Clinical pharmacology intern - oncology

job summary:
This intensive 12-week doctoral internship focuses on advancing the mechanistic understanding of Antibody-Drug Conjugates (ADCs) through sophisticated Model-Informed Drug Development (MIDD). The successful candidate will lead a high-impact project investigating the translational drivers of variability in preclinical Tumor Static Concentration (TSC) estimates across vedotin platforms. This role is pivotal in refining the modeling strategies that inform early-stage candidate selection and direct the trajectory of novel oncology therapeutics toward clinical success.

location: San Diego, California
job type: Contract
work hours: 9 to 5
education: Doctorate


responsibilities:

• Curate, harmonize, and execute rigorous quality control on complex in vitro and in vivo preclinical datasets across multiple ADC programs.
• Standardize xenograft PK/PD model structures and refine TSC estimation methodologies to ensure cross-platform comparability.
• Perform multivariate and model-based analyses to isolate the mechanistic drivers of TSC variability and evaluate their translational relevance.
• Interrogate existing translational PK/PD models, challenging assumptions to explore alternative semi-mechanistic or systems-informed modeling frameworks.
• Translate quantitative findings into strategic recommendations for early ADC portfolio decision-making.
• Synthesize research into a comprehensive technical summary and deliver a final presentation to a cross-functional audience of clinical pharmacology and translational scientists.

qualifications:
Required:

• Current enrollment in a PhD program (4th or 5th year strongly preferred) in Pharmacometrics, Clinical Pharmacology, Biomedical Engineering, Biostatistics, or a related quantitative biological science.
• Documented, hands-on experience in MIDD and Pharmacometrics; candidates must demonstrate the ability to execute modeling projects independently from inception to completion.
• Advanced proficiency in R programming for data analysis and statistical modeling.

#LI-AO1

• Strong foundational knowledge of PK/PD concepts, including non-linear mixed-effects modeling and multivariate data interpretation.
• Must be able to commit to a full-time, 12-week schedule (Monday-Friday) with no duration flexibility.

Preferred:

• Direct experience with Tumor Growth Inhibition (TGI) modeling and xenograft efficacy datasets.
• Familiarity with the pharmacology of ADCs, including payload dynamics and target-mediated drug disposition (TMDD).
• Experience utilizing industry-standard platforms such as NONMEM, Monolix, or R-based modeling frameworks (e.g., mrgsolve, nlmixr).
• A record of scientific contribution via peer-reviewed publications, posters, or conference presentations in the field of quantitative pharmacology.

skills: Oncology, PKPD


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact View email address on click.appcast.io.


Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).


This posting is open for thirty (30) days.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.


Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.


We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.