Careers

Join our team

We are looking for exceptional team members to join our revolution in digital health! HPI·MS is calling on all those with a passion for improved healthcare and translational data science to share their knowledge and expertise with an international community motivated by the same call to action.

Current Opportunities
Postdoctoral Research Fellowship - Data Science and Deep Learning

We are inviting applications for a Postdoctoral Research Fellowship position in digital health-personalized medicine with a specific interest in applications to electronic health records (EHR), digital technologies in human health, and its innovative integrations. The ideal candidates will have the following background: 1. PhD, MD, or MD/PhD in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics, genetics, etc. 2. Significant experience in machine learning techniques is preferred, ideally with published work and/or code available. Expertise with deep learning frameworks is preferred (e.g., Tensorflow, PyTorch, Keras). 3. Expertise with programming and statistical software experience in R and/or Python. 4. Prior experience with digital health studies is a strong advantage. 5. Excellent publication track record. 6. Strong communication and presentation skills with fluency in spoken and written English.

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Senior Data Engineer

Skills and Qualifications: 2 years of experience working with web technology design and development in an enterprise setting 2 years of experience working with Python, Flask Experience  with infrastructure as code: Terraform,Ansible or Puppet Experience with  CI/CD pipelines: Jenkins, Travis  Experience with: Docker environment and Kubernetes Solid Web Services REST, SOAP, API Integrations, SQL, NoSQL Solid experience in preserving work in source control versioning tools such as Git, Mercurial Knowledge with PostgreSQL, and MongoDB Familiarity with continuous integration: Gunicorn WSGI, Flask  Familiarity with cloud architecture as Azure, AWS Strong knowledge of data privacy and security Familiarity handling health data Optional working with Apache Kafka, FHIR Must be able to work closely with others  Must be willing to pivot with the needs of the organization and learn/ grow skillsets Must be able to understand user requirements from specifications provided by business/non-technical personnel Must be able to quickly develop competency with new technologies and software versions to keep the web site sustainable and easily maintainable

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