Job ID:
Job date: 2018-03-30
End Date:
Company : Brigham and Women’s Hospital Country : Role : Postdoc
Job date: 2018-03-30
End Date:
Company : Brigham and Women’s Hospital Country : Role : Postdoc
Job Description:
An NIH-funded post-doctoral position in human/statistical genomics is available in the laboratory of Dr. J. Danny Muehlschlegel, Department of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School. 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. Qualified candidates should have: -A Ph.D. in computational biology, bioinformatics, biology, computer science, or a related field -Proficiency with statistical methods, databases, and programming in a modern programing language (e.g. Python, Perl, Java), with knowledge of R/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 Info:
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. Primary Location : MA-Boston-Boston - BWH Main Campus Work Locations : Boston - BWH Main Campus 75 Francis St Boston 02115 Job : MD/PHD/Fellows/ PostDocs Schedule : Full-time Standard Hours : 40 Shift : Day Job Employee Status : Regular Recruiting Department : BWH Anesthesia Job Posting : Nov 28, 2017[Click Here to Access the Original Job Post]
An NIH-funded post-doctoral position in human/statistical genomics is available in the laboratory of Dr. J. Danny Muehlschlegel, Department of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School. 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. Qualified candidates should have: -A Ph.D. in computational biology, bioinformatics, biology, computer science, or a related field -Proficiency with statistical methods, databases, and programming in a modern programing language (e.g. Python, Perl, Java), with knowledge of R/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.
Requeriments :
Skills :
- Bioinformatics
- Bioinformatics Databases
- Biology
- Computational Biology
- Genetics
- genomic
- Microarray
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
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. Primary Location : MA-Boston-Boston - BWH Main Campus Work Locations : Boston - BWH Main Campus 75 Francis St Boston 02115 Job : MD/PHD/Fellows/ PostDocs Schedule : Full-time Standard Hours : 40 Shift : Day Job Employee Status : Regular Recruiting Department : BWH Anesthesia Job Posting : Nov 28, 2017[Click Here to Access the Original Job Post]