Predictive Scientific Engagement, Data Scientist Iii - Hyderabad, Telangana, India - Bristol-Myers Squibb

Bristol-Myers Squibb
Bristol-Myers Squibb
Verified Company
Hyderabad, Telangana, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

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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.


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.


Roles & Responsibilities

  • Handson 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 datadriven hypotheses and identify KPIs for analysis
  • Gather, preprocess and explore largescale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data
  • 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 nontechnical stakeholders through clear and compelling visualizations, reports and presentations
  • Stay uptodate 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 problemsolving 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 nontechnical 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 fastpaced 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 largescale 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 #LI-Hybrid


Uniquely Interesting Work, Life-changing Careers

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 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
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