Post Doc in Deep Learning on Electronic Health Record Data (Flatiron Health) (m/w)

Germany, Bavaria, Penzberg

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Post Doc in Deep Learning on Electronic Health Record Data (Flatiron Health) (m/w)

The position:

Roche Pharma Research and Early Development (pRED) invites applications for an exciting two-year postdoctoral position in research and development and application of Deep Learning methods on Electronic Health Record Data (EHR) from Flatiron Health. In this position, the postdoctoral candidate will work on a collaborative research project between pRED at the Roche Innovation Centre Munich and Prof. Fabian Theis (Director of the Institute of Computational Biology at the Helmholtz Zentrum München and Chair for "Mathematical Modeling of Biological Systems" at the Department of Mathematics of the TU Munich).

A major source of Real World Data is electronic health records (EHR). Roche has recently acquired Flatiron Health and thus access to a rich data source of semi manually curated EHR data for oncology patients. Secondary use of EHRs promise to advance clinical research and better inform clinical decision making. However, challenges regarding the use of EHR data are its high-dimensionality, noise, heterogeneity, sparseness, incompleteness, random errors and system biases.

The successful candidate will develop a novel representation of Flatiron patients based on all available demographic and clinical features, using deep learning technologies for feature extraction and selection. The methodology shall be extended and refined to address still existing shortcomings and be applied to evaluate its potential to answer relevant clinical questions such as prediction of general health, onset of rare and common diseases, progression of these diseases and their responsiveness to medication and treatment.

You will utilize expertise in bioinformatics, biostatistics, deep learning and machine learning and will be responsible to

  • Collaborate and coordinate with academic and industrial mentors to develop algorithms for novel representation of Flatiron patients based on all available demographic and clinical features
  • Systematically explore and establish deep/machine learning techniques for analysis of Flatiron EHR data
  • Prototype, implement, test and publish the developed algorithms/tools
  • Implement and publish method improvements
  • Interface with data scientists, clinical scientists and oncologists to apply the novel patient representation for pRED relevant scientific use cases
  • Present and publish at international conferences and in journals

Who you are:

  • You hold a PhD in biostatistics, bioinformatics, physics, informatics or other related and relevant field
  • You have excellent programming skills and are fluent in at least one of the following languages: R, Python
  • You have in depth knowledge in the fields of deep learning, machine learning and statistical modelling
  • You have a solid background in databases, SQL, and are confident in aggregating, manipulating and pivoting data tables
  • You are passionate about data visualization and presenting results in a concise and clear way
  • A background in cancer biology, ideally in cancer immunotherapy is a plus
  • A passion for innovation, and demonstrated initiative and track record in tackling new areas of research
  • You can prove your scientific excellence with a number of publications
  • You are well known for your strong team spirit and your willingness to work in international teams
  • In addition you are interested to work interdisciplinary and you are ready to learn and explore new fields
  • Excellent English skills, written and spoken, complete your profile

This position is temporary limited for two years.

Get in touch

E. Hallermayer-Jahreiß +498856/6019253

For technical questions, you can use our FAQ.

Should you have recruiting specific questions on your application or the specific job posting, please contact the responsible recruiter (E. Hallermayer-Jahreiß, +498856/6019253).

Application documents

For a complete application please add an updated CV, a motivational letter specific to the position and all relevant certificates. Please consider that after submission you won’t be able to add any further documents.

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At Roche, 94,000 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 is an equal opportunity employer.

Research & Development, Research & Development > ResearchPenzberg