Technology Senior Consultant

Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry. We partner with clients to help them achieve commercial success across the lifecycle of their products portfolios and organizations.

Blue Matter is hiring for the Technology and Operations Practice within the Blue Matter Insights Team. Our Technology & Operations practice integrates strategy data and AI to deliver scalable technology-enabled solutions for BioPharma Clients. The practice has developed a category-defining platform called Twine an AI-first customer intelligence platform purpose-built for life sciences that is already seeing strong traction in the market.

As a Tech Senior Consultant you will work across Blue Matter as a functional expert playing a key role in identifying analytical solutions to complex client needs with a specialized focus on designing developing and proactively integrating AI-driven solutions.

Primary Responsibilities

As a key member of cross-functional client facing teams develop and execute project plans to support initiatives that include but are not limited to:

• Design and implement technology solutions to support commercial data and analytics for life sciences companies with an emphasis on AI/ML and Generative AI frameworks
• Utilize cloud-service providers i.e. AWS Azure or GCP to build scalable solutions.
• Innovate in product launch analytics drug discovery patient analytics and data operations using Gen AI.
• Proactively research experiment with and propose new AI/ML and Generative AI solutions for clients and internal processes driving forward the firms AI capabilities.
• Collaborate with onshore/offshore teams to ensure timely high-quality deliverables providing technical guidance and code reviews.
• Query and analyze data in cloud data warehouse solutions to uncover actionable insights.
• Design advanced dashboards and reports using modern BI/visualization tools for client-ready insights.
• Investigate MDM processes to resolve issues and meet client needs automate operational process using Gen AI
• Contribute to Blue Matters Twine platform rollout in client environments.
• Address client questions gather requirements and deliver solutions aligned with business goals.
• Ensure project success through effective collaboration and meeting deadlines using agile delivery models.
• Support internal initiatives focusing on Gen AI and healthcare analytics.

Desired Experience and Skills

• Expertise in data engineering/analytics/Gen AI application development for pharmaceutical datasets.
• Hands-on experience building AI/ML applications including working with LLMs Generative AI and NLP frameworks.
• Expertise in SQL Python and relational/cloud databases.
• Skilled in data warehouse technologies and data pipeline/orchestration tools.
• Experienced with cloud platforms (AWS Azure GCP) and their core services.
• Strong knowledge of MDM principles.
• Familiar with back-end and front-end web technologies.
• Proficient in API development and version control.
• Experience with modern BI/reporting tools.
• Knowledge of US pharma datasets and healthcare concepts (e.g. coverage payment pricing).
• Strong problem-solving communication and client-facing skills.
• Proficient in Agile/Scrum and project management tools.
• Ability to translate raw data analysis into impactful client presentations with actionable insights
• Excellent communication and power point presentation skills (internal and client facing)
• Genuine passion and curiosity for ongoing AI development with a demonstrated habit of learning and experimenting with new AI tools models and techniques.

Preferred Qualifications

• Advanced degree(s) (PhD MD MBA or MS)
• 4 years of quantitative analytical experience 6 years in data engineering/analytics including 2 years in client-facing roles
• Demonstrated ability to integrate business and industry knowledge in developing creative solutions
• Active contributions to AI projects open-source AI projects or demonstrated independent study in AI/ML.
• Passion for Generative AI in life sciences applications