Clinical Data Scientist

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.

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.

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

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