Remote Pharmaceutical Data Scientist

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Remote work

Job summary

Placements24 is seeking a skilled Remote Pharmaceutical Data Scientist to drive insights from clinical, genomic, and real-world data. You will design models, run analyses, and collaborate with cross-functional teams to accelerate drug discovery and trial optimization.

You will employ Python or R, work with ML libraries, and contribute to data governance while communicating complex results to stakeholders in a fully remote role.

Qualifications

• Master’s or PhD in a quantitative field such as Data Science, Statistics, CS or Bioinformatics.
• 5+ years applying data science and ML in pharma/biotech.
• Strong Python or R with relevant libraries.

Responsibilities

• Develop and implement statistical models and ML algorithms for pharmaceutical data.
• Design exploratory analyses to identify trends and biomarkers for efficacy and safety.
• Build predictive models to forecast responses and optimize trial design.
• Collaborate with bioinformatics and computational biology teams to integrate data sources.
• Develop dashboards to communicate findings to technical and non-technical stakeholders.
• Contribute to data governance and ensure data integrity in a remote setup.

Skills

Python

R programming

Statistical modelling

Machine learning

SQL

NoSQL databases

Data visualization

Education

Masters or PhD in Data Science or related

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is pioneering advancements in pharmaceutical research and development and is seeking a highly skilled Remote Pharmaceutical Data Scientist . This role is fully remote, allowing you to contribute from anywhere. You will leverage cutting-edge data science techniques to extract insights from vast datasets, accelerating drug discovery, clinical trial optimization, and real-world evidence generation. You will work with cross-functional teams of scientists, statisticians, and clinicians to drive data-informed decision-making. This is an exceptional opportunity for a data-savvy professional passionate about transforming healthcare through data, working remotely for a company committed to innovation.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze complex pharmaceutical data, including clinical trial data, genomic data, and real-world data.
• Design and conduct exploratory data analyses to identify trends, patterns, and potential biomarkers related to drug efficacy and safety.
• Build predictive models to forecast patient response, identify patient stratification strategies, and optimize clinical trial design.
• Collaborate with bioinformatics and computational biology teams to integrate diverse data sources and generate actionable insights.
• Develop data visualization tools and dashboards to effectively communicate complex findings to both technical and non-technical stakeholders.
• Contribute to the development of data governance strategies and ensure data integrity and security in a remote working environment.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Proven experience (5+ years) in applying data science and machine learning techniques within the pharmaceutical or biotechnology industry.
• Strong programming skills in Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, predictive analytics, and data mining techniques.
• Experience with handling large-scale datasets and proficiency in SQL or NoSQL databases.
• Excellent communication and collaboration skills, with the ability to work effectively in a distributed team.

Benefits

• Highly competitive salary commensurate with experience and expertise.
• Comprehensive remote work benefits package, including health insurance and retirement contributions.
• Flexible working hours and the ability to work from home full-time.
• Access to advanced computational resources and cloud platforms.
• Opportunities to work on groundbreaking pharmaceutical research projects and contribute to scientific publications.