18 часов назад
Decision Analytics Associate Consultant (Pharma Analytics)
120 000 - 137 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Decision Analytics Associate Consultant (Pharma Analytics) (Pharmaceutical analytics and AI): Applying advanced analytics and statistical modeling to solve pharmaceutical business challenges and deliver data-driven recommendations with an accent on forecasting, patient analytics, market access, and client-facing consulting. Focus on designing analyses in Python, R, SQL, Tableau, SAS, and related tools, leading project delivery, and communicating insights to senior stakeholders.
Location: South San Francisco, California, United States; hybrid working model combining work from home with on-site presence at client or offices. Client-facing travel is required as needed.
Salary: $120,000–$137,000 per year.
Company
is a management consulting and technology firm that combines data, science, technology, and human ingenuity to improve outcomes in life sciences and healthcare.
What you will do
- Apply advanced analytics, statistical models, and data-driven problem-solving to pharmaceutical and life sciences business challenges.
- Design custom analyses using Python, R, SQL, Tableau, Power BI, SAS, Visual Basic, Excel, and related analytical tools.
- Translate business questions into analytical solutions, strategic recommendations, and actionable client insights.
- Lead end-to-end project execution, including planning, workstream management, stakeholder communication, deliverables, and implementation support.
- Use AI, machine learning, generative AI, predictive analytics, and other advanced techniques to improve decision-making.
- Present findings to senior client leaders, manage client relationships, and mentor junior team members.
Requirements
- Bachelor’s or master’s degree in any discipline, with strong quantitative and analytical coursework in areas such as statistics, data science, econometrics, engineering, or applied mathematics.
- 2–4 years of relevant experience in data analytics, business analytics, consulting, or related quantitative roles; a PhD may substitute for work experience.
- Knowledge of pharmaceutical commercial analytics, including forecasting, patient analytics, market access, sales analytics, customer analytics, or real-world data applications.
- Experience leading projects, managing multiple priorities, influencing senior stakeholders, and communicating with executive-level audiences.
- Experience applying AI, machine learning, generative AI, predictive analytics, or advanced analytical techniques to business problems within the last three years.
- English fluency and authorization to work in the United States without current or future employer sponsorship are required.
Nice to have
- Experience supporting pharmaceutical, biotechnology, healthcare, or life sciences clients.
- Consulting experience and exposure to brand strategy, forecasting, market access, patient services, or field operations.
Culture & Benefits
- Cross-functional skills development and custom learning pathways.
- Milestone training programs aligned with career progression.
- Internal mobility opportunities and role expansion paths.
- Flexible work combining home-based and on-site collaboration.
- Comprehensive rewards supporting health, well-being, financial security, time away, and professional development.
Hiring process
- Submit an online application with a full set of official or unofficial transcripts.
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