Pharmaceutical Data Scientist

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Competitive salary

Medical benefits

Retirement benefits

Performance-based bonus

Job summary

Placements24 in Randburg, South Africa seeks a highly analytical Pharmaceutical Data Scientist to join its advanced analytics team. You will leverage large datasets from omics, clinical, and manufacturing data to drive drug discovery, optimize trials, and enhance manufacturing processes.

You will apply statistical modeling, machine learning, and data visualization using Python or R (scikit-learn, TensorFlow, PyTorch, pandas) and collaborate with researchers and engineers to translate complex

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related field.
• Minimum 4 years of experience in data science with statistical and ML techniques.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch, pandas).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with SQL/NoSQL databases and data manipulation tools.
• Familiarity with pharmaceutical R&D, drug discovery, or clinical development is highly desirable.
• Excellent analytical, problem-solving, and communication skills.
• Ability to communicate findings to non-experts and collaborate in multidisciplinary teams.
• Must have the legal right to work in South Africa.

Responsibilities

• Develop and implement statistical models and ML algorithms to analyze large-scale pharmaceutical data.
• Design and analyze experiments, including clinical trials and manufacturing process data.
• Build predictive models for drug efficacy, safety, and patient response.
• Develop data visualization tools and dashboards to communicate findings to stakeholders.
• Collaborate with researchers, clinicians, and engineers to define data analysis needs.
• Clean, process, and transform raw data into usable formats for analysis.
• Stay abreast of data science advancements and their pharma applications.
• Contribute to data governance strategies and best practices.
• Present complex analytical findings to both technical and non-technical audiences.
• Ensure data integrity and compliance with data privacy regulations.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

pandas

Education

Master's or Ph.D. in Data Science / Statistics / CS / Bioinformatics

Tools

SQL

NoSQL

Job description

About the Role

Our client, a leader in pharmaceutical innovation, is seeking a highly analytical Pharmaceutical Data Scientist to join their advanced analytics team in Randburg, Gauteng . This role is instrumental in harnessing the power of large datasets to drive drug discovery, optimize clinical trials, and enhance manufacturing processes. You will apply statistical modeling, machine learning, and data visualization techniques to extract actionable insights from complex biological and chemical data. The ideal candidate is proficient in programming languages like Python or R, possesses a strong understanding of pharmaceutical development, and excels at communicating complex findings. This is a unique opportunity to contribute to cutting-edge research and development in a dynamic and forward-thinking environment.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze large-scale pharmaceutical data (e.g., omics, clinical, manufacturing).
• Design and analyze experiments, including clinical trials and manufacturing process data, to identify trends and insights.
• Build predictive models for drug efficacy, safety, and patient response.
• Develop data visualization tools and dashboards to effectively communicate findings to diverse stakeholders.
• Collaborate with research scientists, clinicians, and engineers to define data analysis needs and interpret results.
• Clean, process, and transform raw data into usable formats for analysis.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the pharmaceutical industry.
• Contribute to the development of data governance strategies and best practices.
• Present complex analytical findings in a clear and concise manner to both technical and non-technical audiences.
• Ensure data integrity and compliance with relevant data privacy regulations.

Requirements

• A Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• A minimum of 4 years of experience in data science, with a focus on applying statistical and machine learning techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with databases (SQL, NoSQL) and data manipulation tools.
• Familiarity with pharmaceutical R&D processes, drug discovery, or clinical development is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-experts.
• Ability to work effectively in a collaborative, multidisciplinary team.
• Must have the legal right to work in South Africa.

Benefits

• Our client offers a highly competitive salary, comprehensive medical and retirement benefits, and a significant performance-based bonus.
• This role in Randburg provides unparalleled opportunities for professional growth, exposure to leading-edge technologies, and the chance to make a tangible impact on drug development.
• We foster a culture of innovation and collaboration, with ample support for continuous learning and development.