Job Description:
Purpose of Job: The computational biologist will join the research team at HLI and contribute to the innovative research and product offering at Health Nucleus. The successful candidate will design and engineer advanced programs performing mining, analysis and assessment of the most comprehensive human genome, microbiome, metabolone, and clinical data available. This will be achieved by leveraging and assessing the most advanced bioinformatics data gathered for the purpose of healthier aging and overall human wellness study. This is an exceptional opportunity to learn and explore the new dimension of Big Data meets Genomic Science. Tasks and Responsibilities:
Additional Info:
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Purpose of Job: The computational biologist will join the research team at HLI and contribute to the innovative research and product offering at Health Nucleus. The successful candidate will design and engineer advanced programs performing mining, analysis and assessment of the most comprehensive human genome, microbiome, metabolone, and clinical data available. This will be achieved by leveraging and assessing the most advanced bioinformatics data gathered for the purpose of healthier aging and overall human wellness study. This is an exceptional opportunity to learn and explore the new dimension of Big Data meets Genomic Science. Tasks and Responsibilities:
- Work with large unstructured and structured data sets
- Design and evaluate novel approaches for handling and integrating large internal and external (genomics and EHR) data sets
- Apply data-mining, and machine learning techniques for a variety of modeling and relevance problems
- Conduct design and code reviews
- Prototype, develop and test new algorithms
- Interface with Bioinformatics Scientists and Research Scientists
- Participate in and drive scientific collaborations and publication efforts
- MS or PhD in Computational Biology or Data Science, preferably with a focus on statistical learning, applied statistics, and machine learning. Graduates from other relevant scientific or engineering fields would also be considered.
- Programming fluency in Python, R, C/C++ or similar languages, in a Linux environment
- Strong system building, problem solving and data structures experience
- Demonstrate excellent verbal and written communication skills
- Excellent critical and analytical thinking with attention to details
- PhD degree with a strong publication record
- Experience with integrative analysis of large scale genomics and electronic health records data
- System building, problem solving and data structures experience
- Experience in a fast-paced start-up environment
Requeriments :
Skills :
- Data Mining
- genomic
- Lunix/Unix
- Machine Learning
- Modeling
- Programing in C
- Programing in C++
- Programing in Python
- Programming in R
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]