Computational Scientist I - Long Read Sequencing Data Analysis

In partnership with several other sequencing centers and research groups, the Broad Institute is undertaking long-read sequencing of tens of thousands of human genomes, transcriptomes, and parasite genomes across several projects and research areas (e.g., severe Mendelian disease, cancer, autism spectrum disorder, population genetics, malaria, etc.). We seek a motivated and collaborative scientist to join our efforts to develop cloud-native tools and data analysis workflows for third-generation (long read) sequencing data.

The Computational Scientist will have a multi-purpose role. They will analyze long-read data both at the single-experiment and integrative level across all long-read production projects at the institute. In addition, they will help develop computational methods/tools/pipelines to create or contribute to proof-of-concept, high-impact prototypes. These duties will include the application of existing software, creating and monitoring quality control metrics on data, as well as the development of novel, computationally-intensive code. This individual will work closely with the Genomics Platform (GP), the Data Sciences Platform (DSP), and other collaborators to translate methods into production-scale processes and make them available to the community.

The ideal candidate should be curious, enjoy viewing and solving problems with systematic approaches, and be productive working across diverse projects in a team environment. They should be skilled in data visualization and statistical analysis techniques (ranging from traditional statistical methods to machine learning).

• PLEASE INCLUDE A COVER LETTER WITH YOUR APPLICATION ***

Responsibilities

• Present results to both computational and non-computational audiences, internally and externally, through presentations and/or peer-reviewed publications.
• Develop novel algorithms for the characterization and use of long-read sequencing data.
• Collaborate with GP and other scientific partners to design and analyze experiments.
• Help create computational pipelines/systems to investigate new areas of research and development.
• Develop and adapt cloud-native workflows for reproducible execution of analysis tools.

Skills And Abilities

• Excellent communication skills in written and verbal form.
• Solid foundation in statistical models (e.g. knowledge of advanced statistical techniques, their relative strengths, and weaknesses) and/or machine learning.
• Proficiency in interpreted languages (e.g. Python, R) and familiarity with compiled languages (e.g. C++, Rust).
• Experience designing and implementing complex software systems, or software with low-level components is desirable but not required.
• Familiarity with genomics/transcriptomics and/or long-read sequencing data (such as Pacific Biosciences or Oxford Nanopore) is desirable but not required.
• Productive in fast-paced, collaborative environments. Can handle occasional multitasking.
• A habit of deep diving into details to understand and tackle analytical challenges in real-world problems.

Qualifications

• Proven experience in data-intensive collaborative projects.
• A Ph.D., or Masters + 3 years experience, or Bachelor’s + 6 years experience in a computational discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Computer Science, Mathematics, Physics, Statistics). Exceptional candidates without these precise credentials will also be considered.
• Proven experience in the development of computational methods for use by others.

The Broad Institute is an amazing place - we apply our deep knowledge of human genetics and computational methods to empower a revolution in bio-medicine and accelerate the pace at which the world conquers disease. Through our partnerships with MIT, Harvard, and the Harvard teaching hospitals, we've become a worldwide hub of cutting-edge biomedical science.

The Long Reads group within the Data Sciences Platform at the Broad Institute tackles methods development needs arising from long-read sequencing data. We work in a dynamic and highly collaborative environment, connected to groups across the Broad community and to clinical and academic researchers from around the globe.

LC-2023

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.

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