliance with industry standards and best practices.
    • Provide training and support to team members on data analysis tools and methodologies.

Qualifications:

  • Education:
    • Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a related field. A masters degree is a plus.
  • Experience:
    • 2+ years of experience in data analysis, preferably within the engineering or construction industry.
    • Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar).
  • Technical Skills:
    • Proficiency in SQL for database management and querying.
    • Strong knowledge of Excel for data manipulation and analysis.
    • Familiarity with engineering software and tools (e.g., AutoCAD, Primavera) is a plus.
  • Soft Skills:
    • Excellent analytical and problem-solving skills.
    • Strong communication and presentation abilities to convey complex data insights to non-technical stakeholders.
    • Ability to work independently and collaboratively in a fast-paced environment.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional development and continuous learning.
  • A dynamic and inclusive work environment.
  • Involvement in innovative engineering projects that make a difference.

Job Types: Full-time

Pay: From $23.50 - $30.50 per hour

Schedule: Monday to Friday (8 hours daily)

Expected hours: 40 per week 

Benefits:

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off

Work Location: Remote 

Package Details

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off