BI&T Development Data Scientist Full-time

BI&T Development Data Scientist

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. 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.

The BI&T Development Data Scientist Analyst position at Bristol Myers Squibb, as part of the Development Data & Analytics team offers a dynamic and meaningful career focused on advancing patient care through innovative data science solutions. The role involves designing and deploying advanced analytics, collaborating with stakeholders, and applying predictive modeling and machine learning to large and diverse datasets.

The Development Data Scientist Analyst will play a crucial role in supporting study clinical operational analytics across Drug Development to ensure products continue to serve most pressing DD analytics needs, with opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Development Data Scientist Analyst should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world.

Major Responsibilities and Accountabilities:

• Hands-on Development Data Scientist Analyst that will be expected to ideate, design, develop, model and deploy advanced solutions.
• Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of Drug Development priorities, critical issues, and value levers.
• Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models and business facing reports and dashboards.
• Understanding of digital analytics tools and platforms and version control.
• Gather, pre-process and explore large-scale structured and unstructured data from diverse sources.
• 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) to solve complex business challenges.
• Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling.
• Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations.

Qualifications

Minimum Requirements

• Minimum education of a bachelor's or master's degree in an analytical, engineering, operations research or scientific discipline is required.
• Minimum of two (2) plus years of experience in a data and analytics role, including direct development experience.
• Experience working with large datasets, data visualization tools, statistical software packages and platforms. (specifically React, Python, advanced SQL, Domino, AWS, GitHub, dbt)
• Familiarity with data visualization tools such as React or Power BI for effective communication of findings.
• 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 or similar technologies.
• Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to complex datasets is preferred.
• Demonstrated ability to develop and implement predictive models and machine learning algorithms.
• Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders.

Princeton – NJ – US: $87,810 – $106,399

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work-life benefits include:

• Paid Time Off
• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

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 a supportive culture, promoting global participation 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 an 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.

Supporting People with Disabilities

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.

Candidate Rights

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

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