BN31T1 Data Scientist, Technical Manager, Life Sciences & Drug Discovery

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 118 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide.

CAS is currently seeking a Data Scientist Technical Manager specializing in Life Sciences and Drug Discovery. This position will be located in our headquarters in Columbus, Ohio.

This is a senior individual contributor role that leads complex analytical projects and initiatives without direct reports. The ideal candidate is a highly self-directed professional who drives innovation in life sciences analytics, guides project ideation and implementation, and serves as a strategic thought leader across the organization.

Key Accountabilities:

Strategic Leadership & Project Management

• Independently conceptualize, design, and execute large-scale analytical projects focused on life sciences and drug discovery applications
• Drive project ideation by identifying high-impact opportunities that leverage scientific data to accelerate drug discovery and development processes
• Manage multiple complex priorities simultaneously while maintaining exceptional quality and meeting strategic business objectives
• Lead cross-functional project teams as a technical expert and strategic advisor, influencing outcomes without formal authority

Business Impact & Innovation

• Translate complex life sciences challenges into well-defined analytical problems with clear success metrics tied to business value
• Develop and implement cutting-edge AI/ML solutions for drug discovery workflows, including molecular property prediction, compound optimization, and target identification
• Drive strategic business decisions by synthesizing analytical findings and presenting actionable insights to senior executives and C-suite leadership

Technical Excellence & Thought Leadership

• Architect and build sophisticated mathematical models using large-scale chemical and biological datasets
• Evaluate and integrate diverse data sources including chemical structures, bioassay data, clinical trial information, and scientific literature
• Apply advanced artificial intelligence techniques specifically relevant to pharmaceutical research, including cheminformatics, bioinformatics, and computational biology methods
• Solve novel, ambiguous problems using innovative combinations of statistics, machine learning, and domain-specific computational methods

Organizational Influence & Communication

• Serve as the primary data science representative on high-visibility cross-divisional initiatives and strategic planning committees
• Influence and educate stakeholders across all organizational levels through compelling presentations that translate complex analytics into clear business value
• Represent CAS externally by presenting research results at scientific conferences, participating in peer review panels, and publishing in respected journals
• Mentor and develop junior data scientists and interns, fostering analytical excellence across the organization

 Qualifications:

Required:

• Master's Degree in Cheminformatics, Bioinformatics, Computational Chemistry, Computational Biology, Data Science or a related field with 12+ years of progressive experience
• Demonstrated expertise in life sciences analytics with deep understanding of drug discovery processes, pharmaceutical research workflows, and regulatory considerations
• Advanced proficiency with modern data science tools and platforms (for example - SQL, Spark, Python, R, graph databases, cloud platforms) with specific experience in cheminformatics and bioinformatics tools
• Proven track record of independently leading complex analytical projects that delivered significant business impact in pharmaceutical or biotechnology environments
• Expert-level knowledge in quantitative methods, advanced statistics, and machine learning with specific application to molecular and biological data
• Exceptional communication and presentation skills with demonstrated ability to influence senior leadership and drive organizational change
• Strategic thinking capabilities with proven ability to identify high-value opportunities and translate them into successful analytical solutions

 Strongly Preferred:

• PhD in Chemistry, Biology, or a related scientific discipline
• Deep domain knowledge in chemistry, medicinal chemistry, pharmacology, or drug discovery/development processes
• Cloud platform expertise for large-scale scientific computing and analytics
• Consulting or client-facing experience in pharmaceutical or biotechnology sectors

 Additional Requirements:

• Ability to travel as required
• Must be authorized to work in the United States without sponsorship

CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran