3 Senior Pharmaceutical Data Analyst jobs in whatjobs

Senior Pharmaceutical Data Analyst

00200 Gathiruini KES200000 Annually WhatJobs

Posted 17 days ago

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Job Description

full-time
Our client, a leading pharmaceutical company, is seeking a highly skilled Senior Pharmaceutical Data Analyst to join their team. This hybrid role offers a dynamic blend of remote work flexibility and in-office collaboration, focusing on leveraging vast datasets to drive critical insights in drug development, clinical trials, and market analysis. You will play a crucial role in transforming complex pharmaceutical data into actionable intelligence that informs strategic decision-making across research, development, and commercial operations.

Your responsibilities will include collecting, cleaning, and analyzing large and complex datasets related to clinical trials, patient outcomes, pharmaceutical sales, and market trends. You will design and develop statistical models, predictive analytics, and data visualizations to identify patterns, trends, and correlations. A key part of this role involves interpreting results and communicating findings clearly and concisely to cross-functional teams, including researchers, clinicians, and marketing professionals. You will contribute to the design and monitoring of clinical trials by providing data-driven insights into patient recruitment, efficacy, and safety. You will also perform market analysis to identify opportunities and competitive threats, and assist in forecasting drug performance and market share. Maintaining data integrity and ensuring compliance with pharmaceutical industry regulations (e.g., GxP, HIPAA) is paramount. You will also be responsible for creating comprehensive reports and dashboards to track key performance indicators and provide ongoing insights to stakeholders. Staying current with the latest advancements in pharmaceutical data science, analytical techniques, and relevant technologies is essential.

Qualifications:
  • Master's degree or PhD in Statistics, Biostatistics, Data Science, Bioinformatics, or a related quantitative field.
  • Minimum of 6 years of experience in data analysis, with at least 3 years specifically within the pharmaceutical or biotechnology industry.
  • Proven expertise in statistical modeling, machine learning, and data mining techniques.
  • Proficiency in programming languages such as R, Python, or SAS.
  • Strong experience with SQL and database management.
  • Familiarity with clinical trial data management and analysis (e.g., EDC systems, CDISC standards).
  • Excellent data visualization skills using tools like Tableau, Power BI, or similar.
  • Deep understanding of pharmaceutical drug development lifecycle and regulatory landscape.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent written and verbal communication skills, with the ability to present complex information to diverse audiences.
  • Experience working in a hybrid work environment.
This exciting opportunity is based near Mlolongo, Machakos, KE , offering a rewarding career path in the pharmaceutical sector with the benefits of a hybrid work model.
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Senior Pharmaceutical Data Analyst

00400 Ngong KES8000000 Annually WhatJobs

Posted 18 days ago

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Job Description

full-time
Our client is seeking a highly skilled and experienced Senior Pharmaceutical Data Analyst to join their dynamic, fully remote team. This role is critical in leveraging data to drive insights and decision-making within the pharmaceutical sector. You will be responsible for collecting, analyzing, and interpreting complex datasets related to drug development, clinical trials, market trends, and patient outcomes. Your analytical expertise will directly contribute to optimizing research and development, improving patient care, and enhancing overall business strategy.

Responsibilities:
  • Analyze large and complex pharmaceutical datasets, including clinical trial data, real-world evidence, sales data, and market intelligence.
  • Develop and implement statistical models to identify trends, predict outcomes, and assess the efficacy and safety of pharmaceutical products.
  • Generate comprehensive reports and visualizations that clearly communicate findings to scientific, commercial, and executive teams.
  • Collaborate closely with cross-functional teams, including R&D, clinical operations, marketing, and regulatory affairs, in a remote capacity.
  • Identify opportunities for data-driven improvements in drug discovery, clinical trial design, patient recruitment, and market access strategies.
  • Ensure data integrity, accuracy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).
  • Stay current with advancements in pharmaceutical data analysis, bioinformatics, and relevant statistical methodologies.
  • Design and execute ad-hoc analyses to address specific business questions and research inquiries.
  • Develop and maintain data dictionaries, data quality checks, and analytical documentation.
  • Mentor junior analysts and contribute to the development of data analytics capabilities within the organization.

Qualifications:
  • Master's or Ph.D. degree in Statistics, Biostatistics, Bioinformatics, Data Science, Pharmacy, or a related quantitative field.
  • Minimum of 6 years of experience in data analysis within the pharmaceutical or biotechnology industry.
  • Proven experience with statistical analysis software (e.g., R, SAS, SPSS) and data manipulation techniques.
  • Proficiency in SQL for database querying and management.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and techniques.
  • Strong understanding of pharmaceutical research and development processes, clinical trials, and regulatory landscape.
  • Excellent analytical, critical thinking, and problem-solving skills.
  • Exceptional communication and presentation skills, with the ability to explain complex data insights to diverse audiences.
  • Demonstrated ability to work independently and collaboratively in a fully remote team environment.
  • High attention to detail and commitment to data accuracy and integrity.

This is an outstanding opportunity for an experienced pharmaceutical data analyst to contribute significantly to groundbreaking work, leveraging advanced analytics in a fully remote and flexible work environment.
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Senior Pharmaceutical Data Analyst

20100 Mwembe KES110000 Annually WhatJobs

Posted 2 days ago

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Job Description

full-time
Our client, a global leader in pharmaceutical research and development, is seeking a highly skilled and analytical Senior Pharmaceutical Data Analyst to join our fully remote operations. In this critical role, you will be instrumental in analyzing complex datasets related to clinical trials, drug efficacy, patient outcomes, and market trends. Your primary responsibility will be to extract meaningful insights, identify patterns, and provide data-driven recommendations that will inform strategic decision-making across R&D, marketing, and regulatory affairs. You will work with vast amounts of data, employing advanced statistical methods and machine learning techniques to uncover critical information. This position requires a robust understanding of pharmaceutical processes, regulatory environments, and data visualization tools. Your duties will include designing and implementing data models, developing dashboards and reports for various stakeholders, and ensuring data integrity and accuracy. The ideal candidate possesses a strong quantitative background, exceptional problem-solving skills, and the ability to communicate complex findings clearly and concisely to both technical and non-technical audiences. Proficiency in data analysis software such as R, Python (with libraries like Pandas and NumPy), SQL, and data visualization tools like Tableau or Power BI is essential. Experience with electronic health records (EHR) data or clinical trial management systems (CTMS) is highly desirable. This fully remote role offers the opportunity to contribute significantly to the advancement of healthcare solutions, working independently and collaboratively with a dedicated team of experts. You must be a self-starter, highly organized, and committed to maintaining the highest standards of data analysis and ethical conduct in a remote work environment.
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