Digital Biomarker Machine Learning Scientist

Digital Biomarker Machine Learning Scientist – achine learning frameworks such as PyTorch or
TensorFlow, Python, R, Matlab

Role:
For our client in the Pharma industry based in Basel we are looking for a Digital Biomarker Machine
Learning Scientist.

Roche’s Pharma Research and Early Development Informatics team is the bridge between digital
technology and science. We help drive medical innovation and are integral to the realization of truly
Personalized Healthcare and the development of innovative treatments for our patients.

Digital tools, such as smartphones or wearables, can now continually measure and collect vital health
information – or “Digital Biomarkers”. Digital Biomarkers are changing how future medicines will be
developed and could lead to more personalized use of new medications that will transform the lives of
patients. Advances in wearable devices, such as phones, watches, textiles or delivery devices, which track
a patient’s vital signs and monitor for symptoms, all have the potential to vastly accelerate clinical
development. We use cutting-edge machine learning techniques and data science tools to better
understand the space of digital features and how it can inform our understanding of disease processes.

The perfect candidate: To help us fulfil our mission, we are looking for a motivated and skilled machine
learning scientist to join our team. We welcome applicants from a diverse range of backgrounds. Part
time work up to 60% is also possible.

Areas of responsibility:
* Build research-grade deep learning models for human activity recognition, anomalous behavior
detection and clinical outcome prediction, to apply to highly complex sensor data from smartphones,
wearables and other devices in clinical studies.
* Identify relevant recent advances in statistical and/or machine learning methods for longitudinal, high
dimensional and sensor data, and adapt them for our analysis needs.
* Participate in the implementation and deployment of production-level deep learning models for our
data processing pipelines.
* Support analyses that help establish the biological, clinical and patient relevance of sensor data
collected in clinical studies.
* Drive the understanding of the output of machine learning models by clinical development programs
through the development of compelling narratives and presentations.
* Contribute to manuscripts for peer-reviewed journal articles to communicate our methodological
advances, as well as establish the biological, clinical and patient relevance of data collected in novel digital
biomarker approaches.

Professional and technical requirements:
* PhD or Masters level degree in machine learning, mathematics, statistics, engineering, natural science
or informatics
* Min. 3+ years of experience as a machine learning scientist building deep learning solutions in a
research environment
* Hands-on experience with common machine learning frameworks such as PyTorch or TensorFlow
* Excellent understanding of common machine learning concepts (datasets splitting build/validation,
cross validation, overfitting, etc.)
* Deep understanding of theoretical underpinnings of relevant methods, such deep learning architectures
(ConvNets, Transformers, LSTMs), optimization or evaluation
* Facility in Python, R, Matlab or similar software packages/languages
* Highly efficient user of MS Office or Google docs, proficient at slide design
* Excellent English speaking and writing skills
* Excellent analytical and communication skills; ability to communicate complex machine learning
concepts in lay terms to very diverse and heterogeneous audiences
* Experience working independently within a collaborative team
* Publication record appropriate for career level

Nice to Haves:
* Roche experience
* Experience in a scientific role in the pharmaceutical industry, ideally involving clinical studies
* Previous hands-on clinical experience with neurological diseases such as Multiple Sclerosis, Parkinson’s
Disease, Autism Spectrum Disorder or Schizophrenia
* Experience with Agile methodologies and ceremonies
* Experience with Bayesian methods or longitudinal data analysis
* Experience with remote patient monitoring
* Experience in experimental/clinical study design
* Experience with MLOps

Reference no: 921242 AD
Role: Digital Biomarker Machine Learning Scientist
Industry: Pharmaceutical industry
Workload: 100%
Location: Basel, Switzerland
Start date: asap
Duration: 12 months contract, with possible extension

About us:
ITech Consult is a certified ISO 9001:2015 Swiss company with offices also located in Germany and
Ireland. ITech Consult is specialised in delivering IT candidates for contract work. We were founded in
1997 by IT professionals; hence we well understand what it means to be professionally supported in your
search for a new project and being employed.