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Klick

Klick

www.klick.com

6 Jobs

1,881 Employees

About the Company

Klick Health is the world's largest independent commercialization partner for life sciences. For over 25 years, Klick has been laser-focused on developing, launching, and supporting life sciences brands to maximize their full market potential as a core commercialization partner. Klick is opening offices in regional hubs and key markets to provide local support for our clients in countries outside of North America. These seven new offices are purpose-built to replicate the core components of our culture and values and be 100% dedicated to the pharma and life sciences business. We believe that when your people are the center of gravity, clients are the ultimate beneficiaries. Success, in its highest form, is always mutual. Our culture of kindness and high performance attracts innovators and leaders who care about doing the best work possible in an environment that supports their rapid growth. Together, we can turn any problem into a potentially life-changing opportunity.

Listed Jobs

Company background Company brand
Company Name
Klick
Job Title
Business System Analyst
Job Description
**Job Title:** Business System Analyst **Role Summary:** Translate business needs into technical system requirements for healthcare and marketing innovation, optimizing workflows and data solutions. **Expactations:** 5+ years in a BSA role; comfort with core development platforms; understanding of healthcare/pharma compliance (FDA, HIPAA, 21 CFR Part 11) or eagerness to learn; ability to visualize workflows/data flows; strong communication for technical/non-technical stakeholders. **Key Responsibilities:** - Define system requirements from business needs. - Design workflows to eliminate inefficiencies. - Ensure data integrity and usability in solutions. - Create user stories, specs, and documentation. - Collaborate with product, engineering, QA, and vendors. **Required Skills:** - Requirements analysis and system design experience. - Healthcare/regulatory compliance knowledge. - Workflow visualization and data flow mapping. - Cross-functional communication and documentation. **Required Education & Certifications:** Minimum of 5 years’ experience in business systems analyst or related role. Preferred: Healthcare industry familiarity or compliance understanding.
Toronto, Canada
Hybrid
Mid level
23-12-2025
Company background Company brand
Company Name
Klick
Job Title
Senior Full-Stack Developer
Job Description
Senior Full-Stack Developer Role Summary: Lead development of scalable full-stack applications with a focus on integrating AI capabilities into production systems. Collaborate on architecture, implementation, and optimization across the lifecycle to deliver secure, high-performance solutions. Expactations: Requires 10+ years of full-stack development (back-end dominant), proficiency in AI frameworks, cloud AI solutions, and architecture patterns. Must contribute to code reviews and support engineering standards. Key Responsibilities: 1. Lead full-stack development from design to deployment with AI-enabled functionality. 2. Collaborate with teams to embed AI-driven solutions into systems and workflows. 3. Develop and maintain front-end/back-end components for quality, scalability, and performance. 4. Conduct code reviews, influence architectural decisions, and uphold engineering standards. 5. Build/automate data integrations, APIs, and tools to optimize processes. Required Skills: - 10+ years full-stack web application development (back-end emphasis). - AI frameworks, libraries, or model integration experience. - Cloud-based AI solutions (Azure, AWS, or Google Cloud). - Architecture patterns, distributed systems, or data-driven application expertise. - Proficiency in .NET Core or equivalent backend frameworks. - Experience with build tools (Webpack, Grunt). - Advanced SQL database skills (e.g., MS SQL Server, BigQuery) and query design. - Code review participation and engineering standards contribution. Required Education & Certifications: Not specified in the job description.
Toronto, Canada
Hybrid
Senior
23-12-2025
Company background Company brand
Company Name
Klick
Job Title
Vice President, Enterprise Platforms
Job Description
**Job title:** Vice President, Enterprise Platforms **Role Summary:** Senior leader responsible for driving pre‑sales strategy, client solutioning, and enterprise architecture in the pharmaceutical and life sciences sector. Combines pipeline management, executive client engagement, and hands‑on architecture design to shape multi‑million‑dollar omnichannel solutions and mature the organization’s architecture practice. **Expactations:** - Own the full sales opportunity lifecycle, forecasting, and operations. - Act as a trusted subject‑matter expert to senior pharma stakeholders, steering executives and decision‑makers. - Develop and enforce architecture governance, standards, and reference designs. - Lead AI/ML initiatives for customer engagement and content optimization. **Key Responsibilities:** - Lead discovery workshops, technology visioning, and roadmap sessions with senior pharma stakeholders. - Own pipeline and opportunity management, including forecasting, closing, and sales operations oversight. - Create solution spec sheets, proposals, pricing estimates, and Statements of Work (SOWs) in partnership with sales and delivery teams. - Design end‑to‑end omnichannel architectures: CRM & Marketing Automation (Salesforce, Veeva, Adobe, Marketo, SFMC), Content Ecosystem (CMS, DAM), Data Infrastructure (CDPs, data warehouses, MDM, analytics), Media & AdTech (DSPs, DMPs, programmatic), and APIs & Integrations (real‑time, batch, middleware, ETL, microservices). - Produce architecture diagrams, data flow models, interaction diagrams, and technical design documents. - Conduct system assessments, gap analyses, and future‑state roadmaps for pharma omnichannel ecosystems. - Serve on architecture steering committees, defining and evolving governance frameworks, standards, and reference architectures. - Coach internal teams on architecture best practices while delivering hands‑on technical leadership in solutioning. - Apply AI/ML solutions to omnichannel marketing (next‑best‑action, personalization, predictive analytics) and generative AI for content modularization, tagging, NLP, and insight automation. - Maintain executive presence, influencing senior stakeholders while remaining technically involved. **Required Skills:** - 10+ years in pharma/life sciences technology, consulting, or sales operations; 5+ years hands‑on enterprise architecture or solution design with pre‑sales/client‑facing experience. - Proven pipeline and opportunity ownership with hands‑on sales operations or pre‑sales engineering. - Strong architecture documentation: diagrams, data flows, technical specifications. - Familiarity with TOGAF, SAFe, or similar architecture frameworks; certification preferred. - Experience leading architecture steering committees, governance processes, and standards development. - Knowledge of AI/ML applications in customer engagement, content optimization, and data insights. - Executive communication and influence skills; ability to present to C‑level executives. - Coaching and mentoring capability for internal technical teams. **Required Education & Certifications:** - Bachelor’s degree (or equivalent) in Computer Science, Engineering, Information Technology, or related discipline. - TOGAF – Certified (mandatory or highly preferred). - SAFe – Certified (preferred). - Additional certifications such as PMP, Certified ScrumMaster, or relevant AI/ML certifications are a plus.
Toronto, Canada
Hybrid
Senior
26-12-2025
Company background Company brand
Company Name
Klick
Job Title
Data Solutions Consultant
Job Description
**Job Title:** Data Solutions Consultant **Role Summary:** Design, build, and deploy data‑centric and machine learning solutions that translate business questions into actionable insights for analytics and omnichannel initiatives. Collaborate across analytics, data engineering, and enablement teams to create scalable, data‑driven outputs that inform decision‑making. **Expectations:** - Minimum 2‑year hands‑on experience delivering end‑to‑end machine learning projects, including model training, evaluation, and deployment. - Proficient in Python and SQL with applied experience in scikit‑learn, TensorFlow, or PyTorch. - Experienced with data preprocessing, feature engineering, and statistical modeling on structured or behavioral data. - Comfortable working with clickstream, data lake, and big data ecosystems (Spark, AWS, GCP). - Ability to translate technical concepts to non‑technical stakeholders and capture requirements. - (Optional) Experience in AI‑driven workflows, healthcare/life‑sciences, media or agency settings. **Key Responsibilities:** - Gather and translate business needs into analytical and machine‑learning solutions with Analytics, Data Engineering, and Enablement partners. - Design, build, and optimize data pipelines and ETL workflows to support advanced analytics and ML use cases. - Develop, train, evaluate, and deploy machine‑learning models that generate measurable value. - Manage data in enterprise warehouses and lakes (e.g., Snowflake) and cloud platforms (AWS or GCP). - Document workflows, models, and processes to ensure scalability, maintainability, and reproducibility. - Communicate findings, model performance, and insights to stakeholders in clear, non‑technical language. **Required Skills:** - Python programming; SQL querying; data manipulation libraries (NumPy, pandas). - Machine‑learning libraries (scikit‑learn, TensorFlow, PyTorch). - ETL development, Spark, and big‑data technologies. - Data lake and warehouse experience (Snowflake, AWS S3, GCP BigQuery). - Feature engineering, statistical modeling, and model evaluation techniques. - Clickstream data processing and analysis. - CI/CD pipelines or Git‑based version control. - Data visualization tools (e.g., Power BI). - Strong communication and stakeholder‑management abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field. - Master’s or Ph.D. in a relevant discipline is preferred but not mandatory. - No mandatory certifications; relevant professional training (e.g., AWS Data Analytics, TensorFlow Developer) is a plus.
Toronto, Canada
Hybrid
Junior
26-01-2026