Computational Scientist at Broad Institute in Cambridge, MA

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.