We are always looking for individuals who are enthusiastic, innovative thinkers, and who enjoy team-oriented research, to join our group. Please email with your CV and a brief statement of your research focus and interest in joining the Innovation Center for Biomedical Informatics. See all of our current opportunities below.





Post-doctoral fellow, Computational Health Data Science and Informatics

The Georgetown University Innovation Center for Biomedical Informatics (ICBI) is a multi-disciplinary, academic hub for innovative research in the field of data science. Established in Spring 2012, our vision is to enable a more individualized approach to healthcare. Our mission is to enhance clinical and translational research at Georgetown, through collaborative research partnerships involving biomedical data analysis. This includes educating the next generation of biomedical scientists and physicians, for whom informatics is becoming a routine part of research and healthcare delivery.

We seek a computational scientist to join our vibrant multi-disciplinary team to continue to expand our big data analytics expertise in support of cancer-personalized medicine. This is an exciting opportunity to become part of and grow into a faculty position within a world-renowned medical center with expertise in clinical oncology, molecular diagnostics, immunotherapy and biomedical informatics.

You will work closely with ICBI faculty and staff with diverse expertise to implement cutting edge computational methods and software for personalized medicine advances to support our projects in ClinGen, CTSA, cancer center and many others. You should be someone who is comfortable with rapid, agile computational development in a high intensity and rapidly evolving research and development environment. You must be creative, self-driven and work independently, yet be an excellent communicator and coordinate specific projects within a matrix organization; fundamentally, you must be passionate about the potential to utilize big data to improve health outcomes. You must be adept at coming up with new ideas and solutions and to adapt to new technologies and changing priorities.

Key responsibilities include, but are not limited to:

  • Apply a wide range of biomedical informatics and computational methods and techniques (including deep learning and other machine learning methods as appropriate) to model large volumes of disparate data towards the identification of new patterns and hypothesis in health data from our health partner MedStar Health which sees over 4M patients each year in ambulatory, outpatient and inpatient settings.
  • Develop and implement novel algorithms for matching patients with drugs based on clinicopathologic, imaging and laboratory test data
  • Work closely with the technology team to architect, develop, maintain, and document computational infrastructure for large-scale omics data management and analysis using high-performance computing resources (e.g. Amazon web services or Google Cloud Platform)
  • Adopt and/or develop natural language processing tools and workflows for extracting relevant details from scientific literature and other unstructured sources of information such as from clinical charts
  • Integrate data from external datasets (e.g. TCGA) with in-house pipelines
  • Apply data visualization techniques to effectively present data
  • Present the work and results to internal teams, potential and current customers, and at conferences and workshops
  • Assist in writing journal articles, blog posts, and grant proposals

The ideal candidate will have broad expertise in computational methods in health data with a strong knowledge of cancer biology and fluent in computational approaches.

Additional requirements include:

  • Proficiency in open source web application development
  • Be comfortable with rapid end-to-end prototyping
  • Expertise in advanced computational biology methods such as systems biology and network analysis, machine learning and data mining tools
  • Knowledge of cancer databases including but not limited to clinically relevant human variants, clinical trials and pharmacogenomics and drug databases

A PhD in Computational Biology, Computer Science, Bioinformatics, Biomedical Informatics or related analytical field is essential. Excellent verbal and written communication and presentation skills in English are necessary.

To apply please visit this link: 

Please send your resume and a brief cover letter to Georgetown ICBI is a great place to begin and expand your informatics career. Georgetown University values diversity and is an equal opportunity employer. Women and minority candidates are strongly encouraged to apply.