Postdoctoral researcher

We are seeking highly motivated candidates for a fully supported postdoctoral fellowship to develop and apply bioinformatics approaches for analyzing the genetic variations associated with human diseases.


• Develop the machine learning tools for mutation and protein analysis.

• Apply bioinformatics methods to analyze the disease-causing mutations.

• Perform the molecular biology experiments to validate the biological impacts of mutations in Drosophila model.

• Conduct statistical analysis and data interpretation responsibilities as needed.

• Help in coordinating the laboratory management and advise students.

• Contribute to manuscripts resulting from research projects.

• Present work at group meetings and conferences.


Successful applicants will have:
• PhD or equivalent degree in Bioinformatics, Genetics, Computer Science, Biostatistics or any relevant area.

• A strong computational background, proficiency in at least one of the programming languages including Perl, R, Java and Python.

• Experience with machine learning/deep learning and web/database development.

• Ability to work independently and perform research projects with minimal supervision. 

Preferred qualifications included:
• A strong publication record.

• Excellent communication skills.

• Experience with the genetic experiments in transgenic Drosophila melanogaster (staining, imaging, electrophysiology, behavior, bioassays, RT-PCR etc.).

• Experience with the computational biophysics (structure modeling, energy calculation etc.).

Applications will be accepted on a rolling basis and the position will remain open until filled.

If you are interested, please send your CV and cover letter to Dr. Teng (