Description
A post-doctoral position in human/statistical genomics is available in the laboratory of Dr. J. Danny Muehlschlegel, Department of Anesthesiology, Perioperative and Pain Medicine, jointly with Dr. Benjamin Raby at the Channing Division of Network Medicine, both at Brigham & Women's Hospital, Harvard Medical School and Dr. Barbara Stranger, Section of Genetic Medicine, and The Institute for Genomics and Systems Biology, University of Chicago.
We are looking for an enthusiastic and energetic individual to join our collaborative research effort, focusing on the analysis of human genetic variation, specifically in the context of its’ influence on aspects of cardiac gene expression profile after an ischemic insult. We are principally interested in understanding how genetics contributes to complex traits, particularly myocardial ischemic injury in humans. We focus on the genetic basis of transcript regulation in cardiac surgical patients by combining genome-wide association studies (GWAS) and genome-wide RNA sequencing (RNAseq) to identify expressed quantitative trait loci (eQTL). Additionally, we are interested in performing transcriptional network and pathway analysis and detection of disease susceptibility genes/networks.
The position offers a stimulating and multi-disciplinary environment and the opportunity to work with researchers at Harvard Medical School, Brigham and Women’s Hospital, the Program in Medical and Population Genetics of the Broad Institute of MIT and Harvard, and the Section of Genetic Medicine at the University of Chicago.
Qualifications
The qualified candidate should be highly motivated, with experience in genomics, bioinformatics, computational biology, human population genetics, or a related field, with experience in statistics.
Requirements:
- Ph.D. degree in bioinformatics, biology, computer science, or a related scientific discipline preferred,
- Fluency with basic statistical methods, databases, and programming (Perl, Java, or C/C++).
- Experience with computational analysis framework tools such as R or MATLAB
- Experience with biological networks and pathways analysis software
- Excellent written and oral communication skills,
Because our work involves multiple collaborators, a good balance between independence and team spirit is essential, and effective communication skills are necessary. Prior experience in the following areas is highly desired: computational analysis of next-generation sequencing and microarray data, analysis of biological networks, and functional analyses of transcriptome profiling data. Applicants are also expected to be familiar with bioinformatics tools and genomics databases. Women and minority applicants are encouraged to apply.
Additional information
Application and inquiries should be submitted by e-mail to Danny Muehlschlegel “jmuehlschlegel (at) partners (dot) org”. Along with your CV, please include a cover letter describing previous research, research interests, and future goals. Please provide contact details for 3 references.
A post-doctoral position in human/statistical genomics is available in the laboratory of Dr. J. Danny Muehlschlegel, Department of Anesthesiology, Perioperative and Pain Medicine, jointly with Dr. Benjamin Raby at the Channing Division of Network Medicine, both at Brigham & Women's Hospital, Harvard Medical School and Dr. Barbara Stranger, Section of Genetic Medicine, and The Institute for Genomics and Systems Biology, University of Chicago.
We are looking for an enthusiastic and energetic individual to join our collaborative research effort, focusing on the analysis of human genetic variation, specifically in the context of its’ influence on aspects of cardiac gene expression profile after an ischemic insult. We are principally interested in understanding how genetics contributes to complex traits, particularly myocardial ischemic injury in humans. We focus on the genetic basis of transcript regulation in cardiac surgical patients by combining genome-wide association studies (GWAS) and genome-wide RNA sequencing (RNAseq) to identify expressed quantitative trait loci (eQTL). Additionally, we are interested in performing transcriptional network and pathway analysis and detection of disease susceptibility genes/networks.
The position offers a stimulating and multi-disciplinary environment and the opportunity to work with researchers at Harvard Medical School, Brigham and Women’s Hospital, the Program in Medical and Population Genetics of the Broad Institute of MIT and Harvard, and the Section of Genetic Medicine at the University of Chicago.
Qualifications
The qualified candidate should be highly motivated, with experience in genomics, bioinformatics, computational biology, human population genetics, or a related field, with experience in statistics.
Requirements:
- Ph.D. degree in bioinformatics, biology, computer science, or a related scientific discipline preferred,
- Fluency with basic statistical methods, databases, and programming (Perl, Java, or C/C++).
- Experience with computational analysis framework tools such as R or MATLAB
- Experience with biological networks and pathways analysis software
- Excellent written and oral communication skills,
Because our work involves multiple collaborators, a good balance between independence and team spirit is essential, and effective communication skills are necessary. Prior experience in the following areas is highly desired: computational analysis of next-generation sequencing and microarray data, analysis of biological networks, and functional analyses of transcriptome profiling data. Applicants are also expected to be familiar with bioinformatics tools and genomics databases. Women and minority applicants are encouraged to apply.
Additional information
Application and inquiries should be submitted by e-mail to Danny Muehlschlegel “jmuehlschlegel (at) partners (dot) org”. Along with your CV, please include a cover letter describing previous research, research interests, and future goals. Please provide contact details for 3 references.