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Data Scientist - R/SAS/Python


MakroCare


Location

Bangalore | India


Job description

Data Scientist Position Summary:MakroCare Clinical Research Limited is seeking a skilled Data Scientist to join our team. The Data Scientist will play a crucial role in interpreting complex data to help inform strategic decision-making and improve outcomes in our projects related to pharmaceuticals, biotechnology, and medical devices. This position involves applying machine learning techniques, statistical analysis, and data visualization to support various phases of clinical research and development.Key Responsibilities:- Analyze large, complex datasets to extract actionable insights and support clinical research initiatives.- Develop predictive models and algorithms to improve clinical trial designs, patient recruitment strategies, and operational efficiencies.- Collaborate with cross-functional teams including regulatory affairs, clinical development, and medical device diagnostics to ensure data-driven approaches are integrated into all projects.- Present findings and recommendations to senior management and stakeholders in a clear and concise manner.- Stay abreast of industry trends and advancements in data science and machine learning to apply best practices and innovative solutions.Qualifications:- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.- Proven experience as a Data Scientist, preferably in the healthcare, pharmaceutical, or biotech industries.- Strong knowledge of statistical software (R, SAS, SPSS) and programming languages (Python, SQL).- Experience with machine learning techniques and algorithms.- Excellent analytical, problem-solving, and communication skills.- Ability to work collaboratively in a team environment and manage multiple projects simultaneously.What MakroCare Offers:- A dynamic and supportive work environment with opportunities for professional growth and development.- The chance to contribute to the advancement of healthcare products that can have a real impact on patient outcomes.- Competitive salary and benefits package. (ref:hirist.tech)


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