Sr. Clinical Data Scientist

Cognizant Technology Solutions • Mettawa, IL

71d • $136,500 - $160,000

About The Position

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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.

Requirements

• PhD or Minimum Masters in Statistics/ Mathes/Artificial Intelligence or Machine Learning or a closely related field
• Extensive experience in clinical trials or a closely related quantitative field
• Over eight years of experience as a statistician/data scientist in clinical research.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree