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Clinical Data Scientist

Apple
Posted 2 months ago, valid for 19 days
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple's Biophotonics Group is seeking a scientist to analyze clinical datasets and contribute to the design and implementation of bio-sensing technologies.
  • The ideal candidate should have a BS degree in mathematics, science, or an engineering discipline, along with programming experience in MATLAB or Python for data analysis.
  • Applicants should have at least 3 years of industry experience and a preference for those with an MS or PhD degree in relevant fields.
  • Experience with data visualization, maintaining code repositories, and analyzing wearable biomedical sensor data is highly desirable.
  • The role offers the opportunity to work with dynamic teams and innovative technologies, with a competitive salary reflective of experience.
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, smart 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 passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.

Description


Apple’s Biophotonics Group is seeking a scientist for analysis of clinical datasets. The candidate will join a team of innovative scientists and engineers to design, validate, and implement the next generation of bio-sensing technologies. The ideal candidate will have experience with analysis and interpretation of multivariate and time-series datasets, optimizing data visualization for user-facing features in shipping products, and simulation of health-sensing data.

Minimum Qualifications


BS degree in mathematics, science, or an engineering discipline Programming experience in MATLAB or Python for data analysis Experience with data visualization and development of figures of merit to optimize end-user experience Experience with maintaining code repositories (Git) and analysis in secure cloud-based environments

Preferred Qualifications


3+ years of industry experience MS or PhD degree in mathematics, science or an engineering discipline Demonstrated experience analyzing/interpreting wearable biomedical sensor data from humans Experience with noise modeling, principles of error propagation, and their impacts on time-series data Interest and ability to learn principles of Biophotonics instrumentation Experience with multivariate analysis techniques such as PCA and linear regression Strong teamwork and communication skills


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