Senior Scientist, Data Science, QDI

QIAGEN

20h•$130,000 - $160,000•Remote

About The Position

Join QIAGEN Digital Insights as you help pharmaceutical and biotech partners unlock the power of biomedical knowledge graphs, omics data, and AI‑driven discovery. In this customer‑facing data science role, you translate complex research questions into actionable analytical workflows, build compelling scientific narratives, and shape how customers realize value from QIAGEN’s data solutions. You collaborate closely with Sales, Field Application Scientists, Product, Engineering, and Marketing — all while influencing outcomes without direct product development responsibilities.

Requirements

PhD in Bioinformatics, Computational Biology, Data Science, or related biomedical field, or MS with equivalent industry experience.
Experience engaging with pharma or biotech customers in data‑driven, scientific, or pre‑sales settings.
Proficiency in Python, R, or related languages for data analysis.
Strong understanding of biomedical/omic data structures, network biology, and knowledge graphs; familiarity with graph queries (e.g., Cypher/Neo4j) is an advantage.
Excellent communication and storytelling abilities, with a proven ability to simplify complex concepts for varied audiences.
Collaborative mindset and comfort working with sales, field science, product, and engineering teams.
US‑based, remote role with up to 15% travel (East Coast preferred).

Nice To Haves

Exposure to LLMs or AI‑enabled discovery tools is a plus.

Responsibilities

Partner with pharma and biotech customers to define high‑value scientific and data use cases leveraging QIAGEN’s Biomedical Knowledge Base and related technologies.
Translate research goals into clear analytical frameworks, workflows, and implementation paths.
Prepare and deliver technical demos, workshops, and proof‑of‑concept discussions during pre‑sales engagements.
Capture and refine customer requirements to inform product prioritization and data delivery.
Create impactful documentation, visualizations, and presentations that clearly articulate scientific and business outcomes.
Collaborate with internal teams — including Product Development, Engineering, Content Curation, and Marketing — to translate customer insights into product improvements and consistent messaging.
Develop scientific collateral such as use case summaries, case studies, and white papers; represent QIAGEN at conferences, webinars, and customer meetings.