Senior Manager, Data Scientist

Bristol-Myers Squibb; Pennsylvania; Remote; USD 148,000 - 180,000; Full time

Job summary

A leading biopharmaceutical company is seeking a Data Scientist to join a cutting-edge team. The role involves developing innovative algorithms for analyzing clinical and imaging data using machine learning methods. Candidates should have a Ph.D. and experience in data science, deep learning, and collaboration with medical professionals. Competitive compensation and a range of benefits are offered.

Benefits

Medical, pharmacy, dental, and vision benefits

401(k) plan

Paid holidays and volunteering days

Qualifications

• 1+ years of professional Data Scientist experience after Ph.D.
• Proficient in Python and libraries for designing deep learning models.
• Expertise in Computer Vision and Deep Learning.

Responsibilities

• Develop and implement algorithms to solve business problems.
• Create end-to-end image analysis pipelines.
• Collaborate with cross-functional teams for clinical requirements.

Skills

Machine Learning

Deep Learning

Computer Vision

Python

Statistical Innovation

Education

Ph.D. in a relevant quantitative field

Tools

PyTorch

Job description

Overview

Working with Us

Challenging. Meaningful. Life-changing. Bristol Myers Squibb offers work that goes beyond the ordinary, with opportunities to impact patient lives and grow your career alongside high-performing teams.

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 resources to pursue goals at work and in their personal lives. Read more at careers.bms.com/working-with-us.

This is a new position. You will join a new cutting-edge Data Science team to advance the global drug development process. We are seeking candidates with experience modeling complex clinical, real-world data (RWD) and imaging data using machine learning, deep learning and computer vision algorithms. We value hands-on, state-of-the-art practitioners.

What you’ll do

• Work with stakeholders to develop, implement and apply state-of-the-art algorithms to address key business problems
• Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional and disparate data sets
• Develop end-to-end image analysis pipelines and build deep learning models on images
• Drive the development and implementation of innovative statistical methods and novel trial designs
• Translate digital health analytics using modern data processing and learning capabilities including ML, AI, deep learning, and beyond
• Formulate, implement, test, and validate predictive models and automate processes for scalable modeling results
• Collaborate with cross-functional teams, including clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals
• Work closely with medical professionals to understand clinical requirements and translate them into actionable deep learning solutions
• Manage and coordinate limited resources to deliver quality outputs within timelines for competing priorities
• Write high-quality, documented code following best practices such as test-driven development and Python packaging
• Publish research papers in top-tier conferences and journals

Key Requirements

• Ph.D. in a relevant quantitative field (e.g., Computational Biology, Computational Linguistics, Biostatistics, Statistics, Computer Science)
• 1+ years of professional Data Scientist experience after Ph.D.
• Proficient in Python and libraries, especially PyTorch, for designing and implementing deep learning models for medical image analysis
• Expertise in Computer Vision, Deep Learning, Transformers, Self-Supervised Learning
• Ability to track and apply latest advancements in deep learning and medical imaging research to clinical study design
• Demonstrated experience leading statistical innovation in industry
• Experience developing statistical and machine learning models on high-dimensional data
• Experience applying AI/ML to data generated from clinical trials or electronic health records, particularly in pharma R&D
• Interest in clinical trial data interpretation and drug development processes

Additional notes

If you encounter 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 transforms your life and career.

Compensation Overview

Remote - United States - US: $148,230 - $179,622

The starting compensation range is listed for a full-time employee. Additional incentive cash and stock opportunities may be available based on eligibility. Final compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary by job and location. For more on benefits, please visit careers.bms.com/life-at-bms.

Benefits may include medical, pharmacy, dental, vision, wellbeing programs, 401(k), disability and life insurance, travel protection, leave options, paid holidays, volunteering days, and other programs.

Equality and Accessibility

BMS is committed to equal employment opportunities. Applicants may request reasonable accommodations during the recruitment process. For inquiries, contact [e-mail]. Visit careers.bms.com/eoe-accessibility for the full statement.

BMS encourages vaccination and boosters as part of well-being guidance. We consider qualified applicants with arrest and conviction records in accordance with applicable laws. For California residents, additional information is available at careers.bms.com/california-residents/

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