Remote Senior Pharmaceutical Data Scientist

Placements24; Sandton; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Competitive salary

Professional development opportunities

Descripción de la vacante

Placements24 is seeking a Remote Senior Pharmaceutical Data Scientist to lead advanced analytics in drug discovery and development from anywhere in South Africa. You will extract insights from complex biological data, build predictive models, and drive data-driven decisions within research teams.

The role requires a PhD or Master’s in a quantitative field and 5–7 years of data science experience with pharma datasets.

Formación

• PhD or Master’s in a quantitative field required.
• 5–7 years of hands-on data science with ML and statistical modeling.
• Experience with pharma/biomedical datasets.
• Proficiency in Python or R and ML libraries.

Responsabilidades

• Develop and implement advanced statistical models and ML algorithms on pharmaceutical datasets.
• Design data mining strategies to identify biomarkers or targets.
• Build predictive models for efficacy, toxicity, and patient stratification.
• Collaborate with scientists to define research questions and analyses.
• Develop robust data pipelines and reproducible workflows.
• Communicate findings to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to a data science culture.
• Ensure data privacy, integrity, and regulatory compliance.

Conocimientos

Python

R

Machine learning

Statistics

Data mining

Educación

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

Herramientas

scikit-learn

TensorFlow

PyTorch

pandas

NumPy

AWS

Descripción del empleo

About the Role

Our client, a leader in pharmaceutical innovation, is actively recruiting for a highly skilled and motivated Remote Senior Pharmaceutical Data Scientist. This is a fully remote position, allowing you to contribute your expertise from anywhere in South Africa, focusing on advanced data analysis and machine learning applications within drug discovery and development. You will play a crucial role in extracting actionable insights from complex biological and clinical datasets, building predictive models, and driving data-driven decision-making across research teams. The ideal candidate possesses a strong quantitative background, extensive experience in machine learning, statistical modeling, and a deep understanding of pharmaceutical or biomedical data. This role offers an exciting opportunity to work on cutting-edge research, collaborate with world-class scientists, and make a significant impact on the future of medicine. We seek a proactive individual who thrives in a remote setting and can effectively translate complex data into strategic scientific advancements.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyze large-scale pharmaceutical and biological datasets (e.g., genomics, proteomics, clinical trial data, real-world evidence).
• Design and execute data mining strategies to uncover novel insights and identify potential drug targets or biomarkers.
• Build predictive models for drug efficacy, toxicity, patient stratification, and clinical trial success.
• Collaborate closely with medicinal chemists, biologists, clinicians, and other data scientists to define research questions and analytical approaches.
• Develop and maintain robust data pipelines and workflows for data processing and analysis.
• Visualize complex data and communicate findings effectively to both technical and non-technical stakeholders through reports and presentations.
• Stay abreast of the latest advancements in data science, machine learning, AI, and their applications in the pharmaceutical industry.
• Contribute to the development of data strategies and best practices within the organization.
• Mentor junior data scientists and contribute to a collaborative and innovative data science culture.
• Ensure data integrity, reproducibility, and compliance with relevant data privacy regulations.
• Identify and implement novel computational approaches to solve challenging scientific problems.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Bioinformatics, Computational Biology, or a related quantitative field.
• A minimum of 5-7 years of hands-on experience in data science, with a significant focus on machine learning and statistical modeling.
• Proven experience working with pharmaceutical, biomedical, or clinical datasets.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong knowledge of statistical methods, experimental design, and hypothesis testing.
• Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP) is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Demonstrated ability to work independently and manage projects effectively in a remote environment.
• Experience in scientific visualization tools is a plus.
• Understanding of drug discovery and development processes is highly advantageous.

Benefits

Our client offers a highly competitive salary, comprehensive benefits package, and the flexibility of a fully remote working arrangement. This role provides an unparalleled opportunity for professional growth and impact within a leading pharmaceutical research organization. Employees benefit from a stimulating virtual environment, access to cutting-edge computational tools and datasets, and the chance to contribute to life-changing scientific breakthroughs. We foster a culture of innovation, collaboration, and continuous learning, supporting our remote workforce with the resources needed to excel.