Remote Pharmaceutical Data Scientist

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Fully remote work arrangement

Competitive salary

Health, dental, and vision benefits

Professional growth opportunities

Generous paid time off

Job summary

Placements24 is seeking a highly skilled Remote Pharmaceutical Data Scientist to drive insights from complex datasets in the pharmaceutical industry. You will apply advanced analytics, machine learning, and statistical modeling to support drug discovery, clinical development, and post-market surveillance from a home office.

The role emphasizes remote work, strong data governance, and clear communication, with opportunities for professional growth and a competitive compensation package.

Qualifications

• Master's or PhD in a quantitative field such as Data Science, Statistics, CS, or Bioinformatics.
• Proven Data Scientist with pharmaceutical/biotech experience.
• Proficient in Python or R and libraries like Scikit-learn, TensorFlow, PyTorch.
• Strong statistical modeling, ML, and experimental design knowledge.
• Experience with big data technologies and cloud platforms (AWS/Azure/GCP).
• Excellent communication and remote-work abilities.

Responsibilities

• Develop and implement statistical models and ML algorithms for large-scale pharmaceutical datasets.
• Identify trends and insights to inform drug discovery and clinical design.
• Design data mining strategies for correlations and predictive markers.
• Collaborate with researchers, clinicians, and IT to define data needs and ensure quality.
• Create visualizations and reports for technical and non-technical audiences.
• Contribute to data governance policies and best practices.

Skills

Python

R

Machine Learning

Big Data

Education

Master's or PhD in Data Science/Statistics/CS/Bioinformatics

Tools

Scikit-learn

TensorFlow

PyTorch

AWS/Azure/GCP

Job description

About the Role

Our client is seeking a highly skilled Remote Pharmaceutical Data Scientist to drive insights from complex datasets within the pharmaceutical industry. You will leverage advanced analytical techniques, machine learning, and statistical modeling to support drug discovery, clinical development, and post-market surveillance efforts, all from the comfort of your home office. This role is vital in transforming raw data into actionable intelligence that guides strategic decision-making and accelerates innovation. If you are passionate about using data to solve challenging pharmaceutical problems and thrive in a fully remote setting, this is the perfect opportunity for you.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze large-scale pharmaceutical datasets (e.g., clinical trial data, real-world evidence, omics data).
• Identify trends, patterns, and insights that can inform drug discovery, optimize clinical trial design, and improve patient outcomes.
• Design and execute data mining strategies to uncover novel correlations and predictive markers.
• Collaborate with researchers, clinicians, and IT professionals to define data requirements and ensure data quality.
• Create compelling data visualizations and reports to communicate complex findings to technical and non-technical audiences.
• Contribute to the development of data governance policies and best practices for data analysis within the organization.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong focus on the pharmaceutical or biotechnology sectors.
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical modeling, machine learning techniques, and experimental design.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent analytical, problem-solving, and communication skills, with a proven ability to work effectively remotely .

Benefits

• An attractive, highly competitive salary.
• Fully remote work arrangement with flexibility in working hours.
• Comprehensive health, dental, and vision benefits package.
• Opportunities for professional growth, including access to online courses and conferences.
• Generous paid time off and a strong focus on employee well-being.