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SAS EG

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🔥 Demographic and Exposure Forecasting Senior – P&C Climate Risk and Exposure Analytics

Posted 4 days ago

📍 United States of America

💸 114080.0 - 205340.0 USD per year

🔍 P&C Climate Risk and Exposure Analytics

🏢 Company: USAAJOBSWD

🔧 Requirements

Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

💡 Responsibilities

Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
Applies advanced analytical techniques to tackle business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
Applies innovative and demographic/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change
Translates recommendation into communication materials to optimally present to various levels of management.
Incorporates visualization techniques and leverages Geospatial/GIS technologies to support the relevant points of the analysis and ease the understanding for less technical audiences.
Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
Understands and embraces emerging technology that can affect the application of scientific methodologies and/or demographically focused analytical approaches to problem resolutions.
Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
Provides subject matter expertise in operationalizing recommendations.
Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)
Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Python SQL Data Analysis Data Mining Machine Learning SAS EG Tableau Regression testing Communication Skills Analytical Skills Risk Management Data visualization Data modeling Data analytics

Posted 4 days ago

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🔥 Principal Pricing Analyst - Home Based

Posted 7 days ago

📍 United Kingdom

🔍 Insurance

🔧 Requirements

A solid understanding of General Insurance underwriting principles
Proven experience of worker within the General Insurance industry
Experience in a Data Science, Pricing, or Actuarial function
Experience of statistical and mathematical techniques, and an understanding of applying these techniques in General Insurance Pricing, risk selection, and analysis
Experience of managing a team, with the ability to engage and motivate
Strong numerical and analytical skills, with a keen eye for problem-solving
Excellent communication and interpersonal skills
Ability to present technical proposals to both technical and non-technical senior stakeholders
Ability to work independently and manage own workload

💡 Responsibilities

Maintain and develop sophisticated pricing models and price optimisation techniques
Analyse, evaluate, and assess new rating factors and develop pricing structures that utilise them
Guide the business in determining pricing action required to achieve business objectives
Acquire and maintain an in-depth knowledge of the pricing and analysis tools used across the team, including WTW Radar, WTW Emblem, SAS Enterprise Guide, SQL, and Python
Automate, streamline, and document pricing processes, maximising efficiency
Present technical proposals to key stakeholders as part of our technical sign-off and governance process
Responsibility for managing certain processes and liaising with relevant stakeholders both within and external to the organisation
Responsibility for the management and career development of your line reports

Python SQL Data Analysis Excel VBA People Management SAS EG Data science Analytical Skills

Posted 7 days ago

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🔥 Principal Statistical Programmer

Posted 7 days ago

📍 US

🧭 Full-Time

🔍 Pharmaceutical, Biotechnology

🏢 Company: Iambic Therapeutics, Inc

🔧 Requirements

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Life Sciences, or a related field.
Minimum of 10 years of experience in statistical programming in the pharmaceutical, biotechnology, or CRO industry.
Proficiency in SAS/Base, SAS/Macro, SAS/SQL, and SAS/Graph.
Strong experience with CDISC standards (SDTM and ADaM) and familiarity with define.xml and Pinnacle 21.
Experience supporting regulatory submissions to FDA and/or EMA.

💡 Responsibilities

Lead the design, development, validation, and maintenance of SAS programs for the generation of SDTM, ADaM, and TLFs (tables, listings, and figures).
Ensure compliance with CDISC standards (SDTM and ADaM), FDA/EMA regulatory guidelines, and internal SOPs.
Collaborate closely with Biostatisticians, Data Managers, and Clinical Operations teams to define programming requirements and timelines.
Perform quality control and peer review of deliverables to ensure accuracy, consistency, and adherence to specifications.
Act as the technical subject matter expert on statistical programming and mentor junior programmers.
Support the preparation of clinical study reports (CSRs), regulatory submission packages (e.g., eCTD, ISS/ISE), and responses to regulatory agencies.
Participate in the development and refinement of departmental processes, templates, and tools to optimize efficiency and quality.
Contribute to vendor oversight and provide technical leadership when outsourcing programming activities.

SAS EG Data modeling Scripting

Posted 7 days ago

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🔥 Senior Director, Biostatistics

Posted 8 days ago

📍 United States

💸 239497.0 - 271577.0 USD per year

🔍 Biotechnology

🏢 Company: careers

🔧 Requirements

Doctorate degree and 5 years of related experience of post-graduate statistical experience in the pharmaceutical industry or medical research OR Master’s degree and 9 years of related experience of post-graduate statistical experience in the pharmaceutical industry or medical research OR Bachelor’s degree and 11 years of related experience of post-graduate statistical experience in the pharmaceutical industry or medical research
5 years of experience directly managing people and/or leading teams, projects, or programs, in Statistics/Biostatistics
statistical leadership to regulatory submissions, including advisory committees
Demonstrated ability to work within a global team and with CRO partners to ensure operational excellence and efficiencies
Life cycle Drug development experience (Pre-clinical Development, Clinical Development, and Post-marketing), hence knowledgeable of the processes and operations
Knowledge/experience of Biosimilars development, including global regulatory requirements and design and analysis of non-inferiority and equivalence trials

💡 Responsibilities

Provide oversight for protocols, Statistical Analysis Plans, Flash Memos/Summary of Report, Clinical Study Reports, submission documents, correspondences with health authorities, clinical publications, reimbursement documents and other communications.
Develops and maintains successful application of statistical excellence in design, analysis, and reporting to all phases of biosimilar development.
Provides strategic statistical input and is a major contributor to clinical development plans.
Ensures standards, technical quality and consistent approaches in clinical development strategy, study design and statistical analysis; maintains indication specific standards with respect to key variables, variable definitions, statistical methods, data structures and presentation of results; and contributes to statistical strategy in Amgen's Biosimilar Development.
Ensures excellent statistical input into regulatory strategies, presentations and scientific reports for clinical trial, regulatory submission, product defense, market support, scientific presentation/publication.
Represents Biosimilar Development on statistical matters at meetings with regulatory authorities, key opinion leaders and similar other expert bodies and defends statistical approaches internally and externally.
Provides oversight and guidance to staff members within Amgen and in CROs in completing study deliverables according to agreed timelines following quality standards.
Responsible for hiring, allocation, management, and development of internal statistical staff, and contributes to developing and managing goals, budgets and resource plans.
Leads and/or participates in the development and review of Policies, SOPs and other controlled documents with CROs or within Amgen's Biosimilar Development for process improvement and operational efficiency.
Promotes, communicates, and becomes an expert in specific statistical methodologies.
Publishes applied research in scientific journals and books and gives presentations on statistical methodology in the biopharmaceutical setting at external scientific meetings.
Stays abreast of and contributes to scientific advances in the field.
Develops and maintains long-term relationships with key statistical opinion leaders, including academics, regulators and other industry leaders.

Leadership Data Analysis People Management SAS EG Data Structures RDBMS

Posted 8 days ago

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🔥 Senior Healthcare Data Analyst

Posted 11 days ago

📍 United States

🔍 Healthcare

🏢 Company: Interwell Health

🔧 Requirements

5+ years of experience in healthcare data analytics, with a focus on population health
5+ years of experience in SQL
Proficiency in statistical software and programming languages such as R, Python, and/or SAS
Proficiency with data visualization tools such as Tableau, Power BI, or similar
Experience in mentoring and training junior team members
Strong understanding of healthcare data sources
Excellent analytical and problem-solving skills
Excellent interpersonal skills
Ability to work independently and collaboratively
Knowledge of VBC, healthcare regulations, standards, and best practices

💡 Responsibilities

Analyze large datasets from various sources
Develop and implement advanced statistical models and algorithms
Conduct population health analyses
Create and maintain dashboards, reports, and visualizations
Provide actionable recommendations
Collaborate with teams to ensure data integrity
Stay current with industry trends

Python SQL Data Analysis ETL SAS EG Tableau Data visualization

Posted 11 days ago

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🔥 Associate Director - SDTM programming

Posted 11 days ago

📍 United States of America

🔍 Pharmaceutical

🏢 Company: DSI👥 5001-10000 Consulting Security Professional Services

🔧 Requirements

10 or More Years proven experience within pharmaceutical industry, or CROs supporting statistical analysis of clinical trials programming preferred
Advanced working knowledge of all aspects of the SAS programming language used in clinical trials programming preferred
Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis preferred

💡 Responsibilities

Supporting project lead on outsourced projects, act as statistical programming subject matter expert (SME) to support outsourced programming activities and be responsible for the programming technical decision.
Provide hands-on statistical programming support to regulatory submission and help submission team in quick turnaround in response to regulatory agencies.
Develop DSI programming standard template on datasets and TFLs to improve efficiency and quality.
Develop and maintain necessary programming macros or tools to effectively support all programming needs.
Evaluate, assess and enhance DSI computing environment system.

Leadership SQL Data Analysis SAS EG Communication Skills Analytical Skills Problem Solving Mentoring Teamwork Data modeling Scripting

Posted 11 days ago

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🔥 Global Head, Statistics Oncology HEOR/HTA

Posted 15 days ago

📍 United States

🔍 Pharmaceutical

🏢 Company: DSI👥 5001-10000 Consulting Security Professional Services

🔧 Requirements

10+ years of professional experience in statistics within pharmaceutical industry, medical device, or similar environment.
A Minimum 5 years of line management and leadership experience
Experience in Oncology in conducting clinical programs and studies, including experience in late phase projects.
Demonstrated expertise and experience in HTA and Pricing and Reimbursement activities, including the use of RWD.

💡 Responsibilities

Lead the strategy of the Statistics within the area of responsibility.
Ensure the execution of departmental activities in compliance with legal and pricing and/or regulatory authority requirements in each global region.
Be responsible for the performance of the global department and for the management and development of the team members.
Define and implement sourcing strategy for the activities under responsibilities.
Final accountability for all the Vendors providing statistics services for projects under responsibility.

Leadership Project Management Data Analysis People Management SAS EG Cross-functional Team Leadership Financial Management Strategic Management Communication Skills Analytical Skills Collaboration Agile methodologies Mentoring Written communication Compliance Excellent communication skills Problem-solving skills MS Office Negotiation skills Active listening Risk Management Team management Stakeholder management Strategic thinking Budget management

Posted 15 days ago

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🔥 Principal Biostatistician

Posted 15 days ago

📍 United States

🧭 Full-Time

💸 133000.0 - 180000.0 USD per year

🏢 Company: Precision Medicine Group👥 1001-5000💰 $35,160,000 about 4 years agoPharmaceutical Biotechnology Medical Precision Medicine Health Care

🔧 Requirements

Experience with SAS
Knowledge of industry standards such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
Broad knowledge and superior understanding of advanced statistical concepts and techniques

💡 Responsibilities

Generate and/or verify randomization schedules
Develop and review statistical methods of the clinical study protocol including complex study designs
Provide and/or verify sample size calculations. Perform or assist with advanced calculations including adaptive design
Provide input into development of case report forms (CRFs)
Author statistical analysis plans, including development of table, figure and listing shells, complex study design and late phase
Review statistical analysis plans written by other biostatisticians
Generate analysis datasets, tables, figures, and listings to support the analysis of clinical trials data using SAS
Perform quality control for statistical based SAS programs and other study documents (e.g., presentations and reports)
Provide or supervise programming and statistical support to supplemental or exploratory analyses for regulatory agencies or any other internal and external ad-hoc requests
Ability to serve as a biostatistical consultant to company staff globally, with understanding of varying regional perspectives
Review output across programs to ensure consistency.
Provide statistical analysis and reports to Data Monitoring Committees (DMCs) as the unblinded biostatistician
Review statistical sections of clinical study reports
Work directly with sponsors, project managers, and external vendors on statistics-related project components
Interact directly with study team
Interact directly with sponsors
Lead all statistical activities for study within timelines
Independently perform budget health review on projects and review monthly invoices
Perform oversight responsibilities on projects for other biostatisticians
Assist with budget development and present at bid defense meetings
Participate in the development and maintenance of departmental procedures and standards (templates, SOPs, WIs etc.)
Review study tasks to ensure study being conducted in line with agreed budget; identify change in scope
Other duties as assigned

SQL Data Analysis Data Mining Machine Learning SAS EG RDBMS Regression testing Compliance Data entry Data visualization Scripting Data management Budget management

Posted 15 days ago

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🔥 Associate Director, Sales Operations Analytics

Posted 16 days ago

📍 United States

🔍 Biotech/pharma

🏢 Company: Arvinas👥 251-500💰 $350,000,000 Post-IPO Equity over 1 year agoPharmaceutical Biotechnology Therapeutics Health Care

🔧 Requirements

8+ years of experience in biotech/pharma industry with relevant experience in sales analytics and sales operations, including knowledge of industry standards and best practices required.
Experience in drug launch required.
Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR, Specialty Pharmacy and other patient level data sets required.
Proven technical and strategic expertise in targeting, alignment, incentive compensation, and field reporting with experience in developing and executing plans that achieve performance metrics required.
Strong knowledge of secondary data sources including syndicated sales (like IQVIA/SHA DDD and XPO), internal sales (like Ex-Factory, 867, 852, 844), promotional & marketing data, longitudinal patient level data; experience with payer data required.
Experience working with large complex data and corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technology such as Hadoop required.
Able to demonstrate strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships and influence without authority required.
Able to demonstrate excellent oral and written communication skills; including describing complex data topics in simple terms. Considerable experience with presentation of statistical analysis results/ complex concepts around targeting, IC, and analytics to a non-technical audience required.
Able to demonstrate strong project management skills--the ability to plan, organize, and execute multiple projects efficiently, on time, and within budget required.
Able to demonstrate business acumen and strategic vision to foresee strategic or executional opportunities and challenges around targeting and IC during a launch period.
Demonstrated competency in navigating large volumes of information to synthesize what is most important and actionable required.
Able to demonstrate a high degree of creativity and innovation in developing new approaches, processes, and methodologies required.
Experience in Oncology preferred.

💡 Responsibilities

Lead analytics to inform sales force sizing and structure, territory alignment, targeting and call planning, incentive compensation of the field sales force and account management, and field reporting.
Design, implement and manage an incentive compensation program, ensuring communication of policy to the field and management oversight of the program. Perform periodic field incentive plan health check to ensure plans meet business targets and brand objectives.
Collaborate with field leadership and account management to develop a call planning tool that can be deployed to sales representatives and managers.
Develop an analytics process and reporting framework for performance and field activity data and provide reporting on key performance indicators, including via dashboards. Support sales teams, account managers and leadership with insightful dashboards and ad hoc reports tracking KPIs and metrics linked to corporate goals.
Interact regularly with Sales Leadership to develop sales analysis and reporting on sales performance, ongoing regional and territory analyses. Provide actionable insights based on trends in performance and activity to Commercial leadership to support field decisions.
Implement proper guardrails to meet compliance requirements for field reporting and quality checks to maintain data integrity.
Ensure data quality, consistency, and accuracy by establishing and maintaining data governance processes for field data.
Be a key stakeholder and thought partner on the development, customization, and refinement of the set-up and implementation of the CRM tool and other field-related tools to ensure systems are aligned with the needs and deliverables of sales planning and operations.

Project Management SQL Business Intelligence Data Analysis Salesforce SAS EG Cross-functional Team Leadership Tableau Communication Skills Analytical Skills Microsoft Excel Agile methodologies RESTful APIs Presentation skills Compliance MS Office Account Management Teamwork Reporting Budgeting Strong communication skills Cross-functional collaboration Data entry Sales experience Market Research Data visualization Stakeholder management Strategic thinking Process improvement CRM Financial analysis Data modeling Data analytics Data management

Posted 16 days ago

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🔥 HYBRID - Principal Biostatistician (Clinical)- UK

Posted 18 days ago

📍 UK

🧭 Full-Time

🔍 Pharmaceutical, CRO

🏢 Company: ClinChoice

🔧 Requirements

MS or PhD in Statistics, Biostatistics or related field.
Strong oral and written communications skills, with ability to effectively communicate internally and with clients.
Demonstrated understanding and insight in statistics, drug development process and relevant FDA regulations.
Pharmaceutical, CRO, or related industry experience with clinical trials, including interaction with Regulatory Agencies, especially FDA.

💡 Responsibilities

Responsible for protocol development including study design, sample size calculation, randomization, and statistical analysis plan for assigned studies.
Provide statistical oversight to studies and assure adequate quality and consistency with project requirements.
Responsible for assuring that data for statistical analyses are complete, accurate and consistent.
Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions.
Responsible for validity of analysis and explore alternative analysis strategies as needed.
Demonstrates extensive understanding of statistical concepts and methodologies. Recognizes and corrects flaws in scientific reasoning and statistical interpretation.
Responsible for accuracy and consistency of statistical tables, figures, and data listings, accuracy of report text, and consistency between summary tables in the body of reports and the corresponding source tables and listings.
Responsible for statistical methods section for the reports. Identifies and corrects common flaws in interpretation of results, inconsistency in presentation or inference, adherence to the report guidelines, and assures project-wide consistency.
Effectively mentor peers with regards to statistical methodology and provide appropriate training to less experienced statisticians.
Manage activities of statisticians across projects by appropriately coordinating assignments and reviewing work so that projects are delivered on time with high quality.

Data Analysis SAS EG MS Office

Posted 18 days ago

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