Data jobs in Basel

What you would do

• Collaborate with senior data scientists to understand business challenges and analytical requirements.
• Support data collection, data cleaning, exploratory data analysis, and interpretation of results.
• Generate data visualizations and communicate findings to stakeholders.
• Assist in machine learning model development workflows including feature engineering, model selection, and validation.
• Document analytical approaches and processes for knowledge sharing and reproducibility.
• Contribute to advanced analytics projects focused on Supply Chain and Manufacturing optimization.

Skills

What you would do

• Design and implement data ingestion, transformation, and delivery pipelines for AI, analytics, and automated business processes.
• Integrate structured and unstructured data from databases, APIs, documents, event streams, and cloud storage.
• Develop data products, datasets, feature pipelines, and retrieval-ready knowledge bases for ML and generative AI.
• Implement data quality checks, validation, observability, monitoring, and error handling.
• Perform document processing, metadata extraction, classification, data enrichment, and information retrieval.
• Apply data security, access control, privacy, lineage, metadata, and governance.

Skills

What you would do

• Own the vision, architecture and roadmap for agentic AI across discovery, translational science, clinical development and commercialization.
• Identify high-value scientific workflows and redesign them around AI agents.
• Build data and knowledge layers integrating omics, clinical, chemistry, assay, literature, patent and regulatory data.
• Develop connectors, APIs, semantic and metadata layers, and retrieval systems (vector, hybrid, knowledge graph).
• Deploy secure, auditable agentic systems with human-in-the-loop oversight, tracing, permissioning and monitoring.
• Establish evaluation frameworks including task benchmarks, factuality and provenance checks, failure-mode analysis, reproducibility, and latency and cost tracking.

Skills

What you would do

• Own the CRM and associated data and business processes.
• Further develop and parameterize the CRM system.
• Create SQL queries, data analyses and selections.
• Ensure and further develop data quality.
• Record and technically implement new business requirements.
• Develop reporting and analytics with Power BI/Data Mining perspective.

Skills

What you would do

• Work on a jointly agreed-upon scientific, clinical research or global health project under Novartis mentorship.
• Participate in a leadership development program.
• Attend program and training activities.
• Apply state-of-the-art research methodologies learned during the internship within their home institution.

Skills

What you would do

• Develop and further develop demanding software solutions and new features from conception through implementation to go-live.
• Ensure functional and technical requirements are met with performance, quality, and security.
• Maintain and refactor existing legacy systems, driving their gradual modernization.
• Use AI-supported tools in daily development and integrate AI tools responsibly.
• Develop AI-based ML and LLM features for products and processes with regard to customer benefit, reliability, and data protection.
• Handle incidents and support customers and internal support with technical problems.

Skills

What you would do

• Act as the primary IT business partner to the Engineering organization, aligning business priorities with digital and IT solutions.
• Lead the delivery, support, and continuous improvement of Engineering applications and services across the enterprise.
• Drive operational excellence by ensuring reliable, high-performing, user-focused technology services.
• Identify and implement opportunities leveraging AI, automation, and advanced analytics to enhance engineering processes and productivity.
• Develop and execute the Engineering technology roadmap in collaboration with business stakeholders and Global Process Owners.
• Manage project portfolios, system enhancements, and application lifecycle activities to deliver business value.

Skills

What you would do

• Performing and documenting DSC measurements and gel time analyses on epoxy resin systems.
• Carrying out incoming, process, and final quality controls.
• Prioritizing and organizing laboratory orders and ensuring timely testing.
• Documenting and maintaining test results in the ERP system (SIVAS) and standardized test protocols.
• Participating in the further development and optimization of test methods.
• Supporting the establishment of new analytical methods such as FTIR or rheology.

Skills

What you would do

• Develop and deploy translational and applied AI frameworks for Immunology and CVRM portfolios.
• Build explainable and causal AI models (causal models, symbolic regression, counterfactual inference) to map disease pathways and validate targets.
• Adapt and fine-tune biological foundation models to predict novel therapeutic targets in immune diseases and CVRM.
• Implement adversarial domain adaptation and cross-species translation to align animal model phenotypes with human patient endotypes.
• Leverage patient-level multi-omics, spatial profiles, and real-world clinical data to define mechanistic patient selection criteria.
• Construct physics-informed models (Neural ODEs, PINNs) for physiological kinetics and digital twins.

Skills

What you would do

• Design and deploy agentic workflows using LangGraph, CrewAI, or AutoGen to automate clinical data management tasks.
• Build multi-agent collaboration systems (Planner, Validator, Protocol Reviewer) with testable code and CI/CD pipelines.
• Apply prompt engineering techniques (Chain-of-Thought, ReAct, Reflection) for high-fidelity clinical outputs.
• Deploy AI agents on AWS and build scalable applications for scientific data capture, movement, and preparation.
• Partner with Data Integrity and Quality teams to ensure traceable, reproducible, GxP-compliant agentic decisions.
• Create Human-in-the-loop workflows and tool-calling agents for regulated data challenges.

Skills

What you would do

• Own the product backlog for the assigned product area, prioritizing based on business value and stakeholder needs.
• Translate business requirements into user stories with clear acceptance criteria.
• Facilitate sprint planning, reviews, and backlog refinement sessions.
• Collaborate with the development team to ensure deliverables meet expectations.
• Manage stakeholder expectations and communicate delivery timelines.
• Track and report on delivery and engagement metrics, run KPI reviews against a shared scorecard, and identify impediments to team velocity.

Skills

What you would do

• Partner with business units and functions to turn leadership priorities into focused action.
• Scale high-impact AI initiatives.
• Unblock execution.
• Build reusable solutions that help teams work smarter.
• Shape and accelerate AI-enabled ways of working across the enterprise.

Skills

What you would do

• Support data ingestion and integration from web, marketing, CRM, ERP and other sources via ELT/ETL processes.
• Analyze errors in data pipelines.
• Transform and model data with SQL in Google BigQuery and develop data models with Dataform or dbt.
• Implement business logic, KPIs and aggregations.
• Ensure data quality through tests, monitoring and plausibility checks.
• Document solutions.

Skills

What you would do

• Analyze and challenge sales KPIs such as revenue, prices, margins, customers, and product groups, deriving insights.
• Support business units and unit managers on sales controlling questions.
• Create regular reports and variance analyses.
• Participate in forecasts and budget processes and prepare decision-relevant information for management and sales.
• Develop sales reports and dashboards in Power BI, ensure data quality, and support business intelligence topics.

Skills

What you would do

• Developing and adapting machine-learning approaches for structure-based and generative molecular design.
• Integrating physicochemical information, including protein–ligand interaction features, into generative AI workflows.
• Developing computational workflows for closed-loop DMTA cycles using experimental affinity, selectivity, and molecular-property data.
• Applying and validating approaches prospectively in the design and optimization of serine protease inhibitors.
• Collaborating with computational scientists, chemists, and biologists in the international project consortium.
• Contributing to scientific publications, presentations, and project reporting.

Skills

What you would do

• Provide professional support to managers at all hierarchical levels on personnel-related issues.
• Support change management, reorganizations, and team/organizational unit development.
• Coach managers in their leadership role and strengthen leadership culture.
• Conduct demanding conversations and support conflict, performance, and change situations.
• Collaborate with HR specialist departments to ensure holistic HR support.
• Participate in the annual salary round, year-end work, and recurring HR processes.

Skills

What you would do

• Consulting customers on identifying and implementing AI-based solutions to optimize business processes.
• Developing, training, and implementing machine-learning and deep-learning models.
• Creating and designing scalable AI architectures considering performance, security, and maintainability.
• Analyzing and preparing data to improve model quality and efficiency.
• Collaborating with developers and specialist departments on holistic project implementation.
• Monitoring, evaluating, and continuously improving AI systems in production.

Skills

What you would do

• Develop and configure machine-learning and generative AI solutions for customer and business requirements.
• Integrate cloud-based and locally operated foundation models and LLMs into applications, services, and business processes.
• Work with embeddings, vector search, RAG, and prompt engineering.
• Prepare and evaluate models using datasets, test cases, metrics, and human feedback.
• Analyze model behavior, bias, and failure modes and communicate risks to stakeholders.
• Collaborate with data engineers on data preparation, feature engineering, and data quality.

Skills

What you would do

• Perform quantitative analysis of portfolio risks and ad-hoc scenario analysis of fund data.
• Conduct quantitative investigations into current investments.
• Develop proprietary quantitative investment models and associated systems.
• Determine data for a structured investment process.
• Collaborate on situational projects with internal or external stakeholders.
• Collect risk data, derive analytical insights, and present results to senior management and external stakeholders.

Skills

What you would do

• Architect and develop agentic AI systems using frameworks like LangChain, AutoGen, DSPy, CrewAI or custom orchestration layers.
• Design modular, goal-oriented workflows for autonomous task planning and inter-agent collaboration.
• Implement agent patterns including Planner–Executor loops, ReAct, Reflection & Self-Verification.
• Engineer prompting strategies (Chain-of-Thought, Tree-of-Thought, structured outputs, prompt versioning).
• Build persistent memory systems (short-term, long-term, episodic).
• Integrate LLMs with execution environments (Python, Bash, SQL, REST APIs, browser automation).

Skills