Remote Senior Pharmaceutical Data Scientist

Placements24; Pretoria; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Work from home flexibility

Job summary

Placements24 is seeking a Senior Pharmaceutical Data Scientist to join a globally recognized pharmaceutical leader in a fully remote role within South Africa. You will leverage large datasets to drive insights for drug discovery, development, clinical trials, and commercial operations, using advanced ML, statistics, and data visualization.

The ideal candidate has 7+ years in data science in pharma, with Python/R expertise, and experience with Spark/Hadoop and cloud platforms.

Qualifications

• PhD or Master’s in Data Science, Statistics, Computer Science, Bioinformatics, or related quantitative field.
• Minimum 7 years in data science, with significant Life Sciences exposure.
• Proficiency in Python or R and data science libraries.
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).

Responsibilities

• Develop and implement advanced statistical models, ML algorithms, and AI solutions for pharmaceutical data.
• Analyze large and complex datasets from clinical trials, R&D, real-world evidence, and manufacturing.
• Design predictive analytics to forecast drug efficacy, patient outcomes, and market trends.
• Collaborate with R&D, clinical operations, regulatory, and commercial teams on data-driven opportunities.
• Develop data visualization tools and dashboards to communicate insights to stakeholders.
• Contribute to clinical trial design and real-world evidence studies through robust statistical planning.
• Build and maintain data pipelines ensuring data quality and accessibility.
• Stay current with advances in data science, AI, and ML within pharma.

Skills

Statistical modeling

Machine learning

Deep learning

Predictive analytics

Data visualization

Leadership

Data privacy

Education

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

Tools

Python

R

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a globally recognized **Pharmaceutical** leader, is seeking an exceptional Senior Pharmaceutical Data Scientist to join their innovative team. This is a fully remote position, allowing you to contribute your expertise from anywhere within **South Africa**. You will be instrumental in leveraging vast datasets to drive critical insights across drug discovery, development, clinical trials, and commercial operations. The ideal candidate will possess a strong blend of data science, statistical modeling, machine learning, and pharmaceutical domain knowledge. You will be responsible for developing advanced analytical models, designing data-driven strategies, and collaborating with cross-functional teams to solve complex challenges and accelerate the development of life-saving therapies. We are looking for a visionary data scientist who can translate complex data into actionable business intelligence and scientific breakthroughs, shaping the future of medicine from a remote setting.

Key Responsibilities

• Develop and implement advanced statistical models, machine learning algorithms, and AI solutions for pharmaceutical data.


• Analyze large and complex datasets from various sources, including clinical trials, R&D, real-world evidence, and manufacturing.


• Design and conduct predictive analytics to forecast drug efficacy, patient outcomes, and market trends.


• Collaborate with R&D, clinical operations, regulatory affairs, and commercial teams to identify data-driven opportunities.


• Develop data visualization tools and dashboards to communicate insights effectively to stakeholders.


• Contribute to the design of clinical trials and real-world evidence studies through robust statistical planning.


• Build and maintain data pipelines, ensuring data quality, integrity, and accessibility.


• Stay current with the latest advancements in data science, AI, and machine learning within the pharmaceutical context.


• Mentor junior data scientists and contribute to the growth of the data science community within the organization.


• Ensure compliance with data privacy regulations (e.g., POPIA) and industry best practices.


• Translate complex analytical findings into clear, concise recommendations for business and scientific decision-making.

Requirements

• PhD or Master's degree in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.


• Minimum of 7 years of experience in data science, with a significant portion focused on the **Pharmaceutical** or Life Sciences industry.


• Proven expertise in statistical modeling, machine learning, deep learning, and predictive analytics.


• Proficiency in programming languages such as Python or R, and associated data science libraries.


• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).


• Strong understanding of clinical trial design, pharmaceutical R&D processes, and regulatory landscapes.


• Excellent data visualization and communication skills, with the ability to explain complex technical concepts to non-technical audiences.


• Demonstrated ability to lead complex data science projects from conception to deployment.


• Experience with data privacy and security best practices.


• Must be legally authorized to work remotely in **South Africa**.

Benefits

• This fully remote role offers a highly competitive salary, comprehensive health insurance, retirement savings plans, and potential for performance-based bonuses.


• Our client is committed to fostering a culture of continuous learning and provides excellent opportunities for professional development, including access to cutting-edge tools and training programs.


• Enjoy the flexibility of working from home while contributing to groundbreaking pharmaceutical research and development.


• This position allows you to leverage your skills from anywhere in **South Africa**, supporting our company's global **Pharmaceutical** initiatives.