Senior Quantitative Scientist, Population Genetics

23andMe Research Institute

Palo Alto (Schuylkill County)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

23andMe Research Institute is looking for a quantitative scientist with a Ph.D. in Population Genetics or a related field to enhance our R&D team. The role involves designing algorithms for genetic relationship inference and collaborating with cross-functional teams to deploy features that benefit consumers.

Ideal candidates should possess strong expertise in population genetics and machine-learning techniques, with proficiency in Python. This role offers the opportunity to work at the forefront of human genetics research in a dynamic environment.

Qualifications

  • Ph.D. in Population Genetics, Human Genetics, or related quantitative field.
  • Strong expertise in population genetics with prior work experience.
  • Research experience with machine-learning techniques on large-scale datasets.
  • Broad expertise in the Python scientific ecosystem.

Responsibilities

  • Design and implement algorithms for genetic relationship inference.
  • Scale pedigree inference across millions of individuals.
  • Develop methods for tracing trait inheritance across pedigrees.
  • Collaborate with product managers and engineers to deploy features.

Skills

Population genetics
Statistical modeling
Machine learning
Python

Education

Ph.D. in Population Genetics or related field

Tools

Data analysis tools
Statistical software

Job description

23andMe Research Institute is looking for a quantitative scientist with a Ph.D. in Population Genetics or a related field to enhance our R&D team. The role involves designing algorithms for genetic relationship inference and collaborating with cross-functional teams to deploy features that benefit consumers.

Ideal candidates should possess strong expertise in population genetics and machine-learning techniques, with proficiency in Python. This role offers the opportunity to work at the forefront of human genetics research in a dynamic environment.

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