Remote Pharmaceutical Data Scientist

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Home office stipend

Health, dental, and vision insurance

Retirement savings plan with company 3

Learning and conference opportunities

Job summary

Placements24 is seeking a Remote Pharmaceutical Data Scientist to support Mossel Bay operations. Lead advanced statistical modeling, ML, and data mining on drug development, clinical trials, and market trends to drive data-informed decisions.

The role requires 5+ years in pharma/healthcare data, proficiency in Python or R, and strong visualization with Tableau/Power BI. Remote work with a focus on cross-functional collaboration and delivering scalable data solutions.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist in pharmaceutical or healthcare data.
• Proficiency in Python or R with data manipulation libraries (Pandas, NumPy).
• Strong knowledge of statistical modeling, ML techniques, and data mining.
• Experience with data visualization tools (Tableau, Power BI) and SQL.

Responsibilities

• Develop and implement statistical models and ML algorithms for pharmaceutical/healthcare data.
• Clean, transform, and prepare diverse datasets for analysis; ensure data quality.
• Identify trends and correlations to support drug discovery, trials, and market analysis.
• Design and conduct A/B tests and experiments to evaluate strategies.
• Create visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Collaborate with bioinformaticians, statisticians, and business stakeholders to deliver data-driven solutions.

Skills

Statistical modeling

Machine learning

Data analysis

Data cleaning

Communication

Education

Master's or PhD in Data Science, Statistics, CS, Bioinformatics or related field

Tools

Python

R

Pandas

NumPy

Tableau

Power BI

SQL

Job description

About the Role

Our client is looking for a talented Remote Pharmaceutical Data Scientist to join their innovative team, supporting operations across the Mossel Bay region. In this crucial role, you will leverage advanced statistical modeling, machine learning, and data mining techniques to extract actionable insights from complex datasets related to drug development, clinical trials, and market trends. You will work closely with cross-functional teams to drive data-informed decision-making and accelerate the discovery and commercialization of new therapies. This is an exceptional opportunity for a data-savvy professional who thrives in a remote environment and is passionate about applying cutting-edge analytical methods to solve critical challenges in the pharmaceutical industry.

Key Responsibilities

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze large-scale pharmaceutical and healthcare data.
• Clean, transform, and prepare diverse datasets for analysis, ensuring data integrity and quality.
• Identify trends, patterns, and correlations in data to support drug discovery, clinical trial optimization, and market analysis.
• Design and conduct A/B tests and other experiments to evaluate the impact of new strategies or interventions.
• Create compelling data visualizations and dashboards to communicate complex findings to both technical and non-technical stakeholders.
• Collaborate with bioinformaticians, statisticians, and business stakeholders to define project requirements and deliver data-driven solutions.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist, with a significant focus on pharmaceutical or healthcare data.
• Proficiency in programming languages such as Python or R, and expertise in data manipulation libraries (e.g., Pandas, NumPy).
• Strong knowledge of statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and data mining principles.
• Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL).

Benefits

• Highly competitive salary and performance-based bonuses.
• Remote work flexibility with a home office stipend.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Opportunities for continuous learning, professional development, and attending leading data science conferences.