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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** San Francisco, CA, United States
- **Salary:** $173,200.0 - $272,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Outlook, Clinical Data Management, Computer Literacy, Data Centers, Data Cleansing, Data Integration, Data Integrity, Data Structures, Data Systems, Decision Support Systems, Electronic Data Interchange (EDI), Electronic Data Capture, File Transfer, Operational Databases, Scrum Methodology, Risk Management Information Systems, Enterprise Data Management, Clinical Data Management System, Enterprise Software Applications, Generative AI, Information Technology, Data Analytics, Data Management, Data Generation
- **Published:** September 26, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nj/rahway/2fc59d4c-2a76-4e27-98d6-28a4008652e5

## About the Role

Biology
Research
Chemistry
Operations
Leadership
Automation
Governance
Innovation
Creativity
Statistics
Compassion
Scalability
Informatics
Data Quality
Data Science
Data Analysis
Presentations
Data Integrity
Regulatory CMC
Bioconjugation
Business Acumen
Problem Solving
Data Management
Computer Science
Telephone Skills
Change Leadership
Organic Synthesis
Biopharmaceuticals
Influencing Skills
Advanced Analytics
Business Valuation
Strategic Thinking
Leadership Studies, Regulatory Compliance
Scientific Literature
Stakeholder Management
Stakeholder Engagement
Digital Transformation
Mathematical Chemistry
Professional Networking
Computational Chemistry
Pharmaceutical Sciences
Self Service Technologies
Data-Driven Decision Making
Product Lifecycle Management
Scrum (Software Development)
Continuous Improvement Process
Enterprise Application Software
Generative Artificial Intelligence, Required

 * Bachelor's degree in Chemistry, Pharmaceutical Sciences, Biology, Data Science, Statistics, Computer Science, Engineering, or related discipline with at least fifteen (15) years of analytical development, chemistry, pharmaceutical sciences, informatics, data science, regulatory CMC, Quality, or a related experience; OR Master's degree with at least ten (10) years or Ph.D. with at least seven (7) years.
 * Proven leadership of data management, informatics, analytics, laboratory systems, enterprise data platforms, or digital transformation initiatives in a regulated environment.
 * Strong people leadership, stakeholder management, and cross-functional influence skills with a track record of building high-performing teams and delivering business results.
 * Working knowledge of data integrity, regulatory requirements, quality systems, laboratory operations, and enterprise system lifecycle management.
 * Strong strategic thinking, business acumen, change leadership, stakeholder engagement, execution, and problem-solving skills, with a track record of delivering measurable business value through people, processes, data, and technology.

Preferred

 * Experience in managing diverse teams of scientists, contractors, and cross-functional contributors.
 * Experience supporting regulatory submissions and post-filing activities from IND through NDA/BLA.
 * Experience applying analytical laboratory expertise to improve scientific data generation, review, and consumption across development, stability, quality, and regulatory workflows.
 * Experience serving as a business owner or product owner for enterprise systems, digital products, or data capabilities.
 * Knowledge of AI/GenAI, advanced analytics, or emerging digital technologies and their application to scientific and regulatory data workflows.
 * Experience delivering trusted, compliant, and inspection-ready scientific and regulatory data that support development, regulatory submissions, and commercial products.
 * Demonstrated ability to develop scalable digital capabilities that improve data accessibility, increase automation, strengthen compliance, and enable data-driven decisions.

Required Skills:
Academic Presentations, Bioconjugation, Computational Chemistry, Creativity, Data Analysis, High-Throughput Experimentation (HTE), Organic Synthesis, Professional Networking, Project Leadership, Research Proposal Development, Scientific Leadership, Scientific Literature Search, Strategic Thinking, Structure Based Drug Design, Synthetic Chemistry, Leadership
Automation
Governance
Innovation
Creativity
Statistics
Compassion
Scalability
Informatics
Data Quality
Data Science
Data Analysis
Presentations
Data Integrity
Regulatory CMC
Bioconjugation
Business Acumen
Problem Solving
Data Management
Computer Science
Telephone Skills
Change Leadership
Organic Synthesis
Biopharmaceuticals
Influencing Skills
Advanced Analytics
Business Valuation
Strategic Thinking
Leadership Studies, Regulatory Compliance
Scientific Literature
Stakeholder Management
Stakeholder Engagement
Digital Transformation
Mathematical Chemistry
Professional Networking
Computational Chemistry
Pharmaceutical Sciences
Self Service Technologies
Data-Driven Decision Making
Product Lifecycle Management
Scrum (Software Development)
Continuous Improvement Process
Enterprise Application Software
Generative Artificial Intelligence
Biologics License Applications (BLA), Leadership
Management
Negotiation
Construction
Data Centers
Market Trend
Communication
Presentations
Risk Register
Risk Management
Problem Solving
Adjuster License
Computer Literacy
Microsoft Outlook
Influencing Skills
Program Development
Business Administration
Organizational Analysis
Risk Management Information Systems, Leadership
Management
Innovation
Biomarkers
Immunology
Collections
Peer Review
Data Quality
Self-Starter
Life Sciences
Data Exchange
File Transfer
Data Cleansing
Data Reporting
Pharmaceuticals
Clinical Trials
Data Structures
Decision Making
Immune Disorder
Data Management
Medical Devices
Data Collection
Drug Development
Data Integration
Data Acquisition
Vendor Management
Trial Master File
Solution-Oriented
Industry Standards
Data Documentation
Emerging Technologies
Operational Databases
Cardiovascular Disease
Sustainable Development
Pre-Clinical Development
Clinical Data Management
Interpersonal Communications
Electronic Data Capture (EDC)
Good Clinical Practices (GCP)
Continuous Improvement Process

## Description

The Director will lead a business-critical organization responsible for regulatory data management, informatics and analytics, and enterprise data system business ownership. This role enables the delivery of trusted scientific and regulatory data across the product lifecycle -- from IND through NDA/BLA submissions, post-filing activities, product monitoring, and inspection readiness- while advancing scalable digital solutions that improve data accessibility, automate manual processes, strengthen compliance, and enable data-driven decision-making. Partnering across Analytical Development, Regulatory CMC, Quality, Digital, our Research & Development Division, and our Manufacturing Division organizations, the Director will align business priorities, deliver sustainable digital capabilities, and build a high-performing team that accelerates scientific innovation and digital transformation, * Lead an integrated organization supporting regulatory data management, informatics analytics, and enterprise data system capabilities that enable scientific excellence, regulatory compliance, and digital transformation.

 * Deliver accurate, traceable, and submission-ready regulatory data across the product lifecycle (from IND, NDA/BLA to post-approval filings).
 * Advance scalable analytics, visualization, and self-service data solutions that support proactive product monitoring, operational transparency, accelerate insights, and support data-driven decisions.
 * Serve as business owner or representative for enterprise data systems, driving strategy, governance, enhancements, adoption, and business value.
 * Translate scientific, regulatory, quality, and business needs into scalable digital capabilities and data solutions that improve efficiency, strengthen compliance, and maximize the value of enterprise data assets.
 * Partner across scientific, regulatory, quality, and technology organizations to deliver scalable, sustainable, and compliant solutions.
 * Drive standardization, automation, and continuous improvement to enhance data quality, traceability, and operational efficiency.
 * Ensure solutions are compliant, inspection-ready, scalable, and aligned with enterprise data and digital strategies.


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