Medical Science Liaison (MSL)
- Company
- xCures
- Location
- United States
- Work type
- Full Time · Remote
- Posted
- 2026-09-22
Job description
Here’s Where You’ll Make An Impact:
xCures is seeking an experienced, analytical, and driven Medical Science Liaison (MSL) to join our growing team. Reporting to the Vice President of Scientific and Medical Affairs, you will engage with key opinion leaders and clinical leadership at client organizations, supporting platform adoption. You will leverage emerging platform tools to showcase the capabilities of the xCures Clinical Clarity Engine, supporting Client Solutions and Customer Success teams in expanding client use cases. You will also articulate client needs to internal Data Science, Product, and Engineering teams to ensure client delight. Outstanding communication and project management skills are essential with an ability to manage multiple complex and unrelated projects simultaneously. Comfort in a remote, fast-paced, growth-phase start-up environment is paramount.
Key Responsibilities
Serve as a key scientific liaison in client and partner discussions, helping to define data needs, manage expectations, and translate clinical and operational requirements into actionable strategies, ensuring alignment with xCures’ technical capabilities.
Lead external discussions around data quality and validation and communicate complex clinical data extraction capabilities and insights (e.g., genomics, oncology treatments, patient outcomes), ensuring clear understanding of product features and scientific accuracy.
Act as a subject matter expert in oncology and real-world data applications during client meetings and external engagements.
Support client research initiatives by advising on the interpretation, provenance, and internal use of real-world data (RWD), including data extracted through AI/ML algorithms such as large language models.
Provide scientific guidance on the design and execution of client-led real-world evidence studies utilizing xCures' platform.
Collaborate with internal product and engineering teams to inform the development of client-facing features and data offerings based on external medical and scientific requirements.
Propose and lead collaborations on joint publications and thought leadership efforts with clients and external researchers.
Represent xCures at conferences and external forums by presenting on platform capabilities, scientific findings, and applications of RWD in oncology, in support of the business development team.
Qualifications
Required Qualifications:
PhD in a life sciences discipline
4+ years of experience as an MSL in the oncology diagnostics industry
Demonstrated ability to translate complex scientific concepts into clear, concise, and actionable insights for diverse audiences
Proven ability to build and maintain strong professional relationships with diverse stakeholders, including C-suite executives, clinical subject matter experts, and internal cross-functional teams (e.g., product, engineering, business development)
Experience with structured clinical data and real-world data analysis
Proven track record of managing multiple complex and unrelated projects simultaneously, with strong organizational and time management skills
Exceptional communication (written and verbal) and presentation skills
Comfort working remotely and with virtual communication platforms
Ability to thrive in a fast-paced, dynamic, and growth-phase start-up environment
Preferred Qualifications:
Significant experience with electronic medical records (EMR) and a deep understanding of the current healthcare data landscape (e.g., Health Information Exchanges (HIE), Qualified Health Information Networks (QHIN))
Strong understanding of data quality principles, data validation processes, and the ability to critically assess the provenance and limitations of real-world data
Demonstrated analytical and problem-solving skills, with an ability to critically evaluate and interpret scientific data
Experience with conversational AI agents
Familiarity with regulatory landscape governing real-world data and its use in healthcare