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ThoughtWorks - Los Angeles, CA
posted about 1 month ago
About the position
The most impactful digital products in the market today are the direct result of a seamless blend of business strategy, design and technology. Orchestrating this behind-the-scenes integration is a Product Manager, who prioritizes the customer experience from vision to execution and, together with their team, guides all workstreams toward a common vision and plan for delivery. Lead Product Managers are trusted advisors to senior stakeholders and are responsible for understanding their needs, driving commercial results and supporting them on their journey to providing more successful customer experiences. Strong pharmaceutical R&D experience in the oncology space and early drug discovery (ADC) to work on projects aimed at developing data driven AI based platforms. The ideal candidate will have a solid background in analyzing R&D processes and data-systems and will work with subject matter experts to capture requirements that align with the green field AI solutions and data product needs. This position will be onsite in the cities of San Diego, Seattle or Los Angeles.
Responsibilities
- Analyze and assess existing-planned R&D processes, systems, and workflows within the pharmaceutical industry.
- Work closely with researchers, leads, SMEs, data modelers, and project teams to capture and document detailed business and technical requirements.
- Following Agile principles, collaborate in the development of data driven AI based platforms models to ensure alignment with business goals.
- Identify process improvements and recommend solutions for better data management, integration, and use within R&D.
- Communicate business requirements clearly to the platform, data modeling and technical teams for effective GxP testing and solution implementation.
- Ensure the project requirements are met within specified timelines while maintaining high quality.
Requirements
- MS/PhD in biology or related human health area.
- Prior top 10 consulting industry experience in a similar role.
- More considerable experience as a Business Analyst, within pharmaceutical R&D, preferably in Oncology.
- Strong understanding of pharmaceutical R&D processes, data, systems, and regulations.
- Strong understanding of agile software development methodologies, and UAT testing and validation.
- Experience working on green field solutions or projects that require innovative data management approaches and use of AI.
- Proven ability to gather, document, and communicate business requirements effectively.
- Prior experience collaborating with data modeling teams.
- Excellent problem-solving skills, with a focus on identifying and addressing business challenges.
- Strong organizational and communication skills.
- Strong skills in MS office tools and slide creation.
Nice-to-haves
- Deep understanding of R&D processes, particularly in oncology and ADCs.
- Experience in working with AI-based platforms and data modeling teams to implement data-driven solutions.
- Strong analytical skills to assess current workflows and recommend improvements in data management and system integration.
- Proven background in working with top-tier consulting firms, blending strategic thinking with practical implementation in life sciences.
Benefits
- Learning & Development programs to support career growth.
- Hybrid working model with remote work options.
- Equal opportunity employer policies.
