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Brigham and Women's Hospital's Center for Perioperative Genomics (CPG) is seeking a statistical geneticist / genetic epidemiologist with a doctoral degree in Biostatistics or Epidemiology.

The CPG, based at Brigham and Women's Hospital, Boston, MA, conducts genetics research in three areas:

1. Genetic predictors of outcomes after cardiac surgery: principally atrial fibrillation, heart failure and myocardial ischemia.

2. Transcription level architecture of myocardial ischemia, principally using RNASeq and expression quantitative trait loci (eQTL) and analysis of cardiac tissue

3. Structural heart disease, notably bicuspid aortic valve disease and its genetic etiology, through an international consortium of researchers.

We are looking for an enthusiastic and energetic individual to join our research efforts, focusing on the analysis of human genetic variation, specifically in the context of its influence on aspects of expression profiles and complex phenotypes.

Principal Duties and Responsibilities:

Collaborate with and support the statistical needs of a team of clinical researchers whose members are internationally recognized in perioperative genomics. Review protocol, statistical analysis plans for projects. Leads program validation for each project and assists with statistical quality assurance review. Assumes overall responsibility for the successful execution of projects including adherence to timelines and budgets, as well as the quality of deliverables. Develop high quality datasets from multiple sources to perform hypothesis testing. Conduct data analysis of multiple types of data files. Data stem from clinical data records in proprietary software developed in-house, genotyping from GWAS and genotyping technologies such as Sequenom or TaqMan analyses and transcriptional level data. Convey analysis results in an understandable and complete manner. Prioritize tasks to meet goals and deadlines of the team.

Qualifications:

Applicant must have a Masters or Doctoral level (strongly preferred) degree in statistical genetics, computational biology, genetic epidemiology, or a related field.

Applicant must have at least 2 - 3 years of applied statistical genetics analysis experience. Expertise in statistical programs (SAS, SAS/Genetics, R, PLINK and GATK) is required. A working knowledge of scripting or object-oriented languages such as Python, Perl, PHP or JAVA is needed.

Skills/Abilities/Competencies Required:

The position requires excellent organizational skills accompanied by ability to communicate effectively both verbally and in writing. The candidate must have a strong methodological background and be able to collaborate with a multi-disciplinary team whose members have varied statistical backgrounds. The applicant should be able to independently perform survival analysis, multivariate statistics, computational analyses of high-throughput data and other data analytic techniques useful for genetic epidemiology. He or she should have experience analyzing high-throughput genomic datasets derived from microarray and/or other high-throughput technologies. A good understanding of genetics is required.

Please respond to Dr. Simon Body   [log in to unmask]

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