Fulcrum

Data Analyst

• Provide monthly consulting to improve financial data processes and analytics in the financial sector
• Design, document, and maintain scalable big data pipelines
• Build robust data frameworks from ingestion to decision-making
• Develop ETL/ELT workflows for structured and unstructured data
• Identify and fix data quality issues (duplicates, corruption, gaps)
• Analyze large financial datasets to generate actionable insights
• Maintain clear technical documentation (data dictionaries, lineage)
• Collaborate with teams to integrate AI recommendations and financial metrics
• Support data visualization and reporting efforts

Data Analyst, Big Data Consultant

Brand Designer

• We are looking for a Dribbble Designer who will help us create visually captivating concepts for websites, web applications, mobile interfaces, and branding. This role is part of our marketing team, and your work will represent the face of the company on Dribbble, Pinterest, Behance, and other platforms.
• Key responsibilities
• Developing interface concepts (design for websites, mobile apps, SaaS, AI solutions, etc.)
• Creating branded visuals: logos, stylistic banners, graphic styles
• Contributing to content strategy on Dribbble, Behance, and Pinterest
• Adapting design for lead generation goals and contributing to case studies

UI/Brand Designer – Dribbble & Behance focus

Full-stack Engineer

• Own the technical architecture of the platform – design, build, and maintain scalable infrastructure for ML, data processing, and product delivery.
• Translate business and clinical needs into elegant, performant, and compliant technology – from proof of concepts to production.
• Build and maintain robust data pipelines to handle video, audio, EMR data, and natural language inputs.
• Develop and fine-tune ML models that support real-time coaching, sentiment analysis, and personalized documentation.
• Lead full-stack product development for internal tools, clinician-facing apps, and workflow integrations (e.g., Epic, ambient AI platforms).
• Collaborate cross-functionally with clinicians, researchers, and design to create solutions that are both clinically effective and technically feasible.
• Drive experimentation, iteration, and validation – balancing speed with safety in healthcare-grade deployments.
• Implement best practices for data privacy, security, and compliance (e.g., HIPAA).
• Lead technical planning for clinical studies and research pilots (option to serve as PI if desired).
• Help build out and lead a high-performing engineering team as the company scales.

Data Analyst, Big Data Consultant

UI/Brand Designer – Dribbble & Behance focus

Full Stack AI/ML Developer