Job Description:
Additional Info:
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Description: The Bioinformatics, Data Analysis and Statistics (BDAS) group at Ariosa Diagnostics is seeking a motivated Senior Data Scientist to join the team. Come join this highly talented and multi-disciplinary team of bioinformaticians, software engineers, and statisticians, and help us develop the next generation of paradigm-shifting molecular diagnostics products that have the potential to improve the quality of healthcare worldwide. The successful incumbent will devote all of his or her professional effort to exploring various high-dimensional datasets to improve the quality of our existing products and to develop new content for future products. The ideal candidate will be passionate about large and complex DNA datasets.
Responsibilities:
Principal responsibilities include:
- Design and development of a data management infrastructure to clean, organize, and manage terabytes of research and development data produced by the BDAS team
- Establishment of data management procedures for long-term data storage and access
- Design and development of software libraries providing efficient access to historical data produced by the BDAS group
- Architecture and implementation of an analytical data pipeline
- Integration of internally and externally produced unstructured, semi-structured, and relational data sources.
- Collaboration with other teams to identify and support various needs that are addressed by BDAS data stores.
- Interacting with other functional areas to provide training, documentation and support.
- Developing new software, analyses and reports to support both production and development operations.
Requirements:
We seek an individual with a successful track record who is comfortable with a fast-paced environment. The ideal candidate will have:
- Bachelor’s degree in Computer Science, Computer Engineering, Bioinformatics, Statistics, Physics, or related disciplines with 10+ years of experience. Master’s or Ph.D. degree preferred.
- Extensive experience working with large datasets. Experience with scientific data management preferred. Experience with genetic, oncology, and next-generation sequencing data is also a plus.
- Experience developing in C# preferred. Also of value: C++, Java, and/or Python
- Experience using statistical software such as R, S-plus, or SAS. Experience developing in R is preferred.
- Strong communication skills with the ability to maintain open communication with fellow employees, managers, and customers as needed.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in C#
- Programming in Java
- Programming in R
Areas :
Additional Info:
[Click Here to Access the Original Job Post]