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Clinical PK Data Analyst - Programming
Clinical PK Data Analyst - ProgrammingPlanet Pharma • Redwood City, CA, United States
Clinical PK Data Analyst - Programming

Clinical PK Data Analyst - Programming

Planet Pharma • Redwood City, CA, United States
[job_card.variable_hours_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Description

The Opportunity : Clinical PK Data Analyst

We are seeking a highly skilled clinical PK Data Analyst with proficiency in R and SQL programming to join the Clinical Pharmacology team within the Nonclinical Development and Clinical Pharmacology (NDCP) organization. The ideal candidate will leverage expertise in R and SQL programming to mine the databases for drug-drug interaction (DDI) and exploratory analyses. This role involves working with diverse clinical datasets and relational databases.

As a PK Data Analyst, you will be responsible for data mining through direct database access or APIs, data wrangling, and report generation.

Required Skills, Experience and Education :

Duties & Responsibilities :

  • Programming & Scripting in R :

Write clean, efficient, and reproducible R code for statistical analyses.

  • Develop and maintain R scripts for data manipulation, statistical testing, and data visualization.
  • Develop R Shiny applications or R packages to support data mining from databases; familiarity with SQL or APIs is required.
  • Ensure all code is well documented for future use by the team.
  • Data Wrangling & Preprocessing :
  • Collect, clean, and preprocess data from various sources to prepare it for analysis.

  • Handle missing data, perform data transformations, and ensure data integrity.
  • Visualization & Reporting :
  • Create clear and informative data visualizations (e.g., using ggplot2, Shiny) to communicate complex results to non-technical stakeholders.

  • Documentation & Version Control :
  • Maintain comprehensive documentation for all code, models, and processes.

  • Use version control tools (e.g., Git) to manage code changes and collaborate with team members.
  • Required Skills, Experience and Education

  • Master's degree or higher in Statistics, Mathematics, Computer Science, Data Science, or a related field.
  • At least 2-3 years of experience in statistical programming, data analysis, or a related field.
  • Familiarity with SDTM / ADaM datasets.
  • Proven experience with R and associated libraries (e.g., dplyr, tidyr, ggplot2, table1, etc.).
  • Proficiency in data manipulation, cleaning, and transformation techniques using R.
  • Familiarity with version control (Git, GitHub, GitLab).
  • Experience with data visualization tools (e.g., ggplot2, Shiny).
  • Working knowledge of SQL or APIs.
  • Preferred Skills :

  • Ability to troubleshoot and optimize complex R code.
  • Familiarity with large language models (LLM) is a plus.
  • Strong written and verbal communication skills.
  • Equal Opportunity Employer : We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.

    Fraud Alert : Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.

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    Clinical PK Data Analyst Programming • Redwood City, CA, United States

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