Decision Analytics Associate Consultant (BioStats & RWE) at ZS

ZS (www.zs.com) is the world's largest firm focused exclusively on helping companies improve overall performance and grow revenue and market share, through end-to-end sales and marketing solutions - from customer insights and strategy to analytics, operations and technology. More than 5,000 ZS professionals in 22 offices worldwide draw on deep industry and domain expertise to deliver impact for clients across multiple industries

ZS- India Capability and Expertise Centers house more than 60% of ZS people across two locations based in Pune and Gurgaon. Our teams work in conjunction with onshore colleagues to deliver our sales and marketing projects to our clients. The Centers primarily support client projects based in North America, Europe and East Asia in the areas of Business Analysis, Business Operations and Business Technology.

ZS Associates' Business Consulting group delivers solutions to a broad spectrum of marketing and sales challenges. We also help our clients transform their marketing and sales organizations to implement these solutions. Our solutions and recommendations are based in rigorous research and analysis underpinned by deep expertise and thought leadership

Job Description

Responsibilities - 

- Work with epidemiological datasets; analyze observational data and registry datasets

- Design and conduct statistical analysis plans to analyze pre-existing datasets as well as prospective cohort studies

- Responsible for executing statistical analysis plans and conducting programming and data quality checks to generate and report real-world evidence about disease, health service utilization and the effects of medical products through the analysis of healthcare data

- Design custom analyses using tools like SQL, R, Excel, Tableau, SAS, R

- Work independently to lead statistical aspects of projects with quality reviews by RWE analytics lead

- Synthesize and communicate results to clients and ZS teams

- Collaborate with client and ZS teams to implement solutions

- Gain immediate responsibility for project deliverables

- Take initiative to advance problem-solving skills and ZS- capabilities

- Teach, mentor and coach junior team members

Qualifications

- MSc/ PhD in a medical data analytical field Biostats or (epidemiology, medical statistics, bioinformatics, health services research, health economics, and/or public health)

- Strong record of academic achievement

Work Experience

- 3-5 years- experience as a statistician in life sciences, specifically in analyzing real world/observational data and patient registries

- Proven professional experience within an epidemiological research environment (academia, regulatory, pharmaceutical or CRO)

- Professional services/ CRO/ multi-national experience/exposure to pharmaceutical sector a plus

- Experience in the statistical design and analysis of prospective or retrospective observational studies and familiar with working with large epidemiologi- cal datasets focusing on anonymized data (e. g. Disease Analyzer, CPRD, THIN, etc.)

- Statistical programming experience in SAS (including macros); expertise in documenting programs; SQL-R, programming skills

- Knowledge of Bayesian statistics, machine learning, predictive modeling and clinical trial data design/analysis would be a plus

- Experience of observational data and/or registries is essential

- Experience in Project managing and client facing interactions is a plus

- In-depth knowledge of multivariable models and survival analyses; longitudinal analyses methods, a plus

- Good understanding of the clinical trial process and late phase/observational studies (e.g., Phase IV, registries, retrospective chart review, time and motion studies), Experience with Time and Motion studies a plus

- Good understanding of basic study designs (e.g., cross sectional, parallel group)

- Good understanding of CDISC standards (SDTM, ADaM) is a plus

- Working knowledge of Microsoft Word, PowerPoint and Excel

- Demonstrated people and organizational leadership skills

- Ability to work in a fast-paced and often unstructured environment

- Excellent written and oral communication skills including grammatical/ technical writing skills

- Excellent attention and accuracy with details, and strong commitment to quality

- Strong project and budget management Experience

- Excellent project management skills: can prioritize multiple tasks and goals to ensure timely completion

- Ability to establish and maintain effective working relationships with co-workers, managers and clients

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