HLI is constructing a robust sequencing operation to compile the most comprehensive and complete human genotype, microbiome, metabolome, proteome, and phenotype database available. A key focus of HLI’s activities will be building the computational and statistical methods to allow for the identification of biologically relevant associations in this database.
- Develop and apply statistical and population genetic algorithms to sequence data.
- Develop and implement methods for analyzing human genomes at an industrial scale.
- Carry out association analyses with sophisticated genotypic, microbiomic, metabolomic, proteomic and phenotypic information.
- Ph.D in Biostatistics, Statistical Genetics, Population Genetics or closely related fields (NGS)
- Proficient in statistical analysis and programming in R.
- Strong programming skills, and the ability to design and prototype computational algorithms in C++, Python, Java, or C#
- Experience working in cloud environment, with specific experience with Amazon Web Services (AWS) being an advantage
- Comfortable in a Linux environment
- Extensive experience in bioinformatics and working with NGS data
- Established track record applying innovative methods to drive project success
- Demonstrate outstanding personal initiative and the ability to work effectively as part of a team
- Collaborate with diverse scientists from computational and experimental backgrounds
- Lead, coach, and mentor scientists in the design and execution of innovative research programs
- Demonstrates excellent verbal and written and communication skills
- Prior experience working with large-scale genetics and genomics datasets (Big Data)
- 2+ years’ experience in a startup organization
- 2+ years post-graduate experience
- Relational database experience: Oracle, Microsoft SQL Server, Postgresql, or MySQL
- A second language
- Mixture of private offices, open space with cubicles, laboratory and storage facilities
Human Longevity, Inc. is an equal opportunity employer
DISCLAIMER: The information on this description has been designed to indicate the general nature and level of work. It is not designed to be interpreted as a comprehensive inventory of all duties and responsibilities of an employee to this job.