Insight Global
The Lead Clinical Data Manager will be responsible with leading all aspects of clinical data management associated with data cleaning and quality review processes for assigned projects. S/he ensures clinical trial data collected meet the highest standards of data integrity, while meeting timelines and budgets. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.? Proficient in computer technology used in an office environment (Microsoft Word, Excel, etc). ? Excellent verbal and written communication skills. ? Knowledge of GCP and regulatory requirements regarding clinical data management documentation and software. ? Experience with Electronic Data Capture (EDC), Medidata RAVE preferred. Knowledge of medical terminology and use of coding dictionaries (MedDRA, WHO Drug). ? Proficient-level skills in writing and optimizing SQL queries. ? Familiar with Big Data technologies such as AWS services, Lambda, Glue, orchestration etc. ? Proficient-level data wrangling with R, Python and is experience with R Studio Connect app development. ? Proficiency in creating visualizations in Tableau.