Senior Scientist Genomics London, United Kingdom Hybrid

Job description

Back to Jobs London BioMarin Pharmaceutical Who We Are BioMarin is a leading rare disease biotechnology company focused on genetically defined conditions. Guided by our purpose to develop medicines that make a profound impact on people’s lives, our global teams have delivered a portfolio of therapies since our founding in 1997. Our revolutionary treatments for conditions like achondroplasia (the most common form of dwarfism), PKU (phenylketonuria), CLN2, a form of Batten disease, and a number of forms of MPS (mucopolysaccharidosis) offer new possibilities for patients and families who previously had few, if any, available options. More recently, with the close of the Amicus acquisition, our portfolio has expanded to include therapies for Fabry disease and Pompe disease, expanding our ability to reach more people living with rare genetic conditions. Our success comes from our unwavering commitment to excellence, our deep understanding of patient needs, our scientific expertise, and our world-class manufacturing capabilities. At the heart of BioMarin is a dedicated team of the brightest minds in the industry working together to deliver innovative therapies to patients and families around the world. About Worldwide Research and Development From research and discovery to post-market clinical development, our R&D engine 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. Senior Scientist, Genomics London ( hybrid role 2 days per week onsite) Closing date 16th October 2026 We’re looking for a Senior Scientist to join our Genomics group at BioMarin. This role will use human genetics, genomics, real-world evidence, and AI to identify and characterize patient populations, inform clinical and commercial patient-finding strategies, and support the development of therapies for genetic diseases. The ideal candidate combines strong quantitative genomics expertise with cross-functional judgment, pragmatism, and the ability to turn incomplete evidence into clear recommendations . Responsibilities Carry out analyses that integrate human genetics, literature, EHR/claims data, genetic-testing data, and other evidence to define disease segments, biomarkers, diagnostic pathways, and patient populations. Partner closely with Clinical, Commercial, Real World Evidence, Research, Business Development, and other teams to translate genomic evidence into actionable clinical and commercial recommendations. Establish and manage external collaborations with academic investigators, CROs, testing laboratories, and data providers, including defining analytical scope, timelines, deliverables, data needs, and decision criteria. Evaluate external cohorts, genetic-testing laboratories, CROs, and data providers for patient-identification, prevalence, and genotype-phenotype analyses. Apply statistical genetics, epidemiology, AI/ML, and advanced statistical methods to large-scale genomic and real-world datasets; ensure analyses are reproducible, appropriately rigorous, and decision-oriented. Contribute to portfolio prioritization and business development diligence as needed by assessing genetic rationale, patient-identification feasibility, population size, and data gaps. Apply and develop statistical and computational approaches to analyze and interpret whole-exome and whole-genome sequence data in combination with phenotypic or other genomic data. Communicate recommendations to scientific and non-scientific stakeholders, clearly distinguishing evidence, assumptions, uncertainty, tradeoffs, and next steps. Required qualifications PhD or equivalent experience in human genetics, statistical genetics, bioinformatics, computational biology, or genetic epidemiology. At least 3 years of biotechnology or pharmaceutical industry experience with demonstrated cross-functional work across research and non-research functions, such as Clinical, Commercial, Real World Evidence, Medical Affairs, Patient Identification, or Business Development. Expertise analysing large-scale human genetic or genomic datasets, such as whole-exome, whole-genome, array, genotype-phenotype, EHR-linked, claims-linked, registry, or clinico-genomic datasets. Familiarity with genomic, real-world, or patient-identification resources such as UK Biobank, All of Us, genetic-testing laboratory datasets, EHR/claims networks, registries, or comparable sources. Experience programming in R and/or Python; experience with cloud computing, workflow systems, or scalable data environments is strongly valued. Hands-on experience applying AI/ML or advanced statistical methods to large biomedical datasets, beyond general-purpose chatbot use. Experience initiating or managing external collaborations with academic groups, CROs, data providers, genetic-testing laboratories, or similar partners. Ability to synthesize multiple evidence types, make assumptions explicit, and recommend a practical course of action when data are incomplete, imprecise, or time-constrained. Strong written and verbal communication skills; comfortable spending a substantial portion of time with clinical, commercial, and other non-research stakeholders. Preferred: Experience with patient finding, prevalence estimation, rare-disease epidemiology, genetic screening, clinical-trial feasibility, or commercial patient-identification strategy. Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned. Equal Opportunity Employer/Veterans/Disabled An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Apply Recruitment Fraud Alert Notice Please be aware of fraud or scams from individuals, organizations and/or internet sites claiming to represent BioMarin in recruitment activities. We have an established recruitment process which is required for all posted positions by BioMarin prior to issuing an offer of employment. This BioMarin process requires formal interviews conducted live with personnel representing BioMarin and never requires payments or fees from job applicants. BioMarin does not conduct interviews via texting tools such as RingCentral. In the event you receive a suspicious email message about recruiting on behalf of BioMarin, unless it’s from a BioMarin authorized recruiting partner, do not provide any personal information or pay any fees. Qualified and interested candidates should apply to current openings directly through this BioMarin website. BioMarin accepts no responsibility for any costs or charges incurred as a result of fraudulent activity. If you have lost money or provided your personal identifying information, please contact your bank and report the matter to the FBI via www.ic3.gov . We would also suggest you notify your local police department and monitor your credit. For more information on how to recognize and report phishing scams visit: https://consumer.ftc.gov/articles/how-recognize-and-avoid-phishing-scams or https://consumer.ftc.gov/consumer-alerts/2023/01/looking-job-scammers-might-be-looking-you Equal Opportunity Employer/Veterans/Disabled An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Appl