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Phd In Econometrics Jobs in Indiana (NOW HIRING)

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a ... Master's degree or PhD in a quantitative or technical discipline What We Offer: Guidehouse offers a ...

About the Role The Medical Outcomes Liaison (MOL) provides clinical insights, Health Economics and ... DO, PhD); nondoctoral clinicians considered with relevant expertise. * Strong background in ...

About the Role The Medical Outcomes Liaison (MOL) provides clinical insights, Health Economics and ... DO, PhD); non-doctoral clinicians considered with relevant expertise. * Strong background in ...

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Phd In Econometrics information

What are the key skills and qualifications needed to thrive as a PhD in Econometrics, and why are they important?

To thrive as a PhD in Econometrics, you need advanced expertise in statistical theory, econometric modeling, and data analysis, typically supported by a doctoral degree in economics or a related field. Proficiency in statistical software such as Stata, R, Python, or SAS, as well as experience with large datasets and econometric methodologies, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you convey complex findings to diverse audiences. These skills are crucial for producing rigorous research, informing policy, and contributing valuable insights in academic, governmental, or industry settings.

What is a PhD in Econometrics?

A PhD in Econometrics is an advanced academic degree focused on the application of statistical and mathematical methods to economic data. It prepares students to conduct original research, develop new econometric models, and analyze complex economic problems using quantitative techniques. Graduates often pursue careers in academia, research institutions, government agencies, or the private sector, where advanced data analysis and economic modeling skills are in high demand.

What are some common career paths for someone with a PhD in Econometrics?

With a PhD in Econometrics, graduates often pursue careers in academia as professors or researchers, but there are also numerous opportunities in the private and public sectors. Many work as quantitative analysts, data scientists, or policy advisors in financial institutions, government agencies, international organizations, or consulting firms. The advanced analytical and statistical skills developed during the PhD are highly valued in roles that involve complex data analysis, economic modeling, and policy evaluation. Collaboration with interdisciplinary teams, including economists, data engineers, and policymakers, is common, providing a dynamic work environment and pathways for professional growth.
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Principal Statistical Programmer FSP - RWD/EPI

Principal Statistical Programmer FSP - RWD/EPI

Cytel

Indianapolis, IN โ€ข On-site

Other

Posted 5 days ago


Job description

You will contribute by:

  • Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities

  • Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms

  • Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data

  • Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)

  • The position will partner with Epidemiologists to manage relationships with internal and external stakeholders

  • Being able to prioritize and manage work across multiple projects and stakeholders

  • Providing strong communication to ensure successful and timely project delivery

  • Solving technical problems with experience and expertise

Summary of Key Responsibilities:

  • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)

  • Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols

  • Create analytical databases from data extracts to facilitate conduct of data analyses

  • Conduct analyses consistent with methods set forth in study protocols and analysis plans

  • Produce tables and figures for discussions with other investigators, clients, and for study reports

  • Present results internally and to clients

  • Assist in the preparation of study reports and other deliverables

  • May have supervisory responsibilities in the future

What weโ€™re looking for:

  • Masterโ€™s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution

  • Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required

  • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamartยฎ and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable

  • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts

  • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting

  • Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion

  • Confident and competent when interacting with internal and external stakeholders

  • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence

Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.