Sr. Scientist I, Translational Genetics & Real-World Evidence

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead’s RNAi-based therapeutics leverage this natural pathway of gene silencing.Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.Arrowhead’s corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The PositionThe Senior Scientist will contribute to the integration of human genetics, multi-omics datasets, and real-world clinical data to generate human evidence supporting therapeutic development. This role will work at the intersection of translational genetics, computational biology, and real-world evidence (RWE) analytics to support target validation, patient stratification, clinical endpoint evaluation, and indication prioritization across Arrowhead therapeutic programs. The successful candidate will collaborate closely with the Translational Genetics & Data Science team as well as cross-functional partners including Real-World Evidence, Clinical Development, Translational Medicine, and Discovery Biology. The role will leverage large-scale biobank datasets, electronic health records (EHR), and other clinical datasets to translate human data into actionable insights supporting drug discovery and development. This position will play an important role in converting Arrowhead’s growing access to biobank data and established computational pipelines into high-value insights that inform therapeutic strategy and precision medicine approaches.This role is onsite 5 days a week in San Diego.ResponsibilitiesIntegrate human genetics, multi-omics datasets, and real-world clinical data to generate evidence supporting therapeutic target validation and indication prioritizationAnalyze large-scale biobank and population datasets to identify genetic associations and disease mechanisms relevant to Arrowhead therapeutic programsCollaborate with the Real-World Evidence (RWE) team to analyze clinical datasets including electronic health records (EHR), claims databases, registries, and longitudinal cohort dataConduct statistical and computational analyses to characterize disease progression, patient heterogeneity, and treatment outcomes using real-world datasetsTranslate genetic findings and clinical observations into hypotheses that inform biomarker strategies, patient stratification, and clinical trial designDevelop scalable analytical workflows to integrate genetics, omics, and clinical data sourcesWork collaboratively with cross-functional teams including Discovery Biology, Clinical Development, Translational Medicine, and Data Science to support program decisionsPresent results to internal stakeholders and contribute to internal reports, project discussions, and scientific publicationsManage multiple projects simultaneously and communicate progress and findings effectively to project teams and leadershipAdhere to data governance and compliance standards when working with sensitive clinical datasetsRequirementsPhD in Biostatistics, Statistical Genetics, Epidemiology, Bioinformatics, Computational Biology, Biomedical Data Science, or a related quantitative discipline3+ years of experience in human genetics, biomedical data science, or real-world data analyticsStrong experience leveraging AI/LLMs to accelerate end-to-end research workflows, including coding, data analysis, literature synthesis, and report generation, with demonstrated improvements in efficiency and output quality.Experience working with biobank-scale datasets and real-world data sources such as EHR, claims databases, registries, or population cohortsStrong background in statistical genetics, epidemiology, or observational data analysisExperience integrating genetics, omics, and clinical datasetsProficiency in R or Python for large-scale data analysisExcellent problem-solving, analytical, and communication skillsAbility to work effectively in a fast-paced, collaborative, and cross-functional research environmentPreferredPost-doc and industry experienceExperience analyzing large-scale population genetics datasets such as UK Biobank, FinnGen, All of Us, or Genomics EnglandFamiliarity with analytical frameworks including phenome-wide association studies (PheWAS), Mendelian randomization, causal inference methods, and survival analysisExperience working with real-world clinical data models such as OMOP / OHDSIExperience collaborating with clinical development or real-world evidence teamsExperience applying machine learning or advanced statistical methods to biomedical datasetsStrong interest in translating human data into actionable insights for drug developmentCalifornia pay range $145,000—$165,000 USDArrowhead provides competitive salaries and an excellent benefit package. 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