Japanese Interpreter at Codimite providing real - time interpretation and translation services. Collaborating with teams to bridge language gaps for clients in a dynamic tech - focused environment.
MS
Hybrid Product Manager, Translational Research – Systems Biology, Disease Biology – PharmTox Product Line
Posted 3 months ago
About the role
- Product Manager integrating R&D sciences with IT solutions to support innovative drug discovery. Collaborating with scientists and stakeholders to create effective tools in pharmaceutical research.
Responsibilities
- Partner closely with R&D scientists and Business Technology Partners to own, set, and communicate the product vision, strategy, and outcome roadmap, aligned with strategic priorities.
- Deeply understand user needs (scientists, bioinformaticians, data scientists, lab operations) through interviews, shadowing, and usage analytics.
- Map processes and information architecture to identify pain points and automation opportunities.
- Define clear problem statements, requirements, and success metrics; author Product requirements document, user stories, and acceptance criteria
- Drive solution discovery and rapid prototyping with cross-functional teams to evaluate value, usability, feasibility, and business viability.
- Prioritize features and trade-offs using impact, effort, and risk frameworks; manage backlog and release planning
- Manage scientific applications and lead squads to build user-friendly scientific data and technology products; handle risk assessment and vendor engagement as needed.
- Evaluate internal and external tools (e.g., predictive modeling, simulation, target discovery, biomarker tracking); Manage vendor relationships to influence roadmaps and integrate with internal systems and the data lake.
- Partner with product tech leads to ensure seamless integration across the ecosystem and upstream/downstream systems.
- Apply industry standards and ontologies to develop FAIR (Findable, Accessible, Interoperable, Reusable) applications, advancing in silico models and AI/ML approaches for drug discovery.
- Create and maintain documentation including SDLC deliverables (GxP and non-GxP), guidelines, SOPs, training materials, and user communications.
- Support regulatory audits and inspections by collaborating with stakeholders and Quality units to provide documentation and respond to inquiries.
- Coach teams to adopt a customer-centered product mindset; proactively remove roadblocks and escalate issues to maintain momentum.
- Drive adoption using metrics and user feedback; analyze engagement, create reports/visualizations, and run user groups to inform continuous improvement.
- Promote available capabilities to stakeholders, fostering collaboration and integration across teams to avoid silos.
- Develop a cohesive strategy to manage an orthogonal suite of products and applications, maximizing impact while reducing costs and redundancy.
- Diligently manage total cost of ownership
- Monitor the competitive landscape, standards, and emerging technologies in scientific software and data platforms.
- Use data-driven insights (synthesized from research, observations, and usage) to inform decisions and refine strategy.
Requirements
- 5+ years of experience in scientific software development, pharmaceutical sciences, bioinformatics, target discovery, quantitative systems pharmacology, model-based drug development (MBDD), or scientific data management
- Proven experience leading cross-functional teams to launch and manage software products; define user stories and ensure product development aligns with business requirements.
- Good understanding of MBDD, Pharmacokinetic/Pharmacodynamic modeling and pre-clinical development domain and processes.
- Familiarity with bioinformatics pathway analysis tools and systems biology approaches used in scientific software.
- Experience with scientific modeling tools and workflows (COTS, in-house, open source); ability to assess, integrate, and scale them
- Solid grasp of SDLC and Agile practices; comfortable operating in GxP-regulated environments
- Exceptional communicator who bridges science, engineering, and business; customer-centric and effective in a matrixed organization
- Proficient with product and UX tooling (e.g., Jira, Confluence, Mural, Figma, Balsamiq); capable of producing clear documentation and visuals
- Working knowledge of databases, ontologies, and data standards relevant to drug discovery; familiarity with information modeling (e.g., Visio)
- Proven ability to work independently and asynchronously across time zones, with excellent cross-cultural and organizational communication skills.
- Highly organized, detail-oriented, and strong in time and project management; excellent written and verbal communication
- Experience leading multidisciplinary squads to develop and onboard scientific applications and tools.
Benefits
- medical, dental, vision healthcare and other insurance benefits (for employee and family)
- retirement benefits, including 401(k)
- paid holidays
- vacation
- compassionate and sick days
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