2026 Pharmacometrics Intern (PhD)
Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok .
Job Description
Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns.
Pharmacometrics is a subgroup of AbbVie’s Clinical Pharmacology (ClinPharm) organization and provides critical scientific support for all phases of pharmaceutical research and development in all divisions of the business. The Pharmacometrics group is conducting Exposure-Clinical response analyses, performing modeling and simulations as well as statistical analyses to optimize dose selection and trial design. The team does this by integrating data from multiple sources including preclinical and clinical pharmacokinetics, pharmacodynamics, dosing compliance/adherence, effective and toxic exposures, financial metrics, and overall cost/benefit. Another key responsibility of the team is to summarize and present the data and models to regulatory authorities world-wide and authors more than half of the clinical summary documents for global regulatory submissions.
We are seeking a motivated Pharmacometrics Intern to join our ClinPharm organization. Internship projects could vary and are dependent on therapeutic area needs. Current therapeutic areas ClinPharm supports are Immunology, Oncology, Neurology, and Specialty assets.
Key project responsibilities include:
- Assist in developing population PK/PD models
- Analyze clinical trial data using statistical and modeling software
- Support the design and optimization of clinical trials
- Generate presentation to internal stakeholders
Qualifications
Minimum Qualifications
- Currently enrolled in university, pursuing a PhD in Pharmacometrics, Biostatistics, Applied Mathematics, Biomedical Engineering or other related field
- Must be returning to university for at least one semester following the internship
- Proficiency in statistical or modeling software (e.g., NONMEM, R, Python or MATLAB)
Preferred Qualifications
- Expected graduation date between December 2026 – June 2027
- Exposure to pharmacokinetics, pharmacodynamics and/or modeling of dynamic systems
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
Benefits and Amenities:
Competitive pay
Relocation support for eligible students
Select wellness benefits and paid holiday / sick time
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the timeof this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, andwe may ultimately pay more or less than the posted range. This range may be modified in the future.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus,commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolutediscretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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