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Practice - AIA - Artificial Intelligence and Analytics

**About AI & Analytics:** Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Summary

• Responsible for the analysis of structured and unstructured clinical records to define phenotypes for genetic association analyses and related activities

• Translate business problems into precise analytical solutions with measurable business metrics

• Work together with investigators to establish clinical data workflows for established and emerging studies

• Translate reputable and in-house developed methods into hardened workflows and systems

• Utilize software and publications to distribute tools and results

• Responsible for conveying information on findings and platform requirements with internal and external stakeholders

• Responsible for constructing end-to-end data science solutions to improve healthcare outcomes and reduce the cost

• Advance conversational AI solutions to improve healthcare experience

• Build customer segmentation models to facilitate superior understanding of customers and modify the clinical outcome and healthcare experience for them

• Responsible for developing scalable and efficient modeling algorithms that can work in production systems

• Cooperate with the engineering team to build end-to-end cloud based machine learning production pipelines.

Required Qualifications

• We are seeking a highly qualified Data Scientist with a PhD or Minimum Masters in Statistics/ Mathes/Artificial Intelligence or Machine Learning or a closely related field.

• Possessing extensive experience in clinical trials or a closely related quantitative field, along with over eight years of experience as a statistician/data scientist in clinical research.

Preferred Skills

• Familiarity with regulatory requirements and statistical standards for clinical trial submissions (e.g., FDA, EMA).

• Expertise in statistical programming languages (such as R, SAS, or Python).

• Experience in working within multidisciplinary teams in a global setting.

• Strong publication record in peer-reviewed journals are add on.

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Applications will be accepted until 24 Oct 2025.

Salary and Other Compensation:

The hourly salary for this position is between $[136,500 - 160,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance

• Paid holidays plus Paid Time Off

• 401(k) plan and contributions

• Long-term/Short-term Disability

• Paid Parental Leave

• Employee Stock Purchase Plan

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.