Lead Engineering – Primary Data Analysis, Aggregation and Reporting

Jobtailor; Warszawa; On-site; PLN 260,000 - 360,000; Full time

Job summary

Jobtailor is searching for an accomplished leader to guide a high-performing engineering team focused on AI and machine learning within a regulated pharmaceutical context. You will drive end-to-end analytics workflows and shape a scalable analytics ecosystem for enterprise transformation.

The role requires deep AI/ML expertise, success managing complex scientific data in regulated environments, and a track record of leading cross-functional teams toward strategic objectives in pharma/biotech

Qualifications

• 5+ years of experience in people leadership or program management.
• Deep technical know-how in AI/ML frameworks and their application in advanced analytics ecosystems.
• Extensive experience managing complex scientific data content and primary/secondary analysis within a regulated environment.
• Strong understanding of software development, process architecture, and modern service delivery methodologies.
• 2+ years of experience in the pharmaceutical, biotechnology, or regulated healthcare technology industry.
• Bachelor’s or advanced degree in Data Sciences, Biostatistics, Statistical Programming, Information Technology or a related technical field.
• Visionary, Architect, Catalyst, and Coach behaviors, effectively navigating ambiguity and complex organizational boundaries.

Responsibilities

• Lead and inspire a high-performing engineering team, fostering innovation in AI and machine learning.
• Drive end-to-end delivery of validated, production-grade automated analytics workflows.
• Architect a scalable scientific analytics ecosystem for enterprise-wide digital transformation.
• Define an AI-driven technical roadmap and platform strategy.
• Consolidate, onboard, and host a diverse portfolio of future analytics use cases.
• Support team members’ self-defined career journeys and remove professional growth roadblocks.
• Manage senior stakeholders across Pharma Development and negotiate priorities.
• Align technology with business objectives.
• Implement engineering excellence initiatives that improve collaboration and psychological safety across development teams.
• Manage acquisition, ingestion, curation, and analysis of clinical trial and real-world data to support regulatory filings.

Skills

AI/ML Frameworks

Automated Analytics Workflows

Scientific Data Management

Pharmaceutical Industry Experience

People Leadership

Education

Bachelor’s Degree

Advanced Degree

Job description

• Lead and inspire a high-performing engineering team, fostering innovation in AI and machine learning


• Drive end-to-end delivery of validated, production-grade automated analytics workflows


• Architect a scalable scientific analytics ecosystem for enterprise-wide digital transformation


• Define an AI-driven technical roadmap and platform strategy


• Consolidate, onboard, and host a diverse portfolio of future analytics use cases


• Support team members’ self-defined career journeys and remove professional growth roadblocks


• Manage senior stakeholders across Pharma Development and negotiate priorities


• Align technology with business objectives


• Implement engineering excellence initiatives that improve collaboration and psychological safety across development teams


• Manage acquisition, ingestion, curation, and analysis of clinical trial and real-world data to support regulatory filings

Requirements

• 5+ years of experience in people leadership or program management


• Deep technical know-how in AI/ML frameworks and their application in advanced analytics ecosystems


• Extensive experience managing complex scientific data content and primary/secondary analysis within a regulated environment


• Strong understanding of software development, process architecture, and modern service delivery methodologies


• 2+ years of experience in the pharmaceutical, biotechnology, or regulated healthcare technology industry


• Bachelor’s or advanced degree in Data Sciences, Biostatistics, Statistical Programming, Information Technology or a related technical field


• Visionary, Architect, Catalyst, and Coach behaviors, effectively navigating ambiguity and complex organizational boundaries

Core Competencies

Demonstrates expertise in AI and machine learning frameworks, driving the development of automated analytics workflows and managing complex scientific data within regulated environments. Proven ability to lead engineering teams, align technology with business objectives, and foster a culture of innovation and collaboration.

Highest-signal resume keywords

• AI/ML Frameworks


• Automated Analytics Workflows


• Scientific Data Management


• Pharmaceutical Industry Experience


• People Leadership

ATS Optimization Keywords

Hard Skills

• AI/ML Frameworks


• Automated Analytics


• Scientific Data Management


• Software Development


• Process Architecture


• Statistical Programming


• Data Sciences


• Biostatistics


• Regulatory Compliance


• Advanced Analytics

Soft Skills

• Leadership


• Coaching


• Collaboration


• Visionary Thinking


• Negotiation

Certifications & Qualifications

• Bachelor’s Degree


• Advanced Degree

Industry Keywords

• Pharmaceutical


• Biotechnology


• Healthcare Technology


• Regulated Environment


• Digital Transformation