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Commercial Insights Manager (Biotech)

127 352 - 166 666$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Commercial Insights Manager (Biotech): Analyzing competitive landscapes, customer research, commercial data, and real-world health datasets to generate insights for brand strategy and decision-making with an accent on market research, forecasting, and advanced statistical analysis. Focus on building revenue and simulation models, evaluating treatment patterns and survival outcomes, and translating complex quantitative and qualitative evidence into strategic imperatives.

Location: Thousand Oaks, California, United States; may telecommute.

Annual salary: $127,352–$166,666, with an additional salary reference of $149,826.60 per year.

Company

hirify.global is a biotechnology company developing, manufacturing, and delivering medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.

What you will do

  • Analyze competitive landscapes and external trends within therapeutic areas.
  • Translate competitive intelligence and internal strategy into actionable brand insights.
  • Build financial models to estimate future revenue using patient and volume data.
  • Collect and interpret customer insights from healthcare providers, patients, insurance payers, and other partners.
  • Design and analyze quantitative surveys, qualitative interviews, focus groups, and other primary research.
  • Translate business questions into data queries and advise on market strategies, initiatives, and performance.

Requirements

  • Master’s degree or foreign equivalent in Public Health, Chronic Disease Epidemiology, or a related field.
  • University-level coursework, research, internship, thesis, or one year of relevant experience.
  • Experience with competitive landscape assessment, SWOT analysis, customer segmentation, and customer journey mapping.
  • Experience using Python, Tableau, Coginiti Pro, Databricks, Redshift, SQL, R, and Microsoft Excel for analytics and visualization.
  • Knowledge of forecasting, long-range planning, budgeting, Monte Carlo simulation, statistical trending, and uncertainty quantification.
  • Experience analyzing scientific literature and large-scale electronic health record datasets using cohort studies, Kaplan-Meier analysis, causal inference, regression modeling, and cost analysis.

Culture & Benefits

  • Collaborative, innovative, and science-based work environment.
  • Health, dental, vision, life, disability, and flexible spending benefits.
  • Retirement and savings plan with company contributions.
  • Discretionary annual bonus and stock-based long-term incentives.
  • Paid time off, flexible work models, and career development opportunities.

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