Jobs
Required Skills
Python
PySpark
Statistical analysis
Regression
Hypothesis testing
Predictive modeling
Job Overview
Provide applied statistical methodology support and enhancement to a wide range of syndicated data offerings.
Essential responsibility
Own the maintenance of existing statistical methodologies and ensure quality control of related offerings.
Proactively monitor, conduct quality control (QC), and implement procedures to maintain stable and accurate data trends.
Develop and utilize various data analysis methods across multiple platforms, employing diverse data tools to build and implement efficient techniques, QC reports, or research new methodologies.
Assist in the test-case design and validation of new methodologies.
Conduct statistical programming, develop, and apply statistical QC and summarization to meet internal information needs.
Perform data reviews to derive conclusions from analyses, write up results, and deliver regular summary reports for core processes.
Ensure comprehensive and organized project documentation and file management.
Communicate effectively with cross-functional teams to illustrate methodology design. Collaborate extensively with these teams to implement new methodologies, report progress, and meet critical deadlines.
Work in a Big Data environment, rewriting code using SAS, SQL, Python, R, or other languages as needed.
Qualifications
Master’s degree or equivalent in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative science field such as operations research, market research, or applied statistics.
2-3 years of industry experience in statistical methodology and AI/ML.
Solid statistical knowledge, including regression, hypothesis testing, sampling statistics (universe, sample design, projection factors), and predictive modeling.
Practical experience using AI/ML for imputation, projection, and outlier detection is preferred.
Strong logical thinking and programming skills in Python and Py Spark are required.
Applied experience in SAS and/or other statistical programming is preferred.
Technical ability to extract, manipulate, and combine datasets from different sources and platforms. Hands-on experience with Snowflake is a plus.
Strong written and verbal communication skills, including the ability to explain concepts to both statistical and non-statistical audiences. Be proficient in English communication.
Good time management and learning ability, can deliver good results under pressure.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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About IQVIA

IQVIA
PublicFocused on health information technology and clinical research.
10,001+
Employees
Durham
Headquarters
$17B
Valuation
Reviews
3.9
2 reviews
Work Life Balance
2.5
Compensation
2.0
Culture
2.8
Career
3.0
Management
2.5
65%
Recommend to a Friend
Pros
Structured feedback and development process
Meaningful contribution to client businesses
Problem-solving with specialized knowledge
Cons
Strict performance requirements and termination risk
High-level rubric definitions lack detail
No performance bonuses offered
Salary Ranges
42 data points
Junior/L3
Senior/L5
Junior/L3 · Analyst
2 reports
$107,910
total / year
Base
$93,834
Stock
-
Bonus
-
$97,750
$118,068
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical Manager Interview
5
Executive/GM Interview
6
Offer
Common Questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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