Python Developer - Entry-Experienced

The Medpace Analytics and Business Intelligence team is growing rapidly and is focused on building a data-driven culture across the enterprise. We build software that turns data into durable, reusable products—APIs, internal web apps, automated ingestion pipelines, and analytics services—that help teams make faster, better decisions. As a Business Intelligence Analyst, you will hold a highly visible role that blends engineering and analytics and requires interaction and partnership with leadership across the Medpace organization. What’s in this for you? Work in a collaborative, fast paced, entrepreneurial, and innovative workplace. Build real software products (APIs, internal tools, and data services) used by leaders and teams across the enterprise. Develop your engineering craft in Python – designing, testing, and shipping maintainable code (not just one-off scripts or Jupyter notebooks). Gain business context by partnering with leadership across Medpace and translating needs into scalable technical solutions. Responsibilities What’s involved? We are looking for a Junior Business Intelligence Analyst to add depth to our growing team by building backend and data applications in Python. This role partners closely with leadership, product management, operations, finance, and other technical teams to identify opportunities and deliver production-ready solutions. An ideal candidate brings strong programming fundamentals (CS or AI background encouraged) and is excited to build reliable, maintainable software that delivers analytics at scale. You enjoy working with ambiguous problems, designing solutions that other teams can rely on, and learning enterprise development concepts (version control, testing, deployment, and operational ownership) as you go. We are looking for team members who thrive in working with complex problems, conducting solution tooling, are intensely curious, and enjoy designing and developing long-term solutions. What you bring to the table – and why we need you! Design, build, and maintain Python services to deliver solutions (e.g., APIs, internal web apps, and automation tools). Develop data ingestion and transformation workflows that are reliable, observable, and repeatable (batch and/or event-driven). Work with SQL and enterprise data sources to model, validate, and serve data for downstream users and systems. Collaborate with cross-functional teams to translate business needs into technical requirements, estimates, and deliverables. Write clean, tested, documented code; participate in code reviews; and follow software engineering best practices. Build AI-enabled solutions by integrating with LLMs and related components (e.g., tool/function calling, agents, MCP servers) and applying basic ML concepts when needed Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude Code, Microsoft Copilot) to accelerate delivery while maintaining quality and security. Qualifications Bachelor's Degree in Computer Science, Engineering, Business Analytics, or related degree. Proficiency in Python with a solid programming foundation (data structures, debugging, and writing maintainable code). Experience working with SQL and relational data concepts; familiarity with data quality and validation is a plus. Familiarity with enterprise development practices such as Git, testing, and CI/CD (or a strong willingness to learn). Strong analytical and problem-solving skills with clear written and verbal communication. Preferred: experience developing AI-enabled Python applications (e.g., connecting to LLM APIs, building agentic workflows, working with MCP servers, and familiarity with common libraries such as LangChain or Transformers; basic ML experience welcomed). Preferred: experience with cloud technologies, especially Microsoft Azure (e.g., deploying services, working with cloud storage/managed data services, and Infrastructure as Code (IaC) such as Bicep/ARM or Terraform). Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks Cincinnati Campus Overview Flexible work environment Competitive PTO packages, starting at 20+ days Competitive compensation and benefits package Company-sponsored employee appreciation events Employee health and wellness initiatives Community involvement with local nonprofit organizations Discounts on local sports games, fitness gyms and attractions Modern, ecofriendly campus with an on-site fitness center Structured career paths with opportunities for professional growth Discounted tuition for UC online programs Awards Named a Top Workplace in 2024 by The Cincinnati Enquirer Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps. What's involved? We are looking for a Junior Business Intelligence Analyst to add depth to our growing team by building backend and data applications in Python. This role partners closely with leadership, product management, operations, finance, and other technical teams to identify opportunities and deliver production-ready solutions. An ideal candidate brings strong programming fundamentals (CS or AI background encouraged) and is excited to build reliable, maintainable software that delivers analytics at scale. You enjoy working with ambiguous problems, designing solutions that other teams can rely on, and learning enterprise development concepts (version control, testing, deployment, and operational ownership) as you go. We are looking for team members who thrive in working with complex problems, conducting solution tooling, are intensely curious, and enjoy designing and developing long-term solutions. What you bring to the table - and why we need you! Design, build, and maintain Python services to deliver solutions (e.g., APIs, internal web apps, and automation tools). Develop data ingestion and transformation workflows that are reliable, observable, and repeatable (batch and/or event-driven). Work with SQL and enterprise data sources to model, validate, and serve data for downstream users and systems. Collaborate with cross-functional teams to translate business needs into technical requirements, estimates, and deliverables. Write clean, tested, documented code; participate in code reviews; and follow software engineering best practices. Build AI-enabled solutions by integrating with LLMs and related components (e.g., tool/function calling, agents, MCP servers) and applying basic ML concepts when needed Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude Code, Microsoft Copilot) to accelerate delivery while maintaining quality and security. Bachelor's Degree in Computer Science, Engineering, Business Analytics, or related degree. Proficiency in Python with a solid programming foundation (data structures, debugging, and writing maintainable code). Experience working with SQL and relational data concepts; familiarity with data quality and validation is a plus. Familiarity with enterprise development practices such as Git, testing, and CI/CD (or a strong willingness to learn). Strong analytical and problem-solving skills with clear written and verbal communication. Preferred: experience developing AI-enabled Python applications (e.g., connecting to LLM APIs, building agentic workflows, working with MCP servers, and familiarity with common libraries such as LangChain or Transformers; basic ML experience welcomed). Preferred: experience with cloud technologies, especially Microsoft Azure (e.g., deploying services, working with cloud storage/managed data services, and Infrastructure as Code (IaC) such as Bicep/ARM or Terraform).