Remote Position11.03.26
AI SCORE 8.5

Summer Internship: Clinical Pharmacology AI/​ML Intern - Remote

$30K–$40K/year

About the Role

We are excited to offer a Summer Internship: Clinical Pharmacology AI/ML Intern - Remote position. This internship provides a unique opportunity for students and recent graduates to gain hands-on experience in the rapidly evolving field of clinical pharmacology, artificial intelligence, and machine learning. As a Clinical Pharmacology AI/ML Intern, you will work with a global team dedicated to improving access to medicines through innovative data analysis and machine learning techniques.

What You'll Do

  • Assist in the development and implementation of AI and ML models for clinical pharmacology data analysis.
  • Collaborate with cross-functional teams to gather and analyze data related to drug development and pharmacokinetics.
  • Contribute to the creation of dashboards and visualizations to present analytical findings.
  • Engage in statistical analysis and population modeling to support clinical research initiatives.
  • Participate in user acceptance testing and provide feedback on system functionality.

Requirements

  • Pursuing a degree in Data Science, Computer Science, Pharmacology, or a related field.
  • Familiarity with programming languages such as Python and R.
  • Basic understanding of machine learning concepts and statistical analysis.
  • Strong analytical skills and attention to detail.
  • Ability to work collaboratively in a remote team environment.

Nice to Have

  • Experience with data visualization tools.
  • Knowledge of clinical research methodologies.
  • Interest in pharmacometrics and drug development.

What We Offer

  • Comprehensive benefits package including Medical, Dental, Vision, 401(k), and FSA/HSA options.
  • Paid Time Off and Wellness programs.
  • Equal opportunity employer with support for reasonable accommodations.
  • Opportunities for professional growth and engagement in meaningful work.
  • Collaboration with a global team focused on improving access to medicines.
Why This Job8.5 of 10

This remote internship offers a unique opportunity to gain experience in AI and ML within the clinical pharmacology field. With a comprehensive benefits package and a focus on professional growth, it's an attractive position for aspiring data scientists.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and R for data manipulation and analysis, with experience in libraries such as Pandas, NumPy, and Scikit-learn to implement machine learning algorithms.

Self-motivated and comfortable working independently in a remote environment, demonstrating strong time management skills and the ability to meet deadlines without direct supervision.

Analytical mindset with a keen interest in clinical pharmacology, capable of conducting statistical analyses and visualizing data using tools like Matplotlib or Seaborn to derive insights.

Learning Resources

Python for Data Analysisbook

Career Path

Summer Internship: Clinical Pharmacology AI/ML Intern(Now)Data Analyst/Junior Data Scientist(1-2 years)Clinical Pharmacology Data Scientist(3-5 years)

Market Overview

Market Size 2024
$22.5B
Annual Growth
12.3%
AI Adoption in Healthcare
45%
Investment in AI/ML Technologies
+40%
Labour Demand for Data Scientists
+30%
Avg Salary for AI/ML Interns
$70K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningNatural Language ProcessingBig Data Technologies
Declining
SASSPSS

Domain Trends

Increased Adoption of AI in Drug Discovery
AI technologies are being increasingly adopted in drug discovery processes, with 30% of pharmaceutical companies implementing AI solutions.
Rise of Remote Data Science Roles
The demand for remote roles in data science and machine learning has surged by 50% since 2022, making it essential for interns to be adaptable to remote work environments.
Growing Importance of Ethical AI
Over 60% of organizations are prioritizing ethical considerations in AI development, indicating a need for interns to be aware of ethical implications in AI/ML projects.

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