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.

What Youll Do

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Apply problem solving, data, delivery, functional and technology expertise to solutions for trial design, protocol optimization, site selection and feasibility, trial virtualization, clinical operations metrics and business intelligence
• Leverage knowledge of Life Sciences R&D organizations, data & systems, business processes & stakeholder types to aid analyses & recommendations for solution offerings in clinical development
• Participate in the development of ZSs thought leadership in technology solutions accelerating clinical development
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
• Engage in the development of specific assets/accelerators that foster scalability.
• Contribute to advancing thought leadership through research support and publication assistance.
• Provide guidance and mentorship to Associate team members.

What Youll Bring

• A PhD Degree in Computer Science, Statistics, or a relevant field or a masters degree with 3-5 years of relevant post-collegiate work experience;
• 3 years of experience in working with, or data from, clinical systems (EDC, CTMS, IVR, eTMF and Patient data such as ePRO, Lab, CDMS, OC etc.), understanding clinical process and clinical documents like protocols and data sources like ClinicalTrials.gov (AACT), Citeline etc.
• A robust academic performance with coursework emphasizing analysis and quantitative skills.
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
• A proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
• A proficiency in agile project planning and project management techniques.
• Prior leadership experience from a relevant position.
• Fluency in English.

Additional Skills:

• Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.