Senior Director, Data Sciences and Advanced Analytics

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. Take your career farther than you thought possible. SENIOR DIRECTOR POSITION

As a key leader of the Data Science and Advance Analytics (DSAA) organization in drug development, you will be part of a cross‑functional team of drug development scientists and data scientists focused on providing hands‑on skills, expertise, and tools to facilitate access, integration, visualization, and exploratory analysis of complex and diverse data in support of clinical development activities and decisions. The Data Science Lead will drive execution of exploratory analysis for scientific considerations related to drug development and clinical study design. Through practical hands‑on work, you will define approaches, processes, algorithms, and tools that support the analytics, visualizations, and decision‑support needs of drug development scientists and projects. You will play a key role in building the team with the necessary skills, building relationships with stakeholders, and implementing relevant tools and approaches. In addition, you will collaborate with Biostatistics leads and other members of drug development teams to ensure connectivity of exploratory analysis work in support of development, regulatory approval, and market acceptance of BMS products. This position may include functional management responsibilities. What You'll Do

Lead a team of approximately 5 individuals with diverse expertise to drive the data science objectives across early to late‑phase drug development in a specific therapeutic area. Develop novel ways of integrating, mining, and visualizing diverse, high‑dimensional data sets. 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, Informatics, Clinical and Statistical scientists. Develop, validate, and implement predictive models, and deploy automated processes for producing modeling results at scale. Generate novel insights from data and present them via rich and intuitive visualizations. Builds successful partnerships and seamless interfaces within the department and the broader research and development organization. Communicates proactively and effectively across several teams with diverse subject matter expertise. Ensures quality of deliverables by consistently applying analysis and reporting standards, and driving compliance with regulatory requirements, corporate and departmental SOPs, and work practices. Drives the development and implementation of innovative strategies and technologies. Independently develops, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and BMS standards. Provides technical guidance to external partners concerning project and data standards, and analysis practices to ensure efficient and integrated project strategies. Understands software development methodologies and appropriately applies those methodologies. Identifies opportunities for increased efficiency and consistency within the DSAA organization and provides SME support to continuous improvement initiatives within and beyond DSAA. Degree Requirements

PhD in a relevant quantitative field (i.e. Biostatistics, Statistics, Bioinformatics, Computer Science, etc.). Experience Requirement

10+ years of relevant experience after receiving a graduate degree. Key Competency Requirements

Mastery in data analysis with data generated from clinical trials, observational research and real‑world data, and modeling methods particularly in their application to clinical trials. Strong expertise in a wide range of AI/DL/ML algorithms. Strong background in core statistical methods such as generalized linear and nonlinear models, survival analysis, etc. Experience in disease areas related to oncology, neuroscience, and immunology. Expertise with various types of data such as imaging, genomics, and proteomics. Outstanding technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision‑support solutions. Excellent communication, organizational, motivational, leadership, and interpersonal skills, capable of interfacing well at multiple levels within and across R&D. Demonstrated ability to develop and lead a team of individuals with diverse experience and expertise. Ability to explain technically complex information for a non‑technical audience. Proven ability to develop and execute strategic and long‑range plans across a wide scope within an organization. Strong positive attitude, thrives in a dynamic, fast‑paced environment with many simultaneous projects. Expert knowledge of programming languages (R, Python) in high‑performance computing environment (e.g., AWS). Experience with NLP is highly preferred. Knowledge of industry practices and regulatory requirements. Travel Requirements

This position may require up to 20% travel for meetings and/or professional conferences/congresses. Compensation Overview

Brisbane - CA - US: $259,990 - $315,046 Cambridge Crossing: $259,990 - $315,046 Princeton - NJ - US: $232,140 - $281,293 Seattle - WA: $250,710 - $303,799 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. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. Benefits

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:

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. Eligibility Disclosure: 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 ...