Health Research Analytics Engineer

Summary

Posted: Oct 18, 2024
Weekly Hours: 40
Role Number:200556970

Join us in the Health Data Science group at Apple, to help us drive forward the research that will shape upcoming products and further our understanding of human health. Our data team works closely with fellow engineers, data scientists, and a variety of other teams to build best-in-class data platforms for AI/ML that adhere to Apple’s highest principles of privacy and security. These platforms support various health research endeavors, including the studies found in the Apple Research app. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly, and making the kind of impact that changes people's lives. We are seeking an energetic and dedicated analytics engineer to analyze data and extract insights needed across the organization with the purpose of improving the platforms used for health research and development. This includes the data collected from the Apple Research app. The longitudinal research studies we launched are helping Apple improve existing health experiences with our products, as well as create new ones. As a member of our fast-paced group in Apple's Health Research Applications, you will have the unique and rewarding opportunity to shape the systems that allow our products to delight and inspire millions of Apple’s customers every day.

Description

You will be at the forefront of using data to validate, improve, and shape the direction of a best-in-class platform for doing health research. The position requires a self-motivated engineer with strong technical and communication skills to handle responsibilities including: - Analyze large amounts of data to extract useful insights the organization needs. - Create reports for a variety of use cases. - Identify new analytic projects or enhancements to existing ones. - Update existing data model to better serve analysis needs. - Support data consumers by answering questions or providing guidance. - Influence the evolution of the data platform.

Minimum Qualifications

• 3+ years of industry experience.
• SQL and data modeling skills.
• Programming skills in one of Python, Scala, or Java.
• BS degree in Computer Science or related field, or equivalent work experience.

Preferred Qualifications

• Experience with big data technologies (e.g. Hadoop, Spark), data warehouses (e.g. Redshift, Snowflake), and modern orchestration tools (e.g. Airflow, Oozie).
• Interpersonal skills and ability to work well with engineers, QA, data scientists, clinical staff, and others.
• Analytical skills (including handling ambiguity and presenting results).

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 $143,100 and $264,200, 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.
  

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.