Decision Analytics Associate Consultant - Biometrics

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers worldwide.

ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business.

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem‑solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

• Develop and apply advanced statistical and data methodologies to support clinical development, biometrics, and regulatory decision‑making.
• Partner with clients to define and implement end‑to‑end clinical data strategies, from data acquisition through submission.
• Collaborate with cross‑functional stakeholders (clinical operations, biostatistics, data management, regulatory) to ensure data is structured, standardised, and analysis‑ready.
• Design and execute analyses using tools such as R, SAS, and Excel, with a focus on clinical trial data and biometrics use cases.
• Support the development and optimisation of clinical data workflows, operating models, and governance frameworks.
• Contribute to the implementation and enhancement of clinical data systems, including EDC platforms (e.g., Medidata Rave) and downstream data environments.
• Ensure alignment with industry standards (e.g., CDISC, SDTM) and regulatory requirements for clinical data submission.
• Synthesize and communicate insights to both technical and non‑technical stakeholders, translating complex clinical data into actionable recommendations.
• Develop strong client relationships and serve as a key point of contact for clinical data and biometrics‑related work streams.
• Provide regular project updates, manage deliverables, and ensure high‑quality execution across engagements.
• Mentor junior team members and contribute to building internal capabilities in clinical data management and biometrics.

• Bachelor’s or master’s degree in a quantitative or life sciences field such as biostatistics, epidemiology, data science, health sciences, or engineering.
• 2–4 years of relevant experience in clinical data management, biometrics, or clinical trial analytics; experience at a pharma/biotech company or CRO strongly preferred.
• Strong understanding of the clinical data lifecycle, including data collection, cleaning, standardisation, and regulatory submission.
• Hands‑on experience with clinical data standards (e.g., CDISC, SDTM) and familiarity with data governance and metadata management practices.
• Experience working with electronic data capture (EDC) systems such as Medidata Rave or similar platforms.
• Working knowledge of tools such as SAS, R, or Excel, with less emphasis on pure modelling and more on applied clinical data use.
• Ability to collaborate across technical and business teams to translate clinical data needs into scalable solutions.
• High motivation, strong work ethic, and ability to operate in a fast‑paced, client‑facing environment.
• Excellent communication skills, with the ability to clearly convey complex clinical data concepts.
• Strong attention to detail and commitment to data quality and regulatory compliance.
• Empathy, adaptability, and emotional intelligence when working with diverse teams and stakeholders.
• Proven ability to mentor junior team members and contribute to team development.
• Fluency in English.
• Client‑first mentality.
• Intense work ethic.
• Collaborative spirit and problem‑solving approach.

• Cross‑functional skills…