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PF
Pfizer

Solution Engineer, Visualization, Analytics & Collaboration (Senior Manager)

LocationGreece-Thessaloniki Chortiatis
Work modehybrid
Typefull-time
DepartmentDiscovery, Preclinical, and Translational Solutions (DP&TS)
Company size10,000+ people
First seen1w ago
Last seen2d ago
Role Summary
About the company
Discovery, Preclinical, and Translational Solutions (DP&TS) sits at the center of Pfizer’s scientific software work, building the digital tools that help researchers move from target identification through clinical translation.
We’re looking for a Solution Engineer to own data visualization, analytics, and collaboration capabilities for integrative biology within DP&TS. This individual contributor role you’ll design, build, and maintain the platform, not just direct others. You’ll also work closely with the aligned capability lead to prioritize what gets built.
You’ll need strong technical depth in data visualization, analytics, collaboration platforms, and cloud-native engineering, along with the ability to set standards for the capability area. You’ll lead contractors as needed and partner across scientific, product, and engineering stakeholders to deliver secure, scalable solutions.
Reporting to the Principal Engineer, Integrative Biology Solutions, you’ll own the technical direction for visualization, analytics, and collaboration capabilities. This role doesn’t conduct data science research but you’ll need a strong grasp of how data scientists work and what they need from visualization and collaboration tooling to build the right platform.
Your technical decisions affect the speed, quality, and reproducibility of research across DP&TS. The problems cross scientific workflows, data engineering, and cloud infrastructure.
Key Responsibilities
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Own and Lead Solution Implementation: own visualization, analytics, and collaboration solutions for Integrative Biology end-to-end: design, build, deployment, and maintenance.
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Collaborate with Capability Lead on Prioritization and Roadmap: work with the R&D Capability Lead to prioritize and scope features; translate scientific needs into concrete technical requirements and delivery plans.
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Design and Implement Advanced Visualization and Analytics Solutions: architect, build, and maintain scalable visualization and analytics solutions for Integrative Biology research, including interactive dashboards, visual exploration tools, and platforms that handle large-scale biological datasets.
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Deliver Collaboration Solutions: build and maintain collaboration environments that let data scientists and research teams share and explore biological data securely and reproducibly.
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Lead Contractor Teams and Delivery: direct contractor teams when needed: provide technical guidance, review work, and hold delivery to quality and security standards.
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Define Standards and Best Practices: set and maintain technical standards and governance frameworks for the capability area, ensuring consistency and quality across the Integrative Biology ecosystem.
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Drive Continuous Improvement and Operational Excellence: proactively identify and address reliability, performance, scalability, and security gaps. Keep solutions current as scientific and operational needs evolve.
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Understand and Translate Scientific Needs: build a working knowledge of how data scientists use visualization, analytics, and collaboration tools — and use that understanding to build the right platform, not just a technically sound one.
Basic Qualifications
Education: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)
Experience:
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6+ years of progressive experience in solution engineering, software engineering, or a related technical discipline, with demonstrated hands-on design and implementation of data visualization, analytics, and/or collaboration platforms
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Proven experience owning and leading the end-to-end delivery of technical solutions in a complex enterprise or scientific environment, including requirements gathering, solution design, implementation, and ongoing maintenance
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Experience leading contractor teams or matrixed delivery teams to implement technical solutions, with strong ability to provide technical direction, manage work quality, and drive delivery outcomes
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Strong technical expertise in data visualization, analytics, and collaboration tools and platforms (e.g., Tableau, Power BI, Spotfire, custom web-based visualization frameworks), with the ability to architect and build robust, scalable solutions in cloud environments
Technical Skills
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Proficiency in Python and/or other modern high-level languages used in data engineering and scientific computing
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Experience with infrastructure-as-code tools (e.g., Terraform, Helm, CloudFormation), CI/CD pipelines (e.g., GitHub Actions), and cloud platforms (AWS, Azure, or GCP) for deploying and operating data and compute workloads
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Working knowledge of data engineering and data platform concepts, including data ingestion, transformation, and storage patterns relevant to supporting visualization and analytics workloads in cloud environments
Other Requirements
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Demonstrated experience in working with regulated data, compliance frameworks, and secure development practices
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Ability to lead complex engineering efforts across global, cross-functional teams
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Fluent in English; capable of clear technical communication across scientific and engineering disciplines
Preferred Qualifications
Education: Master’s or PhD in in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)
Domain Expertise
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Experience working in pharmaceutical R&D, life sciences, academic research, or a similar scientific research environment; familiarity with how data scientists and computational biologists work and what visualization, analytics, and collaboration tools they depend on
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Conceptual understanding of the data and analytical workflows used in integrative biology research, including the types of visualizations, analysis outputs, and collaborative review processes involved in omics, imaging, proteomics, or other high-dimensional biological data domains
Research Domain Awareness
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Hands-on experience with data visualization and analytics tools and platforms used in omics, imaging, proteomics, or other high-dimensional biological data analysis (e.g., Tableau, Spotfire, custom D3/Plotly/Dash applications)
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Experience implementing or administering scientific collaboration solutions (e.g., electronic lab notebooks, knowledge management platforms, shared analytical workspaces) in a research or enterprise environment
Scientific Collaboration
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Demonstrated ability to work collaboratively with data scientists, computational biologists, or research scientists to understand their workflows, translate their needs into technical requirements, and deliver solutions that fit their ways of working
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Familiarity with FAIR data principles, scientific data management best practices, or open-source tools and ecosystems used in the life sciences research community
Other requirements
Travel up to 10% may be required for business activities.
Please apply by sending your CV in English.
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients’ lives… At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Legal
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
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