Job Description:
At Sequenom, we foster innovation in molecular diagnostics, and we have a guiding vision in enabling healthier lives through the development of our products and services. Join the Bioinformatics team and take part in expanding the extremities of clinical diagnostics! We are looking for a Bioinformatics scientist with experience in algorithm development, and a strong understanding of statistics. Responsibilities: •Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses. •Cluster large amounts of R&D and clinical laboratory generated content. •Perform machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods. •Design and develop novel algorithms to mine through massive volumes of genetic data. •Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Requirements: •PhD in Bioinformatics, applied Computer Science, Mathematics, Physics, or Statistics. Or Master’s in Bioinformatics or Computer Science with relevant NGS experience. •3+ years of statistical analysis in an industry setting. •Excellent understanding of computer science fundamentals, data structures, and algorithms. •Good coding skills in R, Perl or Python, BASH, Java or C++, C# or similar. •Expertise in data mining, information retrieval, text mining. •Track record in combining analytic methods with advanced data visualizations. •Ability to breakdown and clearly define problems. •Ability to work with minimal supervision to find solutions to complex problems •Experience with NGS and NIPT preferred.
Additional Info:
[Click Here to Access the Original Job Post]
At Sequenom, we foster innovation in molecular diagnostics, and we have a guiding vision in enabling healthier lives through the development of our products and services. Join the Bioinformatics team and take part in expanding the extremities of clinical diagnostics! We are looking for a Bioinformatics scientist with experience in algorithm development, and a strong understanding of statistics. Responsibilities: •Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses. •Cluster large amounts of R&D and clinical laboratory generated content. •Perform machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods. •Design and develop novel algorithms to mine through massive volumes of genetic data. •Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Requirements: •PhD in Bioinformatics, applied Computer Science, Mathematics, Physics, or Statistics. Or Master’s in Bioinformatics or Computer Science with relevant NGS experience. •3+ years of statistical analysis in an industry setting. •Excellent understanding of computer science fundamentals, data structures, and algorithms. •Good coding skills in R, Perl or Python, BASH, Java or C++, C# or similar. •Expertise in data mining, information retrieval, text mining. •Track record in combining analytic methods with advanced data visualizations. •Ability to breakdown and clearly define problems. •Ability to work with minimal supervision to find solutions to complex problems •Experience with NGS and NIPT preferred.
Requeriments :
Skills :
- Machine Learning
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in C#
- Programming in Java
- Programming in PERL
- Programming in R
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]