Director Biostats Real World Evidence
Bristol-Myers Squibb
Director Biostats Real World Evidence
Job Description
Independently leads, initiates, and oversees the statistical support of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results Independently lead curation and assessment of the quality of RWD assets to ensure their suitability and understanding for intended use. Lead the design and implementation of data pipelines to transform raw RWD into datasets ready for analysis. Lead and oversee exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation. Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis. Collaborate with cross-functional teams—including TA-Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT—to define data requirements and analytical strategies. Ensure all work complies with data governance, privacy, and regulatory standards. Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics. Enhance understanding of the drug development process, as well as regulatory and commercial requirements. Represents BMS at professional societies, and in industry-wide technical discussions. Contributes to the statistical community of practice. Provides active coaching to RWE team members when developing solutions to problems. Enables a culture of inclusiveness, respect for diversity, and compliance with process Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Supporting People with Disabilities PhD (9+ years' experience) or MS (11+ years' experience) Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field. 3+ years of experience working with real-world healthcare data (claims, EMR, registries, etc.). 6+ years of experience in pharmaceutical industry (e.g. Pharma, CRO, Biotech) and clinical trials. Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis. AI/ML knowledge is a plus. Extensive experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets. Extensive RWD trial design and analysis experience Good understanding of industry RWD vendor database. Experience in preparing and participating in global regulatory agency interactions. Ability to communicate complex real-world data concepts to non-technical stakeholders. Ability to work successfully within cross-functional teams Ability to organize multiple work assignments and establish priorities Strong understanding of healthcare industry regulatory compliant data standards.
About the Role/Company
- BMS is involved in the pharmaceutical industry and values inclusiveness, diversity, and compliance
Key Responsibilities
- Independently lead, initiate, and oversee the statistical support of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results
- Independently lead curation and assessment of the quality of RWD assets to ensure their suitability and understanding for intended use
- Lead the design and implementation of data pipelines to transform raw RWD into datasets ready for analysis
- Lead and oversee exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation
- Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis
- Collaborate with cross-functional teams—including TA-Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT—to define data requirements and analytical strategies
- Ensure all work complies with data governance, privacy, and regulatory standards
- Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics
- Enhance understanding of the drug development process, as well as regulatory and commercial requirements
- Represent BMS at professional societies, and in industry-wide technical discussions
- Contribute to the statistical community of practice
- Provide active coaching to RWE team members when developing solutions to problems
- Enable a culture of inclusiveness, respect for diversity, and compliance with process
Required Qualifications
- PhD with 9+ years' experience or MS with 11+ years' experience in Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field
- + years of experience working with real-world healthcare data (claims, EMR, registries, etc.)
- + years of experience in the pharmaceutical industry (e.g., Pharma, CRO, Biotech) and clinical trials
- Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis
- Extensive experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets
- Extensive RWD trial design and analysis experience
- Good understanding of industry RWD vendor database
- Experience in preparing and participating in global regulatory agency interactions
Preferred Qualifications
- AI/ML knowledge
Skills Required
- Ability to communicate complex real-world data concepts to non-technical stakeholders
- Ability to work successfully within cross-functional teams
- Ability to organize multiple work assignments and establish priorities
- Strong understanding of healthcare industry regulatory compliant data standards
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
- Support for people with disabilities
Locations
- Madison Giralda NJ, United States
- Princeton NJ, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
200,000 - 300,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Ability to communicate complex real-world data concepts to non-technical stakeholdersintermediate
- Ability to work successfully within cross-functional teamsintermediate
- Ability to organize multiple work assignments and establish prioritiesintermediate
- Strong understanding of healthcare industry regulatory compliant data standardsintermediate
Required Qualifications
- PhD with 9+ years' experience or MS with 11+ years' experience in Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field (experience)
- + years of experience working with real-world healthcare data (claims, EMR, registries, etc.) (experience)
- + years of experience in the pharmaceutical industry (e.g., Pharma, CRO, Biotech) and clinical trials (experience)
- Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis (experience)
- Extensive experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets (experience)
- Extensive RWD trial design and analysis experience (experience)
- Good understanding of industry RWD vendor database (experience)
- Experience in preparing and participating in global regulatory agency interactions (experience)
Preferred Qualifications
- AI/ML knowledge (experience)
Responsibilities
- Independently lead, initiate, and oversee the statistical support of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results
- Independently lead curation and assessment of the quality of RWD assets to ensure their suitability and understanding for intended use
- Lead the design and implementation of data pipelines to transform raw RWD into datasets ready for analysis
- Lead and oversee exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation
- Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis
- Collaborate with cross-functional teams—including TA-Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT—to define data requirements and analytical strategies
- Ensure all work complies with data governance, privacy, and regulatory standards
- Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics
- Enhance understanding of the drug development process, as well as regulatory and commercial requirements
- Represent BMS at professional societies, and in industry-wide technical discussions
- Contribute to the statistical community of practice
- Provide active coaching to RWE team members when developing solutions to problems
- Enable a culture of inclusiveness, respect for diversity, and compliance with process
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
- general: Support for people with disabilities
Tags & Categories
Director Biostats Real World Evidence
Bristol-Myers Squibb
Director Biostats Real World Evidence
Job Description
Independently leads, initiates, and oversees the statistical support of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results Independently lead curation and assessment of the quality of RWD assets to ensure their suitability and understanding for intended use. Lead the design and implementation of data pipelines to transform raw RWD into datasets ready for analysis. Lead and oversee exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation. Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis. Collaborate with cross-functional teams—including TA-Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT—to define data requirements and analytical strategies. Ensure all work complies with data governance, privacy, and regulatory standards. Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics. Enhance understanding of the drug development process, as well as regulatory and commercial requirements. Represents BMS at professional societies, and in industry-wide technical discussions. Contributes to the statistical community of practice. Provides active coaching to RWE team members when developing solutions to problems. Enables a culture of inclusiveness, respect for diversity, and compliance with process Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Supporting People with Disabilities PhD (9+ years' experience) or MS (11+ years' experience) Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field. 3+ years of experience working with real-world healthcare data (claims, EMR, registries, etc.). 6+ years of experience in pharmaceutical industry (e.g. Pharma, CRO, Biotech) and clinical trials. Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis. AI/ML knowledge is a plus. Extensive experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets. Extensive RWD trial design and analysis experience Good understanding of industry RWD vendor database. Experience in preparing and participating in global regulatory agency interactions. Ability to communicate complex real-world data concepts to non-technical stakeholders. Ability to work successfully within cross-functional teams Ability to organize multiple work assignments and establish priorities Strong understanding of healthcare industry regulatory compliant data standards.
About the Role/Company
- BMS is involved in the pharmaceutical industry and values inclusiveness, diversity, and compliance
Key Responsibilities
- Independently lead, initiate, and oversee the statistical support of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results
- Independently lead curation and assessment of the quality of RWD assets to ensure their suitability and understanding for intended use
- Lead the design and implementation of data pipelines to transform raw RWD into datasets ready for analysis
- Lead and oversee exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation
- Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis
- Collaborate with cross-functional teams—including TA-Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT—to define data requirements and analytical strategies
- Ensure all work complies with data governance, privacy, and regulatory standards
- Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics
- Enhance understanding of the drug development process, as well as regulatory and commercial requirements
- Represent BMS at professional societies, and in industry-wide technical discussions
- Contribute to the statistical community of practice
- Provide active coaching to RWE team members when developing solutions to problems
- Enable a culture of inclusiveness, respect for diversity, and compliance with process
Required Qualifications
- PhD with 9+ years' experience or MS with 11+ years' experience in Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field
- + years of experience working with real-world healthcare data (claims, EMR, registries, etc.)
- + years of experience in the pharmaceutical industry (e.g., Pharma, CRO, Biotech) and clinical trials
- Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis
- Extensive experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets
- Extensive RWD trial design and analysis experience
- Good understanding of industry RWD vendor database
- Experience in preparing and participating in global regulatory agency interactions
Preferred Qualifications
- AI/ML knowledge
Skills Required
- Ability to communicate complex real-world data concepts to non-technical stakeholders
- Ability to work successfully within cross-functional teams
- Ability to organize multiple work assignments and establish priorities
- Strong understanding of healthcare industry regulatory compliant data standards
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
- Support for people with disabilities
Locations
- Madison Giralda NJ, United States
- Princeton NJ, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
200,000 - 300,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Ability to communicate complex real-world data concepts to non-technical stakeholdersintermediate
- Ability to work successfully within cross-functional teamsintermediate
- Ability to organize multiple work assignments and establish prioritiesintermediate
- Strong understanding of healthcare industry regulatory compliant data standardsintermediate
Required Qualifications
- PhD with 9+ years' experience or MS with 11+ years' experience in Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field (experience)
- + years of experience working with real-world healthcare data (claims, EMR, registries, etc.) (experience)
- + years of experience in the pharmaceutical industry (e.g., Pharma, CRO, Biotech) and clinical trials (experience)
- Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis (experience)
- Extensive experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets (experience)
- Extensive RWD trial design and analysis experience (experience)
- Good understanding of industry RWD vendor database (experience)
- Experience in preparing and participating in global regulatory agency interactions (experience)
Preferred Qualifications
- AI/ML knowledge (experience)
Responsibilities
- Independently lead, initiate, and oversee the statistical support of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results
- Independently lead curation and assessment of the quality of RWD assets to ensure their suitability and understanding for intended use
- Lead the design and implementation of data pipelines to transform raw RWD into datasets ready for analysis
- Lead and oversee exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation
- Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis
- Collaborate with cross-functional teams—including TA-Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT—to define data requirements and analytical strategies
- Ensure all work complies with data governance, privacy, and regulatory standards
- Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics
- Enhance understanding of the drug development process, as well as regulatory and commercial requirements
- Represent BMS at professional societies, and in industry-wide technical discussions
- Contribute to the statistical community of practice
- Provide active coaching to RWE team members when developing solutions to problems
- Enable a culture of inclusiveness, respect for diversity, and compliance with process
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
- general: Support for people with disabilities
Tags & Categories