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Everest Clinical Research

PK Scientist II

Everest Clinical Research

. Conduct PK/PD data analysis using non-compartmental analysis .

Posted 10/9/2026full-timeRemote • CanadaJuniorMid-Level💰 CA$105,000 - CA$120,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Expertise in PK/PD data analysis and modeling, with proficiency in tools such as Phoenix WinNonlin and R. Strong background in clinical trial design, regulatory submissions, and scientific writing.

Highest-signal resume keywords
PK/PD Data AnalysisPhoenix WinNonlinClinical Trial DesignScientific WritingPharmacokinetics

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Non-Compartmental AnalysisPK/PD ModelingStatistical AnalysisData InterpretationPharmacodynamicsPharmacokineticsRegulatory SubmissionsClinical PharmacologyTherapeutic Area KnowledgeProject Management
Soft Skills
Effective CommunicationLogical ThinkingCreativityInterpersonal SkillsTeamwork
Tools & Technologies
MonolixNLMERSASWinNonlin
Industry Keywords
Clinical TrialsPharmaceuticalsIND/NDA/ANDA SubmissionsSOPsICH Guidelines

About the role

Key responsibilities & impact
  • Conduct PK/PD data analysis using non-compartmental analysis
  • Support PK/PD modeling and simulations using Phoenix WinNonlin, NLME, Monolix, R, and related software
  • Apply strategic direction and vision on PK/PD data analysis to support clinical trial designs, compound development plans, and regulatory submissions
  • Generate predictive simulations and provide input into trial protocol development
  • Provide input into clinical trial Statistical Analysis Plans and mock tables, listings, and graphs shells, including PK/PD analysis components
  • Author standalone PK/PD Analysis Plans, including PK/PD mock shells
  • Author and/or review PK/PD-related documents and reports, including protocols and PK Study Reports
  • Contribute to clinical pharmacology sections of protocols, clinical study reports, Investigator's Brochures, briefing documents, and IND/NDA/ANDA submissions
  • Work with regulatory affairs personnel to provide PK/PD data for regulatory communications and presentations as needed
  • Maintain and adhere to divisional SOPs, guidelines, therapeutic-area standards, and conventions
  • Keep current with pharmaceutical drug trial regulator and ICH requirements or guidelines
  • Plan and carry out professional development

Requirements

What you’ll need
  • Advanced degree, Ph.D., or M.Sc. in Clinical Pharmacology (including Pharmacokinetics, Pharmacodynamics), Pharmacy, Biopharmaceutics, or related field
  • At least 2 to 4 years’ experience as a PK Scientist or related role in the pharmaceutical clinical trial environment
  • Experience in multiple therapeutic areas and Phase I through IV clinical trials is preferred
  • Proficient in using WinNonlin, or equivalent
  • Other relevant pharmacometric software for non-compartmental analysis, PK/PD analysis, and modeling is preferred
  • Familiarity with SAS and/or R is preferred (or willingness to learn and master SAS skills)
  • Excellent understanding of clinical trials and common clinical trial statistical analysis methods is preferred
  • Skilled in scientific writing and data interpretation is preferred
  • Demonstrated ability to understand PK results
  • Able to communicate effectively, orally and in writing
  • Demonstrated ability for logical thinking, vision, and creativity necessary to function effectively with a large degree of independence and little supervision
  • Experience with client relationship management is preferred
  • Ability to multi-task and manage multiple projects with competing and aggressive timelines
  • Excellent interpersonal and teamwork skills; detail-oriented, customer-, and quality-focused
  • Well organized and able to work independently
  • Strong understanding of fundamental PK/PD and statistical principles

Benefits

Comp & perks
  • Medical, dental, and vision coverage
  • Life and AD&D insurance
  • Short- and long-term disability
  • Tuition reimbursement
  • Fitness reimbursement
  • Employee assistance program (EAP)
  • Pension plan
  • Generous paid time off and sick leave
  • Opportunity to earn a performance based bonus