**Associate Specialist/Analyst - Data Science**

At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats.

Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science.

This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models.

You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics - Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions.

**Who you are**:

- You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation
- You are self-motivated, and have demonstrated abilities to think independently as a data scientist
- You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
- You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks

**Key Responsibilities**:

- Understand the business requirements and support the manager to translate those to analytical problem statements.
- Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding.
- Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task.
- Collaborate with cross-functional teams to design and implement solutions that meet business requirements.
- Present the findings to US DS stakeholders in a clear and concise manner and address feedback.
- Adopt a continuous learning mindset, both technical and functional.
- Develop deep expertise in therapeutic area, with clear focus on commercial aspects.

**Minimum Qualifications**:

- Strong Python/R, SQL, Excel skills
- Strong foundations of statistics and machine learning

**Preferred Qualifications**:

- Advanced degree in STEM (MS, MBA, PhD)
- 1-3 years’ experience in healthcare analytics and consulting
- Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.)
- Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.)
- Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku

Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

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**Employee Status**:
Regular

**Relocation**:
**VISA Sponsorship**:
**Travel Requirements**:
**Flexible Work Arrangements**:
Hybrid

**Shift**:
**Valid Driving License**:
**Hazardous Material(s)**:
**Required Skills**:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Rela