Clinical Data Scientist II (Clinical Research)

Pay Range: $50-60/hr

Preferred onsite in Mettawa.

Open to remote for qualified candidates.

Job Description:The Data Scientist II is responsible for optimizing and deploying business processes and technology solutions within DSS in support of the portfolio. A technical and innovative role that partners with statistical programming, clinical analytics, standards, statistics, data science and information technology experts to implement

next generation clinical data analysis

ecosystem.

Responsibilities:Designs, deploys, and maintains various cross-functional solutions, business processes, and associated technologies such as

statistical computing environment, metadata repository, output delivery depot and standard macro library.Delivers optimization of end-to-end business processes that enable quality and efficiency such as process maps, SOPs, and work instructions. Drives change management by conceiving and operationalizing innovation and facilitating adoption across teams.Engages with multi-disciplinary experts to influence, elicit, analyze, and document business requirements and translate into technology functional requirements. Leverages project management tools and software development methodologies to manage resources, mitigate risk and deliver on commitments.Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence, and natural language processing.Ensures adherence to global and local agency regulations,

good clinical practices (GCP), ICH guidelines , SOPs, and functional quality standards.

Skill qualifications:Demonstrated understanding of

clinical research

with emphasis on

statistical programmingFundamental knowledge of

CDISC

standards and

CDISC

compliant submission requirements.Intermediate-level proficiency in

SAS, R, python, shell scripting

or other programming languages.Intermediate-level knowledge of

statistical and data mining

techniques.Demonstrated problem-solving, analytical, and multitasking skills.Programming certifications and proficiency in

multiple programming languages

desirable.Familiarity with various programming paradigms and IT system architectures desirable.

Educational and experience qualifications:B.S.

in

computer science, data science, statistics , or a related field with

4-7 years

of relevant experience.M.S. preferred.by Jobble
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