Senior Pharmaceutical Data Scientist

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Medical aid

Retirement savings plan

Professional development opportunities

Performance bonuses

Job summary

Placements24 invites a Senior Pharmaceutical Data Scientist for Randburg, Gauteng, a hybrid role balancing remote analysis with in‑office collaboration.

You will apply statistics, ML, and data wrangling to clinical, R&D, and manufacturing datasets, shaping drug development and patient outcomes.

Join a leading pharmaceutical company and mentor junior data scientists while ensuring data integrity and regulatory compliance.

Qualifications

• Minimum 5 years of pharmaceutical or biotech data experience.
• Strong proficiency in Python or R and ML techniques.
• Experience wrangling data from clinical databases, LIMS, and manufacturing systems.
• Familiarity with data governance, privacy, and regulatory requirements.

Responsibilities

• Develop and implement statistical models and ML algorithms.
• Extract, clean, and transform data from diverse sources.
• Identify trends and insights to support drug discovery and manufacturing decisions.
• Design experiments including clinical data analyses and predictive modeling.
• Develop dashboards and visualizations to communicate findings to stakeholders.
• Mentor junior data scientists and collaborate with cross-functional teams.
• Stay current with advances in data science applications in pharma.

Skills

Python

R

Machine Learning

Statistical Modeling

Data Mining

SQL

NoSQL

Tableau

Power BI

Data Visualization

Education

Master's degree

PhD

Tools

Tableau

Power BI

NoSQL

Job description

About the Role

Our client, a leading pharmaceutical company, is seeking a highly skilled Senior Pharmaceutical Data Scientist for their operations in Randburg, Gauteng . This hybrid role combines the analytical rigor of remote work with essential in-office collaboration. You will leverage advanced statistical techniques and machine learning algorithms to analyze complex datasets from clinical trials, R&D, and manufacturing. Your insights will drive critical decision-making, optimize drug development processes, and enhance patient outcomes. This is an exciting opportunity for a data-driven professional to make a significant impact in the pharmaceutical industry.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze large, complex datasets.
• Extract, clean, and transform data from various sources, including clinical databases, LIMS, and manufacturing systems.
• Identify trends, patterns, and insights from data to support drug discovery, development, and manufacturing decisions.
• Design and analyze experiments, including clinical trial data analysis and predictive modeling.
• Develop dashboards and visualizations to communicate findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams, including biostatisticians, clinicians, and engineers.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in pharmaceuticals.
• Ensure data integrity, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA).
• Mentor junior data scientists and contribute to the development of the data science team.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a strong focus on pharmaceutical or biotech data.
• Proficiency in programming languages such as Python or R, and relevant data science libraries.
• Extensive experience with machine learning techniques, statistical modeling, and data mining.
• Familiarity with database technologies (SQL, NoSQL) and data warehousing concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of the pharmaceutical R&D or manufacturing lifecycle.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a hybrid environment and manage projects independently.

Benefits

Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package including medical aid and retirement savings. The hybrid work model provides flexibility to manage your work and personal life effectively. Opportunities for continuous learning, professional development, and career advancement within a leading pharmaceutical organization are available. Join an innovative company at the intersection of data science and healthcare, driving future therapeutic breakthroughs. This role offers a stimulating intellectual challenge in Randburg .