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Biotech Data Analyst Jobs in Boston, MA (NOW HIRING)

Business Analyst

Boston, MA ยท On-site

$65 - $70/mo

Biopharmaceutical or biotechnology experience * Pharma Commercials experience * Ability to collaborate with business product owners and users to understand data and analytics requirements for ...

Business Analyst - Pharma

Boston, MA ยท On-site

$65 - $70/wk

Bio-pharmaceutical or biotechnology experience * Pharma Commercials experience * Ability to collaborate with business product owners and users to understand data and analytics requirements for ...

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Showing results 1-20

Biotech Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do biotech data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for biotech data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a biotech data analyst in biotechnology?

A biotech data analyst in biotechnology is a professional who collects, processes, and interprets biological data to support research and development. They often use statistical tools, programming languages like R or Python, and laboratory data to identify trends, optimize processes, and inform decision-making in biotech companies or research institutions.

How to become a biotech data analyst?

To become a biotech data analyst, typically a bachelor's degree in biology, data science, statistics, or a related field is required. Developing skills in data analysis tools such as R, Python, or SQL, along with understanding biological concepts and gaining experience through internships or projects, can improve job prospects. Some roles may also require knowledge of laboratory processes or biotech software platforms.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Biotech Data Analyst?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

What are the most commonly searched types of Biotech Data Analyst jobs in Boston, MA? The most popular types of Biotech Data Analyst jobs in Boston, MA are:
What are popular job titles related to Biotech Data Analyst jobs in Boston, MA? For Biotech Data Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Biotech Data Analyst jobs in Boston, MA look for? The top searched job categories for Biotech Data Analyst jobs in Boston, MA are:
What cities near Boston, MA are hiring for Biotech Data Analyst jobs? Cities near Boston, MA with the most Biotech Data Analyst job openings:
Infographic showing various Biotech Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Full-time

Re-posted 10 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.