Senior Data Scientist - Pharmaceutical Analytics (Remote)

Placements24; Pretoria; Híbrido; ZAR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Placements24 is seeking a Senior Data Scientist to lead advanced analytics initiatives from a remote South Africa base. You will design and validate statistical models, analyze diverse datasets from clinical trials, manufacturing, and sales, and translate findings for business stakeholders.

You will build predictive models for drug efficacy and market trends, run experiments, and mentor junior data scientists.

Formación

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a focus on statistical modeling and machine learning.
• Proven experience applying data science techniques within the pharmaceutical or healthcare industry is highly preferred.
• Proficiency in programming languages such as Python or R, and experience with libraries such as scikit-learn, TensorFlow, PyTorch.
• Strong experience with SQL and working with large databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent understanding of statistical concepts, experimental design, and hypothesis testing.
• Ability to communicate complex technical concepts effectively to diverse audiences.
• Demonstrated ability to work independently and manage projects in a remote environment.
• Strong problem-solving skills and a proactive approach to identifying opportunities for data-driven improvements.

Responsabilidades

• Develop, implement, and validate advanced statistical models and machine learning algorithms for pharmaceutical data.
• Analyze large datasets from various sources, including clinical trials, real-world evidence, manufacturing, and sales data.
• Identify key trends, patterns, and anomalies, and translate them into meaningful insights for business stakeholders.
• Build predictive models for areas such as drug efficacy, patient outcomes, market trends, and operational efficiency.
• Design and execute A/B tests and other experiments to evaluate hypotheses and inform strategy.
• Collaborate closely with domain experts to understand their needs and deliver data-driven solutions.
• Develop clear and concise data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development and maintenance of data science infrastructure and best practices.
• Mentor junior data scientists and contribute to a culture of data-driven decision-making.

Conocimientos

Python

R

SQL

Machine Learning

Statistical Modeling

Data Visualization

Educación

Master's or PhD in Data Science/Statistics/Computer Science/Mathematics

Herramientas

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Descripción del empleo

About the Role

Our client, a global leader in pharmaceutical innovation, is seeking a highly skilled Senior Data Scientist to join their advanced analytics division. This is a fully remote position, offering the opportunity to work from anywhere within South Africa . The Senior Data Scientist will be instrumental in harnessing large, complex datasets to derive actionable insights that drive critical business decisions across R&D, manufacturing, and commercial operations. You will leverages cutting-edge statistical modeling, machine learning, and data mining techniques to uncover patterns, predict trends, and optimize processes. This role is ideal for an analytical expert passionate about applying advanced data science methodologies in a challenging and impactful pharmaceutical setting. As a remote-first role, strong communication and collaboration skills are paramount.

Key Responsibilities

• Develop, implement, and validate advanced statistical models and machine learning algorithms for pharmaceutical data.
• Analyze large datasets from various sources, including clinical trials, real-world evidence, manufacturing, and sales data.
• Identify key trends, patterns, and anomalies, and translate them into meaningful insights for business stakeholders.
• Build predictive models for areas such as drug efficacy, patient outcomes, market trends, and operational efficiency.
• Design and execute A/B tests and other experiments to evaluate hypotheses and inform strategy.
• Collaborate closely with domain experts (e.g., statisticians, biologists, clinicians, business analysts) to understand their needs and deliver data-driven solutions.
• Develop clear and concise data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development and maintenance of data science infrastructure and best practices.
• Mentor junior data scientists and contribute to a culture of data-driven decision-making.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a focus on statistical modeling and machine learning.
• Proven experience applying data science techniques within the pharmaceutical or healthcare industry is highly preferred.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and working with large databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent understanding of statistical concepts, experimental design, and hypothesis testing.
• Ability to communicate complex technical concepts effectively to diverse audiences.
• Demonstrated ability to work independently and manage projects in a remote environment.
• Strong problem-solving skills and a proactive approach to identifying opportunities for data-driven improvements.

Benefits

This fully remote position offers a highly competitive salary, comprehensive health and wellness benefits, including medical, dental, and vision coverage, a generous retirement savings plan with company match, and ample paid time off. Our client invests in employee growth through continuous learning opportunities, access to online courses, and support for attending virtual conferences. The flexibility of a remote-first work environment is a key benefit, promoting work-life balance.