Statistical Genetics Intern, Computational Genetics
The computational Sciences team at Beam is seeking a highly motivated summer intern with an interest in human genetics, bioinformatics, computational biology, or a related discipline to join our Computational Genetics team and contribute to our efforts to apply genetics to multiple aspects of drug discovery and development to join us from June through August 2024. The successful candidate will be part of a team conducting in-depth analyses of the UK Biobank data to; 1) Aid in efforts to identify novel drug targets for base editing from human genetics and; 2) to gain additional biological insights into gene targets we are already pursuing to inform the development path of our therapeutics.
- Participate in genetic association studies (GWAS, EWAS, PHEWAS) and integrative analysis of multi-omics data to facilitate discovery of novel drug targets.
- Contribute to creation and maintenance of an analytical pipeline that allows the systematic analysis of a large genotype-phenotype dataset.
- Present findings at internal meetings.
- Currently pursuing a MS or PhD degree in Human Genetics, Bioinformatics, Computational Biology, or related field.
- Experience in statistical genetics and working with genetic and multi-omics datasets.
- Familiarity with methods in statistical genetics, such as fine-mapping, polygenic risk score, Mendelian Randomization, colocalization.
- Strong analytical, independent problem-solving and communication skills.
- Proficiency in at least one programming language (e.g., R, Python) and experience in statistical genetics software (e.g., PLINK, REGENIE).