Clinical Application Specialist II

Actalent; North Chicago (IL); Remote; USD 55,000 - 69,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

PTO / Paid time off

Job summary

Actalent is seeking a Clinical Application Specialist II Data Analytics (Remote) to support Global Epidemiology within Clinical Sciences. The role develops and executes data and statistical analysis plans, delivers actionable findings, and contributes to observational study design using real-world data sources.

It requires expertise in SAS, SQL, R, and Aetion, with strong communication to cross-functional teams.

Qualifications

• Master's level degree in epidemiology or related field with strong analytical skills.
• PhD preferred for senior expertise and leadership.
• Experience with real-world data and complex epidemiology analyses.

Responsibilities

• Apply epidemiology research techniques to address drug safety questions.
• Access and utilize public and private real-world data resources.
• Develop and manage data and statistical analysis plans for epidemiology databases.
• Perform complex analyses and clearly communicate results to stakeholders.
• Contribute to observational study design including registries.
• Translate sales data into exposure data across key factors.
• Support safety and regulatory documents with epidemiology data outputs.
• Conduct literature reviews on real-world data analytics methods.
• Provide guidance on epidemiology study concepts and study protocols.
• Utilize SAS, SQL, R, and Aetion for data analysis and visualization.
• Offer user support and training for analytics tools.

Skills

Epidemiology

Data analysis

Communication

Public health research

Real-world data

Education

MPH/MS in Epidemiology or related field

PhD preferred

Tools

SAS

SQL

R

Aetion

Job description

Job Title: Clinical Application Specialist II Data Analytics (Remote) Job Description

The Clinical Application Specialist II Data Analytics supports the Global Epidemiology function within Clinical Sciences by providing advanced expertise in real-world data and analytical methods. This fully remote role develops and executes data and statistical analysis plans with minimal technical oversight and independently delivers clear, actionable findings to epidemiologists and cross-functional partners. The specialist conducts comprehensive literature reviews, supports the design and evaluation of observational studies, and provides critical epidemiology data to core safety and regulatory documents while using modern analytics tools and real-world data sources.

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 Skills

• MPH 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 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 Type

This is a fully remote position.

Application Deadline

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

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [e-mail] for other accommodation options.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.