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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Cambridge, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $138,600.0 - $234,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Bioinformatics, Cloud Computing, Computational Biology, Computer Networks, Information Engineering, Data Warehousing, Decision Support Systems, Programming Tools, Document-Oriented Databases, R (Programming Language), Inventory Management Software, Python (Programming Language), Machine Learning, Metadata, Operational Data Store, Open Source Technology, Power BI, Salesforce.Com, SAS (Software), SQL Databases, Tableau (Software), Workflow Management Systems, Data Processing, Pytorch, Large Language Models, Snowflake, Palantir Foundry, Deep Learning, Agentic-AI, Data Strategy, Pandas, Data Lakes, AI Platforms, Pyspark, Information Technology, Free and Open-Source Software, Data Management, Claude, Google Gemini, Software Version Control, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/all/all/aa3829ef-314d-4177-9e13-9850f9b716a7

## About the Role

* PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience.

 * 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry

 * Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows.

 * Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred.

 * Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms.

 * Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products.

 * Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS).

 * Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization.

 * Strong communication, interpersonal, ethical, self-awareness, and customer service skills.

## Description

Physics
Research
Metadata
Genomics
Claude AI
Governance
Innovation
Data Lakes
Databricks
Agentic AI
Mathematics
Scalability
Data Science
Communication
Presentations
Data Modeling
Deep Learning
Data Strategy
Google Gemini
Drug Discovery
Self-Awareness
Bioinformatics
Version Control
Customer Service
Computer Science
Machine Learning
Data Engineering
Palantir Foundry
Agile Methodology
Strategic Planning
Scientific Methods
Project Evaluation
Workflow Management
Amazon Web Services
Computational Biology
Artificial Intelligence
SQL (Programming Language)
Snowflake (Data Warehouse)
Python (Programming Language)
Ethical Standards And Conduct
Data Analysis Expressions (DAX)
Microsoft Certified Professional
PyTorch (Machine Learning Library)
Application Programming Interface (API), The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx., Internal Job Title: Senior Expert I/II, Data Science, * Translate scientific and operational AI needs into impactful, decision-enabling solutions.

 * Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products.

 * Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.

 * Prioritize resources against evolving research needs.

 * Establish rigorous project evaluation, deployment, lifecycle, and governance practices.

 * Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams.

 * Provide oversight and onboarding of external vendors and service providers.

 * Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation., Equities
Economics
Operations
Leadership
Governance
Innovation
Statistics
Telehealth
Scalability
Investments
Forecasting
Credit Risk
Elderly Care
Risk Analysis
Emerging Risk
SAS (Software)
Risk Analytics
Macroeconomics
Microsoft Excel
Risk Management
Problem Solving
Computer Science
Financial Market
Vision Insurance
Programming Tools
Financial Analysis
Advanced Analytics
Financial Planning
Business Valuation
Time Off Management
Medical Prescription
Business Mathematics
Business Technologies
Full Stack Development
Decision Support Tools
Business Transformation
R (Programming Language)
Decision Support Systems
Mental Health Counseling
SQL (Programming Language)
Verbal Communication Skills
Chartered Financial Analyst
Data-Driven Decision Making
Employee Assistance Programs
Python (Programming Language)
+0
Product Data Scientist
TEKsystems

Cupertino, CA*Remote

PySpark
Teamwork
Debating
Marketing
Operations
Decision Making
Data Engineering
Business Valuation
Business Development
Full Stack Development
Stakeholder Management
Business Transformation
SQL (Programming Language)
Python (Programming Language)
Tableau (Business Intelligence Software)
+0

Salesforce Developer
Data Scientist IV
TEKsystems

Menlo Park, CA*Remote

Tooling
Power BI
Dashboard
Telemetry
Usability
Operations
Automation
Statistics
Scalability
Reliability
Data Quality
Data Science
Communication
Data Modeling
Data Wrangling
Decision Making
Trustworthiness
Team Leadership
Machine Learning
Data Warehousing
Programming Tools
Computer Networks
Anomaly Detection
Business Valuation
Workflow Management
Business Operations
Operations Analytics
Business Intelligence
Sampling (Statistics)
Full Stack Development
Production Engineering
Operational Data Store
Pandas (Python Package)
Business Transformation
Self Service Technologies
SQL (Programming Language)
Product Family Engineering
Inventory Management System
Document-Oriented Databases
Python (Programming Language)
Tableau (Business Intelligence Software)
+0