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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Rahway, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $129,000.0 - $203,100.0
- **Contract:** Franchise
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Bioinformatics, Computational Biology, Databases, Information Engineering, Data Mining, Data Systems, Data Visualization, Database Design, Digital Assets, R (Programming Language), Monitoring of Systems, Python (Programming Language), Machine Learning, Project Management Software, Language Modeling, Modular Design, Microsoft PowerPoint, Tensorflow, Requirements Management, Software Engineering, SQL Databases, Test Case, Reinforcement Learning, Data Processing, High Performance Computing, Pytorch, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Electronic Medical Records, Generative AI, Data Strategy, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents, Dataiku, Software Version Control, Recurrent Neural Networks, Databricks, Programming Languages
- **Published:** August 8, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/pa/north-wales/b45151b0-4895-4a12-9dce-02089a71d9e6

## About the Role

Research, Ideation
Marketing
Dashboard
Analytics
Economics
Pipelines
Automation
Innovation
Statistics
Compassion
Databricks
Agentic AI
Mathematics
Forecasting
Franchising
Market Trend
Data Science
Data Privacy
Communication
Data Analysis
Presentations
Data Modeling
Data Strategy
Prioritization
Brand Strategy
Pharmaceuticals
Market Research
Database Design
Business Process
Computer Science
Machine Learning
Telephone Skills
Decision Science
Data Engineering
Growth Mindedness
MarTech Solutions
Project Management
Influencing Skills
Strategic Planning
Advanced Analytics
Data Visualization
Workflow Management
Business Strategies
Business Objectives
Infectious Diseases
Microsoft PowerPoint
User Experience (UX)
Contingent Workforce
Strategic Management
Willingness To Learn
Analytical Techniques
Business Intelligence
Waterfall Methodology
Management Consulting
Intellectual Curiosity
Continuous Development
Artificial Intelligence
Relationship Management
Requirements Management
Medical Insurance Claims
Productivity Improvement
Electronic Medical Record
SQL (Programming Language)
Project Management Software
Influencing Without Authority
Generative Artificial Intelligence
Master Of Business Administration (MBA), A minimum of a BS (or equivalent) in Marketing, Business Strategy, Business Consulting, Data Science, Computer Science, Statistics, Mathematics, Decision Science, Economics, Engineering, Public Health, or an equivalent scientific/commercial discipline.

An MBA, Master's, or Doctorate degree in a highly quantitative or commercial discipline is a plus.

Required Experience & Skills

Pharma Analytics: Minimum of 3 plus years of relevant knowledge using data science and/or analytical techniques to deliver measurable impact in the commercial pharma landscape.

Pharma Data Assets: Knowledge in mining medical claims/EMR, social media, etc. data with a strategic/inquisitive mindset and a proven record of being able to produce actionable business insights that drive positive commercial results.

Database & Query Skills: Ability to extract data from various database tables using tools such as SQL, Databricks, Dataiku to develop features and datasets to be used in commercial analysis.

Effective Storytelling: Strong communication skills using effective storytelling grounded on data insights.

Methodological Awareness: Ability to provide guidance and help define tactics and strategies to implement targeting and segmentation schemes using predictive and machine learning models.

Presentation Formulation: Comfort formulating actionable insights and recommendations from commercial analytics into presentations (using PowerPoint etc.) and co-presenting results to various levels of franchise management.

Pharma Industry Knowledge: Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space.

Matrix Navigation: Effective organizational and project management skills to navigate a complex matrix environment and organize/prioritize work efficiently and effectively.

Tech-Forward Mindset: Openness and motivation to build skills in AI, machine learning, and automation (specifically learning how agentic AI and automated pipelines can enhance commercial analytics and reporting).

Work Location

Location: Upper Gwynedd, PA or Rahway, NJ.

Model: Hybrid (expected to be in the office at least 3 days/week, Monday through Thursday)., Business Analysis, Data Analytics, Data Science, Data Visualization, Stakeholder Relationship Management, Strategic Planning, Requirements Management, Innovation, Artificial Intelligence (AI) Adoption, Brand Growth, Brand Strategy, Business Intelligence (BI), Business Strategies, Commercial Analytics, Commercial Strategies, Computer Science, Continuous Learning, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Infectious Disease, Machine Learning (ML), Market Research, Project Management, Software Development, Stakeholder Relationship Management, Strategic Management, Strategic Planning, Waterfall Model, Tooling
Biology, Physics
Planning
Oncology
Research
Medicare
Medicaid
AI Agents
Innovation
Immunology
Statistics
Caregiving
Proteomics
Testability
Probability
Data Science
Communication
Data Analysis
Data Modeling
Deep Learning
Prioritization
Drug Discovery
Modular Design
Histopathology
Medical Records
Version Control
Test Automation
Trustworthiness
Real World Data
Data Processing
German Language
Computer Science
Drug Development
Causal Inference
Machine Learning
Data Engineering
Thought Leadership
Workflow Management
Infectious Diseases
Functional Genomics
Time Off Management
Software Engineering
Statistical Modeling
Technical Leadership
Collective Bargaining
Postdoctoral Research
Computational Biology
Artificial Intelligence
R (Programming Language)
Authorization (Computing)
Verbal Communication Skills
Python (Programming Language)
Medical History Documentation

## Description

The Senior Specialist, US Market Engagement (USME) will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform brand strategy, help meet in-line brand growth and commercial objectives.

This hybrid role requires the individual to be a key partner to the US Vaccines Marketing Team, supporting analytics execution across the portfolio (Adolescent, Adult, and Ecosystem). This person will be business facing and will connect the dots" across the broader DHH capability ecosystem, partnering closely with teams in market research, forecasting, payer insights & analytics, data science, data strategy, and data solutions.

The preferred candidate should have intellectual curiosity, an entrepreneurial spirit, a consultative mindset, and a strong understanding of healthcare & pharma marketing. The person should be able to identify the data, analytics, and research needs to define, enable, and inform commercial strategies of our brand and business leaders. The candidate will have a growth mindset, embody a culture of continuous learning, and possess strong technical and communication skills.

Primary Job Function and Key Responsibilities

Stakeholder Partnership: Thoroughly appreciate the assigned internal stakeholder business needs and priorities to help build analyses promoting business objectives by delivering actionable insights.

Analytic Accountabilities: Be accountable for ensuring delivery of analyses with high quality standards, timeliness, compliance, and excellent user experience (routinely keeping stakeholders and USME leads updated on progress).

Data Mining & Analytics Execution: Mine and analyze data leveraging advanced analytical/statistical techniques from disparate databases/sources (claims data/EMR Data/Sales/Distributions and other commercial sources) to drive optimization and improvement of therapy area commercial strategies.

Capability Ownership: Connect the dots across various commercial capabilities (e.g., dashboards, MMx, MarTech capabilities etc) to synthesize cohesive insights and actively inform platform/capability enhancements that directly align with evolving Marketing team needs.

AI Innovation, Automation, & Digital Mastery: Demonstrate strong interest, baseline mastery, or a proactive willingness to learn next-generation technologies (specifically Generative AI, agentic workflows, and LLMs). Actively identify, pilot, and champion the integration of AI-driven automation to streamline routine reporting, automate data narratives, and drive efficiency within a regulated environment (complying with data privacy and compliance guidelines).

Advanced Methodologies & Innovative Experimentation: Convey new trends and analytical methodologies being implemented/considered within the company ecosystem and bring new ideas forward that enhance the analytic capabilities of the organization. Contribute directly to innovative experiments, idea generation, and incubation, identifying tangible and measurable criteria to improve business processes and strategies.

Influence & Communication: Effectively convey analyses and positively influence stakeholders, supporting the USME team by translating data into actionable commercial stories and co-presenting performance readouts to marketing leadership., Tooling
Marketing
Dashboard
Annuities
Test Case
AI Agents
Vertex AI
Claude AI
Leadership
Statistics
Agentic AI
Wholesaling
A/B Testing
Fundraising
AWS Bedrock
Data Science
Azure OpenAI
Communication
Observability
Systems Design
Failure Causes
Tax Accounting
Social Security
Agentic Systems
Computer Science
Causal Inference
Machine Learning
Virtual Training
Value Realization
Business Valuation
Financial Services
Workflow Management
Product Engineering
Retirement Planning
Multi-Agent Systems
Artificial Intelligence
Employment Applications
Applied Machine Learning
Go (Programming Language)
SQL (Programming Language)
Balancing (Ledger/Billing)
Employee Assistance Programs
Business Continuity Planning
Health And Wellness Coaching
Python (Programming Language)
Artificial Intelligence Infrastructure
Application Programming Interface (API)
Applications Of Artificial Intelligence
Machine Learning Model Monitoring And Evaluation, Operations
Leadership
Governance
Innovation
Statistics
Compassion
TensorFlow
Toxicology
Ethical AI
Agentic AI
Forecasting
Data Science
Communication
Life Sciences
Data Modeling
Drug Discovery
Bioinformatics
Responsible AI
Agentic Systems
Computer Science
Causal Inference
Machine Learning
Telephone Skills
Data Engineering
Pharmacovigilance
Bayesian Modeling
Data Visualization
Prompt Engineering
Application Design
Workflow Management
Amazon Web Services
Multi-Agent Systems
Software Development
Contingent Workforce
Computational Biology
Reinforcement Learning
Foundation Engineering
Mathematical Chemistry
Artificial Intelligence
Relationship Management
Large Language Modeling
Computational Chemistry
Environmental Toxicology
High Performance Computing
Uncertainty Quantification
Machine Learning Frameworks
Python (Programming Language)
Recurrent Neural Networks (RNNs)
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations)
Transformer (Machine Learning Model)
Application Programming Interface (API)
+0


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