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.

Requirements

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 modes, 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.

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 (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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisAI algorithmsDL algorithmsML algorithmsstatistical methodsgeneralized linear modelsnonlinear modelssurvival analysisprogramming languages (R, Python)NLP

Soft Skills

communication skillsorganizational skillsmotivational skillsleadership skillsinterpersonal skillsteam developmentstrategic planningproblem-solvingadaptabilitycollaboration

Certifications

PhD in BiostatisticsPhD in StatisticsPhD in BioinformaticsPhD in Computer Science