Data Analyst

Quotient Sciences: Molecule to Cure. Fast.

Quotient Sciences is a leading drug development and manufacturing accelerator, helping biotech and pharma companies bring new medicines to patients faster. With over 35 years of experience and a track record of success, we provide Drug Product (CDMO) and Clinical (CRO) services across the entire development pathway, including formulation development, clinical pharmacology, clinical trials, and commercial product manufacturing.

Our proprietary and disruptive platform – “Translational Pharmaceutics®” – integrates Drug Product Manufacturing and Clinical Testing to eliminate silos in the drug development process. This in turn reduces costs, improves outcomes, and significantly accelerates drug development times.

Why join us: Because every day counts when bringing new medicines to patients. Our 1,000+ experts across the US, UK, and beyond are united by science, agility, and a culture that turns ideas into impact—fast.

About the Role

We are looking for a highly skilled and motivated Data Analyst to join our team. This role is perfect for someone who thrives on turning complex data into actionable insights, building predictive models, and driving innovation through advanced analytics and AI technologies.

Key Responsibilities
Data Analysis

• Analyse data trends, patterns, and anomalies using statistical techniques to derive meaningful insights.

Reporting

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• Develop advanced dashboards in Tableau and create powerful data visualisations to communicate findings.
  
• Build robust, automated reporting processes to deliver timely, accurate, and reliable management information.
  
• Utilise machine learning, NLP, Generative AI, and advanced statistical methods to build predictive and descriptive models.
  
• Validate and refine models for accuracy and reliability.
  
• Collaborate with Data Science and Engineering teams to deploy predictive models.
  

Business Engagement & Collaboration

• Partner with cross-functional teams to identify business needs and provide analytical support for decision‑making.

Performance Monitoring

• Track KPIs and provide recommendations to improve business outcomes.

Financial Planning & Analysis Support

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• Support budgeting, forecasting, and long‑range planning.
  
• Integrate AI‑driven solutions into financial reporting and BI platforms; explore automation of repetitive tasks.
  
• Prepare and present financial reports and recommendations to senior management.
  
• Stay current with data analytics, modelling techniques, and reporting tools.
  
• Drive a data‑led culture and advise on how data can improve business initiatives and deliver commercial value.
  

Essential Technical Skills

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• Strong experience creating Management Information and technical presentations.
  
• Proven track record of advanced dashboard development in Tableau.
  
• Proficient in SQL and/or Python for data analysis.
  
• Deep understanding of data warehousing principles in cloud technologies (e.g., AWS Data Stack).
  
• Ability to manipulate and analyse complex datasets (structured and unstructured).
  
• Familiarity with Generative AI tools and techniques.
  
• Understanding of predictive modelling and integration of AI‑driven solutions into reporting platforms.
  
• Excellent communication and presentation skills for technical and non‑technical audiences.
  
• Highly organised, delivery-focused, and deadline‑driven.
  
• Strong commercial awareness and ability to see the bigger picture.
  
• Adaptable, proactive, and comfortable in fast‑paced environments.
  
• Applied knowledge of Agile frameworks (Kanban, Scrum) and roadmap tools (e.g., Jira).
  
• Inquisitive, detail‑oriented, and eager to learn new tools and AI/data science concepts.
  
• Commitment to ethical AI use and data privacy.
  
• Collaborative team player with strong relationship‑building skills.
  
• Knowledge of the pharmaceutical industry and associated data.
  
• Experience building data pipelines and ETL (AWS, Alteryx, Tableau Prep).
  
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
  
• Understanding of MLOps practices.
  
• Familiarity with data governance and data quality frameworks.
  

Application Requirements

When applying for a position with Quotient Sciences to be able to work in our organization you must be aged 18 years or over and not have been debarred by the FDA. If you indicate you are under the age of 18 or have been debarred then your application will be automatically declined.

Our Commitment to Diversity, Equity and Inclusion

Quotient Sciences are advocates for positive change and conscious inclusion. We strive to create a diverse Quotient workforce and develop a workplace culture that provides a sense of acceptance for every person within our organization. As a global employer, we recognize the value in having an organization that is a true reflection and representation of our society today.

Specifically we will not discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws.

This applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination.