Clinical Application Specialist II

Responsibilities: Apply general to advanced epidemiology research techniques to address questions related to drug safety using appropriate research methods. Identify, access, and utilize relevant public and private epidemiology resources and databases for real-world data analysis. Independently develop and manage data and statistical analysis plans for specific epidemiology databases, including preparation of relevant tables, figures, and summaries. Perform complex data analyses using real-world data and clearly communicate results, interpretations, and findings to epidemiologists and cross-functional team members. Contribute to the design of observational studies, including registries, by providing critical appraisal of observational study protocols and participating in inter-departmental and cross-functional committees as needed. Convert sales data into exposure data, both overall and stratified by key factors such as age groups, gender, and indications by leveraging real-world data sources. Provide epidemiology data and analytical outputs to core safety and regulatory documents, including but not limited to Risk Management Plans (RMPs), Periodic Safety Update Reports (PSURs), and Briefing Books. Perform comprehensive literature reviews on real-world data analytics methodologies and coding algorithms to support robust study design and analysis. Offer insights into real-world data analysis tools, epidemiology study concepts, and study protocols and proposals. Use and optimize analytical tools such as SAS, SQL, R, and Aetion for data analysis, modeling, and visualization. Support clinical applications and user communities by providing user support and training related to analytics and real-world data use in clinical research. Collaborate with clinical research and other functional teams to ensure that analytical outputs align with scientific, clinical, and regulatory objectives. Essential SkillsMPH or MS degree in Epidemiology, Health Services Research, Pharmacy Administration, or a related field. Ph.D. in a relevant field is preferred.45 years of epidemiology and/or public health experience with a Masters degree, or 12 years of experience with a Ph.D. degree. Experience in the pharmaceutical or related industry is preferred. Proficiency with SAS, SQL, R, or related statistical software for data analysis, modeling, and visualization. Extensive experience manipulating and analyzing real-world data such as health insurance claims and electronic medical records (EMRs), including strong understanding of their concepts and structures. Strong knowledge of real-world data methodologies, including coding algorithms and analytics approaches. Familiarity with multiple therapeutic areas and their associated epidemiology. Ability to independently design and execute data and statistical analysis plans with minimal technical oversight. Ability to clearly present complex analytical findings to epidemiologists and cross-functional stakeholders in a concise and understandable manner. Experience supporting clinical research activities with data analytics and clinical application support.

Additional Skills & Qualifications: Experience with Aetion or similar real-world data analysis platforms for observational research and causal inference. Background in health services research, pharmacy administration, or related disciplines that support outcomes and real-world evidence generation. Exposure to or experience with core safety and regulatory documentation such as Risk Management Plans (RMPs), Periodic Safety Update Reports (PSURs), and regulatory Briefing Books. Experience contributing to the design and critical review of observational studies, including registries. Strong literature review skills, particularly in real-world data analytics methodologies and coding algorithms. Experience providing user support and training for clinical applications and analytics tools. Demonstrated ability to work effectively in cross-functional teams that may include clinical, safety, regulatory, and data science professionals.

Work Environment: This position operates in a fully remote work environment, providing flexibility in location while supporting a global Clinical Sciences and Epidemiology organization. Work is primarily computer-based and involves extensive use of statistical and analytics tools such as SAS, SQL, R, and Aetion, as well as working with large real-world data sources including health insurance claims and electronic medical records (EMRs). Collaboration occurs through virtual meetings, digital communication platforms, and shared project tools, requiring strong self-management, clear communication, and comfort working across time zones. The role is focused on data-driven clinical and epidemiological research, with an emphasis on quality, accuracy, and regulatory readiness of analytical outputs.

Job Type & Location: This is a Contract position based out of North Chicago, IL.

Pay and Benefits: The pay range for this position is $40.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position.

Application Deadline: This position is anticipated to close on Oct 2, 2026.