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.

This is a new position. You will join the newly formed Hyderabad arm of Global Biometrics Data Science team, a cutting-edge Data Science team that has a strong track record of advancing the global drug development process at BMS. We are looking for candidates with experience in modeling complex multimodal data including clinical, imaging, unstructured text data using machine learning, deep learning, NLP, generative AI and computer vision algorithms. We are looking for hands-on technical state of the art practitioners. This is an individual contributor role.

What you’ll do:

  • Work with stakeholder to develop, implement and apply state-of-the-art algorithms to address key business problems
  • Develop novel ways of integrating, mining, modeling, and visualizing diverse, high dimensional and disparate data sets
  • Develop end to end image analysis pipelines and develop deep learning models on images
  • Drive the development and implementation of innovative statistical methods, novel trial designs, etc.
  • Use of modern data processing learning capabilities including ML, AI, deep learning, and beyond on complex multimodal datasets
  • Formulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scale.
  • Responsible for collaborating with and presenting results to cross-functional teams, including but not limited to, clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals.
  • Collaborate closely with medical professionals and clinicians to understand clinical requirements and translate them into deep learning solutions that produce actionable insights.
  • Manage and coordinate limited resources to produce highest quality deliverables within timelines
  • Write high-quality code with documentation and follow best practices such as version control, test-driven development and Python packaging.
  • Publish research papers in top-tier conferences and journals.

Key Requirements:

  • Ph.D. or Master’s in a relevant quantitative field (i.e. Computational Biology, Computational Linguistics, Biostatistics, Statistics, Computer Science, etc.)
  • 7+ years of experience as a professional Data Scientist after receiving a Master and 3 year’s after receiving a Ph.D.Proficient in Python and its machine learning libraries, especially PyTorch, to design, develop, and implement deep learning models for medical image analysis
  • Deep expertise in Computer Vision, Deep Learning, Transformers, Self Supervised Learning, and generative models.
  • Capability to continuously track, evaluate, adapt the latest advancements in deep learning techniques and medical imaging research to benefit clinical study design and ability to deploy production grade models
  • Demonstrated industry impact and track record of leading statistical innovation
  • Experience developing statistical and machine learning models on high dimensional data  
  • Experience in applying AI/ML to data generated from clinical trials, or electronic health records and modeling methods particularly in their application to pharma R&D
  • Interest in clinical trial data interpretation and drug development processes

#HYDDD

#LI-Hybrid  

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 adastaffingsupport@bms.com. 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.

Location

Hyderabad

Job Overview
Job Posted:
5 months ago
Job Expires:
Job Type
Full Time

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