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Data Scientist I, Predictive Scientific Engagement

4 months ago

Hyderabad, India Bristol Myers Squibb Full time

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.
 

Summary: The Data Scientist position is a specialized role within BIA Hyderabad. They will focus on applying advanced statistical and machine learning techniques to extract insights from complex data sets and drive data-driven decision-making processes. The Data Scientist will collaborate with cross-functional teams, conduct in-depth analysis, develop predictive models, and provide actionable recommendations to enhance business performance and drive innovation.
 

​Roles & Responsibilities•Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis•Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data•Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations•Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems•Partner with senior data scientists to develop and implement predictive models (e.g., regression, clustering, time series forecasting) to solve complex business challenges•Collaborate with data engineers and IT teams to ensure data availability, quality and reliability for analysis and modeling•Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations•Stay up-to-date with the latest methodologies and best practices in statistical analysis and machine learning ​Skills and competencies •Proficiency in programming languages such as Python or R for data manipulation, analysis and modeling•Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to pharmaceutical related datasets is preferred •Familiarity with data visualization tools such as Tableau, Power BI or matplotlib/seaborn for effective communication of finding•Strong understanding of experimental design, hypothesis testing and A/B testing methodologies•Solid problem-solving skills and the ability to think critically and creatively to tackle complex business challenges•Solid communication and presentation skills to convey complex concepts to technical and non-technical stakeholders•Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus•Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment


Experience :-
 

•We welcome a bachelor’s or master's in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.•Proven experience (typically 0 to 3 years) in a data science role, preferably within the biopharma or pharmaceutical industry•Have a strong commitment to a career in technology with a passion for healthcare•Strong background in statistical analysis, machine learning and predictive modeling techniques•Experience in handling and analyzing large-scale structured and unstructured data sets using SQL, NoSQL or similar technologies.•Demonstrated ability to develop and implement predictive models and machine learning algorithms.•Experience working with healthcare data, clinical trials, or related domains is highly desirable•Solid understanding of the biopharma industry, including regulatory requirements and healthcare data sources•Familiarity with sourcing social media data from external sources.

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