Computational Geneticist
Save
Computational Geneticists are individuals who use computation techniques to analyze genetic data. This field combines computer science, biology, genetics, and mathematics to study the relationship between genes and disease.
Education
Most Computational Geneticists have a master's degree or doctorate in genetics, bioinformatics, or a related field. Some employers may accept candidates with a bachelor's degree in a related field, such as computer science or mathematics, but they will typically require additional coursework in genetics and bioinformatics.
Skills
Computational Geneticists should have a strong foundation in computer science, biology, and mathematics. They should also be proficient in the use of statistical software and programming languages, such as Python and R. Additionally, they should be able to work independently and as part of a team.
Roles and Responsibilities
Computational Geneticists are responsible for analyzing genetic data to identify patterns and relationships. They may also develop new computational methods for analyzing genetic data, this allows them to model biological systems and predict outcomes.
The day-to-day responsibilities of a Computational Geneticist may include:
