Arrowhead Pharmaceuticals
Sr. Scientist I, Translational Genetics & Real-World Evidence
San Diego, California, United States · Senior
Sponsorship not specified$145k-$165kDetected 18 days ago
PythonMachine LearningData AnalysisData ScienceLLMsEHR/EMRBioinformaticsResearchAnimal StudiesLeadershipCommunicationProblem SolvingBiostatisticsEpidemiology
About the role
- The 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.
- 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.
Responsibilities
- Translate genetic findings and clinical observations into hypotheses that inform biomarker strategies, patient stratification, and clinical trial design
- Develop scalable analytical workflows to integrate genetics, omics, and clinical data sources
- Work collaboratively with cross-functional teams including Discovery Biology, Clinical Development, Translational Medicine, and Data Science to support program decisions
- Manage multiple projects simultaneously and communicate progress and findings effectively to project teams and leadership
- 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.
- 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.
Requirements
- 3+ years of experience in human genetics, biomedical data science, or real-world data analytics
- Experience working with biobank-scale datasets and real-world data sources such as EHR, claims databases, registries, or population cohorts
- Experience integrating genetics, omics, and clinical datasets
- Proficiency in R or Python for large-scale data analysis
- Ability to work effectively in a fast-paced, collaborative, and cross-functional research environment
- Experience analyzing large-scale population genetics datasets such as UK Biobank, FinnGen, All of Us, or Genomics England
- Familiarity with analytical frameworks including phenome-wide association studies (PheWAS), Mendelian randomization, causal inference methods, and survival analysis
- Experience working with real-world clinical data models such as OMOP / OHDSI
- Experience collaborating with clinical development or real-world evidence teams
- Candidates must have current, valid authorization to work in the country where this role is located.
Compensation
- California pay range
Benefits
- Collaborate with the Real-World Evidence (RWE) team to analyze clinical datasets including electronic health records (EHR), claims databases, registries, and longitudinal cohort data
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