Technology Senior Consultant at Blue Matter – South San Francisco, California

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 (e.g., S3, EC2, Lambda) 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 firm's AI capabilities.
• Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews.
• Query and analyze data in warehouse solutions (e.g., Snowflake, Redshift, Databricks) to uncover actionable insights.
• Design advanced dashboards and reports using Power BI, Tableau, or Sigma for client-ready insights.
• Investigate MDM processes to resolve issues and meet client needs, automate operational process using Gen AI
• Contribute to Blue Matter’s 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 model.
• 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 databases (e.g., MySQL, PostgreSQL, SnowSQL).
• Skilled in data warehouse technologies (e.g., Snowflake, Redshift, Databricks) and data pipeline tools (e.g., Airflow, dbt).
• Experienced with cloud platforms (AWS, Azure, GCP) and services (e.g., S3, EC2, Lambda).
• Strong knowledge of MDM principles.
• Familiar with back-end (e.g., Python/Django, Java/Spring Boot) and front-end technologies (e.g., React.js, HTML5/CSS3).
• Proficient in API development (RESTful/GraphQL) and version control (e.g., Git).
• Experience with reporting tools (e.g., Power BI, Tableau, Sigma).
• 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 (e.g., JIRA, Smartsheet).
• 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

Compensation: 
Base salary range: $150,000 - $190,000 per year. Generous incentive compensation structure.