What You'll Do: Decision Analytics Associate Consultant in the Drug Development Practice Area will...

• Lead, or co-lead workstreams within larger engagements, managing day-to-day activities, timelines, and deliverables while ensuring project quality
• Drive clinical data and biometrics transformation initiatives across clinical data management, statistical programming, and biostatistics for pharmaceutical sponsors and CROs
• Work directly with cross-functional teams supporting ongoing and completed Phase I, II, III, and IV clinical trials, contributing to the collection, management, transformation, analysis, and submission of human clinical trial data throughout the study lifecycle
• Analyze current-state clinical data flows, systems, and standards (e.g., EDC platforms, non-EDC sources, CDISC SDTM, ADaM) and define future-state architectures and processes
• Design, specify, or oversee data transformation pipelines that take EDC and non-EDC data from sources systems to submission-ready datasets
• Shape and deliver AI-focused programs that improve how CDM and SP work is performed (e.g., automation of data review, anomaly detection, edit-check optimization, programming productivity, documentation generation)
• Partner cross-functionally with clinical operations, data management, biostatistics, statistical programming, and IT teams, serving as a bridge between technical analytics and business needs
• Collaborate with AI, data science, and technology teams

What You'll Bring

• Bachelor's or master's degree required in any scientific, analytical, or technical discipline with strong record of academic success
• 3-5 years of relevant post-collegiate experience in clinical data management, statistical programming, biometrics, or related clinical development functions within a pharmaceutical sponsor, biotechnology company, or CRO. Candidates must have direct hands-on experience supporting Phase I, II, III, or IV human clinical trials and working with the systems, processes, and data generated throughout the clinical trial lifecycle. A PhD may substitute in lieu of work experience
• Demonstrated ability to lead workstreams, gather and manage requirements, and collaborate with cross-functional and client stakeholders in a structured, project-delivery environment
• Ability to act as a client-facing consultant, communicating technical concepts to non-technical audiences and supporting project delivery
• Hands-on experience with clinical trial datasets, including EDC (e.g., Medidata Rave, Veeva EDC) and non-EDC sources (e.g., central laboratory data, ECG, ePRO/eCOA, imaging, PK/PD, wearables, real-world data)
• Demonstrated experience supporting the execution, management, analysis, or submission of data from Phase I-IV human clinical trials. Strong understanding of GCP, clinical trial operations, and regulatory expectations for analysis and submission datasets
• Familiarity with clinical trial data standards (e.g., CDISC, SDTM) and biological/RWE datasets used for reuse in clinical analytics
• Interest in and exposure to AI, automation, or advanced analytics in R&D/CDM/biometrics, and motivation to help clients adopt AI-enabled ways of working from source to submission
• Fluency in English
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach

Required: Experience directly supporting human clinical trials (Phase I-IV) through clinical data management, statistical programming, biometrics, clinical operations, or related functions. Experience limited to preclinical research, observational studies, real-world evidence, healthcare analytics, or non-interventional data environments will not meet the requirements for this role.

How you'll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.