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Student Software Engineer (Android & Wearables) - NewKnee Study

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München
EUR 80.000 - 100.000
Jobbeschreibung

Student Software Engineer (Android & Wearables) - NewKnee Study

Help bring our iOS research app to Android & wearable technology and build a secure, encrypted data pipeline for clinical studies. Join an interdisciplinary team to ship privacy-first features that improve patient outcomes.

Student Software Engineer (Android & Wearables) — NewKnee Study (Part-time)

About the project

NewKnee is a clinical research app that collects retrospective and prospective mobility data (e.g., step count, gait speed, stride length, gait asymmetry) and routinely gathers PROMs and functional tests to enable outcome prediction for patients with knee osteoarthritis and knee joint endoprosthesis.

The role

We’re looking for a student developer to extend our existing iOS prototype to Android, add wearable / smartwatch support, and build the secure cloud interface to our internal systems so that encrypted study data can be analyzed by our research team.

What you’ll do

  • Re-implement the current iOS app’s features on Android including background activity sensing, scheduled tests, and questionnaires.
  • Integrate sensors & activity APIs to mirror current Apple Watch functionality for eligible participants.
  • Implement onboarding and consent flows tailored to study participants.
  • Design and implement an encrypted data pipeline: secure local storage, authenticated transfer (TLS), and a robust API / ETL interface from our cloud to internal analytics systems.
  • Schedule and deliver recurring PROMs and functional tests (e.g., weekly gait & ROM; KOOS / SF-36 every three weeks) with reliable notifications and offline-first behavior.

What you’ll bring

  • Enrolled student in Computer Science, Electrical / Software Engineering, Biomedical Engineering, or similar.
  • Android development experience (Kotlin / Java), Android Jetpack, coroutines, and common architecture patterns (MVVM / Clean).
  • Hands‑on with RESTful APIs, JSON, and authentication (OAuth2 / OpenID Connect); comfort with cryptography basics and secure data handling (at rest & in transit).
  • Wear OS development or strong interest in wearable sensor integrations.
  • Git proficiency and good documentation habits; solid English communication.

Nice to have

  • Experience with Google Health Connect / Google Fit or medical / health apps.
  • Background in iOS / Swift (HealthKit / ResearchKit) to understand feature parity with the existing app.
  • Familiarity with PROMs and digital mobility outcomes (e.g., KOOS, SF-36, gait metrics).
  • Basic data engineering / ETL or ML pipeline exposure.

What we offer

  • High-impact work at the intersection of mobile, wearables, and clinical research.
  • Flexible part‑time hours (e.g., 10–20 h / week), hybrid working, mentorship from clinicians and computer scientists.
  • Opportunity to co‑author methods / engineering notes in study outputs where appropriate.

Target users & context

The app serves patients with knee osteoarthritis or after implantation of a knee endoprosthesis; the current cohort uses iPhone and optionally Apple Watch—your mission is to bring these capabilities to Android.

How to apply

Send a short email with your CV / portfolio and a few lines about relevant projects (Android, Wear OS, security / crypto, health apps) to (subject : “Student Software Engineer — Android”).