Job Closed
This listing is no longer active.
Accelerate innovation for a healthier world.
Principal Statistical Programmer
Location
United States
Posted
86 days ago
Salary
$161K - $250K / year
Seniority
Lead
Job Description
Principal Statistical Programmer
IQVIA
Principal Statistical Programmer, IQVIA RDS Inc. Durham, NC. May telecommute (work from home) from anywhere in U.S. and report to Durham, North Carolina location. Serve as subject matter expert on all aspects of SAS programming. Utilize understanding of pharmaceutical industry standards and trends and proactively plan, develop, and implement. Lead programming activities for multiple clinical studies across various phases (I-IV), ensuring timely and high-quality deliverables. Develop, validate, and maintain CDISC-compliant SDTM and ADaM datasets. Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports and regulatory submissions. Develop consistent practices of clinical and statistical review of output and mentor programming staff. Check for consistency across therapeutic areas. Identify, plan, and oversee the implementation and success measures of all process improvement initiatives. Provide programming support for PK/PD analyses, including data integration and visualization. Ensure adherence to CDISC standards, company SOPs, and regulatory guidelines (e.g., FDA, EMA). Regularly communicate with the sponsor on the progress of programming aspects of the project and proactively anticipate issues and work with the sponsor on resolution of the problems. Collaborate with Biostatisticians, Data Managers, and Clinical Teams to define programming requirements and specifications. Provide input and/or write the programming specifications. Participate in cross-functional initiatives to improve programming processes and tools. Maintain expertise in the use of SAS Macros and determine macro development priorities. Perform all responsibilities associated with the Senior Programmer role. Assist all the Sr. Programmers and Programmers in their day-to-day activities. Act as an escalation point for Sr. Programmer and Programmer. Mentor junior programmers and provide technical guidance and code reviews. Other responsibilities as defined on ad-hoc basis by senior management. M-F, 40 hrs per week (EST). Salary Range: $161,194 - $250,500/year. Requires at least a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field or foreign equivalent. Requires five (5) years of experience in statistical programming in the pharmaceutical or medical devices industries to include 5 years: implementing all SOPs, Guidelines and Work Instructions; interpreting, modifying, and adapting company standards, project specifications, tasks, and goals; Pharmaceutical clinical development including understanding of safety deliverables and efficacy analysis supporting regulatory submissions; SAS, proc report, exposure to macros, current CDISC data structures, standardization methodology, and debug SAS programs; SAS Macro programming, SAS SQL, XML, RTF, and PDF; and four (4) years: Define.xml, Pinnacle 21, aDRG, and sDRG. Apply: Ref# 118141. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role is US $161,194 - $250,500 annually. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
On-Call Senior Education and Child Welfare Data Management and Visualization Specialist
ICFWe are not a typical consulting firm and our people are not typical consultants.
ICF seeks an on-call Senior Education and Child Welfare Data Management and Visualization Specialist to work within our Child and Family Well-Being (CFWB) Line of Business. This position specializes in Power BI and Tableau, connecting varied data sets to inform programmatic insights, data storytelling, and using data to help our clients understand progress towards achieving their goals. The Senior Education and Child Welfare Data Management and Visualization Specialist will apply academic knowledge and work experience to support education and child welfare evaluation and continuous quality improvement (CQI) on research and technical assistance projects in a state and Key Responsibilities As a Senior Education and Child Welfare Data Management and Visualization Specialist, you will lead the collection, management, and analysis of data to inform program insights and improve data accessibility for users. In this role, you will develop dashboards, reports, infographics, and data‑driven stories; collect data through surveys, focus groups, and interviews; and carry out essential administrative data‑management tasks. You will also help build the skills of data analysts by providing guidance on Power BI, data visualization best practices, and approaches for generating meaningful insights aligned with project needs. Success in this position requires the ability to manage multiple tasks in a fast‑paced environment, apply strong research and evaluation methodologies, and maintain effective, professional relationships with clients and colleagues. You will also contribute to proposal development by applying sound analytic judgment and clear communication. Areas of responsibility may include: - Supporting, designing, and building interactive and static dashboards, reports, and data visualizations using Power BI, Tableau, and/or Excel— to support program evaluation and continuous quality improvement. - Supporting quality assurance tasks, building data infrastructure, data management and analysis, and data cleaning and quality control processes. - Designing data-driven storytelling using data visualization techniques and best practices. - Maintaining and rapidly producing regular reporting deliverables and user-friendly reports/presentations and infographics for a variety of audiences. - Partnering with teams to define key performance indicators, business intelligence, and data reporting requirements. - Supporting and mentoring data staff across multiple projects in building skills in Power BI, Tableau, and other data management and visualization tools. - Conducting basic descriptive analyses of data to generate reports and data visuals of program activities, outputs/deliverables, and outcomes. - Conducting occasional observations or visits to locations nationwide. Basic Qualifications - Bachelor's degree in data science, education, sociology, social work, psychology, justice, or other social science related subject. - 4+ years of experience conducting qualitative and/or quantitative data collection or management, research analysis, or evaluation. Preferred Skills/Experience - Master’s degree in data science, education, sociology, social work, psychology, justice, or other social science related subject. - Program certificate, coursework, or training in data visualization or data storytelling. - Strong organizational skills with proven ability to manage multiple tasks and maintain attention to detail. - Experience working independently to develop innovative solutions to client data interests and challenges. - Foundational knowledge of SQL for querying and validating data. - Experience sharing knowledge and building data management or visualization skills of colleagues. - Prior professional work experience in a consulting environment. - Demonstrated experience in using software such as Power BI, Tableau, and Power Query is required. - Demonstrated experience in data visualization and data storytelling techniques and principles is required. - Demonstrated experience in producing high-quality, professional visualizations, presentations, products, and/or resources is required. Professional Skills - Demonstrated ability to take ownership of project tasks and follow through on commitments. - Strong interest and/or experience in areas such as early education; K–12 and higher‑education research and evaluation; refugee, immigrant, and asylee services; child welfare; capacity building; technical assistance; mental and behavioral health; implementation science; and continuous quality improvement (CQI). - Proven ability to prioritize and manage multiple activities in a fast‑paced, evolving environment. - Effective team builder and team player with the ability to navigate competing priorities, perspectives, and stakeholder needs. - Strong analytical, problem‑solving, and decision‑making skills. - Excellent verbal, written, and interpersonal communication skills, including experience developing and delivering presentations and technical writing. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $61,232.00 - $104,094.00 Nationwide Remote Office (US99)
Recycling Analytics Manager
The Recycling PartnershipSolving recycling's toughest challenges, together.
Role Description The Recycling Analytics Manager supports TRP’s efforts to evaluate the performance of the U.S. residential recycling system and measure the impact of its projects and initiatives. The role manages systems that collect and organize project metrics, ensures data accuracy through quality control and documentation, and collaborates with staff, grantees, and partners involved in project implementation. The manager analyzes and interprets project and study data using standardized methodologies, helps design and implement measurement plans with internal teams and external consultants, and contributes to building a consistent, results-focused framework that supports data-driven decision-making and advances TRP’s long-term mission and impact. Qualifications - Bachelor’s degree in an analytical field such as Engineering, Economics, Computer Science, Complex Systems, Data Science, Environmental Studies, or a related discipline; or equivalent technical education or professional experience - 2+ years of experience in data analysis, data cleansing, and performance measurement - 2+ years of experience in data visualization and reporting - Demonstrated experience organizing, analyzing, and interpreting complex datasets to identify trends, insights, and opportunities - Strong data exploration, analytical, and problem-solving skills - Experience developing standardized metrics, methodologies, and reporting tools to ensure consistency and data quality - Understanding of data and analytics, research methods, basic statistical analysis, and U.S. residential recycling material flow - Knowledge of how local governments manage recycling programs, including relationships between municipalities and Materials Recovery Facilities (MRFs) - Knowledge of recycling collection and processing system methodologies, metrics, and system types - Strong written and verbal communication skills, with the ability to clearly document findings and present insights to diverse audiences - Proven ability to collaborate effectively with cross-functional teams, consultants, and external partners - Demonstrated curiosity about data analysis and a desire to continuously learn, grow, and adapt in a changing environment Requirements - Support the development and use of standardized report templates and internal tools for collecting and analyzing data. - Respond to data analysis requests and assist with data gathering efforts across Partnership programs. - Document findings from analytical activities and ensure accurate, timely entry of results into internal databases. - Support Data and Analytics Unit efforts to develop effective tools and models, and to gather and document attributes of the national recycling system. - Conduct research as needed to collect relevant recycling system data. - Engage with the Materials and Participation and Capture Impact Units during project scoping to support the estimation and documentation of projected outcomes in AirTable. - Collaborate with the Director, Recycling Analytics to review study designs, grant proposals, and individual projects as needed, providing feedback on measurement plans, methodology, and opportunities for improvement. - Support the implementation of measurement plans in coordination with project managers, grantees, consultants, and facilities, ensuring data quality, methodological rigor, and adherence to project objectives. - Assist in compiling and reviewing project and study results to ensure outcomes are clear, accessible, and available to inform organizational priorities and future work. - Support the planning, management, and execution of a variety of measurement activities, including capture studies, behavior assessments, and other measurement activities based on organizational priorities. - Participate in measurement activities, such as waste/materials sorts and other data collection exercises, to build a deeper understanding of effective measurement practices and methodologies. - Coordinate with the Demand and Materials Units to support materials-specific measurement efforts and apply insights on materials generation and capture to Materials Action Plans. - Assist in identifying and applying measurement best practices and methodologies across measurement activities. - Support the evaluation of projects and initiatives, tracking performance against organizational key performance indicators (KPIs). - Engage directly with systems used by The Partnership, including AirTable, to gather and track project metrics, ensure projects are accurately recorded, monitor data quality, and support organizational use of this platform. - Collaborate with the Data and Analytics Unit to produce and maintain metrics dashboards and reporting tools that document organizational performance and support data-driven decision making. - Assist in producing documents, reports, and other materials, such as State Tear Sheets, that compile project and initiatives metrics, as well as recycling system data, to demonstrate Recycling Partnership understanding and impact. Benefits - Health Insurance Options under CareFirst Blue Choice (with 75% employer paid premiums) - Dental & Vision Insurance - Employer paid Life, STD, and LTD Insurance - 11 Paid Holidays - 4 Weeks of Mandatory Vacation per year (office closures) - Flexible PTO - 12 Weeks Paid Parental Leave - 403(b) Retirement Plan with Company Match - 529 Education Savings Plan - Cell Phone & Internet Stipend - $100/month - Annual remote work stipend - $1000 for your first year, $500 each year after supporting your home office setup - Flexible Schedules - Career Growth - Learning & Development Opportunities - Partnership Days - And so much more…
Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto! Proof of work The team At Kraken, data is both a strategic asset and the foundation of trust with our users, partners, and stakeholders and the data team is the backbone of decision-making. We’re looking for a Data Analyst, Risk and Operational Performance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you’ll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Core Services team. Additionally, you’ll also contribute to experimentation infrastructure and ML initiatives, including launching and evaluating A/B experiments. You will be, quite literally and quantitatively, defining success on a daily basis for our Core Services and other teams across the organization. Join us and be part of a team where data is not just an asset but our language, our tool, and our future! The opportunity - Act as a trusted business advisor to the Core Service team, proactively identifying trends and driving efficiency improvements - Own the design of dashboards, metrics, and reports, turning data into actionable insights for the fraud, funding, risk and support experience teams - Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics and ML models - Lead cross-functional projects with analysts, scientists, engineers, and product teams to build data pipelines using Airflow, Python, and DBT - Develop and automate reporting of key performance indicators across core services teams - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action. - Develop high-quality code for pipelines and dashboards, incorporating software engineering best practices Skills you should HODL - 5+ years of experience in data analysis and data management within the Fintech industry gained in a fast-paced, high-growth environment - Experience working with fraud, funding, finance and customer support teams to analyze and optimize operational performance across the business systems - This role requires expert SQL skills and hands-on experience in Python - Hands-on experience using dbt (data build tool) to model and organize data for reporting and decision-making - Experience setting up and managing data pipelines, with a strong understanding of data workflow orchestration - Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - You believe wholeheartedly in the values outlined in Kraken’s Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering or economics. - Based in Canada and the US and fluent in English. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice
Role Description This position is responsible for overseeing charge capture accuracy, billing reconciliation, payment integrity, and vendor performance across PMG’s revenue cycle within our hospital partnerships. Through advanced data modeling and variance analysis, this position transforms billing and reimbursement data into actionable insights that drive financial performance and reduce revenue leakage. This position partners closely with internal operations and PMG’s third-party billing company to ensure services rendered are billed, adjudicated, and reimbursed accurately while proactively identifying trends, variances, and process improvement opportunities through data analysis. Qualifications - 3+ years of experience in healthcare data analysis - Demonstrated experience working with large data sets and performing structured data analysis - Advanced Excel skills (pivot tables, XLOOKUP/VLOOKUP, reconciliation logic, data modeling, financial analysis) - Strong analytical, investigative, and problem-solving skills - Ability to translate complex data findings into actionable operational recommendations for both operational and financial stakeholders Requirements - Experience working with a third-party billing company - Experience in professional billing, hospital-based services, or specialty practices - Familiarity with CPT, modifiers, and payer contract language - Familiarity with EHR systems is preferred (Epic, Cerner, Meditech, etc.) - Experience with BI tools (Power BI, Tableau) or SQL - Strong understanding of the claim lifecycle, EOBs/ERAs, and payer adjudication - Background in payment integrity, audit, or compliance analytics Benefits - Dental insurance - Health insurance - Vision insurance - Life insurance - Disability insurance - Paid time off - Flexible schedule - 401(k) matching



