Salesforce Developer

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

• 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.

The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, Data Science, and $138,600 and $257,400 USD annually for Senior Expert II, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture