202 Statistical Programming Jobs - Page 4

Develop, validate, and maintain SDTM, ADaM datasets, and TLFs as per CDISC guidelines Perform efficacy analyses using R programming Work independently on studies and support clinical trial submissions Collaborate with cross-functional teams in FSP.

6 to 8 years of relevant experience in statistical programming Minimum 3 years of hands-on experience with R programming Strong knowledge and working experience with CDISC standards: SDTM, ADaM, and TLF Exposure to efficacy analysis

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are looking for a skilled Statistical Programmer with at least 2 years of experience to write code for the collection, analysis, and presentation of data in various research and business projects. Key Responsibilities:. Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications:. 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are looking for a skilled Statistical Programmer with at least 2 years of experience to write code for the collection, analysis, and presentation of data in various research and business projects. Key Responsibilities:. Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications:. 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are looking for a skilled Statistical Programmer with at least 2 years of experience to write code for the collection, analysis, and presentation of data in various research and business projects. Key Responsibilities:. Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications:. 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are looking for a skilled Statistical Programmer with at least 2 years of experience to write code for the collection, analysis, and presentation of data in various research and business projects. Key Responsibilities:. Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications:. 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

Plan and lead the development of project-related solutions to the full scope of statistical programming tasks Provide technical expertise to the Statistical Programming department Essential Functions Perform and plan: (i) the programming, testing, and documentation of programs for use in creating statistical tables, figures and listing summaries, (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients May perform and plan the programming of database quality control checks Program the integration of databases from multiple studies or sources Develop programming documentation including plans and specifications, as appropriate Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department Perform and plan the development, implementation and validation of new process technologies, macros and applications Fulfill project responsibilities at the level of statistical team lead for single studies, under supervision Understand the Scope of Work, estimate the work completed, and manage Out of Scope for single studies May manage budget and resource requirements and provide revenue and resource forecasts for single studies May be required to understand budget and quote assumptions Provide training and guidance to lower level and new staff Qualifications Master's Degree Computer science or related field and 5 year relevant experience Req Or Bachelor's Degree Computer science or related field and 5 years relevant experience Req Equivalent combination of education, training and experience Req Knowledge of statistics, programming and/or clinical drug development process Working knowledge of computing applications such as Base SAS, SAS/STAT and SAS Macro Language Good organizational, interpersonal, leadership and communication skills Ability to effectively handle multiple tasks and projects Excellent accuracy and attention to detail Ability to establish and maintain effective working relationships with coworkers, managers and clients

The role owns the end-to-end capacity and resource planning for the back-office operation of our global Candidate Services organization. We are looking for an experienced individual who is passionate about the Customer Experience of their internal stakeholder, who thinks and acts globally, and who has the ability to contribute to innovations in our worldwide planning team. Love data as much as we do? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? Want to influence at Amazon? We have the career for you. The successful candidate will have exceptional communication and organizational skills, superior attention to detail, the ability to prioritize in a fast-paced environment, a desire to innovate and continuously learn, analytical and critical thinking skills, and the customer service focus that the world associates with and expects from Amazon. Working on a diverse project portfolio supporting Planning initiatives and strategy. Cross-functional collaboration across multiple business teams, Operations, Global Outsourcing and Program Management. Create new reporting & analytic opportunities by analyzing and understanding key planning processes. Document writing and presentations on key initiatives used to influence necessary business actions benefiting the back-office operations Create optimal capacity plan for the business by managing trade-offs between Candidate Experience and Cost Effectiveness. Coordinate with Operations and PM teams to analyze historical data and demand forecasts and build out headcount planning models for future growth. Mitigate capacity risks by managing dependencies across multiple operational teams and sites. Capacity planning for new business/sites. Improve and automate existing practices. Scopes out the requirements for new metrics and tools. About the team The WFS GCO Global Planning Team s mission is to ensure WFS GCO has the right people, in the right place, at the right time with minimal impact from business / tech disruption and strike the right balance between SLA and cost. The team will focus on building organizational capacity that is flexible and scalable. The Planning team will drive results through consistent monitoring of established goals and metrics that successfully measure, communicate results and allow the team to be proactive vs reactive to changing trends and variances. The Planning team acts as a backbone for entire business vertical by tying the organizational goals with the delivery targets and bridging the gaps by effective headcount planning. Bachelors degree, or 3+ years of Amazon (blue badge/FTE) experience Knowledge of Microsoft Office products and applications 5+ years of experience in planning / workforce management / quantitative research or analysis and hands-on experience in building capacity models in a transactional or call center environment Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight Statistical programming experience using R or Python / experience in statistical modeling tools and/or developing reports using OBIEE, Tableau or other reporting platforms.

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. Read more: careers. bms. com/working-with-us . Key Responsibilities Project Responsibilities: Provides comprehensive programming leadership and support to clinical project teams and vendors, including deployment of programming strategies, standards, specifications and programmed analysis to comply with regulatory requirements, SOPs and work practices Independently develops, validates, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and standards Leads / Supports the electronic submission preparation and review Develops unambiguous and robust programming specifications (e. g. ADaM specifications) Reviews key planning documents (e. g. , statistical analysis plan, data presentation plan, data review plan) to align with project objectives and ensures clarity and completeness of programming assumptions and requirements; Assesses document robustness and impact on programming activities Communicates proactively and effectively around issues and risks and contributes to its remediation Improvement Responsibilities: Identifies, leads, and supports opportunities to enhance processes and technology Communicates proactively and effectively around issues and risks and contributes to its remediation Managerial Responsibilities (if applicable): Effectively recruits, manages, develops, evaluates, rewards, motivates, and retains up to 5 direct reports, resulting in an increasing level of capabilities within GBDS Conducts objective setting, performance check-ins, and year-end discussions in compliance with BMS policies; aligns objectives, feedback and performance evaluation with manager Meets regularly with direct reports, focusing on project updates, development needs, issue resolution, and provides real-time coaching and feedback; holds staff accountable for quality and timeliness of programming activities; ensures staff is compliant with training requirements Communicates with manager regarding promotions, performance concerns, and retention risks Builds and maintains a network with stakeholders and peers to ensure cross-functional strategies and objectives intertwine and build upon each other to achieve results. Skills, knowledge, and experience Minimum Requirements: Bachelor s degree in statistics, biostatistics, mathematics, computer science or life sciences required At least 8 years programming experience in industry including support of significant regulatory filings Proficient knowledge of drug development process, clinical trial methodology, regulatory guidance, industry standards, statistical concepts, and medical terminology used in the analysis and submission of clinical data Broad expertise in statistical programming and in developing computing strategies In-depth understanding of clinical data structure (e. g. CDISC standards) and relational databases Demonstrated proficiency in using SAS to produce analysis datasets and TFLs and in using other software tools and applications (e. g. MS office, XML, Pinnacle 21) Demonstrated ability in processing of upstream data (e. g. multiple data forms, workflows, eDC, SDTM); Demonstrated ability in providing deliverables to meet downstream requirements, (e. g. ADaM, TFLs, e-submission components) Demonstrated ability to work in a team environment with clinical team members Preferred Requirements: Management experience supervising technical professionals If 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. 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. 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 physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. 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. 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 adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. 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/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Roles and Responsibilities Conduct statistical analyses using Python, R, SAS, SQL, and other relevant tools to solve business problems. Develop predictive models and machine learning algorithms to drive business insights. Collaborate with cross-functional teams to design and implement data-driven solutions. Provide expert advice on statistical modeling, data mining, and analytics best practices. Stay up-to-date with industry trends and advancements in statistics and mathematics.

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualification Master of Engineering,Masters in Business Economics

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualification Master of Engineering,Masters in Business Economics

Skill required: Life Sciences (AR&D) Services - SDTM Programming Designation: Associate Qualifications: Any Graduation,BE,BTech Years of Experience: 1-3 yrs About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the worlds leading biopharma companies bring their vision to life enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.sdtm programmerProgram mapping of eCRF and external data into SDTM standards using SAS/ETL tools as applicable. What are we looking for sdtm programmersdtm programmer Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your primary interaction is within your own team and your direct supervisor In this role you will be given detailed instructions on all tasks The decisions that you make impact your own work and are closely supervised You will be an individual contributor as a part of a team with a predetermined, narrow scope of work Please note that this role may require you to work in rotational shifts Qualification Any Graduation,BE,BTech

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 - 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domainsEnergy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. QualificationsMasters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domainsEnergy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. QualificationsMasters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Qualification Any Graduation

Job Overview Provide advanced technical expertise to develop and maintain programs to meet internal and external clients needs. Plan and lead the development of project-related solutions to the full scope of statistical programming tasks. Provide technical expertise to the Statistical Programming department. Essential Functions • Perform and plan: (i) the programming, testing, and documentation of programs for use in creating statistical tables, figures and listing summaries, (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. • Program the integration of databases from multiple studies or sources. • Develop programming documentation including plans and specifications, as appropriate. • Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department. • Perform and plan the development, implementation and validation of new process technologies, macros and applications. • Fulfill project responsibilities at the level of statistical team lead for single studies, under supervision. • Understand the Scope of Work, estimate the work completed, and manage Out of Scope for single studies. May manage budget and resource requirements and provide revenue and resource forecasts for single studies. May be required to understand budget and quote assumptions. • Provide training and guidance to lower level and new staff. Qualifications • Master's Degree Computer science or related field and 1 year relevant experience Req Or • Bachelor's Degree Computer science or related field and 2 years relevant experience Req • Equivalent combination of education, training and experience Req • Knowledge of statistics, programming and/or clinical drug development process • Working knowledge of computing applications such as Base SAS, SAS/STAT and SAS Macro Language • Good organizational, interpersonal, leadership and communication skills • Ability to effectively handle multiple tasks and projects • Excellent accuracy and attention to detail • Ability to establish and maintain effective working relationships with coworkers, managers and clients

- UG/PG in Statistics, Mathematics, Life sciences, Engineering or Computer related subjects - Min. 6 yrs Exp in Statistical Programming-TLF,ADAM,SDTM,SAS Macros Developement CALL@WHATSAPP- RUKHSAR-9899875055 SHRUTI- 9911988551 SUHANI-9911988552

Sr Biostatistician Job Responsibilities Provides support across all assigned statistical tasks during the lifecycle of the project, from protocol to CSR. Prepares Statistical Analysis Plans (SAPs), including development of well-presented mock-up displays for tables, listings, and figures. Collaborate with the sponsor, if required. May be responsible for the statistical aspects of the protocol, generation of randomization schedule, publications and input to the clinical study report. Coordinates the activities of other biostatistics and statistical programming personnel on assigned projects to ensure timely completion of high quality work. Provides independent review of project work produced by other biostatisticians in the department. Creates or reviews programming specifications for analysis datasets, tables, listings, and figures. Reviews SAS annotated case report forms (CRFs), database design, and other study documentation to ensure protocol criteria are met and all data is captured as required to support a high quality database and the planned analysis. Conducts and participates in verification and quality control of project deliverables, ensuring that output meets expectations and is consistent with analysis described in SAP and specifications. Implements company objectives, and create alternative solutions to address business and operational challenges. Serves as biostatistics representative on project teams, interfacing as necessary with other departmental project team representatives. This would include preparing in advance for internal meetings, contributing ideas, and demonstrating respect for opinions of others. Manages scheduling and time constraints across multiple projects, sets goals based on priorities from management, adapts to timeline or priority changes by reorganizing daily workload, and proactively communicates to biostatistics management any difficulties with meeting these timelines. Monitors progress on study activities against agreed upon milestones and ensures the study timelines for project deliverables are met. Identifies out of scope tasks and escalate to management. Provides statistical programming support as needed. May participate in Data Safety Monitoring Board and/or Data Monitoring Committee activities, including charter development and serving as an independent non-voting biostatistician. May lead projects involving integrated analyses, attend regulatory agency meetings or respond to questions, as needed, to support the statistical analysis results of clinical trials on behalf of the sponsor. Follows applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up-to-date project documentation, and verification/quality control documents and programs; ensuring inspection readiness. Displays willingness to work with others and assists with projects and initiatives as necessary to meet the needs of the business. Supports business development activities by contributing to proposals, budgets, and attending sponsor bid defense meetings. Coaches and mentors other Biostatistics staff. Performs other work-related duties as assigned. Minimal travel may be required. Qualifications Graduate degree in biostatistics or related discipline. Moderate experience in clinical trials or an equivalent combination of education and experience. Proficiency in programming. Ability to apply knowledge of statistical design, analysis, relevant regulatory guidelines, and programming techniques utilized in clinical research and to effectively communicate statistical concepts. Experience across all statistical tasks required to support clinical trials during the lifecycle of the project, from protocol to CSR. Excellent written and verbal communication skills. Ability to read, write, speak, and understand English.

Sr Statistical Programmer - SDTM, ADAM & TLFs Job Responsibilities Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other Programmers, Biostatisticians, and other project team members to resolve discrepancies or any findings. Keeps project team members informed of programming progress and issues requiring their attention. Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines allvariables to be accepted by peer review and sponsor/requestor with little rework. Prepares in advance for internal meetings, contributes ideas, and demonstrates respect for opinions of others. Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programming deliverables. Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities. Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process. Transfers deliverables. Performs other work-related duties as assigned. Minimal travel may be required Qualifications Should have an experience of 5+ years in Clinical Statistical programming with expertise in end-to-end programming (SDTM, ADAM & TLGs). Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment. Excellent written and verbal communication skills. Ability to read, write, speak and understand English.

Sr Statistical Programmer Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we re able to create a place where everyone feels like they belong. Job Responsibilities Develop and maintain programs to create analysis datasets, tables, and figures, ensuring accuracy and compliance with statistical standards Provide comprehensive statistical programming support for statisticians, clients, or business needs, including troubleshooting and resolving programming issues Source, organize, and interpret complex data sets, utilizing advanced coding techniques to ensure data integrity and usability Collaborate with statisticians and other stakeholders to understand project requirements and deliver high-quality statistical outputs Evaluate existing programming processes, identify areas for improvement, and implement revisions to enhance productivity and efficiency Contribute to the design, implementation, and delivery of processes, programs, and policies, leveraging in-depth knowledge and skills within the statistical programming discipline Direct the work of lower-level professionals, providing guidance and mentorship to ensure the successful completion of projects and tasks Manage processes and programs related to statistical programming, ensuring alignment with organizational goals and objectives Ensure effective communication and collaboration with cross-functional teams to meet the needs of statisticians, clients, or businesses Stay updated with the latest advancements in statistical programming and data analysis techniques, continuously improving skills and knowledge to deliver innovative solutions Qualifications: Advanced degree in Statistics, Computer Science, or a related field Proven experience in statistical programming and data analysis Strong knowledge of programming languages such as SAS, R, or Python Familiarity with data visualization tools and techniques Excellent problem-solving and analytical skills Ability to work independently and manage multiple projects simultaneously Certifications: SAS Certified Advanced Programmer for SAS 9 or equivalent certification Certification in data analysis or statistical programming is preferred Necessary Skills: Proficiency in statistical programming and data manipulation Strong understanding of statistical methodologies and data analysis techniques Ability to develop and implement efficient programming solutions Excellent communication and collaboration skills Attention to detail and commitment to quality Ability to adapt to changing project requirements and priorities Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Principal Stat Programmer (ADAM + TFL) Job Responsibilities - The ideal candidate will have extensive experience in statistical programming above 5 plus years within clinical research, specifically in supporting Phase 2 and Phase 3 studies. This role involves leading programming activities, overseeing project deliverables, and ensuring compliance with regulatory standards and timelines. Uses SAS, or other software, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other programmers, biostatisticians, and other project team members to resolve discrepancies or any findings. Keeps project team members informed of programming progress and issues requiring their attention. Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical or sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework. Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Accountable for on-time delivery across concurrent programming deliverables. Negotiates programming timelines and provides risk mitigation plans for projects or programs, as needed. Proactively informs management of the status of deliverables and significant project or program issues, including planned resolutions. Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programming deliverables. Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities. Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process. Maintains a good working knowledge of clinical drug development, industry standards, and electronic submission requirements; serves as a technical expert resource to other department members for complex programming questions. Works cooperatively with other biostatistics and statistical programming personnel to establish standard operation procedures (SOPs), guidelines, policies, and/or procedures. Contributes technical expertise to the development of programming tools and macros for standardization and efficiency. When serving as a technical subject matter expert for CDISC and other industry and regulatory requirements, provides guidance and training to the Biostatistics group and other departments on the appropriate use of CDISC Standards When serving as a subject matter expert for CDISC and other industry and regulatory requirements, performs compliance reviews of project deliverables for CDISC deliverables including SDTM and ADaM specifications and datasets as well asany regulatory required documents. (i.e. DEFINE.XML) When serving as a subject matter expert for CDISC and other industry and regulatory requirements, actively participates in industry standards organizations and provides regular updates to the Biometrics Department on upcoming changes to those standards. Transfers deliverables. Performs other work-related duties as assigned. Minimal travel may be required Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment as demonstrated by the ability to lead multiple complex and/or global projects with teams of statistical programmers. Knowledge and experience in the use of CDISC Standards for regulatory agency requirements. Experience in submissions to a regulatory agency preferred. Experience in mentoring others in clinical trial process and CDISC Standards. Excellent written and verbal communication skills. Ability to read, write, speak and understand English.

Principal Statistical Programmer Job Responsibilities Develop and maintain statistical programming standards and best practices Provide technical expertise and leadership in the development of statistical programs Collaborate with statisticians and other stakeholders to understand and address their programming needs Ensure the accuracy and integrity of data and statistical outputs Troubleshoot and resolve programming issues and challenges Mentor and train junior programmers and other team members Contribute to the continuous improvement of programming processes and tools Design and implement efficient programming solutions to meet project requirements Conduct code reviews and provide constructive feedback to ensure high-quality programming deliverables Stay updated with the latest advancements in statistical programming and incorporate relevant techniques into practice Qualifications Advanced degree in Statistics, Computer Science, or a related field Extensive experience in statistical programming, preferably in a clinical or pharmaceutical setting Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills Certifications SAS Certified Advanced Programmer for SAS 9 or equivalent certification preferred Necessary Skills Expertise in statistical programming and data analysis Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills

Principal Stat Programmer - SDTM, ADAMs & TLFs- Consumer Health Job Responsibilities Uses SAS, or other software, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other programmers, biostatisticians, and other project team members to resolve discrepancies or any findings. Keeps project team members informed of programming progress and issues requiring their attention. Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical or sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately definesall variables to be accepted by peer review and sponsor/requestor with little rework. Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Accountable for on-time delivery across concurrent programming deliverables. Negotiates programming timelines and provides risk mitigation plans for projects or programs, as needed. Proactively informs management of the status of deliverables and significant project or program issues, including planned resolutions. Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programmingdeliverables. Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities. Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process. Maintains a good working knowledge of clinical drug development, industry standards, and electronic submission requirements; serves as a technical expert resource to other department members for complex programming questions. Works cooperatively with other biostatistics and statistical programming personnel to establish standard operation procedures (SOPs), guidelines, policies, and/or procedures. Contributes technical expertise to the development of programming tools and macros for standardization and efficiency. When serving as a technical subject matter expert for CDISC and other industry and regulatory requirements, provides guidance and training to the Biostatistics group and other departments on the appropriate use of CDISC Standards When serving as a subject matter expert for CDISC and other industry and regulatory requirements, performs compliance reviews of project deliverables for CDISC deliverables including SDTM and ADaM specifications and datasets as well as any regulatory required documents. (i.e. DEFINE.XML) When serving as a subject matter expert for CDISC and other industry and regulatory requirements, actively participates in industry standards organizations and provides regular updates to the Biometrics Department on upcoming changes to those standards. Transfers deliverables. Performs other work-related duties as assigned. Minimal travel may be required Qualifications - Must have more than 8 years experience in Clinical SAS programming - Must have good experience in SDTM, ADAM programming, specification creation, TLFs - Should have study lead experience of managing minimum 3 studies at a time. - eSub Experience - Define.xml Creation and Validation - Creation/Validation of SDRG/ADRG - Creation of eSub Packages to FDA - Excellent communication, presentation, interpersonal skills, both written and spoken, with an ability to inform, influence, convince, and persuade Experience in mentoring others in clinical trial process and CDISC Standards.

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. Read more: careers. bms. com/working-with-us . Key Responsibilities Project Responsibilities: Provides comprehensive programming leadership and support to clinical project teams and vendors, including deployment of programming strategies, standards, specifications and programmed analysis to comply with regulatory requirements, SOPs and work practices Independently develops, validates, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and standards Leads / Supports the electronic submission preparation and review Develops unambiguous and robust programming specifications (e. g. ADaM specifications) Reviews key planning documents (e. g. , statistical analysis plan, data presentation plan, data review plan) to align with project objectives and ensures clarity and completeness of programming assumptions and requirements; Assesses document robustness and impact on programming activities Communicates proactively and effectively around issues and risks and contributes to its remediation Improvement Responsibilities: Identifies, leads, and supports opportunities to enhance processes and technology Communicates proactively and effectively around issues and risks and contributes to its remediation Managerial Responsibilities (if applicable): Effectively recruits, manages, develops, evaluates, rewards, motivates, and retains up to 5 direct reports, resulting in an increasing level of capabilities within GBDS Conducts objective setting, performance check-ins, and year-end discussions in compliance with BMS policies; aligns objectives, feedback and performance evaluation with manager Meets regularly with direct reports, focusing on project updates, development needs, issue resolution, and provides real-time coaching and feedback; holds staff accountable for quality and timeliness of programming activities; ensures staff is compliant with training requirements Communicates with manager regarding promotions, performance concerns, and retention risks Builds and maintains a network with stakeholders and peers to ensure cross-functional strategies and objectives intertwine and build upon each other to achieve results Skills, knowledge, and experience Minimum Requirements: Bachelor s degree in statistics, biostatistics, mathematics, computer science or life sciences required At least 8 years programming experience in industry including support of significant regulatory filings Proficient knowledge of drug development process, clinical trial methodology, regulatory guidance, industry standards, statistical concepts, and medical terminology used in the analysis and submission of clinical data Broad expertise in statistical programming and in developing computing strategies In-depth understanding of clinical data structure (e. g. CDISC standards) and relational databases Demonstrated proficiency in using SAS to produce analysis datasets and TFLs and in using other software tools and applications (e. g. MS office, XML, Pinnacle 21) Demonstrated ability in processing of upstream data (e. g. multiple data forms, workflows, eDC, SDTM); Demonstrated ability in providing deliverables to meet downstream requirements, (e. g. ADaM, TFLs, e-submission components) Demonstrated ability to work in a team environment with clinical team members Preferred Requirements: Management experience supervising technical professionals If 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. 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. 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 physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. 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. 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 adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. 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/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

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. Read more: careers. bms. com/working-with-us . Key Responsibilities Create SAS programs to generate derived analysis datasets and content for tables, listings, and figures; Perform programming validation to ensure quality of analysis datasets and programming outputs Support the electronic submission preparation and review Reviews key planning documents (e. g. , statistical analysis plan, data presentation plan, data review plan) to ensure alignment with development team objectives and clarity and completeness of programming assumptions and requirements; Assesses impact on programming activities Interacts with vendors regarding project standards, programming conventions, programming specifications and file transfers Provides leadership for ensuring quality of Global Biometric and Data Sciences (GBDS) deliverables by consistently applying standards and complying with regulatory requirements, guidance and corporate and departmental SOPs and work practices Identifies opportunities for increased efficiency and consistency within GBDS and our interactions with strategic vendors Independently leads and / or performs programming assignments across multiple projects with minimal supervision Support improvement initiatives Skills, knowledge, and experience Minimum Requirements: Bachelor s degree in statistics, biostatistics, mathematics, computer science or life sciences required. At least 5 years programming experience in industry. Demonstrated proficiency in using SAS to produce derived analysis datasets and TFLs. Have in-depth understanding of clinical data structure (e. g. CDISC standards) and relational database. Demonstrated skills in using software tools and applications, e. g. , MS office, XML, Pinnacle 21. Demonstrated ability in the handling and processing of upstream data, e. g. , multiple data forms, workflow, eDC, SDTM. Demonstrated ability in providing outputs to meet downstream requirements, e. g. , ADaM, Data Definition Table, e-submission. Have good understanding of regulatory, industry, and technology standards and requirements. Have good knowledge of statistical terminology, clinical tests, medical terminology and protocol designs. Exposure or have working experience on real-world data or real-world evidence Preferred Requirements: Minimum of 5 years clinical / statistical programming experience within pharmaceutical clinical development - Supporting regulatory filings (e. g. NDA, BLA, MAA) Knowledge of the drug development process, clinical trial methodology, statistics and familiarity with global regulatory requirements Experience or solid knowledge in other software, such as R/R-Shiny If 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. 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. 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 physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. 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. 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 adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. 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/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Job Summary What you need to know about the role- In this role, you will be required to develop an extensive knowledge of PayPal s overall Business and will work with large quantities of data to develop deep actionable insights that shape the thinking of senior leaders and our cross-functional partners. We are looking for a talented, ambitious, versatile, and self-motivated, data scientist to drive a last mile strategy solution focusing on value driven outcome. Meet our team PayPal s Global SMB Portfolio Analytics team provides the connecting fiber between Strategy, Go-To-Market, Product, and Marketing teams. We collaborate closely with senior leadership to deliver analytical insights, perform merchant segmentation, drive global initiatives, and develop self-serve tools to empower our teams and enhance decision-making. Job Description Your way to impact You believe in data-driven decisions and use data to answer business questions You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance You are curious and inquisitive you love digging into data and uncovering insights You can structure complex problems in simple terms. Be an independent thinker, able to work autonomously on projects with complexity both on the technical side and on the business implications side Your day to day Develop a deep understanding of PayPal s overall key strategic initiatives of the SMB business. Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to our main business stakeholders to facilitate data-driven decision making. Synthesizing large volumes of data with attention to granular details to discover new opportunities to grow and optimize the business using state-of-the-art tools and techniques. Build exec-facing insights, reports, and dashboards to track and present the progress of its highest-priority initiatives and present findings and recommendations to senior-level stakeholders Drive automation of repetitive process and build and deliver self-serve tools to empower Business stakeholders. What do you need to bring- Data-driven mindset, with a degree in a quantitative discipline such as Engineering, Computer Science, Statistics, Mathematics or Economics. At least 4 years of relevant work experience in analysing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations. Strong interpersonal and project management skills, ability to lead cross-functionally. Strong organizational, multi-tasking, and prioritizing skills, sets and meets deadlines Fluent in SQL and Excel, and visualization tools such as Tableau or Looker; experience with a statistical programming language like Python or R is preferred **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.