QIAGEN · 10 hours ago
Senior Scientist, Data Science, QDI
QIAGEN is dedicated to revolutionizing science and healthcare, seeking a customer-facing Data Scientist to help pharmaceutical and biotech customers translate their research goals into actionable insights. This role involves defining and delivering customer use cases, collaborating with cross-functional teams, and creating impactful materials that demonstrate the value of QIAGEN’s data solutions.
Responsibilities
Partner with customers to identify high-value scientific and data use cases that leverage QIAGEN’s Biomedical Knowledge Base and related database products and technologies
Translate research questions into clear analytical frameworks and workflows
Develop detailed documentation, visualizations, and presentations to communicate scientific and business impact
Support the pre-sales process by preparing and delivering technical demonstrations, workshops, and proof-of-concept discussions
Collaborate closely with Field Application Scientists, Sales, and Customer Success Managers to align customer needs with QIAGEN’s data solutions
Act as a scientific liaison, capturing and refining customer requirements to inform internal prioritization and delivery
Work with internal teams (Product Development, Engineering, Content Curation, and Marketing) to ensure customer feedback and requirements are clearly understood and delivered
Participate in review sessions to validate that internal outputs meet scientific and use-case expectations
Help create consistent messaging and materials that bridge customer value with product capabilities
Develop customer-facing materials such as white papers, use case summaries, and case studies that highlight successful implementations
Represent QIAGEN at conferences, webinars, and customer meetings as a scientific thought leader
Engage with Key Opinion Leaders (KOLs) to align use cases with emerging trends in drug discovery and biomedical research
Qualification
Required
PhD in Bioinformatics, Computational Biology, Computer/Data Science, or a related biomedical discipline, or MS with equivalent industry experience
Experience engaging with pharma or biotech customers in a scientific, data science, or pre-sales capacity
Proficient in Python, R, or equivalent languages for data analysis
Strong understanding of biomedical and omic data structures, knowledge graphs, and network biology concepts
Excellent presentation and storytelling ability, capable of simplifying complex technical concepts for diverse audiences
Experience collaborating with sales, product development, and field science teams in customer-facing roles
Entrepreneurial mindset with a bias for action and clarity
Confident communicator who can influence without authority and drive consensus around customer priorities
Preferred
Familiarity with graph database visualization and queries (e.g., Neo4j/Cypher) and ontology-based reasoning is desirable
Exposure to Large Language Models (LLMs) or AI-driven discovery tools is a plus
Location: Home based with up to 15% travel. (East Coast preferred)
Benefits
Bonus/Commission
Local benefits
Referral Program
Volunteer Day
Internal Academy (QIALearn)
Employee Assistance Program and internal QIAGEN communities
Company
QIAGEN
QIAGEN provides technologies and products for preanalytical sample preparation and linked molecular assay solutions.
H1B Sponsorship
QIAGEN has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2022 (4)
2021 (3)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$754M2025-08-28Post Ipo Debt· $750M
2022-04-04Acquired
2021-10-22Grant· $4M
Leadership Team
Recent News
2026-01-22
2026-01-22
2026-01-22
Company data provided by crunchbase