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- Manipulate and analyze genome and high complexity genotype data, generated through next gen sequencing, including BAM and FASTQ files.
- Develop computational and data mining approaches to combine genotype information, molecular profiling data and other phenotypic information derived from NCBI and other online databases.
- Test and assure the quality of automated analysis systems
- Efficiently manage experimental data and data workflows
- Contribute to the ongoing design and development of GenePeeks technology
- Other duties as assigned
Our ideal candidate would have the following training and technical expertise:
- Strong educational background in molecular genetics and statistics evidenced by undergraduate or graduate coursework.
- Facility with a modern programming or scripting language with the confidence and ability to master python with NumPy
- Familiarity with DNA sequencing is desirable
- Ability to implement tools using APIs that automatically interrogate publicly available scientific datasources and tools
- Familiarity with next-gen sequence data analysis
- Familiarity with 1000 Genomes Project or similar exposure is desired
- Ability and motivation to work independently
- Ability to interact proactively with a small group
- Strong written and verbal communication skills
- Desire to work in a fast-paced, loosely structured business environment
- Sense of humor
If you are interested in this role and fulfill the requirements, please send your CV and cover letter to firstname.lastname@example.org
GenePeeks is a genetic information company with a mission to help families protect the next generation. Our patent-pending technology reduces the risk of more than 600 severe, pediatric diseases by digitally weaving together the DNA of prospective parents and analyzing thousands of "digital babies" pre-pregnancy.
Our initial focus is the donor sperm industry, where we help sperm bank clients avoid donor matches that carry a high risk of passing on life-threatening and life-altering diseases.
GenePeeks was founded by Princeton genetics professor Lee Silver and Anne Morriss, an entrepreneur and mother whose first child was born with a rare disease that could have been identified with GenePeeks technology. For more information, please visit genepeeks.com.
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