In Silico Molecule Design Product Line Owner (all genders) - Inklusiver Job

Sanofi-Aventis Deutschland GmbH; Frankfurt; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

A leading pharmaceutical company in Frankfurt is seeking a Digital In-Silico Molecule Design Product Line Owner. You will oversee the development of in-silico products, collaborating with cross-functional teams to enhance drug discovery. Ideal candidates will have significant experience in product management within a pharmaceutical context and a deep understanding of AI-driven solutions. This role offers opportunities for professional growth and innovation.

Qualifikationen

• 8-10+ years of experience in product management or related field.
• Proven experience in pharmaceutical R&D.
• Strong understanding of biological research.

Aufgaben

• Lead the development of a strategic in-silico product portfolio.
• Collaborate with R&D and data teams.
• Oversee product projects from ideation to execution.

Kenntnisse

Digital product management

AI / ML-driven decision support systems

Drug discovery workflows

Cross-functional team leadership

Excellent communication

Ausbildung

Advanced degree (PhD, MS) in relevant scientific field

Jobbeschreibung

To ensure a rapid processing of your application, please apply only via the "Apply" button. Please include a letter of motivation and a current resume with your application.

About the job

Our Team :

We are an innovative global healthcare company with one purpose : to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

The Digital In-Silico Research team is a key innovation engine within Digital R&D, dedicated to pioneering next-generation digital products that reshape how R&D discovers, designs, and develops new medicines. We harness cutting-edge AI, machine learning, and computational modeling to build transformative in-silico solutions-empowering scientists with predictive insights, streamlining complex workflows, and turning data into decisive action. Our team plays a critical role in accelerating and transform drug discovery and translational research by building AI-powered, in-silico solutions that empower scientists, enhance decision-making, and connect data to action.

As the Digital In-Silico Molecule Design Product Line Owner (PLO) (all genders), you will lead the development and execution of a strategic in silico product portfolio that powers discovery and design across small molecules, biologics, and genomic medicines. Your mission is to deliver advanced AI / ML, modeling and simulation tools, and automation workflows that transform how scientists design, optimize, and validate molecules at scale. You will be accountable for the vision, roadmap, and business value delivery of digital products supporting Integrated Drug Design (IDD), Large Molecule Research (LMR), Genomic Medicines (GMU) and other related platforms. Partnering closely with R&D scientists, data scientists, and digital teams, you will ensure our in silico solutions are science-aligned, user-centered, and scalable.

This Product Line Owner will oversee the delivery of the products from ideation and execution through run and scale, overseeing the development and lifecycle management of portfolio of products, ensuring alignment with R&D business goals and user needs. Collaboration across the organization will be key to delivering a portfolio of high-quality products that drive value for Sanofi.

Key Responsibilities :

Demand Intake & Management :

• Collaborate closely with R&D business stakeholders to develop a clear vision and define operational demand initiatives, ensuring products evolve with R&D business needs and drive high maturity
• Lead the strategic demand ideation of Molecule Design Products, including sourcing external innovation, coordinating with R&D business and key stakeholders, drive ideation working sessions, and ensure effective product prioritization
• Work with team leadership to develop the long-term strategy and delivery roadmap for the portfolio of products
• Collaborate with computational chemists, biologists, and data scientists to identify opportunities for AI application in molecular design

Vertical Product Delivery :

Oversee the development and execution of all product projects and initiatives within your product line, ensuring solutions meet scientists' needs

Manage execution of multiple product lines to ensure accurate delivery and timeliness of the Products, while mitigating issues, risks, and blockers

Drive product development through required governance : build recommendations for go / no-go at stage gates based on supporting data, evidence, and R&D business value to governance bodies with compelling executive summaries and requests

Work with business stakeholders to ensure adoption of product line, via proper business transformation / change management integrating product to existing or new business processes

Collaborate with cross-functional teams and build a culture that fosters knowledge-sharing amongst teams, aiming to resolve any blockers and accelerate product delivery

Ensure effective partnership and communication between externally supporting roles

Be the voice of the customer to drive the development of AI-powered tools for target identification, molecule generation, and property prediction

Work with data science teams to ensure proper validation and benchmarking of AI models against experimental data

Innovation & Team Management :

Act as a change agent and thought leader on Digital opportunities and priorities

Stay current on industry trends, emerging technologies, and best practices in product management and Pharma in silico Research applications

Create a balanced workload for product teams by managing priorities and delivery across products

Act as the primary escalation point for Product Owners and associated Pod delivery teams

Act as the key liaison between R&D business stakeholders & technical teams

About You

Education : Advanced degree (PhD, MS) in a relevant scientific field (e.g., Chemistry, Structural Biology, Bioengineering, Computational Sciences) or equivalent industry experience.

Experience : 8-10+ years of experience in product management, project management in a technical field, R&D data management, or other related field

Skills :

Proven experience in digital product management, particularly in AI / ML-driven decision support systems within the pharmaceutical R&D or life sciences context

Strong understanding of drug discovery workflows and challenges, including molecular design and biological research

Track record of delivering high-impact AI / ML products in pharmaceutical research or life sciences, demonstrating ability to meet time, scope, cost, and quality expectations

Experience leading cross-functional teams and managing complex projects in a large pharma environment

Excellent communication and collaboration skills, with ability to bridge technical and business teams

Strong facilitation skills in design-thinking workshops and ideation sessions with diverse stakeholder groups

Strong problem-solving skills and ability to derive value from data pipelines and workflows to address business challenges

Experience in building and maintaining relationships with stakeholders, understanding their needs, and translating them into effective data products

Note : This role offers opportunities to learn and grow in various aspects of computational chemistry / biology and drug development.

Languages : Business fluent in English

LI-GSA

LI-Onsite

Diversity und Inklusion sind in den Grundwerten von Sanofi verankert und spiegeln sich in unserer Arbeitsweise wider. Wir respektieren die Vielfalt unserer Belegschaft in Hinsicht auf ihre Herkunft, Erfahrungen und Lebensweisen. Wir erkennen die Bereicherung, die diese Vielfalt birgt, und fördern Inklusion sowie eine Arbeitsumgebung, in der diese Unterschiede sich weiter entwickeln können, zur Stärkung des Lebens unserer Mitarbeiter, Patienten und Kunden.