Senior Pharmaceutical Data Analyst

Placements24; Southampton; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Fully remote work

Flexible working hours

Job summary

Placements24 is seeking a highly analytical Senior Pharmaceutical Data Analyst to join a fully remote team. You will collect, clean, analyze, and interpret large datasets from clinical trials, manufacturing, and R&D to drive strategic decisions.

The role emphasizes statistical modeling, machine learning, and data visualization, with collaboration across time zones. A Master’s or PhD in a quantitative field and 5+ years of pharma data experience are required.

Qualifications

• Master's or PhD in Statistics, Data Science, CS, Mathematics, or related field.
• ≥5 years of data analysis experience, preferably pharma/biotech.
• Proficiency in Python or R; SQL; data visualization tools.

Responsibilities

• Collect and analyze large datasets from clinical trials, sales, manufacturing, and R&D.
• Develop statistical models and ML algorithms to identify patterns and optimize processes.
• Create data visualizations and reports for technical and non-technical audiences.
• Define KPIs and develop dashboards to track business objectives.
• Collaborate with cross-functional teams and ensure data integrity and privacy compliance.

Skills

Statistical analysis

Python

R

SQL

Data visualization

Tableau

Power BI

Remote work

Education

Master's degree in Statistics/Data Science

PhD in Statistics/Data Science

Tools

SQL databases

Tableau

Power BI

Job description

Our client is seeking a highly analytical and experienced Senior Pharmaceutical Data Analyst to join their remote-based team. This role is pivotal in leveraging data to drive strategic decision-making across various pharmaceutical functions, including R&D, clinical trials, manufacturing, and market access. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets to uncover trends, identify opportunities, and provide actionable insights. Working entirely remotely, you will collaborate with stakeholders across different departments and time zones, utilizing advanced analytical tools and methodologies. This is an excellent opportunity for a data professional passionate about the pharmaceutical industry to contribute to significant projects and shape data-driven strategies.

Key Responsibilities

• Collect, aggregate, and analyze large datasets from diverse sources, including clinical trials, sales, manufacturing, and R&D.
• Develop and implement statistical models and machine learning algorithms to identify patterns, predict outcomes, and optimize processes.
• Create compelling data visualizations and reports to communicate complex findings clearly to both technical and non-technical audiences.
• Identify key performance indicators (KPIs) and develop dashboards to track progress towards business objectives.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Ensure data integrity, accuracy, and compliance with relevant data privacy regulations.

Requirements

• Master's degree or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, preferably within the pharmaceutical or biotech industry.
• Proficiency in statistical programming languages such as Python (Pandas, NumPy, Scikit-learn) or R.
• Experience with SQL and database management.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and techniques.
• Strong analytical, problem-solving, and communication skills, with the ability to work independently in a remote setting.

Benefits

• Highly competitive annual salary and performance-based bonuses.
• Fully remote work environment with flexibility in working hours.
• Comprehensive health, dental, and vision insurance.
• Generous stock options or equity grants.
• Professional development budget for training, certifications, and conferences.