Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
Postdoctoral Fellow at the Icahn School of Medicine at Mount Sinai, New York, NY.
A postdoctoral position is available in the lab of Dr. Inga Peter in the Department of Genetics and Genomic Sciences to apply genetic, genomic, and systems biology approaches in order to explain the increased risk of complex human diseases. The major project will focus on cardiometabolic complications that arise in response to antiretrovital therapy (ART) in individuals living with HIV. An additional project is aimed to identify genetic risk factors associated with non-syndromic craniosynostosis, a birth defect associated with a premature closure of the skull bones. The projects combine minimal understanding of molecular genetics and mostly apply statistical and bioinformatics approaches to identify the genes and networks associated with these conditions.
We are seeking a highly motivated postdoctoral fellow to apply a variety of approaches to effectively integrate and analyze genetic, genomic, and clinical data to identify biological pathways that lead to premature cardiometabolic complications in individuals living with HIV. The successful candidate will apply independent problem solving requiring the use of existing and emerging scientific and statistical knowledge. Our research involves extensive collaborations with clinicians, pharmacologists, geneticists, immunologists, and computer scientists; therefore the applicant should possess the ability to work in a highly collaborative and intellectually challenging environment.
Candidates should have strong background in statistical genetics, genetic epidemiology and/or bioinformatics, be proficient with R, SAS, Perl/Python, other statistical genetics packages, and hold a PhD in one of the following disciplines: Genetics, Genetic Epidemiology, Statistical Genetics, Bioinformatics, or Computational Biology. Prior experience in the field of genetics of complex diseases is an advantage.
Qualified candidates should possess strong communication skills, creativity, self-motivation, and the ability to work independently. Candidates must also be proficient in oral and written English.
- Required qualifications:
• PhD degree in an appropriate area.
• Theoretical knowledge of statistical and molecular genetics
• Documented experience in either bioinformatics or genetic epidemiology/statistical genetics
• Proficiency in both written and spoken English