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How much do biomedical data science faculty jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for biomedical data science faculty in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

What are Biomedical Data Science Faculty?

Biomedical Data Science Faculty are academic professionals who teach, conduct research, and provide mentorship in the field of biomedical data science. Their work involves applying computational, statistical, and data-driven approaches to solve complex biological and medical problems. They often collaborate with scientists, clinicians, and other researchers to analyze large datasets, develop algorithms, and advance healthcare discoveries. These faculty members typically hold positions at universities or research institutions and contribute to the development of educational programs and research initiatives in biomedical data science.

What are the key skills and qualifications needed to thrive as a Biomedical Data Science Faculty, and why are they important?

To thrive as a Biomedical Data Science Faculty, you need a strong background in data science, statistics, and biological sciences, typically supported by a PhD or equivalent research experience. Expertise in programming languages (such as Python or R), machine learning platforms, and familiarity with high-throughput data analysis tools is essential, as is experience with research publication and grant writing. Excellent communication, collaboration, and mentoring abilities help foster student development and interdisciplinary research. These skills and qualities are vital for advancing scientific discovery, securing funding, and effectively educating the next generation of data scientists in biomedical research.

What are the main collaborative opportunities for a Biomedical Data Science Faculty member within a university setting?

Biomedical Data Science Faculty members frequently collaborate with colleagues across disciplines, including biology, medicine, computer science, and public health. These collaborations often involve joint research projects, co-supervision of graduate students, and interdisciplinary grant applications. Faculty members may contribute their expertise in data analysis and computational methods to support clinical research or large-scale biological studies, fostering an environment of innovation and shared discovery. Such collaboration not only enhances research impact but also provides valuable networking and professional growth opportunities.
Biomedical Data Science Engineer - Health Technologies

Biomedical Data Science Engineer - Health Technologies

Apple

San Diego, CA

$134K - $245K/yr

Full-time

Medical, Dental, Retirement

Posted 25 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 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.
Description
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.
Preferred Qualifications
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.
Minimum Qualifications
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.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,800 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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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