Senior Data Scientist - Pharmaceutical Research

Placements24; Mossel Bay; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Career growth

Cutting-edge tech

Team collaboration

Generous PTO

Job summary

Placements24 is seeking a Senior Data Scientist for a pharmaceutical research team in Mossel Bay. You will develop predictive models on genomic, proteomic, and clinical data to accelerate drug discovery and optimize trial designs.

You’ll translate complex data into actionable insights and collaborate with chemists, biologists, and clinicians to shape research questions. The role offers an advanced, impact-oriented career path with access to large-scale datasets, modern analytics infrastructure,

Qualifications

• PhD or Master’s degree in a quantitative field.
• Minimum of 6 years of professional data science experience.
• Experience with pharmaceutical/biotech data preferred.

Responsibilities

• Develop and implement ML models for drug discovery pipelines.
• Analyze large-scale genomic, proteomic, and clinical datasets.
• Collaborate with medicinal chemists, biologists, and clinicians to define analyses.
• Design and execute statistical analyses to assess drug efficacy and safety.
• Create data visualizations and reports to communicate findings.
• Mentor junior data scientists and contribute to team growth.

Skills

Statistical modeling

Machine learning

Analytical thinking

Education

PhD or MS in Data Science, Statistics, CS, Bioinformatics or related quantitative field

Tools

Python

R

SQL

Job description

About the Role

Our client is recruiting a highly skilled Senior Data Scientist to join their pharmaceutical research team in Mossel Bay . This role is crucial for leveraging advanced analytics and machine learning to drive drug discovery and development. You will work with complex biological and chemical datasets, developing predictive models to identify potential drug candidates and optimize clinical trial designs. This position offers a challenging and rewarding career path within a leading pharmaceutical research organization, focused on improving patient outcomes through scientific innovation. The ideal candidate will possess a strong quantitative background and a passion for applying data science to solve real-world health challenges.

Key Responsibilities

• Develop and implement machine learning models for drug discovery and development pipelines.
• Analyze large-scale datasets including genomic, proteomic, and clinical trial data.
• Collaborate with medicinal chemists, biologists, and clinicians to define research questions and analytical approaches.
• Design and execute statistical analyses to assess drug efficacy and safety.
• Create compelling data visualizations and reports to communicate complex findings to diverse audiences.
• Mentor junior data scientists and contribute to the team's technical growth.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science, preferably within the pharmaceutical or biotech industry.
• Expertise in statistical modeling, machine learning algorithms , and predictive analytics.
• Proficiency in programming languages like Python or R, and experience with SQL databases.
• Experience with biological data types and pharmaceutical research processes.
• Strong problem-solving skills and ability to translate business needs into analytical solutions.

Benefits

• Exceptional salary and comprehensive benefits package.
• Opportunities for career advancement and professional development.
• Access to cutting-edge technologies and large, complex datasets.
• Collaborative research environment focused on innovation.
• Generous paid time off and retirement savings plan.