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# Director, Cheminformatics - Modeling & Informatics

- **Company:** CareerCircle
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $236,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Microsoft Excel, 3d Models, Artificial Intelligence, Data Analysis, Bioinformatics, Microsoft Outlook, CAD Data Exchange, Spreadsheets, Cloud Computing, Configuration Management, Computational Biology, SolidWorks (CAD), Data Architecture, Information Engineering, Graph Database, Machine Learning, Microsoft Office, DataOps, Software Engineering, Cloud Platform System, Information Technology, Data Analytics, Machine Learning Operations, Software Version Control
- **Published:** August 14, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ma/boston/ed925fe4-93ba-41c7-ba52-6ac6d4cde47e

## About the Role

Physics, DataOps
Research
Chemistry
Leadership
Innovation
Statistics
Compassion
Biophysics
Mathematics
Scalability
Informatics
Biochemistry
Data Science
Communication
Data Analysis
Team Building
Biostatistics
Data Modeling
Collaboration
Drug Discovery
Decision Making
Cloud Computing
Cheminformatics
Knowledge Graph
Computer Science
Machine Learning
Telephone Skills
Data Engineering
Chemical Biology
People Management
Influencing Skills
Advanced Analytics
Talent Development
Workflow Management
Predictive Modeling
Contingent Workforce
Computational Biology
Stakeholder Engagement
Mathematical Chemistry
Artificial Intelligence
Computational Chemistry
Pharmaceutical Sciences
Dynamic Mechanical Analysis
Influencing Without Authority
MLOps (Machine Learning Operations)
Computer-Aided Drug Design & Discovery
Quantitative Structure Activity Relationship, * BS, MS or PhD in cheminformatics, bioinformatics, chemistry, biology, biochemistry, physics, statistics, computational chemistry, computational biology, data science, AI/ML, computer science, math, pharmaceutical sciences, engineering, or a related STEM field, * PhD and 7+ years of professional experience applying computational and data science approaches to interdisciplinary scientific problems in drug discovery, MS and 9+ years of experience, OR BS and 13+ years of experience.

 * 2+ years of managerial experience with demonstrated strength in team building, talent development, and inclusive leadership
 * Experience designing and implementing modern computational workflows, including coding best practices, cloud-based systems, and MLOps/DataOps approaches
 * Strong understanding of cheminformatics, data analytics, and data engineering in the context of early drug discovery
 * Experience enabling predictive modeling and advanced analytical approaches in a collaborative, matrixed environment
 * Demonstrated ability to collaborate across functions and influence strategy across scientific and technical domains
 * Experience engaging effectively with IT organizations to co-develop scalable platforms
 * Strong communication and stakeholder engagement skills, with the ability to translate complex technical concepts into actionable solutions

#EligibleforERP, Artificial Intelligence (AI), Cheminformatics, Chemistry, Cloud Computing, Computational Chemistry, Computer Aided Drug Design, Data Modeling, Data Science, Drug Discovery Process, Machine Learning (ML), Model Development, People Management, Quantitative Structure Activity Relationship (QSAR), Stakeholder Engagement, Stakeholder Relationship Management, Metrology
Visionary
Innovation
Electricity
Reliability
Prototyping
3D Modeling
Sheet Metal
Fabrication
Workmanship
Spreadsheets
Supply Chain
Traceability
Communication
Machine Tools
CNC Machining
Semiconductors
Systems Design
Vacuum Systems
Detail Oriented
SolidWorks (CAD)
Assembly Drawing
Machinery Design
Change Management
Bill Of Materials
Power Electronics
CAD Data Exchange
Thermal Management
Library Management
Electrical Diagrams
Mechanical Drafting
Hydraulic Machinery
Time Off Management
Constructive Feedback
Mechanical Engineering
Artificial Intelligence
Technical Documentation
Product Data Management
Configuration Management
Engineering Change Order
Engineering Design Process
Data Version Control (DVC)
Performance Systems Analysis
Continuous Improvement Process
Computer Numerical Control (CNC)
Geometric Dimensioning And Tolerancing
ASME Boiler And Pressure Vessel Code (BPVC)

## Description

The successful candidate will bring exceptional matrix leadership and managerial skills to drive cheminformatics and data science innovation that amplifies pipeline impact across our discovery organization. They will lead a team of highly skilled cheminformatics professionals and create an environment that supports the growth of data science talent through sustained engagement with stakeholders in chemistry, biology, and IT.

In this role, the candidate will guide the development and application of cheminformatics capabilities that enable and enhance decision-making across the drug discovery process. The team serves as a force multiplier-translating key scientific questions into scalable data architectures, workflows, and algorithmic innovations that are broadly deployed across programs.

They will partner closely with stakeholders to ensure optimal use of resources and platforms provided by our research division's IT department, and to embed cheminformatics solutions into the DMTA cycle. Through active participation in cross-functional and cross-divisional data science communities, they will help shape and advance a data-fluent culture across the organization.

As a people manager, the successful candidate will demonstrate a passion for talent development and foster a diverse, inclusive, and high-performing team culture that empowers individuals and strengthens collaboration across sites.

Responsibilities

 * Sets vision and strategy for cheminformatics capabilities and platforms that accelerate scientific learning and decision-making in drug discovery
 * Leads a multi-site team of cheminformatics and data science specialists, spanning data engineering, analytics, and scientific software development
 * Actively develops talent, fosters diversity of thought, and builds an inclusive culture that engages and empowers all team members
 * Engages stakeholders across the drug discovery spectrum-from early target identification and chemical biology through lead optimization and safety-to understand needs and enable impactful solutions
 * Translates scientific challenges into scalable data architectures, workflows, and algorithmic approaches that can be broadly leveraged across multiple projects
 * Drives development of next-generation cheminformatics workflows through integration of modern technologies, including machine learning (e.g., generative and predictive modeling), knowledge graphs, and emerging AI approaches
 * Ensures that developed capabilities are effectively deployed and adopted in collaboration with project teams and modeling partners
 * Builds and maintains strong partnerships with IT to co-develop robust, sustainable platforms supporting scientific workflows
 * Balances strategic investment in new capabilities with effective utilization of existing solutions to maximize organizational value
 * Collaborates with leaders across Bioinformatics, Biostatistics, Quantitative Biology, and Modeling to align on data science strategy and priorities
 * Contributes to cross-divisional alignment on the role of data science and informatics in the organization
 * Works closely with Modeling, Structure, and Biophysics leadership to identify opportunities where cheminformatics can enhance broader modeling and discovery efforts
 * Maintains visibility across the discovery portfolio to identify emerging needs and opportunities for scalable cheminformatics support, Auditing
Research
Pipettes
Operations
Investments
Calculations
Communication
Life Sciences
Biotechnology
Pharmaceuticals
Microsoft Excel
Microsoft Office
Support Services
Microsoft Outlook
Technical Services
General Mathematics
Laboratory Equipment
Organizational Skills
Intellectual Curiosity
Commercial Real Estate
Artificial Intelligence
Laboratory Instrumentation
+0
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TEKsystems

Framingham, MA*On-Site

Operations
Hand Tools
Low Voltage
Business Valuation
Aerial Work Platforms
Full Stack Development
Artificial Intelligence
Business Transformation
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