Product Manager (Life Sciences)

Accountabilities

Product Opportunity Identification: Identify opportunities to improve existing products by understanding researchers' needs, challenges, and workflows across the scientific research and publication lifecycle.
Scientific Workflow Analysis: Apply knowledge of scientific research, literature discovery, journal submissions, peer review, and academic publishing to identify practical product solutions that address real-world user challenges.
User Research and Validation: Conduct user research, gather customer feedback, validate assumptions, and identify high-impact opportunities for product development and improvement.
AI-Powered Product Development: Leverage AI tools such as Claude and other AI-assisted development solutions to draft product specifications, explore potential solutions, prototype ideas, and automate workflows.
Product Prioritization: Evaluate user requirements, business opportunities, and technical considerations to prioritize product initiatives and support informed decision-making.
Prototyping and Innovation: Independently explore and develop product concepts, test ideas quickly, and identify efficient ways to turn opportunities into functional solutions.
Performance Measurement: Define relevant product success metrics, analyze product usage data, and evaluate user feedback to measure feature effectiveness and guide continuous improvements.
Product Strategy and Communication: Clearly communicate product vision, priorities, development plans, and strategic trade-offs to cross-functional stakeholders.
Cross-functional Collaboration: Work closely with relevant teams to ensure product initiatives are aligned with user expectations, business objectives, and technical feasibility.
Ownership and Execution: Promote a high-performance culture centered on accountability, speed, ownership, continuous learning, and high-quality execution.
Requirements
PhD in Life Sciences, Biomedical Sciences, or a related scientific discipline; alternatively, 2–5 years of Product Management experience developing products in scientific publishing, scientific SaaS, BioPharma software, Life Sciences technology, HealthTech, or highly technical EdTech.
Strong understanding of scientific research workflows and researcher needs, with familiarity with scientific literature, journal submissions, peer review processes, or academic publishing considered a significant advantage.
User-centric mindset, with demonstrated experience conducting user research, gathering feedback, identifying pain points, and translating insights into actionable product decisions.
Strong analytical and problem-solving abilities, with the capacity to assess user requirements, business opportunities, and technical constraints.
Builder mentality, with the ability to independently create prototypes, validate concepts quickly, and experiment with new product solutions.
Familiarity with AI-assisted development tools, including Claude or similar platforms, and the ability to use AI and no-code tools to accelerate product discovery, specification development, and workflow automation.
Strong product thinking and the ability to connect scientific domain knowledge with practical, user-focused technology solutions.
Excellent communication skills, with the ability to articulate product ideas, priorities, and trade-offs to diverse stakeholders.
Proactive, curious, and adaptable mindset, with a strong willingness to learn and develop Product Management expertise where needed.
Ability to take ownership of projects, work autonomously, and make informed decisions in a fast-paced environment.
Strong organizational skills and the ability to manage competing priorities while maintaining high standards of quality and execution.
Benefits
Competitive compensation package.
Fully remote working environment, offering flexibility in your work location.
Opportunity to make a meaningful contribution to scientific research and education through innovative technology and product development.
Collaboration with international teams in an environment that encourages innovation, knowledge sharing, and professional growth.
Opportunities for career advancement through a strong internal promotion culture.
Exposure to cutting-edge AI tools, scientific technologies, and innovative product development methodologies.
Opportunity to influence product strategy and build solutions that address real challenges faced by researchers and scientific professionals worldwide.