Pharmaceutical Data Analyst

6 days ago

Cambridge, Cambridgeshire, United Kingdom Unreal Gigs Full time
Unlock the Power of Pharmaceutical Data

At Unreal Gigs, we're seeking a skilled Pharmaceutical Data Analyst to join our team. As a key member of our data analytics team, you'll play a crucial role in helping us make informed decisions that drive the development of life-saving treatments.

Key Responsibilities:

  1. Analyze Clinical Trial Data:
  • Perform in-depth analyses of clinical trial data to assess the safety, efficacy, and performance of new drugs and treatments.
Support Drug Development with Data Insights:
  • Provide data-driven insights that support decision-making throughout the drug development process, from discovery to preclinical trials to post-market surveillance.
Collaborate with Cross-Functional Teams:
  • Work closely with clinical researchers, pharmacologists, and biostatisticians to ensure data analysis aligns with project goals.
Perform Market Analysis for Pharmaceutical Products:
  • Analyze market data to assess the competitive landscape, forecast demand for new drugs, and identify potential risks and opportunities.
Ensure Compliance with Regulatory Standards:
  • Ensure all data analysis and reporting meet industry regulations, such as FDA guidelines, EMA standards, or ICH guidelines.
Develop Predictive Models and Data Dashboards:
  • Build predictive models and data visualization dashboards that support pharmaceutical development, patient outcomes, and business performance.
Contribute to Real-World Evidence Studies:
  • Assist in real-world evidence (RWE) studies by analyzing health outcomes data from diverse sources, including patient registries, electronic health records, and insurance claims.

Requirements:

  • Pharmaceutical Data Analysis Expertise: Strong experience in analyzing clinical trial data, drug efficacy studies, or real-world evidence.
  • Statistical and Analytical Skills: Expertise in statistical analysis, including the use of software tools like SAS, R, Python, or SQL for analyzing large datasets.
  • Regulatory Knowledge: Familiarity with regulatory requirements for pharmaceutical data, including FDA, EMA, and ICH guidelines.
  • Data Visualization and Reporting: Proficiency in creating data visualizations and dashboards using tools like Tableau, Power BI, or Excel.
  • Collaboration and Communication: Strong collaboration skills with the ability to work with cross-functional teams, including clinical researchers, biostatisticians, and product managers.

Educational Requirements:

  • Bachelor's or Master's degree: In Data Science, Biostatistics, Pharmaceutical Sciences, or a related field.
  • Certifications or additional coursework: In pharmaceutical data analysis, clinical trial management, or health informatics are a plus.

Experience Requirements:

  • 3+ years of experience: In pharmaceutical data analysis, with hands-on experience working with clinical trial data, drug development processes, or market analysis.
  • Experience with statistical software: Such as SAS, R, or Python for analyzing clinical and pharmaceutical data.
  • Experience working in regulated environments: Such as FDA or EMA is highly desirable.

Benefits:

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.

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