Salesforce Developer

The Oncology Data Science team in Biomedical Research works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering to advance innovative therapeutics across drug modalities. We are seeking a highly motivated Senior Expert I / Expert II, Data Science to join the New Targets team as an experienced individual contributor. This role will apply advanced statistical, machine learning, and computational approaches to generate biological insight from complex multi-modal datasets and support target discovery and prioritization. The successful candidate will bring expertise across multiple omics modalities and data types, including spatial transcriptomics, proteomics, digital pathology, mIF or similar high-plex tissue imaging modalities as well as other high-dimensional molecular data such as bulk and single-cell RNA-seq, WES, WGS, etc. The role requires both scientific depth and technical fluency, including modern AI-enabled workflows that improve productivity, reproducibility, and scale.

About the Role

Key Responsibilities

• Lead the analysis and integration of multi-modal omics datasets, including spatial transcriptomics, proteomics, high-plex imaging, and sequencing-based platforms (e.g., RNA-seq, scRNA-seq, WES, WGS)
• Develop and apply advanced statistical, machine learning, and AI-driven methods to extract actionable biological insights from complex datasets
• Partner with cross-functional teams to design and execute studies supporting target identification, validation, and translational research
• Build and contribute to scalable, reproducible data science workflows and computational pipelines
• Ensure high standards of data quality, reproducibility, and scientific rigor in all analyses
• Evaluate and implement emerging technologies, including AI-assisted coding platforms and agentic tools, to enhance team effectiveness and innovation
• Communicate scientific findings clearly to both technical and non-technical stakeholders
• Contribute to knowledge sharing, best practices, and continuous improvement within the computational biology and data science community, Amazon Redshift Data Integration Data Warehousing Agile Methodology Data Architecture Cloud Technologies Systems Engineering Systems Integration Business Operations Amazon Web Services Reporting Solutions Relational Databases Alation Data Catalog Artificial Intelligence Extended Reach Drilling SQL (Programming Language) Critical Illness Insurance Document-Oriented Databases Scrum (Software Development) SQL Server Analysis Services Continuous Improvement Process +0 Data Scientist Actalent Sterling Heights, MI*Remote JIRA MATLAB, Remote Big Data Dashboard Innovation Algorithms Statistics Data Science Communication Data Analysis Data Modeling Apache Hadoop Customer Service Computer Science Machine Learning Solutions Focused Data Visualization Predictive Modeling Product Improvement Advanced Mathematics Programming Languages Business Intelligence Prototype Development Artificial Intelligence R (Programming Language) Authorization (Computing) Exploratory Data Analysis Employee Assistance Programs Python (Programming Language) Tableau (Business Intelligence Software)

Innovation Statistics Proteomics Data Types Scalability Data Quality Data Science Communication Drug Discovery Bioinformatics Self-Motivation Computer Science Data Integration Machine Learning Data Engineering Medical Research Digital Pathology Team Effectiveness Workflow Management Statistical Modeling Emerging Technologies Computational Biology Artificial Intelligence R (Programming Language) Ribonucleic Acid Sequencing Continuous Improvement Process, * PhD (or equivalent experience) in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative discipline

• Demonstrated expertise in the analysis of complex omics datasets and at least one of the following: spatial transcriptomics, proteomics, or digital pathology
• Strong programming skills in R and/or Python
• Experience working with high-performance computing (HPC) environments and workflow management systems
• Deep understanding of statistical modeling, machine learning, and data integration methodologies
• Familiarity with AI-assisted coding tools and modern data science productivity platforms
• Strong collaboration and communication skills, with the ability to work effectively in multidisciplinary teams, Actalent Sterling Heights, MI*Remote JIRA MATLAB Mathcad Planning Power BI Big Data Simulink Metadata Visionary Leadership Innovation Scalability Reliability Data Quality Communication Data Modeling Collaboration Apache Hadoop Schema Markup Data Integrity Data Pipelines Detail Oriented Problem Solving Data Structures Data Governance, Power BI Simulink Dashboard Visionary Leadership Governance Innovation Statistics Mathematics Scalability Reliability Probability Data Storage Data Modeling Data Strategy Data Integrity Data Pipelines Detail Oriented Problem Solving Quality Control Data Governance Data Management Data Validation Vehicle Systems Amazon Redshift Data Warehousing Data Engineering Agile Methodology Analytical Skills Data Architecture Advanced Analytics Cloud Technologies Amazon Web Services Data Infrastructure Data Transformation Alation Data Catalog Mathematical Modeling Artificial Intelligence SQL (Programming Language) Critical Illness Insurance Verbal Communication Skills Data-Driven Decision Making Business Intelligence Tools Extract Transform Load (ETL) Scrum (Software Development) SQL Server Analysis Services Continuous Improvement Process Troubleshooting (Problem Solving) Application Programming Interface (API) +0

The salary for this position is expected to range between:

• Expert II: [$114,100 - $211,900/year]
• Senior Expert I: [$126,000 - $234,000/year]

The final salary and level 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