Romano Lab @ Penn
The Romano Lab is newly established and looking for members in a variety of roles. All positions below will be officially recruiting as of January 2023, but interested applicants can reach out for more information immediately.
A formal job posting for this position will be available soon on the Penn website.
Note: This position will be listed as "Data Analyst" on the Penn job posting site due to internal policies.
Full-time employees of the lab are eligible for a comprehensive benefits package through the University of Pennsylvania.
The Romano Lab is recruiting a postdoctoral researcher to develop and apply new methods in computational toxicology using artificial intelligence and techniques from biomedical informatics. We develop knowledge graphs to computationally predict and explain the downstream clinical effects that arise following exposure to environmental toxicants. This postdoc position will involve extending these knowledge graphs to new biomedical data types, and applying graph machine learning (Graph ML) to detect novel adverse outcome pathways. They will also have the opportunity to interact with real-world observational datasets (e.g., Penn's Electronic Data Warehouse and Biobank resources) to validate the Graph ML predictions.
Qualified candidates for this position will have a PhD in biomedical informatics, pharmacology, computer science, or related fields, and a strong publication record. Prior experience with data science and computer programming is preferred.
The Romano Lab is recruiting a postdoctoral researcher to conduct applied research in pharmacoinformatics / pharmacoepidemiology, including adverse events and/or drug-drug interactions. This position will give the opportunity to analyze observational data (electronic health records, healthcare claims data, etc.) to discover new patterns between drug exposures and previously unknown clinical effects. We are especially interested in applying explainable ML/AI in order to gain knowledge from data.
Qualified candidates for this position will have a PhD in biomedical informatics, pharmacology, computer science, or related fields, and a strong record of publication. Prior experience with data science and computer programming is preferred.
All initial postdoc appointments will be for a period of 1 year, and is renewable given satisfactory performance. Salary for new postdoc hires will be $65,000 plus comprehensive health insurance (details given here).
Interested applicants should submit a CV, cover letter indicating their reserach interests, and names/contact information of 2 references to joseph.romano [at] pennmedicine.upenn.edu. At least one of these references should be directly familiar with the applicant's research experience.
Prospective PhD students should apply to the graduate group in Genomics and Computational Biology (GCB) at the University of Pennsylvania, and have interests in one or more of the following fields:
- Translational bioinformatics
- Computational toxicology
- Biomedical ontologies
- Graph machine learning
- Clinical informatics
- Natural product drug discovery
Current or incoming GCB students are encouraged to set up a time to discuss rotation project ideas with Dr. Romano; he can be reached at joseph.romano [at] pennmedicine.upenn.edu.
Don't see a position above that fits? We're always on the lookout for highly motivated scientists and students at different levels of their academic career — contact us to set up a time to chat about possible opportunities!