Overview The Talkowski Lab in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School, and the Broad Institute is seeking exceptional computational scientist candidates. We are seeking a candidate to perform aid in large-scale genomics research across a spectrum of population genetics, disease association, and functional genomics studies. Successful candidates are expected to excel at critical thinking, be quick learners for new analytical approaches, and capable of applying or developing novel computational methods for solving complex problems. The Talkowski Lab is 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 the characterization of 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, as well as to develop new technologies for translational applications in genetic diagnostics. The lab has represented a hub of novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders. The successful candidate will have a deep background and track record in mathematics, programming, and/or data science; and the curiosity and willthe ability to bridge domains in a highly interdisciplinary environment. They will seek to understand what models and tools would drive progress on core scientific questions, and lead the effort to develop and apply them, and collaborate on publishing and presenting the work. Interested applicants should submit a cover letter and updated resume with their application. Key Responsibilities Develop, implement, and apply computational tools on genomic datasets. Work closely Collaborate with as a part of a team of developers to implement scalable data pipelines. Work with biologists to interpret and understand the data. Regularly attend and present results at team meetings to share results, plan projects and experiments and to ensure continuous communication around methods and tools developed Prepare high-quality publications and oral presentations. Proactively bridge scientific communities. Requirements PhD in Mathematics, Statistics, Computer Science, Physics, Biology or a related quantitative discipline. 2-4 years of experience developing efficient algorithms and mathematical models to solve complex problems.theory and applications to solve challenging real-life data science problems. Proficiency with coding coding in Python, MatLab, Unix/Linux, Java, C++, or R. and a compiled object-oriented language such as C++ or Java. Experience with designing computational methods and tools. Experience with cloud computing and machine learning are preferred but not required. Prior knowledge of neuroscience and/or neurodegenerateive disease biology is preferred, but not required. Excellent oral and written English communication skills. Ability to work independently and with a team. All Computational Scientists at Broad are encouraged to continue their technical growth by engaging with the wider computational community through Broad's vibrant Models, Inference & Algorithms Initiative (broadinstitute.org/mia). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
