Luminary Group is a global consultancy specializing in life sciences. The company offers executive search, staffing, and consulting services across various fields including pharmacovigilance, regulatory affairs outsourcing, market access, and product development. Additionally, Luminary Group provides expertise in biotechnology, medical devices, and clinical research organization (CRO) sectors, focusing on areas such as predictive medicine, machine learning, genomics, and genomics proteomics. Their services extend to enterprise SaaS solutions and real-world evidence, supporting prestigious clients around the world.
April 20, 2024
Luminary Group is a global consultancy specializing in life sciences. The company offers executive search, staffing, and consulting services across various fields including pharmacovigilance, regulatory affairs outsourcing, market access, and product development. Additionally, Luminary Group provides expertise in biotechnology, medical devices, and clinical research organization (CRO) sectors, focusing on areas such as predictive medicine, machine learning, genomics, and genomics proteomics. Their services extend to enterprise SaaS solutions and real-world evidence, supporting prestigious clients around the world.
• Identify and define analytical problems related to real-world evidence (RWE) and develop appropriate data-driven solutions. • Design and implement data mining and statistical modeling techniques to analyze complex RWE datasets. • Preprocess and clean large-scale real-world data to ensure quality and integrity. • Apply machine learning algorithms and techniques to extract meaningful patterns and insights. • Develop predictive models to forecast outcomes and trends based on real-world data. • Collaborate with cross-functional teams to interpret and communicate analysis findings to stakeholders. • Stay up-to-date with the latest research and advancements in data science and real-world evidence. • Implement data visualization techniques to effectively communicate analysis results. • Participate in the development of data-driven products and solutions for the healthcare industry.
• Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred. • Minimum of 3 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry. • Strong knowledge of data mining, statistical modeling, and machine learning algorithms. • Proficiency in programming languages such as Python or R for data manipulation and analysis. • Experience with data visualization tools, such as Tableau or Power BI. • Solid understanding of database systems and SQL for data querying and manipulation. • Strong analytical and problem-solving skills, with the ability to find insights in complex datasets. • Excellent communication and collaboration skills, with the ability to work effectively in a team environment. • Experience with healthcare data and familiarization with healthcare data standards is a plus. • Understanding of regulatory requirements and ethics related to data analysis in healthcare.
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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