Senior Scientist Statistical GeneticsLocation London, United Kingdom Apply
BioMarin’s Research & Development group is responsible for everything from research and discovery to post-market clinical development. Research & Development involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with rare diseases. Come join our team and make a meaningful impact on patients’ lives.
We’re seeking a scientist with strong statistical genetics experience to join the growing genetics and genomics group at BioMarin Pharmaceutical. The candidate will support discovery activities to transform human genetics and genomics discoveries to therapeutic hypotheses, and effectively communicate results to impact multiple stages of our drug discovery and development pipeline. The successful candidate will show evidence for being an independent thinker who can set his/her own daily agenda. Be responsible for identifying, evaluating and managing external partnerships and collaborations (both academic and private partnerships) mostly in the UK, but also in the European Union and globally. Strong emphasis on identifying opportunities to employing rigorous statistical and computational approaches on novel human genetic data.
- Identify and evaluate external partnerships and collaborations in relevant human genetic studies from academic consortia and public-private partnerships.
- Travel requirements: 30% of time
- Apply robust statistical and computational approaches to analyze population genomic and phenotypic data to enable disease/target identification and evaluation, exploring mechanism of action, and identification of genetic causal links to disease or subtypes of disease
- Evaluate and develop bioinformatics methods to integrate, summarize and report genetic, genomic, and other omics data, examples include Whole-exome sequencing, Whole-genome sequencing, Genome-wide association studies, Mendelian randomization.
- Experience leading human genetics projects with collaborators
- Strong scientific curiosity and initiative, knowledge of experimental design
- Excellent problem-solving, teamwork, organization and communication skills.
- Solid foundation in population statistical genetics principles and applications
- Working experience with large samples combining broad phenotypic information or Electronic Health Record data with genotype/sequence data will be a plus (eg. UK Biobank, National Registries, TopMed).
- Experience implementing statistical genetics for drug discovery is desirable
- Hands-on experience in management, analysis and interpretation of large human genomics studies (e.g. Whole-exome sequencing, Whole-genome sequencing, Mendelian randomization)
- Statistical programming and scripting skills (R and Python/Perl/Shell/etc.)
- Ability to translate complex statistics and genetic terms for a non-specialized audience
Ph.D., minimum of 3-5 years post degree experience in statistical genetics, quantitative genetics, biostatistics, computational biology, or related fields.
Ideal candidate will have 1-2 years of industry experience and/or being an independent researchers on the field.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.