Senior Manager, Data Science

Bristol-Myers Squibb; Warszawa; On-site; PLN 354,000 - 430,000; Full time

Job summary

Bristol Myers Squibb is seeking a Senior Manager, Data Science to advance the global drug development process. You will lead cutting-edge analyses across multimodal data types including genomics, proteomics, imaging, and real-world data, collaborating with statisticians, translational scientists, and clinical teams.

The role requires a PhD in a quantitative field or a Master’s with extensive industry experience, strong Python/R/SQL skills, and expertise in AI/ML methods, NLP, and explainable AI.

Qualifications

• PhD in a quantitative field with 1+ years of academic/industry experience.

Responsibilities

• Develop and apply novel computational methods for multimodal datasets in drug development.
• Collaborate with statisticians, clinicians, and data engineers to implement scalable analytics.
• Build reproducible analytical pipelines using Python, R, SQL, and cloud platforms.
• Communicate results to technical and non-technical stakeholders with strong data visualization.

Skills

Data science

Statistics

Machine learning

NLP

Causal ML

Explainable AI

Python

R

SQL

Cloud platforms

Education

PhD in Computational Biology/ Biostatistics/ Statistics/ Biomedical Engineering/ Computer Science

Master's in a quantitative field

Tools

Python

R

SQL

Databricks

AWS/Azure

Job description

Working with UsChallenging. 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. Read more: careers.bms.com/working-with-us .Senior Manager, Data ScienceDepartment: Data Science and Advanced Analytics (DSAA)Position SummaryThis is a new position. You will join a cutting-edge Drug Development Data Science and Advanced Analytics (DSAA) team to advance the global drug development process. We are looking for a candidate with strong computational, statistical, and biological capabilities and a demonstrated track record of translating complex, multi-modal data into testable hypotheses and actionable insights in support of clinical development activities and decisions.As a hands-on individual contributor, you will drive exploratory and confirmatory analyses (both hypothesis-generating and hypothesis-driven) across diverse data types generated in drug development, including clinical trial data, genomics, proteomics, imaging, flow cytometry, and other biomarker modalities. You will define and implement approaches, processes, algorithms, and pipelines that support the analytics, visualization, and decision support needs of drug development scientists and project teams, while collaborating closely with Biostatistics leads, Translational and Clinical Scientists, and cross-functional partners across the organization. We are looking for a hands-on, state-of-the-art practitioner.What You'll DoData Science & AnalyticsDevelop and apply novel or existing computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets in partnership with Translational, Clinical, and Statistical ScientistsExecute 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 typesDevelop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and disparate datasets generated across early-to-late phase drug developmentFormulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scalePerform relevant and innovative statistical analyses of high-dimensional data (e.g., gene expression, sequencing, imaging features) generated by cutting-edge technologiesApply modern machine learning capabilities — including AI/ML, deep learning, NLP, causal ML, and explainable AI — across multiple data modalities and clinical development contextsApply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modeling, and appropriate handling of missing data and censoringContribute to the scientific and statistical strategy of drug development programs, including the development of predictive biomarkers, novel trial designs, and precision medicine approachesData Engineering & ReproducibilityBuild and maintain well-structured, reproducible, version-controlled analytical pipelines and codebases using Python, R, SQL, and cloud platformsDevelop and apply data quality frameworks to assess and ensure fitness-for-purpose of diverse data sources for specific analytical questionsImplement strong evaluation practices including appropriate cross-validation strategies, calibration assessment, and transparent reporting of model performance and limitationsBuild scalable, automated processes for delivering analytical results across multiple programs and data typesCollaboration & Technical ContributionPartner with lead and protocol statisticians in contributing to statistical analysis plans (SAPs) for exploratory data science analyses supporting drug development programsCollaborate with cross-functional teams including clinicians, translational medicine scientists, biostatisticians, data engineers, and IT/engineering professionalsContribute to team excellence via code reviews, technical mentorship, and raising the overall engineering and methodological rigor of the teamCommunicate analytical results clearly and effectively to both technical and non-technical stakeholders, with strong data presentation and visualization skillsManage and coordinate resources to produce quality deliverables within timelines for competing prioritiesBuild and maintain strong working relationships across the organizationKey RequirementsPh.D. in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, Computer Science, or related field) and 1+ years of academic/industry experience; or Master's Degree in a relevant quantitative field and 3+ years of industry experienceStrong experience in data science and statistical analysis with data generated from clinical trials or electronic health records, particularly in application to pharma R&DExperience in developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomesExperience in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks)Familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-makingPerspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging dataAbility to work both independently and collaboratively, and to handle several concurrent, fast-paced projectsStrong problem-solving and collaboration skills, and rigorous and creative thinkingExcellent communication, data presentation, and visualization skillsCapable of establishing strong working relationships across the organizationPreferred QualificationsExperience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials is highly preferredExperience with NLP is highly preferredExperience with Survival Analysis and time-to-event modeling is highly preferredExperience with causal ML and explainable AI is highly preferredKnowledge of molecular biology and understanding of disease pathways is preferredExperience with real-world data (RWD/RWE) sources and associated analytical methods is preferredFamiliarity with digital health data and wearable/sensor-derived data types is a plusExperience with scalable compute and deployment patterns, including cloud-based platforms and parallelization for large-scale data processing and model training is a plusIf 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.Compensation Overview:Warsaw - PL: zł354,470 - zł429,541The 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 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. The final compensation will be determined based on demonstrated experience and in accordance with pay equity principles and applicable employment laws.Uniquely Interesting Work, Life-changing CareersWith 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 ProtocolBMS 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 DisabilitiesBMS 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 [e-mail] . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.Candidate RightsBMS 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/Data ProtectionWe 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.If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [e-mail] . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.R1605256 : Senior Manager, Data Science