14 Remote Pharmaceutical Data Analyst jobs in whatjobs
Remote Pharmaceutical Data Analyst
Posted 19 days ago
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Remote Pharmaceutical Data Analyst
Posted 19 days ago
Job Viewed
Job Description
The ideal candidate will have a strong background in data analysis, statistical modeling, and a solid understanding of the pharmaceutical industry, including drug development processes, clinical trials, and regulatory requirements. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to drug efficacy, safety, market trends, and operational efficiency. Proficiency in data analysis software and a keen eye for detail are essential.
Key Responsibilities:
- Collect, clean, and preprocess large datasets from various pharmaceutical sources (e.g., clinical trials, R&D, market research, sales data).
- Perform statistical analysis to identify trends, patterns, and correlations in pharmaceutical data.
- Develop and implement data models to forecast drug performance, efficacy, and safety profiles.
- Generate reports and visualizations that clearly communicate complex analytical findings to stakeholders.
- Collaborate with R&D, clinical operations, and marketing teams to provide data-driven insights.
- Ensure data accuracy, integrity, and compliance with regulatory standards (e.g., GCP, GxP).
- Identify opportunities for process improvements in data collection and analysis.
- Stay current with industry trends, scientific literature, and advancements in pharmaceutical data analysis.
- Assist in the design of experiments and clinical trial data collection strategies.
- Contribute to the development of dashboards and data tools for business intelligence.
- Bachelor's or Master's degree in Statistics, Mathematics, Bioinformatics, Pharmacology, or a related quantitative field.
- Minimum of 5 years of experience as a data analyst, with a significant focus on the pharmaceutical or healthcare industry.
- Strong proficiency in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy).
- Experience with database management and SQL.
- Familiarity with clinical trial phases and regulatory guidelines in the pharmaceutical sector.
- Excellent data visualization skills using tools such as Tableau, Power BI, or Matplotlib.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and collaboratively in a remote team environment.
- High attention to detail and commitment to data accuracy.
- Must have a reliable internet connection and a dedicated home office setup.
Remote Pharmaceutical Data Analyst
Posted 19 days ago
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Job Description
Key Responsibilities:
- Collect, clean, and manage large datasets from various pharmaceutical sources.
- Perform statistical analysis to identify trends, patterns, and correlations in drug efficacy and safety data.
- Develop and maintain data models and databases for pharmaceutical research and development.
- Create compelling data visualizations and dashboards to communicate findings effectively.
- Generate regular reports on key performance indicators for clinical trials, manufacturing, and market trends.
- Collaborate with research scientists, clinicians, and regulatory affairs teams to understand data needs.
- Ensure data accuracy, integrity, and compliance with relevant regulations (e.g., GDPR, HIPAA).
- Contribute to the development of predictive models for drug discovery and patient outcomes.
- Stay current with advancements in data analysis techniques and pharmaceutical data standards.
- Present analytical findings and recommendations to diverse audiences.
Qualifications:
- Master's degree in Statistics, Data Science, Bioinformatics, Pharmaceutical Sciences, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, specifically within the pharmaceutical or healthcare industry.
- Proficiency in SQL for data extraction and manipulation.
- Strong programming skills in Python or R for statistical analysis and data modeling.
- Experience with statistical software packages (e.g., SAS, SPSS, JMP).
- Familiarity with clinical trial data (e.g., CDISC standards) is a significant advantage.
- Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Strong understanding of pharmaceutical research, development, and regulatory processes.
- Exceptional analytical, critical thinking, and problem-solving abilities.
- Ability to work independently, manage deadlines, and communicate effectively in a remote environment.
Remote Pharmaceutical Data Analyst
Posted 18 days ago
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Responsibilities:
- Collect, clean, and process large pharmaceutical datasets from various sources.
- Perform statistical analysis on clinical trial data, pre-clinical results, and real-world evidence.
- Identify trends, patterns, and anomalies in pharmaceutical data to inform research and development.
- Develop and implement data models and algorithms for predictive analysis.
- Create clear and concise visualizations and reports for scientific and non-scientific audiences.
- Collaborate with researchers, biostatisticians, and clinicians to interpret data and draw conclusions.
- Ensure data integrity, accuracy, and compliance with relevant regulations (e.g., GCP, GxP).
- Support the preparation of data for regulatory submissions and publications.
- Stay updated on advancements in data analytics, bioinformatics, and pharmaceutical sciences.
- Contribute to the continuous improvement of data management and analysis processes.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related quantitative field.
- Proven experience in data analysis, preferably within the pharmaceutical or biotechnology industry.
- Strong proficiency in statistical software packages (e.g., R, SAS, SPSS) and programming languages (e.g., Python).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Understanding of clinical trial phases, pharmaceutical development processes, and regulatory requirements.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Familiarity with databases and SQL.
- A secure and reliable home office environment with high-speed internet.
Remote Pharmaceutical Data Analyst
Posted 17 days ago
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Your core responsibilities will include:
- Collecting, cleaning, and validating large datasets from various pharmaceutical research sources.
- Performing statistical analysis using appropriate software (e.g., R, SAS, Python) to identify trends, patterns, and significant findings.
- Developing and implementing data visualization strategies to effectively communicate complex results to diverse audiences, including researchers and regulatory bodies.
- Collaborating closely with R&D teams, clinical operations, and regulatory affairs departments to provide data-driven support.
- Generating reports, summaries, and presentations based on analytical findings.
- Ensuring data integrity, accuracy, and compliance with regulatory guidelines (e.g., GCP, ICH).
- Designing and validating data models and algorithms for predictive analytics and forecasting.
- Staying abreast of the latest advancements in pharmaceutical data analysis techniques and technologies.
- Contributing to the development of data management plans and standard operating procedures.
- Interpreting results in the context of drug efficacy, safety, and market potential.
The ideal candidate will hold a Master's degree or PhD in Biostatistics, Statistics, Bioinformatics, or a related quantitative field, with a minimum of 5 years of experience in pharmaceutical data analysis. Proficiency in statistical programming languages and database management is crucial. Experience with clinical trial data management and regulatory submissions is highly advantageous. Strong analytical, problem-solving, and communication skills are essential for translating complex data into actionable insights. This is a fully remote position, offering the flexibility to work from anywhere while contributing to significant advancements in the pharmaceutical industry, with a focus on operations in Kitale, Trans-Nzoia, KE .
Remote Pharmaceutical Data Analyst
Posted 10 days ago
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Responsibilities:
- Collect, clean, and organize large datasets from clinical trials, R&D, sales, and market research.
- Perform statistical analysis to identify trends, patterns, and insights related to drug performance and patient populations.
- Develop and maintain dashboards and reports to visualize key performance indicators for R&D, clinical operations, and commercial teams.
- Collaborate with cross-functional teams, including scientists, clinicians, and marketing specialists, to understand data requirements.
- Assist in the interpretation of clinical trial results and contribute to regulatory submission documentation.
- Identify opportunities for process improvements in data collection and analysis.
- Ensure data integrity, accuracy, and adherence to pharmaceutical industry standards and regulations.
- Stay updated on relevant scientific literature and industry best practices in data analysis.
- Translate complex data findings into clear, actionable recommendations for stakeholders.
- Bachelor's degree in Statistics, Bioinformatics, Data Science, Pharmacy, or a related quantitative field.
- Proven experience in data analysis, preferably within the pharmaceutical or healthcare industry.
- Proficiency in statistical software packages (e.g., R, SPSS, SAS) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of clinical trial processes and pharmaceutical R&D lifecycles.
- Knowledge of regulatory requirements (e.g., FDA, EMA guidelines) is a plus.
- Excellent analytical skills and attention to detail.
- Strong problem-solving abilities and the capacity to work independently.
- Effective communication and interpersonal skills.
- Familiarity with database management and SQL.
- A passion for improving healthcare outcomes through data insights.
Remote Pharmaceutical Data Analyst
Posted 5 days ago
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Remote Pharmaceutical Data Analyst
Posted 18 days ago
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Remote Pharmaceutical Data Analyst
Posted 18 days ago
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Remote Pharmaceutical Data Analyst
Posted 16 days ago
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Job Description
Responsibilities:
- Collect, clean, and process large datasets from various pharmaceutical sources, including clinical trials, laboratory experiments, and manufacturing processes.
- Apply statistical methods and data mining techniques to identify significant trends, patterns, and anomalies.
- Develop and implement data models to support drug discovery, efficacy assessment, and safety profiling.
- Visualize data using dashboards and reports to communicate complex findings to scientific and management teams.
- Collaborate with research scientists, chemists, biologists, and clinicians to understand data requirements and interpret results.
- Design and analyze experiments, including pre-clinical studies and clinical trial data, to evaluate drug candidates.
- Monitor the quality and integrity of data throughout the research and development pipeline.
- Contribute to the development of predictive models for patient response, drug efficacy, and potential adverse events.
- Stay current with advancements in pharmaceutical data analysis, bioinformatics, and relevant computational tools.
- Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and Good Clinical Practice (GCP).
- Develop and maintain documentation for data analysis methodologies and findings.
- Participate actively in remote team meetings, scientific discussions, and cross-functional projects.
- Identify opportunities to improve data collection, management, and analysis processes.
- Generate reports and present findings to key stakeholders, facilitating informed decision-making.
Qualifications:
- MSc or PhD in Data Science, Statistics, Bioinformatics, Computational Biology, Pharmacology, or a related quantitative field.
- Minimum of 5 years of experience in data analysis within the pharmaceutical or biotechnology industry.
- Strong proficiency in statistical programming languages such as R or Python.
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot2).
- Solid understanding of pharmaceutical R&D processes, clinical trials, and drug development lifecycle.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and manage complex data projects in a remote setting.
- Outstanding written and verbal communication skills, with the ability to explain technical concepts to diverse audiences.
- Experience with databases (SQL, NoSQL) and data warehousing concepts.
- Knowledge of regulatory requirements in the pharmaceutical industry is a plus.
- Must be highly organized, detail-oriented, and possess strong self-discipline.