Title: Epidemiologist, Vaccines (FSP Sponsor Dedicated) Job Description: Location: Remote, candidates must be based in the US Join IQVIA's Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you'll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA's global expertise. Overview: The RWE/Epi Scientist provides scientific support for RWE/Epidemiology studies by conducting literature reviews, data cleaning, code look-ups, and quality control activities. The role also contributes to scientific deliverables and supports operational coordination across studies to ensure high-quality execution. Organizational Relationships - Reports to RWE/Epi Scientist within the Integrated Evidence Generation (IEG) organization - Collaborates with Medical Evidence Development (MED) colleagues, CMO colleagues (e.g., DS&A, Regulatory, Safety), Clinicians, HV&E/GAV partners, and other cross-functional scientific partners to lead operational activities - Interfaces with other external vendors to drive operational oversight Responsibilities: Scientific Responsibilities: - Conducts literature reviews, scientific summaries, data cleaning, code look up, and QC tasks - Contributes to development of abstracts, manuscripts, posters, and scientific summaries - Support creation of analysis planning documents and table shells, working closely with programmers - Provide rapid responses to epidemiology and safety information requests - Perform any other relevant scientific tasks as needed to support study progress Execution Coordination & Oversight: - Provides operational oversight across multiple studies or therapeutic areas - Maintain study documentation, trackers, and operational tools to ensure consistent process application - Coordinate safety requests, data requests, timelines, and other cross-functional operational needs - Supports development and management of study trackers, safety requests, and other operational resources - Monitor progress of vendor deliverables and help identify risks or delays Requirements: Education/experience: - PhD plus 2 years of professional epidemiology experience, or Master's degree (MPH minimum) plus 5 years of professional epidemiology experience - Pharma epidemiology experience preferred - Experience in applied epidemiology or scientific operations - Experience working in a matrixed, cross-functional team environment - Experience supporting development of scientific deliverables Skills: - Strong quantitative and analytical skills required - Database and observational study experience required - Experience with AI is preferred What's in it for you? - Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare. - Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies. - Access IQVIA's global network who supports your growth This is your chance to make an impact, while building a career that matters. 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. 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, when annualized, is $110,500.00 - $276,100.00. 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.

Title: Research Scientist (ETS) | Temporary Location: GA, United States Job Description: Division School Of Nursing Campus Location US-GA-Atlanta Department SON: Academic Advancement Job Type Temporary Part-Time Job Number 166403 Job Category Laboratory Research Standard Hours 20 Hours Hourly Minimum USD $33.17/Hr. Hourly Midpoint USD $45.38/Hr. Overview Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description The Pak Research Group at Emory University is seeking a highly motivated Research Scientist for a temporary appointment focused on data analytics, scientific writing, and translational sleep research. This position is ideal for a recent PhD graduate or early-stage postdoctoral researcher seeking additional experience in high-impact publication development and NIH funded translational research. JOB DESCRIPTION: - Lead and support statistical analyses using large clinical and epidemiologic datasets. - Contribute substantially to manuscript preparation, scientific writing, and publication development. - Assist with preparation of abstracts, conference presentations, and grant-related materials. - Conduct literature reviews and support interpretation of findings. - Develops biochemical and cell-based assays, with the use of such assays to perform high throughput screening of small molecule libraries. - Develops and executes lower throughput biochemical or cell-based assays for structural optimization of hit compounds. - Hands-on bench scientist. Communicates with biomedical investigators and medicinal chemists. - May supervise staff. - Performs related responsibilities as required. MINIMUM QUALIFICATIONS: - Bachelor's degree and seven years of related experience or equivalent combination of experience, education and training. - Strong technical background. PREFERRED QUALIFICATIONS: - PhD in public health, nursing, neuroscience, epidemiology, biostatistics, data science, or related field - Recent PhD graduate or current/recent postdoctoral fellow - Demonstrated first-author publication record in peer-reviewed scientific journals - Experience with statistical programming and data analysis NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs. Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities).

Title: Senior Epidemiologist, Oncology (FSP Sponsor Dedicated) Location: Remote, candidates must be US-based Job Description: Location: Remote, candidates must be US-based Join IQVIA’s Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you’ll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA’s global expertise. Core Function Description: Design and conduct epidemiological studies to generate real-world evidence within time, budget, and quality standards, including but not limited to natural history of disease, population characterization, assessment of treatment patterns and unmet need, development of external comparators, benchmarking of clinical outcomes, comparative safety and effectiveness research, and post-authorization studies. Skill sets of the Epidemiologist role are similarly required, with the expectation of more experience, able to operate strategically under limited supervision, well versed in current Epidemiology research methods, deep understanding of how RWE fits within drug development, regulatory, medical, safety and other functions. Required Experience - Lead development of study protocols, analysis plans, and study reports to answer research questions of priority to RWE. - Lead, design, and manage epidemiological, biomarker and/or data science projects. - Lead, plan, design, and conduct analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries). - Lead the identification of fit-for-purpose data for the timely execution of the RWE strategy. - Constructed cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed. - Contribute to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, white papers. - Support the effective communication of study/analysis results to support internal and external decisions. - Coauthor abstracts and manuscripts for external dissemination of methodologic study results. - Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities. Technical Expertise: - Observational research methods (both Primary and Secondary), deep knowledge of biostatistics and analysis methods, understanding of regulatory processes. - Ability to design studies independently, (i.e., ability to translate research questions to create study design). Subject Matter Expertise: - Extensive experience conducting cancer epidemiology studies (solid tumor experience a plus), experience with commercial Oncology EMR databases. - Leverage RWE expertise to identify evidence gaps and develop options to address the evidence gaps in support of Clinical Development Programs in early phase (ph1/2). - Provide subject matter expertise and conduct analyses for descriptive and comparative research using RWD (examples include claims, EHR, registry data) for methodologic research questions. - Expert knowledge and extensive experience with cancer epi (solid tumor experience a plus), extensive experience with oncology EMR databases, extensive experience with conducting cancer epi studies. - Experience with Clinico-genomic multi-modal data (e.g., Tempus AI) or population biobank data (UK biobank) is a plus Minimum Qualifications - PhD in Epidemiology, Biostatistics, Psychometrics, or related field with a minimum of four (4) years of relevant post-doctoral experience, preferably in pharmaceutical industry, biotechnology, or consulting environment. Master’s degree in epidemiology, biostatistics, bioinformatics, or relevant scientific field, plus 7-9 years of experience in lieu of PhD may be acceptable. - Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development. - Extensive knowledge of secondary data sources and experience with secondary data analysis, including electronic medical record and/or medical claims databases. - A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred. - Demonstrated ability to function with an increasing level of autonomy and to develop productive cross- functional collaborations in a matrix environment. - Ability to manage priorities and performance targets. - Experience in leading drug development project for 2+ years for therapeutic area of assignment preferred. What’s in it for you? - Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare. - Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies. - Access IQVIA’s global network who supports your growth. 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. 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, when annualized, is $110,500.00 - $276,100.00. 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.

Role Description We are seeking a Computer Science researcher to work with the Energy Systems Analysis Group in the Andlinger Center for Energy and the Environment to convert a thesis study into a submission-ready journal article for a leading energy or interdisciplinary journal. The role is designed for the opportunity to translate a strong thesis into a high-impact academic publication. The thesis develops CADENCE (Capital-Aware Deployment of Energy Networks with Coordinated Estimation), an extension of Princeton’s Net-Zero X framework. It introduces a computational approach—using a Directed Acyclic Graph and Critical Path Method—to incorporate real-world deployment frictions, including: - Interdependencies - Capital discipline - Stochastic timelines - Project abandonment The results highlight how coordination and sequencing constraints can materially limit clean energy deployment. Working closely with Senior Research Scientist Chris Greig, the researcher will: - Refine the thesis into a concise and compelling journal manuscript. - Restructure the narrative. - Sharpen the statement of novelty and contribution. - Tighten the methodological exposition. - Improve the presentation of results and figures. - Undertake limited additional analysis to address robustness and anticipated reviewer questions. This is a short-term, intensive collaboration with clear co-authorship and submission goals, suited to a candidate interested in research, publication, or graduate study. The position may be remote. Qualifications - Strong related research background. - Enjoy working in teams. Requirements - Work pays $21.00/hour. - Entry Level experience. Benefits - Comprehensive benefit program to eligible employees.