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Internship Real World Evidence Rwe Jobs in Texas

Internship Opportunity The Fay School is currently seeking motivated and professional undergraduate or graduate students who are interested in gaining hands-on, real-world experience through an ...

... to RWE technicians on rescue response and first aid techniques in multi-brand wind turbines as well as solar farms * Independently manages classroom presentations and leads real-world training ...

... to RWE technicians on rescue response and first aid techniques in multi-brand wind turbines as well as solar farms * Independently manages classroom presentations and leads real-world training ...

Internship / Practicum

San Antonio, TX · On-site

$13.50 - $17.50/hr

Our internships provide meaningful, hands-on experience in a mission-driven nonprofit environment ... Real-world experience in a recovery-oriented system of care * Exposure to nonprofit behavioral ...

Oversee proactive identification and assessment of safety signals from clinical trials, post-marketing data, and real-world evidence * Develop and implement risk management strategies, including ...

Marketing Intern

Austin, TX · On-site

$14.75 - $19.75/hr

Laptop provided for the duration of the internship * Real-world experience building brand strategy at a growing national company * A collaborative, supportive team that goes the extra mile Academic ...

Our internship program provides real-world, hands-on mental health training to some of the best and ... in evidence-based practices to treat clients with these issues. For more information about our ...

Marketing Intern

Austin, TX · On-site

$14.75 - $19.75/hr

Laptop provided for the duration of the internship * Real-world experience building brand strategy at a growing national company * A collaborative, supportive team that goes the extra mile Academic ...

Showing results 41-60

Internship Real World Evidence Rwe information

What is an internship in real world evidence (RWE)?

An Internship in Real World Evidence (RWE) offers students or recent graduates hands-on experience in collecting and analyzing data from real-world sources, such as electronic health records, insurance claims, and patient registries. RWE is used in the pharmaceutical and healthcare industries to evaluate the effectiveness, safety, and value of medical treatments outside controlled clinical trials. Interns may support research studies, help interpret data, and contribute to reports that inform decision-making for healthcare providers and regulators. This type of internship is ideal for those interested in data analysis, public health, and evidence-based medicine.

What types of projects do interns typically work on in a real world evidence (RWE) internship?

As an RWE intern, you can expect to contribute to projects involving the collection, analysis, and interpretation of real-world healthcare data, such as electronic health records, claims data, or patient registries. Common responsibilities include supporting data cleaning, conducting literature reviews, assisting with statistical analyses, and preparing reports or presentations for internal teams. You will often collaborate with cross-functional teams including epidemiologists, data scientists, and medical affairs professionals, which provides excellent exposure to various aspects of the pharmaceutical or healthcare industry.

What are the key skills and qualifications needed to thrive as an internship real world evidence (RWE) professional?

To thrive as an Internship Real World Evidence (RWE) professional, you need a solid background in life sciences, epidemiology, or statistics, often supported by progress toward a relevant degree. Familiarity with data analysis tools like SAS, R, or Python, and experience with healthcare databases or real-world data systems, are typically required. Strong analytical thinking, attention to detail, and collaborative communication skills help interns excel in cross-functional teams and data-driven projects. These competencies are crucial for generating robust, actionable insights from real-world data to inform healthcare decisions and policy.

What is the difference between Internship Real World Evidence Rwe vs Data Analyst?

AspectInternship Real World Evidence RweData Analyst
Required CredentialsTypically pursuing or recent graduate in healthcare, life sciences, or related fieldsBachelor's degree in statistics, mathematics, computer science, or related fields
Work EnvironmentHealthcare or pharmaceutical companies, research organizations, or academic institutionsVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed in pharmaceutical, biotech, and healthcare sectors for evidence generationWidely used across multiple industries for data analysis and reporting

While both roles involve working with data, an Internship Real World Evidence Rwe focuses on analyzing real-world healthcare data to generate evidence for medical decisions, often within healthcare or pharma settings. A Data Analyst has a broader scope, working with various data types across industries to interpret and visualize data for business insights.

What are the most commonly searched types of Real World Evidence Rwe jobs in Texas?

The most popular types of Real World Evidence Rwe jobs in Texas are:

What are popular job titles related to Internship Real World Evidence Rwe jobs in Texas?

For Internship Real World Evidence Rwe jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Internship Real World Evidence Rwe jobs?

Cities in Texas with the most Internship Real World Evidence Rwe job openings:

Infographic showing various Internship Real World Evidence Rwe job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Associate or Full Professor - Clinical Informatics, Learning Health Systems, and Health Data Science

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 12 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 888 rated healthcare providers


Job description

Description
The Peter O'Donnell Jr. School of Public Health (OSPH) at UT Southwestern Medical Center invites applications and nominations for tenure-accruing/tenure-track faculty positions at the Associate Professor or Professor level for investigators with expertise in clinical informatics, learning health systems, health data science, clinical decision support, implementation science, real-world evidence generation, AI-enabled healthcare innovation, or related disciplines.
This is an exceptional opportunity to build and lead a nationally visible research program at the intersection of clinical care, data science, digital innovation, and health system transformation. Successful candidates will have the opportunity to develop, implement, and evaluate informatics interventions in partnership with one of the nation's leading academic health systems and its affiliated care delivery organizations.
The successful candidate will hold a primary appointment in the Department of Health Data Science and Biostatistics within the O'Donnell School of Public Health and will play a leadership role within the Clinical Informatics Center (CIC), a newly established enterprise-wide center focused on advancing learning health systems, clinical decision support, AI implementation, digital health innovation, and data-driven care improvement.
The position offers a unique environment in which research, operations, and education are intentionally aligned. Faculty benefit from direct access to operational informatics teams, enterprise data resources, Epic-based clinical decision support infrastructure, CTSA-supported research programs, and partnerships spanning UT Southwestern, Parkland Health, Children's Health, Texas Health Resources, and the North Texas VA. These partnerships provide unparalleled opportunities to generate evidence from real-world healthcare delivery and rapidly translate discoveries into practice.
Candidates may pursue a broad range of scholarly interests, including but not limited to:
  • Learning Health Systems
  • Clinical decision support and workflow-integrated interventions
  • AI and machine learning in healthcare
  • Knowledge representation, biomedical ontologies, and computable biomedical knowledge
  • Pharmacovigilance, medication safety, and real-world evidence
  • Health data standards, interoperability, and FHIR-enabled innovation
  • Predictive analytics and clinical risk modeling
  • Digital health and healthcare transformation
  • Evaluation of health system interventions and implementation strategies

The successful candidate will be expected to:
  • Develop and sustain a nationally recognized, externally funded research program
  • Provide scientific leadership for learning health system and clinical informatics initiatives
  • Collaborate with operational leaders to evaluate and improve digital interventions deployed in clinical practice
  • Foster interdisciplinary collaborations across public health, medicine, nursing, pharmacy, and health system operations
  • Mentor graduate students, fellows, and junior faculty
  • Contribute to the continued growth of educational programs in health informatics, health data science, and learning health systems
  • Participate in strategic initiatives that strengthen UT Southwestern's national leadership in clinical informatics and health system innovation

This position is particularly well suited for investigators who are motivated by the opportunity to conduct rigorous, high-impact research embedded within healthcare delivery systems and who seek to build programs that bridge discovery, implementation, and measurable improvements in patient care.
Qualifications
  • PhD, ScD, DrPH, or equivalent research doctoral degree in health informatics or health data science
  • Demonstrated ability to conduct scholarly research and capacity to obtain peer-reviewed funding
  • Ability to mentor pre- and post-doctoral students and capacity for teaching excellence at the graduate level
  • Ability to collaborate closely and effectively with other members of multidisciplinary research teams
  • Desire to partner with healthcare systems, public health agencies, and/or community organizations

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