Thesis work: Wearable sensor Analytics - AstraZeneca.

Details

Contact:
Kerstin Karlsson, 
kerstin.karlsson@randstad.se
Application deadline:
2019-12-08
Job type:
full time
Type of employment:
Contract
City:
Västra Götalands län, 
Mölndal kommun
Category:
Life Science
Position:
Läkemedel, bioteknik & medicinteknik

Job description.

Replacing Site-Based Exercise Tests with Wearable Activity Monitors
Master Thesis: 30 credits

key words: Wearables in Clinical Trials, Accelerometery, Exercise Test, Digital Health.

Are you passionate about data science and machine learning and want to apply these skills to impact our digital health strategy? In this project you will model data collected from wearable devices to make predictions of patient clinical outcomes.   
You will be working in the data science team supporting digital health implementation, a part of the Data Science & Artificial Intelligence (DS&AI) R&D organisation playing a key role in getting medicines to patients


At AstraZeneca we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

responsibilities.

Currently, the great majority of clinical trials data is recorded at the clinic. Moving measurements outside the clinic promises improvements in patient availability and enrolment as well as reducing patient drop out. This would also lead to significantly more cost-effective trials. Further, the use of wearable activity track monitors and physiological measurements devices offer improved patient monitoring. This way the full movie of the patient status is recorded instead of just few photos taken at hospital visits. To advance in the integration of wearables in clinical trials we need to understand how to interpret their data from a clinical perspective and understand how sensor steams correspond to established measures performed on-site.

The candidate would be modelling physical activity (PA), measured through wearable sensors, and patient reported outcomes (PRO) data in order to predict functional capacity of patients, as measured by cycle endurance test at the clinic. More specifically, the candidate will implement longitudinal data pipelines and supervised machine learning models using hourly summaries of physical activity derived metrics, as well as patients’ electronic questionnaires data. This work is a post-hoc analysis of the ACTIVATE trial.

ACTIVATE is a Phase IV, 8-week, randomized, double-blind, placebo-controlled clinical trial to evaluate the effect of aclidinium/formoterol on hyperinflation, exercise capacity, and physical activity in patients with Chronic obstructive pulmonary disease (COPD). It is a multicentre trial with 267 randomized patients. 
The project will be supervised in a data science team supporting digital implementation in R&D at AstraZeneca.

qualifications.

Essential Requirements
• Master in Science in relevant area (data science, computer science, physics…)
• Experience with coding (e.g. Python, R or similar)
• Experience implementing supervised machine learning

Desirable Requirements
• Experience with mobile/digital health
• Data visualisation skills
• Data wrangling
• Experience working with longitudinal data
• Experience working with clinical data

application.

Deadline for application: 2019-12-08, selection and interviews will be ongoing. The position may be filled before the last day of application, therefore, apply as soon as possible.

For more information: Kerstin Karlsson kerstin.karlsson@randstad.se or Eleonor Ehrman +4673-343 41 09.

about AstraZeneca.

At AstraZeneca we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.

https://www.astrazeneca.se/