Scientist 3 - Clinical Research

eTeam Inc.

Spring House, PA(remote)

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JOB DETAILS

SALARY

$58–$59 Per Hour

SKILLS

Analysis Skills, Artificial Intelligence (AI), Biomedicine, Biostatistics, Biotech and Pharmaceutical, Clinical Data, Clinical Practices/Protocols, Clinical Research, Clinical Trial, Communication Skills, Conferences, Cross-Functional, Data Science, Data Sets, Disease Prevention and Control, Drug Development, English Language, Epidemiology, Health Economics, Health Informatics, Health Science, Healthcare, Healthcare Providers, Immunology, International Health, Machine Learning, Medical Record System, Medicine, Multicultural, Presentation/Verbal Skills, Privacy Regulations, Protocol Analysis, Public Health, Publications, Python Programming/Scripting Language, R Programming Language, RMON, Regulations, Regulatory Submissions, Statistical Analysis System (SAS), Statistical Modeling, Statistical Programming Languages, Technology Analysis, Writing Skills

LOCATION

Spring House, PA

POSTED

6 days ago

Job Title: Senior Manager – Real-World Evidence (RWE), Immunology
Location: Spring House, PA (Fully Remote)
Duration: 12 Months

About
At client, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Position Summary
The Real-World Evidence (RWE) team within client is seeking a highly motivated Postdoctoral Scientist to join our Data Science & Digital Health (DSDH) Immunology group. This global role offers a unique opportunity to apply advanced analytics to real-world data (RWD) and contribute to the generation of evidence that informs clinical development, regulatory strategy, and healthcare decision-making across diverse populations and geographies.

Key Responsibilities
• Conduct high-impact research using large-scale observational databases and clinical trial data to generate real-world insights.
• Design and execute studies in collaboration with global cross-functional teams, including clinical, regulatory, epidemiology, and data science.
• Develop protocols, statistical analysis plans, and programming specifications aligned with international standards.
• Deliver high-quality outputs including analysis-ready datasets, visualizations, and manuscripts for peer-reviewed publication.
• Present findings to internal and external stakeholders, including global scientific and regulatory audiences.
• Stay current with global trends in RWE methodologies, data privacy regulations, and health technology assessment.

Required Qualifications
• Masters in Epidemiology, Biostatistics, Data Science, Public Health, Biomedical Informatics, or a related quantitative discipline. Would prefer a PhD with qualifications.
• Experience working with real-world data (e.g., electronic health records, claims, registries) from diverse healthcare systems.
• Proficiency in R, Python, or SAS; familiarity with OMOP CDM and OHDSI tools is highly desirable.
• Strong written and verbal communication skills in English; additional languages are a plus.
• Demonstrated ability to work effectively in multicultural, multidisciplinary teams.
• Immunology experience mandatory
• Experience in Low-Middle income countries

Preferred Qualifications
• Experience working with data sources from low- and middle-income countries (LMICs), including national health surveys, regional registries, or community-based studies.
• Familiarity with LMIC health systems, including data infrastructure, care delivery models, and public health priorities.
• Knowledge of global health policies, including WHO guidelines, international data governance frameworks, and health equity initiatives.
• Experience with digital health technologies, such as mobile health platforms, remote monitoring tools, or AI-enabled diagnostics.
• Prior collaboration with pharmaceutical companies, including experience in clinical development, regulatory strategy, or health economics and outcomes research (HEOR).
• Experience with international regulatory submissions or health authority interactions.
• Familiarity with machine learning, causal inference, and advanced statistical modeling.
• Prior publications in peer-reviewed journals and presentations at global conferences.

About the Company

eTeam Inc.

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.

COMPANY SIZE

100 to 499 employees

INDUSTRY

Other/Not Classified

FOUNDED

1998

WEBSITE