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Entry Level Biotech Data Analyst Jobs (NOW HIRING)

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Judit Inc

Data Analyst

Tallahassee, FL

The Data Analyst is responsible for the volume layer of the assessment: intaking entity responses ... entry-level hires. Trainable at kickoff. * Prior GRC, IT audit support, or data-QA experience in a ...

Collabera LLC

Entry Level Data Analyst

Orlando, FL · On-site

$21 - $22/hr

... data validation, grants management. * Intermediate proficiency with Office Suite (Word, Excel ... proofread and analyze reports from various database and software applications via products.

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Entry Level Biotech Data Analyst information

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$13

$32

$61

How much do entry level biotech data analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for entry level biotech data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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

AspectEntry Level Biotech Data AnalystEntry Level Bioinformatics Technician
Required CredentialsBachelor's in Biology, Bioinformatics, or related field; basic data analysis skillsBachelor's in Biology, Bioinformatics, or related field; familiarity with bioinformatics tools
Work EnvironmentLaboratories, research facilities, data analysis teamsLaboratories, computational environments, research settings
Employer & Industry UsageBiotech companies, pharmaceutical firms, research institutionsResearch labs, biotech firms, academic institutions

Entry Level Biotech Data Analysts focus on analyzing biological data using statistical tools, while Entry Level Bioinformatics Technicians assist with data processing and managing bioinformatics software. Both roles require similar educational backgrounds and are common in biotech and research settings, but Data Analysts emphasize data interpretation, whereas Technicians focus on data management and technical support.

More about Entry Level Biotech Data Analyst jobs
What cities are hiring for Entry Level Biotech Data Analyst jobs? Cities with the most Entry Level Biotech Data Analyst job openings:
What are the most commonly searched types of Biotech Data Analyst jobs? The most popular types of Biotech Data Analyst jobs are:
What states have the most Entry Level Biotech Data Analyst jobs? States with the most job openings for Entry Level Biotech Data Analyst jobs include:
What job categories do people searching Entry Level Biotech Data Analyst jobs look for? The top searched job categories for Entry Level Biotech Data Analyst jobs are:
Entry Level Biotech Data Analyst jobs near you
Infographic showing various Entry Level Biotech Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Business Data Analyst

Texas State Library and Archives Commision

Lexington, MA • On-site

Full-time

Re-posted 8 days ago

Job description

We are seeking a highly analytical and detail-oriented Business Data Analyst with expertise in
Biotech R&D data and applications. The ideal candidate will play a crucial role in transforming
complex data into actionable insights that support decision-making processes in biotech
research and development. This position requires a deep understanding of biotech R&D data,
bioinformatical sceinces, pharmacological sciences, and histology data and applications, and
the ability to translate business needs into data-driven solutions. The Business Data Analyst will
work closely with R&D, IT, and business teams to ensure that data is accurately captured,
analyzed, and utilized to drive innovation and efficiency.
Key Responsibilities:
o Work with IT and R&D teams to ensure accurate data collection, storage, and
integration across various platforms and applications.
o Work with Business Owners to analyze complex biotech R&D data and systems
and document requirements for new IT solutions.
o Work with Voyager IT and MSP partners to develop and maintain system
integrations, dashboards, reports, and visualizations to present data findings to
stakeholders.
o Work with Business Owners to understand statistical methods and data mining
techniques used to extract actionable insights from large datasets and implement
a Solution with help from Voyager IT and MSP partners.
o Implement and maintain data management processes, including data quality
checks, data cleansing, and data governance.
o Ensure that all data-related activities comply with Voyager standards
o Provide support and expertise in the use of bioinformatics and biotech R&D
applications, including LIMS, ELN, and data analysis tools.
o Collaborate with R&D teams to understand their data needs and optimize the use
of existing applications.
o Assist in the evaluation and implementation of new data tools and applications
that enhance research capabilities.
o Design and implement business intelligence solutions that align with R&D
objectives and business goals.
o Create and automate reports that track key performance indicators (KPIs)
relevant to biotech research.
o Conduct ad hoc analyses as required by business leaders and R&D teams.
o Serve as a liaison between R&D, IT, and business teams to ensure alignment on
data-related initiatives.
o Facilitate communication and understanding of data-driven insights among non-
technical stakeholders.
o Participate in cross-functional projects that involve data analysis and contribute
to strategic planning.

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