Clinical Epidemiology Data Specialist

Synectics Inc.; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Healthcare Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Equal Opportunity Employer

Job summary

The Contractor in Data Analytics role at Synectics Inc. supports the Global Epidemiology function within Clinical Sciences by providing expertise in real-world data and analysis methods.

You will develop data/statistical analysis plans and execute analyses with minimal oversight, delivering results to epidemiologists and cross-functional partners. You will conduct literature reviews, offer insights into data tools and epidemiology study concepts, and apply advanced methods to address drug-safety

Qualifications

• MPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration; OR
• Master degree with 4-5 years of epidemiology and/or public health experience; OR
• Ph.D. degree with 1-2 years of experience
• Pharmaceutical industry experience is preferred.
• Proficient with SAS, SQL, R, Python, or related statistical software or other data analysis tools for data analysis, modeling, and visualization.
• Familiar with real-world data (e.g. health insurance claims, EMRs) concepts and structures.
• Extensive experience in manipulating and analyzing these databases is required.
• Knowledge and experience in different therapeutic areas.
• Data Science background
• Experience with statistical analysis.
• Familiarity with Real-World Data (RWD).

Responsibilities

• The Contractor in Data Analytics is accountable to a real-world data and analytics leader within the Global Epidemiology function in Clinical Sciences.
• The role provides expertise of real-world data and analysis methods within Clinical Sciences.
• Develop data/statistical analysis plans and execute data analysis with minimal technical oversight.
• Independently deliver data analysis results and findings to epidemiologists or cross-functional members as necessary.
• Do comprehensive literature review for real-world data methodology and coding algorithm.
• Provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.
• Understand general to advanced epidemiology research techniques to apply appropriate research methods to answer questions relating to drug safety
• Be aware of and familiar with public and private resources and databases relevant to epidemiology for use in data analysis
• Independently manages data/statistical analysis plan and analyze specific epidemiology databases to prepare relevant tables and figures.
• Clearly communicate the results and findings to epidemiologists and cross-functional members as needed
• Contribute to the design of observational studies, including registries, providing critical appraisal of observational study protocols through participation in inter-departmental and cross-functional committees as needed
• Be able to convert sales data to exposure data, overall and stratified by key factors, e.g. age groups, gender, indications by leveraging with real-world data
• Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books
• Be proficient with analysis tools, e.g. SAS, SQL, R, Aetion, for data analysis, modeling, and visualization
• Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data

Skills

SAS

SQL

R

Python

Epidemiology

Data Visualization

Aetion

Real-World Data

Education

MPH or MS in Epidemiology/Health Services

Master with 4-5 years epidemiology/public health

PhD with 1-2 years experience

Tools

SAS

SQL

R

Python

Aetion

Job description

• The Contractor in Data Analytics is accountable to a real-world data and analytics leader within the Global Epidemiology function in Clinical Sciences.
• The role provides expertise of real-world data and analysis methods within Clinical Sciences.
• Required to draw upon their experience to develop data/statistical analysis plans and execute data analysis with minimal technical oversight.
• Required to be able to independently deliver data analysis results and findings to epidemiologists or cross-functional members as necessary.
• Do comprehensive literature review for real-world data methodology and coding algorithm.
• Provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.
• Understand general to advanced epidemiology research techniques to apply appropriate research methods to answer questions relating to drug safety
• Be aware of and familiar with public and private resources and databases relevant to epidemiology for use in data analysis
• Independently manages data/statistical analysis plan and analyze specific epidemiology databases to prepare relevant tables and figures.
• Clearly communicate the results and findings to epidemiologists and cross-functional members as needed
• Contribute to the design of observational studies, including registries, providing critical appraisal of observational study protocols through participation in inter-departmental and cross-functional committees as needed
• Be able to convert sales data to exposure data, overall and stratified by key factors, e.g. age groups, gender, indications by leveraging with real-world data
• Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books
• Be proficient with analysis tools, e.g. SAS, SQL, R, Aetion, for data analysis, modeling, and visualization
• Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data

Job Description

• The Contractor in Data Analytics is accountable to a real-world data and analytics leader within the Global Epidemiology function in Clinical Sciences.
• The role provides expertise of real-world data and analysis methods within Clinical Sciences.
• Required to draw upon their experience to develop data/statistical analysis plans and execute data analysis with minimal technical oversight.
• Required to be able to independently deliver data analysis results and findings to epidemiologists or cross-functional members as necessary.
• Do comprehensive literature review for real-world data methodology and coding algorithm.
• Provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals.
• Understand general to advanced epidemiology research techniques to apply appropriate research methods to answer questions relating to drug safety
• Be aware of and familiar with public and private resources and databases relevant to epidemiology for use in data analysis
• Independently manages data/statistical analysis plan and analyze specific epidemiology databases to prepare relevant tables and figures.
• Clearly communicate the results and findings to epidemiologists and cross-functional members as needed
• Contribute to the design of observational studies, including registries, providing critical appraisal of observational study protocols through participation in inter-departmental and cross-functional committees as needed
• Be able to convert sales data to exposure data, overall and stratified by key factors, e.g. age groups, gender, indications by leveraging with real-world data
• Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books
• Be proficient with analysis tools, e.g. SAS, SQL, R, Aetion, for data analysis, modeling, and visualization
• Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data

Qualifications

• MPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration; OR
• Master degree with 4-5 years of epidemiology and/or public health experience; OR
• Ph.D. degree with 1-2 years of experience
• Pharmaceutical industry experience is preferred.
• Proficient with SAS, SQL, R, Python, or related statistical software or other data analysis tools for data analysis, modeling, and visualization.
• Familiar with real-world data (e.g. health insurance claims, EMRs) concepts and structures.
• Extensive experience in manipulating and analyzing these databases is required.
• Knowledge and experience in different therapeutic areas.
• Data Science background
• Experience with statistical analysis.
• Familiarity with Real-World Data (RWD).

Benefits

Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics.

Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.

Vision Insurance: Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.

401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first of the month following at least 1 calendar year after employment begins.

Synectics is an equal opportunity employer.