Data Scientist III-Predictive Scientific Engagement,

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Bristol Myers Squibb

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Job Summary


Job Type
-

Seniority
Mid

Years of Experience
Information not provided

Tech Stacks
Python Hadoop SQL NoSQL Spark Azure Matplotlib R AWS seaborn

Job Description

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.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us.

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

  • Hands-on data scientist or machine learning engineer that will be expected to ideate, design, develop, model and deploy advanced solutions
  • Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis
  • Gather, preprocess 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
  • Develop and implement predictive models (e.g., regression, clustering, time series forecasting) and generative models (e.g. LLMs) to solve complex business challenges
  • Collaborate with data engineers and IT teams to ensure data availability, quality and reliability for analysis and modeling
  • Create and present 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, machine learning, and the biopharma industry

Skills And Competencies -

  • Expertise in data visualization tools such as Tableau, Power BI or matplotlib/seaborn for effective communication of findings
  • Expertise in programming languages such as Python or R for data manipulation, analysis and modeling
  • Strong understanding of experimental design, hypothesis testing and A/B testing methodologies
  • Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges
  • Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders
  • Expertise in 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 master's or Ph.D. in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.
  • Proven experience (typically 5+ years) in a data science role, preferably within the biopharma or pharmaceutical industry
  • Strong background in statistical analysis, machine learning and predictive modelling 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, clinical trial design, and healthcare data sources

#GBOHYD

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.


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