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Biomedical Data Analyst Jobs (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

This role sits at the intersection of data science, regulatory science, and biomedical research. Key Responsibilities: * Develop and execute analytical workflows to process, analyze, and interpret ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

This role sits at the intersection of data science, regulatory science, and biomedical research. Key Responsibilities: * Develop and execute analytical workflows to process, analyze, and interpret ...

Medical College of WI

Data Analyst Sr

Milwaukee, WI

$84K - $106K/yr

... new knowledge in the biomedical sciences; to provide cutting-edge, interdisciplinary and ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

Medical College of WI

Data Analyst Sr

Milwaukee, WI

$84K - $106K/yr

... new knowledge in the biomedical sciences; to provide cutting-edge, interdisciplinary and ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

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Biomedical Data Analyst information

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How much do biomedical data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for biomedical 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.

What are the key skills and qualifications needed to thrive in the Biomedical Data Analyst position, and why are they important?

To thrive as a Biomedical Data Analyst, you need a solid background in biological sciences, statistics, and data analysis, often supported by a bachelor's or master's degree in a relevant field. Expertise in programming languages like Python or R, experience with databases and statistical tools, and familiarity with healthcare data systems like EHRs are highly valuable, as are certifications such as SAS or data analytics credentials. Strong critical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies allow you to accurately analyze biomedical data, generate actionable insights, and support evidence-based decision-making in healthcare and research environments.

What are typical daily responsibilities for a Biomedical Data Analyst?

As a Biomedical Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing large sets of biological or healthcare data to identify patterns, trends, or correlations. You may work closely with clinicians, researchers, or IT specialists to define data requirements, create reports, and present findings in a clear, actionable format. Collaborating with cross-functional teams, developing predictive models, and ensuring data quality and security are also common aspects of the role. Most Biomedical Data Analysts work in a research, hospital, biotech, or academic environment where attention to detail and the ability to communicate technical information to non-technical stakeholders are important.

What is a Biomedical Data Analyst job?

A Biomedical Data Analyst is responsible for collecting, processing, and analyzing medical and biological data to derive insights that support research, clinical decision-making, and healthcare innovations. They work with large datasets, applying statistical and machine learning techniques to interpret complex biological information. These professionals collaborate with scientists, healthcare providers, and policymakers to enhance patient outcomes and streamline medical processes. Strong skills in data science, programming (e.g., Python, R), and domain knowledge in biology or medicine are essential for success in this role.

More about Biomedical Data Analyst jobs
What cities are hiring for Biomedical Data Analyst jobs? Cities with the most Biomedical Data Analyst job openings:
What are the most commonly searched types of Biomedical Data Analyst jobs? The most popular types of Biomedical Data Analyst jobs are:
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Biomedical Data Analyst jobs near you
Infographic showing various Biomedical Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Biomedical Data Science Engineer - Health Technologies

Biomedical Data Science Engineer - Health Technologies

Apple

San Diego, CA

$59.25 - $78.25/hr

Full-time

Posted 11 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Health Technologies Team conceives and proves out exciting new technology for Apple's future products and features. In this role, you can be involved in the end-to-end new product development cycle for health and wellness technologies, from product ideation and feasibility assessment to algorithm implementation and product validation. Join our team to create extraordinary features that represent the cutting edge of innovation in the dynamic consumer health field...
In this role, you'll collaborate with multidisciplinary teams to create innovative health products and features. As a biomedical data scientist, your responsibilities will include: -design and support of lab and human studies ranging from small scale pilot investigations to large scale sensor fusion studies-distill and interpret study findings to assess system performance and confounders-define and evaluate sensor feasibility criteria, including KPI development, mapping user experience requirements to sensor specifications-develop analysis tools to evaluate and interpret physiological time series sensor data-design, implement, and validate physiological models and algorithms-develop data visualization strategies for sharing complex data and study findings to influence project decisions and direction. The role requires effective collaboration with team members spanning a broad range of expertise and disciplines. Flexible thinking, adaptability to change, comfort with ambiguity, and ability to work both independently as well as in a team setting are hallmarks of success on our team.
MS in Biomedical engineering or other engineering discipline with relevant prior experience with time-series physiological sensors, devices, and applications.Must have a strong understanding of human physiology coupled with experience in the use of multi-sensor systems to measure, characterize, and analyze time-series physiological signals. Must have experience using Python to process, analyze, and visualize data. Must be facile with the corresponding Python tools (e.g., matplotlib, plotly, tableau, etc.). Must be highly organized and able to thrive in a fast-paced environment. Must have excellent communication skills.
PhD in Biomedical engineering or other engineering discipline with relevant prior experience.Experience with deep learning frameworks (e.g., PyTorch) including model training, loss function design, optimization, and cross-validation.Experience with statistical testing methods and their application to experimental data analysis.Experience with distributed processing frameworks (e.g., Spark, Dask) for large-scale data workflows.Experience with data management, organization, storage, and retrieval.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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