Jobs at BASE life science

Leads technical migration programs for life sciences clients, overseeing project teams, budgets, milestones, risks, escalations, timelines, and quality. Translates business and data requirements into technical specifications, coordinates data engineers and scientists, and provides executive-level reporting. Supports sales activities through effort estimation and planning, while ensuring successful implementation, regulatory compliance, and customer satisfaction.

Develop and maintain Salesforce Marketing Cloud solutions for pharmaceutical clients, including CloudPages, forms, email, SMS, data automation, customer journeys, APIs, CRM integrations, and consent logic. Collaborate with consultants and campaign managers to translate requirements into compliant technical solutions. The role requires strong SFMC, SQL, AMPscript, JavaScript, HTML/CSS, API, and CRM experience, with pharma or life sciences experience preferred.

Serve as a subject matter expert on master data management or data platform implementations for life sciences clients. Address HCP/HCO data quality, CRM master and reference data, and integration of IQVIA or Veeva data with client data. Translate requirements into working solutions alongside architects, functional consultants, and stakeholders. The role requires strong customer engagement data knowledge, consulting communication skills, and expertise in either MDM or data platforms.

Lead commercial data architect for life sciences consulting engagements. Responsibilities include architecting MDM and data platform programs, establishing data governance, chairing design authorities, overseeing CRM integrations, advising business and IT stakeholders, developing consultants, contributing to proposals and RFPs, and supporting presales activities. The role requires expertise in MDM or data platforms, governance, architecture leadership, people management, customer engagement processes, and consulting delivery methodologies.

Build and maintain automated data ingestion and transformation pipelines using Azure Databricks, Azure Data Factory, SQL, Python, and PySpark. Ensure data quality, lineage, monitoring, auditing, error handling, and reliable downstream analytics. Collaborate with analysts, privacy officers, quality teams, and pharmaceutical domain experts on data architecture, testing, integration, and business intelligence projects.

Translate life sciences clients’ business needs into user stories and technology requirements, and participate in IT implementation projects from initiation through completion. Analyze pharma commercial processes, support data and analytics initiatives, facilitate workshops, document requirements, align stakeholders, and help clients address analytics challenges. The role requires collaboration with technical and business teams and may involve implementing cloud and commercial life sciences solutions.

Leads complex technical projects and programs for life sciences clients, including implementation, migration, software development, and data initiatives. Responsibilities include planning scope, timelines, budgets, risks, and resources; leading cross-functional teams; managing client communications and escalations; translating business requirements into technical plans; supporting proposals and business development; and improving internal project management methodologies.

The Data Engineer will design, build, and maintain data pipelines while collaborating with teams to provide data-driven solutions and enhance data quality.

As a Senior Consultant, you will lead client projects in the life sciences sector, ensuring quality delivery and stakeholder alignment. Responsibilities include process assessments, system implementation, and change management activities.