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Rocket Pharmaceuticals

Gene therapies for rare inherited diseases

Director, Business Insights and Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • A bachelor's degree is required.
  • The candidate must have 12 years of relevant biopharma experience, including business insights, analytics, forecasting, epidemiology, market research, real-world data analytics, strategic insights, or related functions.
  • The candidate must have strong experience in disease modeling, epidemiology modeling, forecasting, advanced analytics, market research, and integration of complex data sources to support strategic decision-making.
  • The candidate must have a strong understanding of qualitative and quantitative market research techniques.
  • The candidate must have experience with real-world data analytics, claims and electronic health record analytics, patient-identification approaches, and forecasting models.
  • The candidate must have experience building or managing integrated analytics platforms, data engines, dashboards, or recurring insight-generation processes.
  • The candidate must demonstrate functional leadership and the ability to create structure when data are incomplete, fragmented, or evolving.
  • The candidate must be able to partner effectively across functions.
  • The candidate must have project management skills and be able to lead multiple complex projects and priorities in a fast-paced environment.
  • The candidate must be able to move from high-level strategic questions to detailed implementation, assumptions, analytics design, and decision-ready outputs.
  • The candidate must have written, verbal, and presentation skills to communicate complex analytics, epidemiology models, and disease-modeling assumptions clearly to leadership and cross-functional audiences.

Responsibilities

  • Assist in leading and executing the development of business insights and analytics strategy for Rocket’s portfolio of gene therapies for rare and genetically defined cardiomyopathies.
  • Lead forecasting for pipeline gene therapy assets and develop and apply disease-modeling and forecasting approaches to estimate market size, patient segments, addressable populations, and treatment-eligible populations in rare genetic cardiomyopathies using data science, advanced modeling techniques, and genotype- and phenotype-based approaches.
  • Build, maintain, and continuously refine a rare cardiology data and analytics platform to help drive diagnosis of genetic cardiomyopathies and enable field-based colleagues to focus market-development efforts.
  • Lead integrated secondary-data analytics and primary market research to understand diagnostic pathways and barriers to patient identification and navigation, and help shape and prioritize disease education and market-development opportunities.
  • Integrate real-world data, primary market research, field-based insights, and market intelligence into a connected analytics platform.
  • Mine data and integrate fragmented rare-disease evidence from real-world data, literature, expert input, field-based insights, and emerging analytics tools to generate insights.
  • Identify novel approaches to insight mining, including advanced analytics, data science, generative artificial intelligence, machine-learning-enabled evidence synthesis, and methods for translating complex signals into actionable insights.
  • Partner with cross-functional teams and field-based colleagues to define strategic questions and knowledge gaps, then develop integrated approaches using analytics, market research, secondary data, real-world evidence, external and field insights, and market intelligence.
  • Partner with information technology, data vendors, and external analytics partners to establish scalable systems, platforms, dashboards, and recurring insight-generation processes.
  • Oversee efficient and compliant use of market research, analytics, and data investment budgets, including adherence to privacy, adverse-event reporting, country procedures, and compliance requirements.

Desired Qualifications

  • An MBA, Master of Public Health, Master of Science, PhD, PharmD, MD, or another advanced degree in business, analytics, epidemiology, public health, life sciences, data science, statistics, or a related field is preferred.
  • Experience in rare disease, gene therapy, cardiology, or cardiovascular medicine is highly desirable.
  • Candidates who can leverage machine learning, generative artificial intelligence, and other emerging data science tools to accelerate insight generation and modeling are preferred.
  • An entrepreneurial spirit and innovative mindset are desirable.

About the Company

Rocket Pharmaceuticals

Gene therapies for rare inherited diseases

Rocket Pharmaceuticals develops gene therapies for rare inherited diseases using viral vectors to deliver a working copy of a gene to patient cells. It utilizes adeno-associated virus (AAV) and lentiviral platforms to target disorders of the heart, blood, and other organs, including Danon disease, arrhythmogenic cardiomyopathy, and Fanconi anemia. The company conducts research, clinical development, and manufacturing of investigational therapies, often in collaboration with clinical and research partners, to bring first treatments to diseases with few or no approved options. Its goal is to provide the first gene-therapy treatments for patients with rare inherited diseases that currently have limited or no approved options.

Company size
201-500
Company stage
IPO
Headquarters
Cranbury Township, New Jersey
Founded
2015

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