Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Associate Director, Data Science role.

Rezi rewrites your resume against Bristol Myers Squibb's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Associate Director, Data Science posting at Bristol Myers Squibb — free, in seconds.

About the Role

Join a cutting-edge Drug Development Data Science and Advanced Analytics (DSAA) team as a senior scientific and technical leader, driving data science strategy and execution to advance the global drug development process. This role requires a seasoned data scientist with a strong computational, statistical, and biological background, and a demonstrated track record of leading analytical strategy, driving methodological innovation, and translating complex, multi-modal data into impactful scientific insights that inform clinical development decisions.

Responsibilities

Serve as a senior scientific resource within the DSAA organization, providing strategic direction and methodological guidance on data science approaches across multiple drug development programs.
Lead the design and execution of exploratory and confirmatory analyses across diverse and complex data types, from early discovery through late-phase clinical development.
Drive the development and implementation of innovative statistical methods, novel analytical frameworks, and state-of-the-art AI/ML approaches to address key scientific questions in drug development.
Shape the analytical strategy for drug development programs, contributing to decisions around trial design, endpoint selection, biomarker strategy, and evidence generation.
Identify opportunities to leverage emerging data science methodologies and technologies to accelerate drug development and address the complexities of novel data types.
Represent DSAA in cross-functional program team meetings, providing authoritative scientific input and influencing development decisions through rigorous, data-driven analysis.
Lead the development and application of novel computational methods for patient segmentation, biomarker discovery, and precision medicine from multimodal clinical and omics datasets.
Oversee and execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other high-dimensional biomarker data types.
Drive the integration, mining, and visualization of diverse, high-dimensional, and disparate datasets across therapeutic areas and development phases, developing novel analytical approaches where existing methods fall short.
Lead the formulation, implementation, testing, and validation of predictive models and scalable automated processes for delivering modeling results across multiple programs.
Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts.
Lead application of rigorous statistical approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modeling, causal inference, and principled handling of missing data and censoring.
Contribute to and influence the scientific and statistical strategy of drug development programs, including the development of predictive biomarkers, novel trial designs, and precision medicine approaches.
Define and champion standards for scalable, reproducible, and well-documented analytical pipelines and codebases using Python, R, SQL, and cloud platforms.
Establish and enforce data quality frameworks to assess and ensure fitness-for-purpose of diverse data sources across programs.
Promote rigorous model evaluation practices including appropriate cross-validation, calibration assessment, out-of-sample validation, and transparent reporting of model performance.
Drive adoption of scalable, automated analytical processes and best-in-class software engineering practices across the team.
If applicable, manage and develop a small team of data scientists, building capabilities, fostering scientific rigor and innovation, and ensuring delivery of high-quality outputs within program timelines.
Mentor and provide technical guidance to junior and mid-level data scientists, elevating team-wide methodological and engineering standards through code reviews, collaborative problem-solving, and knowledge sharing.
Partner with lead and protocol statisticians in shaping statistical analysis plans (SAPs) for exploratory data science analyses supporting drug development programs.
Collaborate with and influence cross-functional teams including clinicians, translational medicine scientists, biostatisticians, data engineers, regulatory scientists, and IT/engineering professionals.
Communicate complex analytical strategies and results with clarity and scientific authority to both technical and non-technical audiences, including senior leadership.
Build and maintain strong, high-trust working relationships across the organization, establishing DSAA as a valued scientific partner.

Requirements

Ph.D. in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, Computer Science, or related field) and 6+ years of academic/industry experience; or Master's Degree in a relevant quantitative field and 8+ years of industry experience.
Demonstrated mastery in data science and statistical analysis with data generated from clinical trials or electronic health records, with a strong track record of delivering impactful results in a pharma R&D context.
Significant experience leading the development and application of statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes.
Proven expertise in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks).
Deep familiarity with clinical trial design, drug development processes, and the role of biomarkers and data science in regulatory and clinical decision-making.
Demonstrated ability to define and drive analytical strategy across multiple concurrent programs, balancing scientific rigor with practical delivery.
Significant track record of driving statistical and AI/ML innovation, with a perspective on leveraging emerging approaches to expedite drug development and address complexities of novel data types.
Demonstrated ability to lead, mentor, and collaborate with multidisciplinary teams, and to manage multiple concurrent high-priority programs with competing timelines.
Excellent communication, data presentation, and visualization skills; ability to convey complex analytical concepts to diverse audiences including senior leadership.
Capable of establishing and sustaining strong, high-trust working relationships across the organization.
Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials is highly preferred.
Experience with NLP is highly preferred.
Experience with Survival Analysis and time-to-event modeling is highly preferred.
Experience with causal ML and explainable AI is highly preferred.
Knowledge of molecular biology and understanding of disease pathways is preferred.
Experience with real-world data (RWD/RWE) sources, including EHR, claims, or registry data, and associated analytical and causal inference methods is preferred.
Familiarity with digital health data and wearable/sensor-derived data types is a plus.
Experience with or exposure to novel clinical trial design (e.g., adaptive, platform, or biomarker-enriched trials) is preferred.
Prior experience in a people management or formal scientific leadership role is a plus.
Experience with scalable compute and deployment patterns, including cloud-based platforms and parallelization for large-scale data processing and model training is a plus.

Skills

Data Science
Statistical Analysis
Machine Learning
AI/ML
Python
R
SQL
Cloud Platforms (AWS, Azure, Databricks)
High-dimensional data analysis
Time-to-event modeling
Longitudinal modeling
Multivariate outcomes analysis
Clinical trial design
Drug development processes
Biomarker data analysis
Regulatory decision-making
Data presentation
Data visualization
NLP
Survival Analysis
Causal ML
Explainable AI
Molecular biology
Disease pathways
Real-world data (RWD/RWE) analysis
EHR data analysis
Claims data analysis
Registry data analysis
Digital health data
Wearable/sensor data analysis
Adaptive trial design
Platform trial design
Biomarker-enriched trial design
Scalable compute
Parallelization
Large-scale data processing
Model training

Location

Brisbane - CA - US
Cambridge Crossing
Princeton - NJ - US
Seattle - WA

Work Type

Full-time
On-site
Hybrid

Experience Level

Senior
Associate Director

Education Level

Ph.D.
Master's Degree

Salary/Compensations

$218,120 - $264,308
$189,670 - $229,834
$208,640 - $252,824

Benefits

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.
Paid Time Off
US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays)
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
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
Annual Global Shutdown between Christmas and New Years Day.

About the Company

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.
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.

Equal Opportunity

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.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.