Remote Pharmaceutical Data Scientist

Placements24; Richards Bay; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote

Comprehensive health insurance

Paid time off

Learning & development

Job summary

Placements24 is seeking a skilled Remote Pharmaceutical Data Scientist to join our innovative team. In this fully remote role, you will extract insights from complex pharmaceutical datasets, using advanced statistical modeling, ML, and visualization to drive decisions across R&D and commercial operations.

You will collaborate with scientists and business teams, design analyses, develop predictive models, and help maintain data infrastructure.

Qualifications

• 5+ years of Data Science experience in pharma/healthcare.
• Proficient in Python or R and ML libraries.
• Experience with Tableau or Power BI and SQL.
• Strong remote collaboration and communication skills.

Responsibilities

• Develop predictive models and ML algorithms for large pharma datasets.
• Perform statistical analyses of drug efficacy, safety, and market data.
• Create data visualizations and reports for technical and non-technical audiences.
• Collaborate with researchers and commercial teams to define analyses.
• Contribute to data infrastructure and analytical tool development.
• Stay updated on data science advances in pharma.

Skills

Python

R

SQL

Machine Learning

Statistical Modeling

Data Visualization

Remote Collaboration

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Job description

About the Role

Our client is looking for a skilled and analytical Remote Pharmaceutical Data Scientist to join their innovative team. In this fully remote position, you will play a critical role in extracting valuable insights from complex pharmaceutical datasets, driving data-informed decision-making across research, development, and commercial operations. You will leverage advanced statistical modeling, machine learning, and data visualization techniques to uncover trends, predict outcomes, and optimize processes. This role offers the flexibility of remote work combined with the challenge of solving critical problems within the pharmaceutical industry.

Key Responsibilities

• Develop and implement predictive models and machine learning algorithms to analyze large-scale pharmaceutical datasets (e.g., clinical trial data, R&D, real-world evidence).
• Design and conduct statistical analyses to identify patterns, trends, and correlations related to drug efficacy, safety, and market performance.
• Create compelling data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Collaborate with research scientists, clinicians, and business teams to define data analysis requirements and project goals.
• Contribute to the development and maintenance of data infrastructure and analytical tools.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the pharmaceutical domain.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist, with a focus on the pharmaceutical or healthcare industry.
• Strong proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning techniques, and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI) and database querying (SQL).
• Excellent analytical, problem-solving, and communication skills, with the ability to work effectively in a remote team environment.

Benefits

• Competitive salary and potential for annual bonuses.
• Fully remote working arrangement, offering significant flexibility.
• Comprehensive health insurance, including medical, dental, and vision.
• Generous paid time off and holidays.
• Opportunities for continuous learning and professional development in data science and pharmaceuticals.