Top Tech Jobs & Startup Jobs

Build and deploy AI features for document understanding, structured extraction, and review workflows. Develop LLM pipelines with validation, retrieval, structured generation, and human review. Evaluate and improve model quality, reliability, latency, and cost in production. Integrate AI services into APIs and applications while documenting system behavior and limitations. Collaborate with product, design, engineering, and life sciences domain experts to create practical AI capabilities.

Lead full-stack product development from discovery through production. Build accessible React and TypeScript interfaces, backend APIs and services, data models, and reliable workflows. Partner with product and design, improve performance, security, reliability, and observability, investigate production issues, review code, mentor engineers, and establish engineering practices. The role requires substantial experience delivering data-heavy applications and features from ambiguous requirements to production.

Supports pharmaceutical client engagements by analyzing complex datasets and producing data-driven insights and visualizations. Uses R, Python, SQL, Tableau, Excel, SAS, and Power BI while contributing to project documentation, quality control, task management, and client deliverables. Collaborates with project leads and global stakeholders to deliver accurate, timely solutions and develop consulting, technical, problem-solving, and client-facing capabilities.

Consults on Master Data Management and data warehousing projects for life sciences clients. Responsibilities include designing data models, developing MDM solutions, managing data quality and governance, documenting ETL processes, conducting reviews, coordinating distributed teams, mentoring junior staff, and supporting project leadership. The role requires customer and address mastering, pharma data-source familiarity, Python, SQL, data profiling, requirements translation, and experience with MDM platforms.

Develop and maintain enterprise applications using .NET and C#. Build RESTful APIs and microservices, write SQL Server queries and stored procedures, debug defects, participate in code reviews and Agile ceremonies, and collaborate with product, senior engineering, and QA teams. The role emphasizes learning Microsoft technologies, applying coding standards, and contributing to scalable, secure, high-performance solutions.

Develop and maintain enterprise applications using .NET Core, .NET 8+, and C#. Build REST APIs and microservices, write tests, optimize SQL Server queries, and support Azure-based deployments. Participate in code reviews, Agile ceremonies, debugging, CI/CD, and collaborative requirements gathering while learning Microsoft ecosystem best practices.

Administer commercial agreements from intake through approval, signature, and ongoing contract management. Maintain CLM records, track renewals and obligations, prepare summaries, support audits and due diligence, coordinate stakeholders, and escalate issues requiring legal judgment. The role also improves contract procedures, templates, workflows, and automation while handling confidential information.

Leads data-driven commercial operations and analytics projects for pharmaceutical and life sciences clients. Responsibilities include managing cross-functional teams, defining project scope, analyzing data, developing insights and deliverables, optimizing data processes with coding, managing client communications, supporting business development, and mentoring junior consultants.

Associate Consultant responsible for leading Master Data Management and data warehousing projects, including data modeling, ETL processes, data quality, customer and address mastering, documentation, code reviews, task planning, client communication, and team mentorship. The role requires translating business requirements into scalable MDM solutions using Python, SQL, and platforms such as Reltio or Informatica MDM, primarily for life sciences clients.

Supports Master Data Management and data warehousing projects by designing data models, developing and documenting ETL processes, applying data quality and standardization rules, and analyzing client requirements. Coordinates task planning, project delivery, code and design reviews, client communications, and offshore collaboration. Requires experience with customer and address mastering, data governance, data profiling, Python, SQL, and MDM platforms such as Reltio or Informatica.