ZipRecruiter

Log In

1

Scientific Data Analyst Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Data Analyst

... Data Science, Engineering, Product and several other teams. We are looking for a data analyst who ... shares our passion for helping make apps and products reliable and safe. The right candidate will ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

... Data Science, Engineering, Product and several other teams. We are looking for a data analyst who ... shares our passion for helping make apps and products reliable and safe. The right candidate will ...

Blackstone Talent Group

Scientific Data Curator

San Mateo, CA · On-site

$67K - $67K/yr

Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel ... scientific and data-oriented conversations. Occasional visits to the lab to observe assay setups or ...

Community Council of Nashua, Inc.

Data Analyst

Nashua, NH · On-site

$54K - $83K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or related field required; Master's preferred. * 3-5 years of experience in data analysis or related role. * Proficiency ...

Greater Nashua Mental Health

Data Analyst

Nashua, NH

$54K - $83K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or related field required; Master's preferred. * 3-5 years of experience in data analysis or related role. * Proficiency ...

Blackstone Talent Group

Scientific Data Curator

Fremont, CA · On-site

$64K - $65K/yr

Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel ... scientific and data-oriented conversations. Occasional visits to the lab to observe assay setups or ...

Blackstone Talent Group

Scientific Data Curator

Sunnyvale, CA · On-site

$70K - $70K/yr

Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel ... scientific and data-oriented conversations. Occasional visits to the lab to observe assay setups or ...

TetraScience

Scientific Data Architect- Central US

Chicago, IL · On-site

$65.75 - $84.50/hr

Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. * Engaged diverse audiences, from scientists to executive stakeholders ...

Blackstone Talent Group

Scientific Data Curator

Alameda, CA · On-site

$68K - $69K/yr

Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel ... scientific and data-oriented conversations. Occasional visits to the lab to observe assay setups or ...

Blackstone Talent Group

Scientific Data Curator

San Jose, CA · On-site

$69K - $69K/yr

Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel ... scientific and data-oriented conversations. Occasional visits to the lab to observe assay setups or ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

next page

Showing results 1-20

All JobsScientific Data Analyst Jobs

Scientific Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do scientific data analyst jobs pay per year?

As of Jun 27, 2026, the average yearly pay for scientific data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Scientific Data Analyst typically collaborate with research teams and subject matter experts?

Scientific Data Analysts frequently work alongside researchers, lab technicians, and subject matter experts to interpret complex data sets and extract actionable insights. Collaboration often involves participating in project meetings to understand experimental goals, sharing preliminary analyses, and refining data collection or processing methods based on feedback. Strong communication skills are essential, as analysts must translate statistical findings into clear, meaningful recommendations for non-technical stakeholders. This teamwork ensures that data-driven decisions are closely aligned with scientific objectives and enhances the overall quality of research outcomes.

What are the key skills and qualifications needed to thrive as a Scientific Data Analyst, and why are they important?

To thrive as a Scientific Data Analyst, you need a background in statistics, data science, and scientific research, usually supported by a degree in a quantitative field. Proficiency with statistical software (such as R, Python, or SAS), data visualization tools, and experience with databases are commonly required, along with knowledge of industry-specific data standards. Strong analytical thinking, attention to detail, and effective communication skills help convey complex findings to non-technical stakeholders. These skills and qualities ensure accurate data interpretation, reliable research outcomes, and meaningful contributions to scientific projects.

What jobs in the US pay 300,000 a year?

For a Scientific Data Analyst, earning $300,000 annually typically requires extensive experience, advanced skills in data modeling and statistical analysis, and often a role in high-paying industries such as finance, technology, or pharmaceuticals. Positions at this level may include senior or lead roles, data science directors, or specialized consultants, often with additional certifications or advanced degrees. Compensation varies based on location, company size, and individual expertise.

What is a scientific data analyst?

A scientific data analyst is a professional who collects, processes, and interprets data from scientific research or experiments. They often use statistical tools, programming languages like Python or R, and data visualization software to support scientific conclusions and decision-making.

Is 40 too late for data science?

A Scientific Data Analyst can start a career in data science at any age, including 40, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R. Age is less important than your ability to develop expertise and adapt to evolving technologies in the field.

What are scientific data analysts?

Scientific data analysts are professionals who collect, process, and interpret large sets of scientific data to help researchers, organizations, or institutions make data-driven decisions. They often use statistical tools, programming languages, and data visualization techniques to analyze complex datasets from experiments or studies. Their insights support scientific research, improve processes, and enable more accurate results in fields such as biology, chemistry, environmental science, and healthcare.

Is AI replacing data analysts?

AI is transforming the role of scientific data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on complex interpretation and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for designing analyses, validating results, and providing context. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.
More about Scientific Data Analyst jobs
What cities are hiring for Scientific Data Analyst jobs? Cities with the most Scientific Data Analyst job openings:
What states have the most Scientific Data Analyst jobs? States with the most job openings for Scientific Data Analyst jobs include:
What job categories do people searching Scientific Data Analyst jobs look for? The top searched job categories for Scientific Data Analyst jobs are:
Scientific Data Analyst jobs near you
Infographic showing various Scientific Data Analyst job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 12% Part Time, 6% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 14 days ago

Job description

Job Description: Data Analyst
Remote
Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, Data Science, Engineering, Product and several other teams.
We are looking for a data analyst who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.
Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience measuring the performance of AI models
Experience with ETL pipeline development.

Apply