Now Hiring: Data Analyst – Real-World Data & Epidemiology | JP34859_35377
Contract:
1 Year to Start
Location:
100% Remote
K3-Innovations is seeking a
Data Analyst
to support the
Global Epidemiology function within Clinical Sciences
. This role is ideal for an epidemiology or public health professional with strong real-world data (RWD) experience and hands-on expertise in statistical analysis, database manipulation, and epidemiologic research.
The successful candidate will work independently to develop analysis plans, analyze epidemiology databases, interpret findings, and communicate results to epidemiologists and cross-functional stakeholders.
🔹 Key Responsibilities
Apply general to advanced
epidemiology research techniques
to address drug safety questions.
Develop and independently manage
data/statistical analysis plans
.
Analyze epidemiology databases and prepare relevant
tables and figures
.
Communicate analysis results and findings clearly to epidemiologists and cross-functional teams.
Contribute to the design of
observational studies and registries
.
Provide critical appraisal of observational study protocols.
Convert sales data into
exposure data
, including stratification by age, gender, indications, and other key factors using real-world data.
Provide epidemiology data for core safety and regulatory documents, including
RMPs, PSURs, and Briefing Books
.
Conduct comprehensive literature reviews related to RWD methodology and coding algorithms.
Provide insights into real-world data, analysis tools, epidemiology study concepts, protocols, and proposals.
🔹 Required Qualifications
MPH or MS
in Epidemiology, Health Services Research, Pharmacy Administration, or a related field.
PhD preferred.
With a Master's degree:
4–5 years of epidemiology and/or public health experience required
.
With a PhD:
1–2 years of relevant experience required
.
Pharmaceutical industry experience is preferred.
Proficiency with
SAS, SQL, R
, or related statistical/data analysis tools.
Experience with data analysis, modeling, and visualization.
Strong experience working with
real-world data
, including health insurance claims and/or EMR data.
Extensive experience manipulating and analyzing RWD databases.
Knowledge and experience across different
therapeutic areas
.
⭐ Ideal Candidate
We're looking for someone who can work independently with
real-world healthcare data
, translate complex datasets into meaningful epidemiologic insights, and communicate findings effectively to scientific and cross-functional audiences.
Experience with tools such as
SAS, SQL, R, and Aetion
is highly valuable for this role.
📩
Interested?
Please reach out to learn more about this opportunity and discuss your qualifications.
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