Why Join Clintel?

Clintel.ai is an innovative research and consulting organization dedicated to accelerating drug development through advanced pharmacometrics and clinical pharmacology solutions. We partner with global biopharmaceutical companies to optimize dosing strategies and streamline regulatory pathways.

Innovative Science

Work on cutting-edge pharmacokinetic analysis and contribute to drug development decisions that impact patients globally.

Global Impact

Partner with leading biopharmaceutical companies worldwide and make meaningful contributions to healthcare.

Growth & Learning

Continuous learning opportunities with exposure to the latest analytical tools and methodologies in pharmacometrics.

Open Positions

Scientist, Pharmacokinetics

Vadodara, Gujarat On-site Full-time

How Will Your Role Make an Impact at Clintel.ai?

As a Scientist, you will be the technical expert responsible for the execution, quality control, and reporting of pharmacokinetic (PK) analyses for client projects. Your primary responsibility will be leveraging Non-Compartmental Analysis (NCA) using industry-standard software to derive critical PK parameters that inform dose selection and regulatory submissions. You will ensure the scientific integrity of the data that drives pivotal drug development decisions.

Primary Responsibilities

PK Data Analysis & Execution

• Independently design, conduct, and interpret Non-Compartmental Analysis (NCA) for preclinical and clinical study data (single dose, multiple dose, dose proportionality, etc.)
• Utilize Phoenix WinNonlin as the primary tool for all NCA and PK parameter calculation
• Develop and execute quality control checks on raw data and derived PK parameters using R for efficient data manipulation and visualization

Report Generation & Regulatory Documentation

• Author, review, and finalize robust PK reports that meet regulatory standards and client expectations
• Contribute technical sections related to clinical pharmacology and PK findings for regulatory submissions (e.g., INDs, CTAs, NDAs)

Data Visualization & Communication

• Generate publication-quality tables and figures using R (ggplot2 or similar packages) to visualize PK profiles and relationships
• Present PK analysis findings clearly and concisely to internal teams and external clients

Modeling Input (Advantageous)

• Experience with compartmental modeling (e.g., PBPK or PopPK using tools like NONMEM or Monolix) is considered a strong asset, but not mandatory

Qualifications

Education & Experience

Ph.D. in Pharmaceutical Sciences, Pharmacokinetics, Pharmacology, or a related discipline with 0-2 years of industry experience, OR
PharmD or Master's degree (M.Pharm/M.Sc.) with 3-5 years of relevant industry experience in a CRO or Pharma setting

Core Technical Skills

Expert proficiency with Phoenix WinNonlin for Non-Compartmental Analysis (NCA)
Strong proficiency in R for data manipulation, QC, and advanced data visualization
Solid foundation in Pharmacokinetics (PK), ADME, and Clinical Pharmacology principles
Proven track record of authoring regulatory-grade technical documents (PK reports)

Desired Skills (A Plus)

Prior exposure to Population PK (PopPK) or PBPK modeling software (e.g., NONMEM, Monolix)

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