Senior AI Software Engineer

Job Description:

Senior AI Software Engineer

The Senior AI Software Engineer is responsible for architecting, designing, and delivering enterprise-grade clinical data intelligence platforms within a global clinical research organization. This role operates within a high-impact team that leverages AI-native development methodologies to accelerate the design and deployment of scalable software solutions.

The position will enhance software development velocity and quality through AI-orchestrated workflows, contributing directly to the advancement of clinical research technologies that support the development of life-changing therapies, including oncology and rare disease treatments.

Make an Impact at Veristat!

Join a global team with more than 30 years of expertise accelerating life-changing therapies to patients worldwide.

• 105+ approved therapies for marketing applications prepared by Veristat
• 480+ oncology projects in the past 5 years
• 350+ rare disease projects delivered in the past 5 years
• Flexible, inclusive culture — 70% remote workforce, 66% women-led teams
• Learn more about our core values here!

What we offer:

The estimated hiring range for this role is $130K – 175K plus applicable bonus. This hiring range is specific to the USA and will vary for other regions based upon local market data.  Final salary is ultimately decided upon taking into account a wide range of factors, including but not limited to: skills and experience, licensure and certifications, education, specific location and dynamic market data.

•  Benefits vary by location and may include:
  • Remote working
  • Flexible time off
  • Paid holidays
  • Medical insurance
  • Tuition reimbursement
  • Retirement plans 

What we look for

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field (or equivalent practical experience).

• Minimum of 4 years of progressive software engineering experience with demonstrated success architecting and delivering production-grade systems.

• Demonstrated professional experience utilizing AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot, or similar) within structured development workflows.

• Strong understanding of requirement decomposition, acceptance criteria definition, edge case identification, and architectural constraint documentation.

• Experience with modern DevOps practices and platforms (e.g., Azure DevOps).

 • Proficiency across full-stack development environments, including Python, React/TypeScript, and data platform technologies.

• Ability to evaluate when AI-augmented development is appropriate versus manual engineering approaches.

• Experience within life sciences, healthcare, or regulated industries.

 • Familiarity with clinical data analytics or demonstrated ability to rapidly acquire domain knowledge.

• Experience building data platforms, ETL pipelines, analytics systems, or enterprise reporting tools.

• Experience defining, implementing, and enforcing code quality standards across teams.

Automated Decision Making: All applicants are reviewed by a member of the Veristat Talent Acquisition team; Veristat does not utilize an automated decision-making process.

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