Bristol Myers Squibb Hiring Drive 2024 For Senior Manager, Biomarker Data Scientist | Location Hyderabad

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Bristol Myers Squibb Hiring Drive 2024: Bristol Myers Squibb Hiring Drive 2024 for its Senior Manager, Biomarker Data Scientist. Bristol Myers Squibb Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Ph.D. degree in a relevant quantitative field. if you are interested, please apply as soon as possible.

Company Name: Bristol Myers Squibb

Role: Senior Manager, Biomarker Data Scientist

Location: Hyderabad

Experience: 1+ years

Qualification: Ph.D. in a relevant quantitative field

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Bristol Myers Squibb Hiring Drive 2024

Job Description:

  • You will join a new cutting-edge Drug Development Data Science and Biomarker team to advance the global drug development process.
  • We are looking for candidates with strong computational, statistical, and biological capabilities with a demonstrated track record of translating complex data into testable hypotheses and experience modeling multimodal (clinical, omics, real-world data) using the classical ML and Deep Learning algorithms. 
  • We are looking for hands-on state-of-the-art practitioners. 


  • Ph.D. in a relevant quantitative field (i.e. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 1+ years of academic/industry experience or Master’s Degree in a relevant quantitative field and 3+ years of industry experience
  • Strong experience in the analysis of data generated by one or more -omics or molecular assays is required
  • Knowledge of molecular biology, understanding of disease pathways are preferred
  • Strong experience in biomarker data analysis with data generated from clinical trials, or electronic health records 
  • Experience in modeling methods particularly in their application to pharma R&D Experience in the application of AI/ML, and proficient in SQL, Python, and R and cloud platforms
  • Experience developing statistical and machine learning models on high dimensional and high throughput data for time to event data and longitudinal outcomes 
  • Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data
  • Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
  • Strong problem-solving and collaboration skills, and rigorous and creative thinking.
  • Excellent communication, data presentation, and visualization skills.
  • Capable of establishing strong working relationships across the organization


  • Develop and apply novel or existing computational methods for patient segmentation from multimodal clinical and omics datasets for various treatment modalities in partnership with Translational, Clinical and Statistical Scientists
  • Partner with lead and protocol statisticians in writing, reviewing and executing protocols and statistical analysis plans (SAP) for biomarkers and diagnostics, highlighting the biomarker strategy for clinical drug development
  • Execute biomarker analyses on datasets from BMS clinical trials and real-world data cohorts
  • Perform relevant and innovative statistical analyses of high-dimensional (e.g. gene expression, sequencing) data generated by cutting edge technologies
  • Execute and contribute to the scientific and statistical strategy of drug development, including development of predictive biomarker(s) and precision medicine
  • Optimize and validate biomarker assays for clinical trial usage.
  • Develop, implement, and apply state-of-the-art algorithms to address key business problems and drive the implementation of innovative statistical methods in support of biomarker strategy
  • Formulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scale.
  • Responsible for collaborating with cross-functional teams, including but not limited to clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals.
  • Manage and coordinate resources to produce quality deliverables within timelines for competing priorities.

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