

Net2Source Inc.
Real World Evidence Manager
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Real World Evidence Manager, fully remote, with a contract length of 12+ months. Pay rate is $50.00 - $54.00/hr. Key skills include proficiency in R, Python, or SAS, and experience with real-world data in healthcare.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
432
-
🗓️ - Date
June 19, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#RDS (Amazon Relational Database Service) #Programming #ML (Machine Learning) #Statistics #Data Science #Monitoring #Python #R #Visualization #Databases #Datasets #AI (Artificial Intelligence) #Data Governance #Agile #SAS #Data Privacy #Strategy
Role description
Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants.
Company: One of Our Clients
Job Description
:Job Title: Senior Manager – Real-World Evidence (RWE), Immunolog
yLocations: Spring House, PA, 19477 USA (Fully Remote
)Duration: 12+ months (Extendable
)Pay Rate: $50.00 - 54.00/hr on W
2
Position Summ
aryThe 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 geographi
es.
Key Responsibili
ties
• Conduct high-impact research using large-scale observational databases and clinical trial data to generate real-world insig
hts.
• Design and execute studies in collaboration with global cross-functional teams, including clinical, regulatory, epidemiology, and data scie
nce.
• Develop protocols, statistical analysis plans, and programming specifications aligned with international standa
rds.
• Deliver high-quality outputs including analysis-ready datasets, visualizations, and manuscripts for peer-reviewed publicat
ion.
• Present findings to internal and external stakeholders, including global scientific and regulatory audien
ces.
• Stay current with global trends in RWE methodologies, data privacy regulations, and health technology assessm
ent.
Required Qualifica
tions
• Masters in Epidemiology, Biostatistics, Data Science, Public Health, Biomedical Informatics, or a related quantitative discipline. Would prefer a PhD with qualificat
ions.
• Experience working with real-world data (e.g., electronic health records, claims, registries) from diverse healthcare sys
tems.
• Proficiency in R, Python, or SAS; familiarity with OMOP CDM and OHDSI tools is highly desir
able.
• Strong written and verbal communication skills in English; additional languages are a
plus.
• Demonstrated ability to work effectively in multicultural, multidisciplinary t
eams.
Preferred Qualific
ations
• Experience working with data sources from low- and middle-income countries (LMICs), including national health surveys, regional registries, or community-based st
udies.
• Familiarity with LMIC health systems, including data infrastructure, care delivery models, and public health prior
ities.
• Knowledge of global health policies, including WHO guidelines, international data governance frameworks, and health equity initia
tives.
• Experience with digital health technologies, such as mobile health platforms, remote monitoring tools, or AI-enabled diagno
stics.
• 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 interac
tions.
• Familiarity with machine learning, causal inference, and advanced statistical mod
eling.
• Prior publications in peer-reviewed journals and presentations at global confer
ences.
Awards and Ac
colades:America's Most Honored Businesses (
Top 10%)Awarded by USPAAC for the Fastest Growing Business i
n the US12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 201
9, 2020)Fastest 50 by NJ Biz (2020, 201
9, 2020)INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to th
is list)Top 100 by Dallas Business Journal (2020 a
nd 2019)Proven Supplier of the Year by Workforce Logiq (2020 a
nd 2019)2019 Spirit of Alliance Award b
y Agile12018 Best of the Best Platinum Award b
y Agile12018 TechServe Alliance Excellence Award
s Winner2017 Best of the Best Gold Award by Agile1(Act
1 Group)
Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants.
Company: One of Our Clients
Job Description
:Job Title: Senior Manager – Real-World Evidence (RWE), Immunolog
yLocations: Spring House, PA, 19477 USA (Fully Remote
)Duration: 12+ months (Extendable
)Pay Rate: $50.00 - 54.00/hr on W
2
Position Summ
aryThe 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 geographi
es.
Key Responsibili
ties
• Conduct high-impact research using large-scale observational databases and clinical trial data to generate real-world insig
hts.
• Design and execute studies in collaboration with global cross-functional teams, including clinical, regulatory, epidemiology, and data scie
nce.
• Develop protocols, statistical analysis plans, and programming specifications aligned with international standa
rds.
• Deliver high-quality outputs including analysis-ready datasets, visualizations, and manuscripts for peer-reviewed publicat
ion.
• Present findings to internal and external stakeholders, including global scientific and regulatory audien
ces.
• Stay current with global trends in RWE methodologies, data privacy regulations, and health technology assessm
ent.
Required Qualifica
tions
• Masters in Epidemiology, Biostatistics, Data Science, Public Health, Biomedical Informatics, or a related quantitative discipline. Would prefer a PhD with qualificat
ions.
• Experience working with real-world data (e.g., electronic health records, claims, registries) from diverse healthcare sys
tems.
• Proficiency in R, Python, or SAS; familiarity with OMOP CDM and OHDSI tools is highly desir
able.
• Strong written and verbal communication skills in English; additional languages are a
plus.
• Demonstrated ability to work effectively in multicultural, multidisciplinary t
eams.
Preferred Qualific
ations
• Experience working with data sources from low- and middle-income countries (LMICs), including national health surveys, regional registries, or community-based st
udies.
• Familiarity with LMIC health systems, including data infrastructure, care delivery models, and public health prior
ities.
• Knowledge of global health policies, including WHO guidelines, international data governance frameworks, and health equity initia
tives.
• Experience with digital health technologies, such as mobile health platforms, remote monitoring tools, or AI-enabled diagno
stics.
• 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 interac
tions.
• Familiarity with machine learning, causal inference, and advanced statistical mod
eling.
• Prior publications in peer-reviewed journals and presentations at global confer
ences.
Awards and Ac
colades:America's Most Honored Businesses (
Top 10%)Awarded by USPAAC for the Fastest Growing Business i
n the US12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 201
9, 2020)Fastest 50 by NJ Biz (2020, 201
9, 2020)INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to th
is list)Top 100 by Dallas Business Journal (2020 a
nd 2019)Proven Supplier of the Year by Workforce Logiq (2020 a
nd 2019)2019 Spirit of Alliance Award b
y Agile12018 Best of the Best Platinum Award b
y Agile12018 TechServe Alliance Excellence Award
s Winner2017 Best of the Best Gold Award by Agile1(Act
1 Group)






