Python Job: A Machine Learning-based framework for digital bio

Questions to be solved

How could we build a generic framework which could be utilised in digital biomarkers discovery, missingness, compliance and prognostic disease modeling. How to best exploit digital biomarkers (coming from wearables) and electronic patient reported outcomes (coming from surveys) for disease prediction.

General Background

Digital health is being rapidly adopted all over the world due to rise in healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health (mHealth) and wearable technology. Data from Biometric Monitoring Technologies (BioMeTs), including mHealth and wearables, can be transformed into digital biomarkers that act as indicators of health outcomes and can be used to diagnose and monitor a number of chronic diseases and conditions.

At Roche we are at the forefront of deploying Digital Health strategies to enable utilization of digital biomarkers and patient surveys data for building preventative care solutions in the areas of epidemiology, endometriosis, neurodegenerative and infectious diseases etc. We collect structured data as part of running clinical trials in various clinical case studies. The data consists of physiological signals, vital signs information along with ePROs (electronic patient reported outcomes). These data are collected through wearable devices (Fitbit, Garmin, Empatica_E4 etc) and other mHealth platforms. The collated data is then used to answer specific clinical questions around symptom onset and prediction of various clinical conditions. We are interested in building a generic machine learning driven platform for digital biomarkers discovery and compliance analysis to build disease-specific prognostic models.

Required Skills

• You are currently enrolled as a Master or PhD student or have recently graduated your Bachelor degree (within the last 12 months)

• Self starter with R&D mindset, solving complex machine learning problems

• Experienced programmer in R or Python

• Experience in building machine learning driven platforms

• Experience in time series data analysis

• Completed or in the process of acquiring a degree in Data Science/ quantitative field

• Experience in end to end service development (Python libraries) for end users

To be submitted with your application

Together with your application, please formulate your ideas on how to tackle this challenge explained in section “Question to be solved” above. Present a short and concise slide deck (3-6 slides) to elaborate on your proposed approach. Ensure that the proposed methodology is driven by state of the art/literature review.

We don't expect a ready made solution but rather are interested in your methodology design and your approach towards solving the problem. We are looking forward to seeing your ideas and discussing your findings.

Due to regulations non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents.

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche Kaiseraugst is a cornerstone of Roche's global production and logistics network. It employs some 1900 people out of the 10,700 employees at our Basel/Kaiseraugst site and is Roche's largest and most innovative packaging facility worldwide. Read more.

Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.

We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.

Roche is an Equal Opportunity Employer.