At Roche you can show up as yourself embraced for the unique qualities you bring. Our culture encourages personal expression open dialogue and genuine connections where you are valued accepted and respected for who you are allowing you to thrive both personally and professionally. This is how we aim to prevent stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche where every voice matters.

The Position

Job Responsibilities

• Strategic Opportunity Identification: Discover evaluate and monitor application scenarios for new digital technologies specifically AI and advanced analytics that align with the specific business needs of a pharmaceutical companys commercial operations.
• Project Leadership & Implementation: Participate in project planning related to these initiatives and assist in developing detailed implementation strategies to integrate AI and advanced analytics solutions into commercial processes. Serve as a key technical member of project teams tasked with developing and deploying these solutions ensuring projects advance according to plan.
• Model Design & Development: Design develop and implement statistical models machine learning algorithms and AI techniques relevant to complex commercial data analysis (e.g. sales data prescription data market research data patient data CRM data).
• Cross-functional Collaboration: Collaborate closely with internal cross-functional teams (e.g. Sales Marketing Market Access IT) and external partners to understand business questions and ensure project deliverables are highly aligned with commercial requirements.
• Data Exploration & Evaluation: Perform exploratory data analysis to identify trends patterns and anomalies in commercial data. Evaluate the performance of models and algorithms iterating to improve their accuracy and robustness.
• Continuous Innovation: Continuously monitor advancements and iterations of new technologies to identify opportunities that can bring new value to the company and translate these opportunities into actionable implementable projects to support business objectives.
• Capability Building & Best Practices: Promote the application of AI and advanced analytics techniques within the organization. Assist in training sessions and knowledge-sharing activities to enhance the overall technical proficiency of the team and contribute to the development of best practices for data analysis and interpretation.
• Insight Visualization & Communication: Visualize and communicate complex data insights and findings through reports presentations and interactive dashboards tailored for commercial stakeholders.
• Documentation & Team Contribution: Document methodologies code and results clearly and comprehensively. Participate in cross-functional team meetings and contribute to project planning and execution.

Requirements

• Education: Masters or Ph.D. in Data Science Statistics Business Analytics Computer Science or a related quantitative field.
• Passion for Pharma & Data: Genuine interest and demonstrated experience applying data science AI and advanced analytics to enhance pharmaceutical commercial operations.
• Technical Expertise (AI & Advanced Analytics):
• Proven experience (typically 10 years for Senior Data Scientist) applying data science AI and advanced analytics to real-world business problems ideally within pharma commercial or related projects.
• Proficient in utilizing GenAI techniques such as large language models (LLMs) for data analysis and interpretation.
• Experience in applying Generative AI to develop innovative solutions for complex commercial business problems in the pharmaceutical industry.
• Demonstrated ability to translate business needs into data science problems and deliver actionable insights that drive business value.
• Strong proficiency in programming languages (e.g. Python R) and relevant data science libraries.
• Solid understanding of statistical inference and diverse machine learning algorithms (e.g. regression classification clustering time series NLP deep learning) applicable to commercial data.
• Experience with large commercial datasets (e.g. sales Rx CRM) and cloud platforms (AWS Azure GCP) is a plus.
• Excellent data visualization skills.
• Pharmaceutical Commercial Background:
• Deep understanding of pharmaceutical commercial operations (e.g. sales marketing market access forecasting CRM).
• Direct experience within a pharmaceutical companys commercial functions or significant project contributions to this area. Relevant experience in consulting is a plus.
• Familiarity with pharma commercial data sources and privacy considerations.
• Problem-Solving & Collaboration:
• Strong problem-solving and critical thinking skills with the ability to independently address complex business questions.
• Experience contributing to or leading AI/Advanced Analytics projects.
• Excellent written and verbal communication skills effective in presenting insights to both technical and non-technical stakeholders.
• Ability to thrive in collaborative interdisciplinary and cross-functional team environments.

Who we are

A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver life-changing healthcare solutions that make a global impact.

Lets build a healthier future together.