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Data Science Managers

Piscataway, NJ · On-site

... international collaborations. The visionary appointee will be expected to direct the RCSB PDB and ... and data science professionals, by promoting and exemplifying a culture of diversity, equity ...

ManTech International

Data Scientist

Arlington, VA · On-site

MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area. As ...

ManTech International

Data Scientist

Arlington, VA · On-site

MANTECH International Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area. As ...

AIToolboard

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot ... science. #J-18808-Ljbffr

SynergisticIT

Entry Level Data Scientist

Charleston, SC · On-site

... * Entry-level software programmers * Java Full stack developers * Python/Java developers * Data ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Experience Required: * Experience with data engineering, data management, or scientific data ... Support international data harmonization and interoperability efforts. At CSS, we are committed to ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Experience Required: * Experience with data engineering, data management, or scientific data ... Support international data harmonization and interoperability efforts. At CSS, we are committed to ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Experience with data engineering, data management, or scientific data systems.Proficiency in SQL ... Support international data harmonization and interoperability efforts.At CSS, we are committed to ...

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How much do entry level international data science jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for entry level international data science in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What are the most commonly searched types of International Data Science jobs?

The most popular types of International Data Science jobs are:

Entry Level International Data Science jobs near you

RWE Scientist / Immunology Studies / Remote Work

Spring House, PA • On-site

Pioneer Data
See more jobs at Pioneer Dataexternal

$56K - $56K/yr

Contractor

Re-posted 22 days ago

Job description

Position Details:
Our client, a world-leading Pharmaceutical Company in Spring House, PA is currently looking for an RWE Scientist to join their expanding team.  
 
Job Title: RWE Scientist / Immunology Studies / Remote Work
Duration: 12 months contract, extendable up to 24 Months
Location: Spring House, PA
 
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan  
 
Job Description:
Senior Manager – Real-World Evidence (RWE), Immunology
Location: Spring House, PA, USA (Fully Remote)
 
About Client Innovative Medicine
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 Johnson & Johnson Innovative Medicine 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.