HARVARD UNIVERSITY

Post-Doctoral Fellow - Studying Rapid Detection of Antibiotic Resistance

Location
Cambridge, Massachusetts (US)
Posted
16 Apr 2018
End of advertisement period
16 May 2018
Ref
7034
Contract Type
Fixed Term
Hours
Full Time

Post-Doctoral Fellow - Studying Rapid Detection of Antibiotic Resistance

Harvard T.H. Chan School of Public Health

Epidemiology/Center for Communicable Disease Dynamics

Position Description

Recognized as a leader in infectious disease epidemiology, the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health is seeking an exceptional and creative scientist for a post-doctoral fellowship to develop innovative approaches that can rapidly identify drug resistant pathogens, in a project funded by the Bill and Melinda Gates Foundation. The successful candidate will be independent and motivated, with a record of excellent research in statistical genetics, computational biology or a related field. Strong programming skills are essential, and experience with bacterial systems is expected. Specific expertise in microbial sequence analysis is welcome, but not essential. The fellow will work closely with Dr. Bill Hanage in the Center for Communicable Disease Dynamics and Dr. Yonatan Grad in the Department of Immunology and Infectious Disease, and will have opportunities for further professional development through interaction with other scientists applying bioinformatic, epidemiological and epidemic modeling approaches to pathogens. He/she will also have opportunities to interact with leaders of bacterial evolution and infectious disease epidemiology at Harvard and abroad. The fellow will have access to a wealth of resources including high-quality genomic and epidemiological data, a high-performance computing cluster and state-of-the-art sequencing and laboratory technology. The position is available immediately and is currently funded through November 2017, and, if successful, beyond that.

Recognized as a leader in infectious disease epidemiology, the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health is seeking an exceptional and creative scientist for a post-doctoral fellowship to develop innovative approaches that can rapidly identify drug resistant pathogens, in a project funded by the Bill and Melinda Gates Foundation. The successful candidate will be independent and motivated, with a record of excellent research in statistical genetics, computational biology or a related field. Strong programming skills are essential, and experience with bacterial systems is expected. Specific expertise in microbial sequence analysis is welcome, but not essential. The fellow will work closely with Dr. Bill Hanage in the Center for Communicable Disease Dynamics and Dr. Yonatan Grad in the Department of Immunology and Infectious Disease, and will have opportunities for further professional development through interaction with other scientists applying bioinformatic, epidemiological and epidemic modeling approaches to pathogens. He/she will also have opportunities to interact with leaders of bacterial evolution and infectious disease epidemiology at Harvard and abroad. The fellow will have access to a wealth of resources including high-quality genomic and epidemiological data, a high-performance computing cluster and state-of-the-art sequencing and laboratory technology. The position is available immediately and is currently funded through November 2017, and, if successful, beyond that.

Basic Qualifications

Applicants must have a doctoral degree in computer science, epidemiology, microbiology, or a related field. Candidates should have a strong quantitative background, general knowledge of infectious disease epidemiology, experience in programming and statistics or machine learning, excellent communication skills, and ability to work independently and with collaborators.

Applicants must have a doctoral degree in computer science, epidemiology, microbiology, or a related field. Candidates should have a strong quantitative background, general knowledge of infectious disease epidemiology, experience in programming and statistics or machine learning, excellent communication skills, and ability to work independently and with collaborators.

Additional Qualifications

Special Instructions

1. Cover Letter
2. Curriculum Vitae
3. Statement of Research
4. One sample Publication
5. Contact information for Three References

1. Cover Letter
2. Curriculum Vitae
3. Statement of Research
4. One sample Publication
5. Contact information for Three References

Contact Information

: To apply, please send a research statement, CV, contact information for three references and one sample publication by email to: whanage@hsph.harvard.edu. Applications will be considered as they arrive. Informal queries are welcome.

: To apply, please send a research statement, CV, contact information for three references and one sample publication by email to: whanage@hsph.harvard.edu. Applications will be considered as they arrive. Informal queries are welcome.

Contact Email

whanage@hsph.harvard.edu

Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Minimum Number of References Required

3

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