Science Liaison, North America

CausalyNew York, NY
3d

About The Position

Founded in 2018, Causaly’s AI platform for enterprise-scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About Causaly At Causaly, we empower researchers and decision-makers in life sciences to discover insights faster using our AI-powered platform. Our mission is to accelerate scientific breakthroughs by enabling better evidence discovery and decision-making. As part of our Customer Success (CS) organization, the Science team ensures that users derive meaningful scientific and business value from our platform. About the Role As a Science Liaison, you will serve as a trusted scientific partner to our users, helping them onboard successfully, use Causaly effectively in their research workflows, and continuously gain value from the platform. This is an individual contributor role ideal for someone who combines a strong background in life sciences with experience in customer-facing roles and a passion for enabling user success.

Requirements

  • PhD in Life Sciences (biology, biomedical sciences, etc.)
  • Strong presentation and communication skills, especially with scientific audiences
  • Problem-solving mindset and ability to adapt in a dynamic, fast-paced environment
  • Experience working cross-functionally with big teams
  • Curious, collaborative, and mission-driven
  • Native-level English speaker and exceptional written and verbal communication skills

Nice To Haves

  • Previous exposure to scientific software or AI/ML platforms is desirable
  • 2–4 years of experience in a customer-facing, consulting, or user support role in a scientific or SaaS setting is a plus

Responsibilities

  • Enable & Educate Deliver impactful onboarding sessions and training tailored to customer needs and scientific objectives
  • Support development and delivery of educational content (tutorials, webinars, guides)
  • Drive Value & Adoption Guide users in applying Causaly to their scientific use cases, ensuring alignment with their workflows and goals
  • Track and promote product adoption through consultative engagement
  • Provide Scientific Support Address inbound scientific support requests with precision and professionalism
  • Offer white-glove support to high-priority users and troubleshoot complex queries
  • Champion Customer Success Identify and nurture super users to foster internal champions
  • Collaborate with Customer Success Managers on account health, renewal preparation, and growth opportunities
  • Collaborate Cross-functionally Provide scientific input to Product, Marketing, and Sales on user needs and trends
  • Contribute to customer-facing content that showcases scientific impact
  • Amplify the Customer Voice Document user feedback and insights; advocate for their needs within internal teams
  • Participate in initiatives to elevate customer stories, testimonials, and case studies
  • Maintain Operational Excellence Follow best practices in customer engagement tracking and documentation
  • Contribute to the development of scalable processes and tools for the Science team

Benefits

  • 💰 Competitive compensation package
  • 🤓 Personal development budget
  • 🧘 Individual wellbeing budget
  • 🥳 Your birthday off!
  • ♾️ Unlimited time off
  • 🧑‍🍼 12 weeks paid parental leave (after 6 months)
  • 🚀 Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

101-250 employees

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