Computational Associate II Talkowski Laboratory

The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Broad Institute of MIT and Harvard is seeking a highly motivated enthusiastic Computational Scientist to work with and support our research group in analyzing sequencing data to identify structural variants within the human genome using genomic population databases and aggregating phenotype and genotype datasets.

We are comprised of an interdisciplinary group of scientists technicians bioinformaticians computational biologists and postdoctoral fellows who work together in a mutually supportive and respectful environment. Ideas are freely shared and contributions are highly valued. We are dedicated to characterizing genomic variation contributing to human disease with a focus on the relationship between genome structure and function. The lab integrates molecular and computational genomics methods to investigate the genetic architecture of neuropsychiatric disorders and develop new technologies for translational applications in genetic diagnostics. The lab has served as a hub for novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders.

We are seeking a candidate to perform high-quality large-scale computational analyses under the group leaders supervision in a timely manner. Successful candidates are expected to excel at critical thinking be quick learners of new analytical approaches and apply or develop novel computational methods to solve complex problems. Candidates should have practical experience with programming languages such as Java C R and/or Python. Must also have experience with computational analysis algorithm development and statistical analysis. Knowledge of existing bioinformatics analysis tools methods and databases is a significant plus.

Candidates will have the opportunity to work in a unique translational genomics environment within the CGM which seeks to integrate computational genomics technology development and molecular genomics methods. The MGH and the Broad Institute provide a vibrant research environment with close links to top academic institutions across the Boston area and provide the potential for your contributions to be used and recognized worldwide.

This position is hybrid and candidates can work remotely as needed

Education requirements

BS in similar field with 2 years of experience or a MS degree in a quantitative discipline (such as computational biology biostatistics statistical genetics computer science bioinformatics or in biology with a strong quantitative background).