Gencove is taking low-pass sequencing to population scale and is hiring a Data Scientist to be a key member of this effort.
At Gencove, we develop software and algorithms for processing genomic data at scale. We use Python/R for research, and deploy to production with Python on the AWS ecosystem.
The role entails data analysis of genetic data from cattle, dogs, and a variety of different species, and owning the deployment of resulting features to production. Strong research skills and a demonstrated history of accomplishment are critical to the role. The ideal candidate will have a strong quantitative background and experience working with genomic data from animals at scale.
Successful candidates must be able to work effectively both in a collaborative setting and independently, and possess outstanding communication skills.
The candidate will have the opportunity to work in a dynamic environment of an early stage startup company.
Minimum qualifications
- Bachelor's degree or higher in a quantitative field (computer science, statistics, physics, computational biology, etc.)
- Demonstrated strong programming skills in Python, or similar
- A strong grasp of basic concepts in statistics and genetics
- 3-5 years of experience in animal genomics
- Experience working with genomic data at scale
- Proficiency working in a *nix environment
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- A commitment to scientific rigor and eagerness to learn
Preferred qualifications
- PhD in a quantitative field (computer science, statistics, physics, computational biology, etc.)
- Demonstrated strong programming skills in C++, or similar
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