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Entry Level Biotech Data Analyst Jobs (NOW HIRING)

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.

... biotechnology and medicine, environmental and occupational health, and health care policy and aging ... The Data Analyst works with investigators and other research team members to carry out a range of ...

Job#: 3041091 Data Analyst I - Asset Data Management Position Overview We are seeking an entry-level Data Analyst to support enterprise asset data management initiatives. This role will focus on ...

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Data Analyst

Des Plaines, IL · On-site

$22 - $26/hr

This role is an entry level role for candidates looking to build a career in data analytics. The Data Analyst will work closely with operations, production, supply chain, quality, and finance teams ...

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Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... This entry-level role is ideal for a recent graduate with strong technical skills who can ...

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 ...

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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 Jul 20, 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:
Infographic showing various Entry Level Biotech Data Analyst job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 14% Part Time, 4% Temporary, and 10% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Full-time

Posted 18 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.