604 Pharmaceutical Analyst jobs in Kenya
Remote Pharmaceutical Data Analyst
20216 Naivasha, Rift Valley
KES105000 Annually
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Our client is looking for a skilled and analytical Remote Pharmaceutical Data Analyst to support their research and development, clinical trials, and market analysis efforts. This fully remote position involves collecting, processing, analyzing, and interpreting complex pharmaceutical data to drive informed decision-making and identify key trends. You will work with large datasets from various sources, including clinical studies, sales figures, and regulatory submissions.
Your key responsibilities will include performing statistical analysis on clinical trial data to evaluate drug efficacy and safety, analyzing market trends and competitor activities to identify opportunities, and preparing reports and visualizations to communicate findings to stakeholders. You will also be involved in data mining, identifying patterns that could lead to new product development or market strategies. Ensuring data integrity, accuracy, and compliance with relevant regulations (e.g., GxP, HIPAA) is paramount. You will collaborate with scientists, clinicians, marketing teams, and regulatory affairs specialists to provide data-driven insights. Proficiency in statistical software (e.g., R, SAS, SPSS) and database management is essential.
The ideal candidate will hold a Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Pharmacy, or a related quantitative field. A minimum of 3 years of experience in data analysis within the pharmaceutical or biotechnology industry is required. Strong knowledge of pharmaceutical R&D processes, clinical trial phases, and regulatory affairs is highly beneficial. Excellent analytical, critical thinking, and problem-solving skills are mandatory. Proficiency in data visualization tools (e.g., Tableau, Power BI) and SQL is a significant advantage. You must be highly organized, detail-oriented, and capable of working independently and managing your time effectively in a remote environment. If you are passionate about leveraging data to advance pharmaceutical innovation remotely, we welcome your application.
Your key responsibilities will include performing statistical analysis on clinical trial data to evaluate drug efficacy and safety, analyzing market trends and competitor activities to identify opportunities, and preparing reports and visualizations to communicate findings to stakeholders. You will also be involved in data mining, identifying patterns that could lead to new product development or market strategies. Ensuring data integrity, accuracy, and compliance with relevant regulations (e.g., GxP, HIPAA) is paramount. You will collaborate with scientists, clinicians, marketing teams, and regulatory affairs specialists to provide data-driven insights. Proficiency in statistical software (e.g., R, SAS, SPSS) and database management is essential.
The ideal candidate will hold a Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Pharmacy, or a related quantitative field. A minimum of 3 years of experience in data analysis within the pharmaceutical or biotechnology industry is required. Strong knowledge of pharmaceutical R&D processes, clinical trial phases, and regulatory affairs is highly beneficial. Excellent analytical, critical thinking, and problem-solving skills are mandatory. Proficiency in data visualization tools (e.g., Tableau, Power BI) and SQL is a significant advantage. You must be highly organized, detail-oriented, and capable of working independently and managing your time effectively in a remote environment. If you are passionate about leveraging data to advance pharmaceutical innovation remotely, we welcome your application.
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0
Remote Pharmaceutical Data Analyst
00400 Nairobi, Nairobi
KES200000 Annually
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Our client, a leading pharmaceutical company focused on innovative drug development, is seeking a skilled Remote Pharmaceutical Data Analyst. This position is fully remote, offering the chance to contribute critical data insights from any location. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to clinical trials, market research, and drug efficacy. Your work will directly support decision-making processes, identify key trends, and contribute to the strategic direction of our client's pharmaceutical research and development efforts. The ideal candidate possesses strong analytical abilities, a solid understanding of statistical methods, and familiarity with the pharmaceutical industry.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, clean, and organize large datasets from various sources, including clinical trials, R&D, and market intelligence.
- Perform statistical analysis using relevant software to identify trends, patterns, and correlations in pharmaceutical data.
- Develop and maintain data dashboards and reports for scientific and management teams.
- Interpret data findings and translate them into actionable insights and recommendations.
- Collaborate with research scientists, clinicians, and project managers to define data requirements and analytical approaches.
- Ensure data integrity, accuracy, and compliance with regulatory standards (e.g., GCP, HIPAA).
- Develop predictive models to forecast drug efficacy, market trends, and patient outcomes.
- Identify opportunities for process improvements in data collection and analysis.
- Stay updated on the latest analytical techniques and technologies in the pharmaceutical industry.
- Present complex data findings clearly and concisely to both technical and non-technical audiences.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, Pharmacy, or a related quantitative field.
- Minimum of 3 years of experience in data analysis, preferably within the pharmaceutical or healthcare sector.
- Proficiency in statistical software such as R, Python (with libraries like Pandas, NumPy, SciPy), SAS, or SPSS.
- Experience with database management (SQL) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of clinical trial methodologies and pharmaceutical research processes.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage projects effectively in a remote environment.
- Strong communication skills, both written and verbal.
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1
Senior Pharmaceutical Data Analyst
00100 Bungoma, Western
KES130000 Annually
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Our client, a global pharmaceutical innovator, is seeking a highly analytical and experienced Senior Pharmaceutical Data Analyst to join their remote-first team. This critical role will support the company's research, development, and commercialization efforts by leveraging vast datasets to derive actionable insights. You will be responsible for the end-to-end process of data analysis, from data extraction and cleaning to statistical modeling and visualization, all performed remotely. Key responsibilities include analyzing clinical trial data, market research data, and real-world evidence to identify trends, evaluate drug efficacy, and optimize treatment strategies. You will develop and maintain robust data dashboards and reports for various stakeholders, including R&D scientists, marketing teams, and executive leadership. This position requires a strong command of statistical software (e.g., R, Python with libraries like Pandas, SciPy, Scikit-learn) and database querying languages (SQL). You will collaborate closely with cross-functional teams through virtual meetings and collaborative platforms, providing data-driven recommendations to guide decision-making. A deep understanding of the pharmaceutical industry, regulatory requirements (e.g., FDA, EMA), and clinical data standards (e.g., CDISC) is essential. The ideal candidate possesses a Master's or Ph.D. in Statistics, Biostatistics, Data Science, or a related quantitative field, with a minimum of 7 years of experience in pharmaceutical data analysis. Excellent communication skills are required to present complex findings clearly and concisely. This role offers the flexibility to work from anywhere, empowering you to contribute significantly to life-saving innovations while enjoying the benefits of a remote work environment. If you are driven by data and passionate about making a difference in healthcare, we want to hear from you.
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2
Remote Pharmaceutical Data Analyst
40100 Kisumu
KES90000 month
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Our client, a leading pharmaceutical company, is searching for a highly analytical and detail-oriented Pharmaceutical Data Analyst to join their globally distributed team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in analyzing complex datasets related to drug development, clinical trials, and market performance to derive actionable insights. Key responsibilities include cleaning, transforming, and visualizing data, building predictive models, and generating reports for various stakeholders, including R&D, marketing, and regulatory affairs teams. You will work with large datasets using statistical software and programming languages like Python or R. Proficiency in data visualization tools such as Tableau or Power BI is essential. We are seeking a candidate with a strong quantitative background, excellent analytical skills, and a deep understanding of the pharmaceutical industry. A Master's degree or Ph.D. in Statistics, Data Science, Bioinformatics, or a related field, along with at least 3 years of experience in data analysis within the pharmaceutical or healthcare sector, is required. Exceptional communication skills are needed to present complex findings clearly and concisely to both technical and non-technical audiences. If you are a data-driven professional passionate about leveraging data to improve pharmaceutical outcomes and thrive in a remote, fast-paced environment, this is an excellent opportunity for you.
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3
Remote Pharmaceutical Data Analyst
30100 Moiben
KES200000 Annually
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Posted 1 day ago
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Join our innovative pharmaceutical company as a Remote Pharmaceutical Data Analyst, based virtually and contributing to our operations from anywhere. We are seeking a meticulous and analytical professional to support our research and development efforts through rigorous data interpretation. This fully remote position offers a unique opportunity to work with cutting-edge pharmaceutical data, contributing to the discovery and development of life-saving medicines.
Your primary responsibilities will include collecting, cleaning, and analyzing large datasets related to clinical trials, drug efficacy, patient outcomes, and market trends. You will develop and implement statistical models and algorithms to identify patterns, generate insights, and provide actionable recommendations to our scientific and commercial teams. This involves creating clear and concise reports, visualizations, and dashboards to communicate complex findings to both technical and non-technical stakeholders.
The role requires a deep understanding of statistical software and programming languages such as R, Python, or SAS, along with expertise in database management and SQL. You will also be involved in ensuring data integrity, accuracy, and compliance with regulatory standards within the pharmaceutical industry. Proactive identification of data-related issues and development of solutions will be a key aspect of your work. Collaboration will be essential, working closely with researchers, clinicians, regulatory affairs specialists, and marketing teams to translate data insights into strategic business decisions. Proficiency in data visualization tools like Tableau or Power BI is highly desirable.
To be successful in this remote role, you should have a Master's or Ph.D. in Statistics, Biostatistics, Data Science, Bioinformatics, or a related quantitative field. A minimum of 5 years of experience in data analysis within the pharmaceutical or biotech industry is required. Exceptional analytical, problem-solving, and critical thinking skills are essential. You must possess strong communication skills, both written and verbal, to effectively convey complex information. Experience with machine learning techniques and their application in pharmaceuticals is a plus. We are looking for an individual who is self-disciplined, highly organized, and capable of managing their time effectively in a remote work environment, ensuring all project deadlines are met.
Your primary responsibilities will include collecting, cleaning, and analyzing large datasets related to clinical trials, drug efficacy, patient outcomes, and market trends. You will develop and implement statistical models and algorithms to identify patterns, generate insights, and provide actionable recommendations to our scientific and commercial teams. This involves creating clear and concise reports, visualizations, and dashboards to communicate complex findings to both technical and non-technical stakeholders.
The role requires a deep understanding of statistical software and programming languages such as R, Python, or SAS, along with expertise in database management and SQL. You will also be involved in ensuring data integrity, accuracy, and compliance with regulatory standards within the pharmaceutical industry. Proactive identification of data-related issues and development of solutions will be a key aspect of your work. Collaboration will be essential, working closely with researchers, clinicians, regulatory affairs specialists, and marketing teams to translate data insights into strategic business decisions. Proficiency in data visualization tools like Tableau or Power BI is highly desirable.
To be successful in this remote role, you should have a Master's or Ph.D. in Statistics, Biostatistics, Data Science, Bioinformatics, or a related quantitative field. A minimum of 5 years of experience in data analysis within the pharmaceutical or biotech industry is required. Exceptional analytical, problem-solving, and critical thinking skills are essential. You must possess strong communication skills, both written and verbal, to effectively convey complex information. Experience with machine learning techniques and their application in pharmaceuticals is a plus. We are looking for an individual who is self-disciplined, highly organized, and capable of managing their time effectively in a remote work environment, ensuring all project deadlines are met.
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4
Remote Pharmaceutical Data Analyst
30200 Moiben
KES160000 Annually
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Posted 2 days ago
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Our client, a leading innovator in the pharmaceutical sector, is looking for a dedicated Remote Pharmaceutical Data Analyst to join their globally distributed team. This is a crucial role focused on extracting, analyzing, and interpreting complex datasets related to drug development, clinical trials, and market trends. You will play a vital role in supporting research, development, and strategic decision-making by providing actionable insights derived from data. Your primary responsibilities will include:
- Collecting, cleaning, and validating large datasets from various pharmaceutical sources.
- Performing statistical analysis to identify patterns, trends, and correlations in drug efficacy and safety data.
- Developing and maintaining dashboards and reports to visualize key findings for stakeholders.
- Collaborating with research scientists, clinicians, and business development teams to understand data needs and deliver relevant insights.
- Ensuring data integrity and compliance with industry regulations (e.g., FDA, EMA guidelines).
- Identifying opportunities for process improvement in data collection and analysis methodologies.
- Contributing to the development of predictive models for drug performance and market success.
- Presenting complex analytical findings in a clear and concise manner to both technical and non-technical audiences.
- Staying updated on the latest advancements in pharmaceutical data analytics and bioinformatics.
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5
Remote Pharmaceutical Data Analyst
80200 Nairobi, Nairobi
KES120000 month
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Posted 4 days ago
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Our client, a prominent pharmaceutical research organization, is seeking a highly analytical and detail-oriented Remote Pharmaceutical Data Analyst to join their virtual team. This position is fully remote, offering a flexible work arrangement. You will be responsible for collecting, processing, and analyzing complex datasets related to pharmaceutical research, clinical trials, and market trends. Your insights will be crucial in supporting strategic decision-making and advancing scientific understanding. Key responsibilities include: cleaning and validating large datasets, performing statistical analysis on research data, identifying trends, patterns, and anomalies, creating visualizations and reports to communicate findings effectively, collaborating with researchers and scientists to understand data requirements, and ensuring data integrity and accuracy throughout the analysis process. The ideal candidate will have a strong background in statistics, data analysis, and a deep understanding of the pharmaceutical industry. Proficiency in data analysis software (e.g., R, Python, SAS) and database management is essential. Experience with clinical trial data and regulatory requirements is highly desirable. We are looking for a meticulous individual with excellent problem-solving skills and the ability to interpret complex data. Strong communication skills, both written and verbal, are necessary to present findings clearly to diverse audiences. A Bachelor's or Master's degree in Statistics, Bioinformatics, Data Science, Pharmacology, or a related quantitative field is required, along with at least 4 years of relevant experience in data analysis, preferably within the pharmaceutical sector. This is an excellent opportunity for a data expert to contribute to cutting-edge pharmaceutical research from a remote setting.
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6
Remote Pharmaceutical Data Analyst
50100 Bungoma, Western
KES95000 Annually
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Posted 5 days ago
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Job Description
Our client is seeking a highly skilled and detail-oriented Remote Pharmaceutical Data Analyst to contribute to their cutting-edge research and development efforts. This is a fully remote position, perfect for an individual passionate about leveraging data to drive innovation in the pharmaceutical sector. You will be instrumental in collecting, processing, analyzing, and interpreting complex datasets related to drug discovery, clinical trials, and market trends.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Analyze large datasets from clinical trials, pre-clinical studies, and real-world evidence to identify trends, patterns, and insights.
- Develop and maintain data pipelines for cleaning, transforming, and integrating diverse data sources.
- Create visualizations and reports to communicate findings effectively to scientific and management teams.
- Collaborate with researchers, statisticians, and clinicians to define data analysis requirements and methodologies.
- Apply statistical techniques and machine learning algorithms to model biological processes and predict drug efficacy.
- Ensure data integrity, accuracy, and compliance with regulatory standards (e.g., FDA, EMA).
- Develop dashboards and performance metrics to monitor key aspects of drug development programs.
- Stay updated on the latest advancements in pharmaceutical data analysis, bioinformatics, and computational biology.
- Contribute to the design of experiments and clinical trials by providing data-driven recommendations.
- Automate data analysis processes and reporting where possible.
- Identify opportunities to improve data collection, management, and analysis processes.
- Present findings and insights in a clear, concise, and actionable manner to stakeholders.
Qualifications:
- Master's or PhD degree in Bioinformatics, Statistics, Data Science, Computer Science, or a related quantitative field with a focus on life sciences.
- Minimum of 4 years of experience in data analysis within the pharmaceutical or biotechnology industry.
- Strong proficiency in programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
- Experience with SQL for database querying and management.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Knowledge of clinical trial phases, regulatory affairs, and pharmacovigilance is a significant advantage.
- Experience with biological databases and sequence analysis tools.
- Excellent analytical and statistical modeling skills.
- Strong problem-solving abilities and attention to detail.
- Ability to communicate complex technical information clearly to diverse audiences.
- Proven ability to work effectively in a remote, collaborative environment.
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7
Remote Pharmaceutical Data Analyst - Clinical Trials
40100 Kisumu
KES90000 Annually
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Posted 4 days ago
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Our client is seeking a meticulous and experienced Remote Pharmaceutical Data Analyst to support critical clinical trial operations. This position requires a deep understanding of pharmaceutical data management and analysis to ensure the integrity and accuracy of trial results.
Key Responsibilities:
Qualifications:
This fully remote role offers a significant opportunity to contribute to the development of life-saving medicines.
Key Responsibilities:
- Collect, clean, validate, and manage clinical trial data from various sources, ensuring compliance with regulatory standards (e.g., GCP, CDISC).
- Perform statistical analysis of clinical trial data to identify trends, patterns, and significant findings.
- Develop and maintain databases and data management systems for clinical trials.
- Generate reports, tables, listings, and figures for clinical study reports (CSRs), regulatory submissions, and internal reviews.
- Collaborate with clinical research associates (CRAs), statisticians, and medical writers via remote communication channels to address data queries and ensure data quality.
- Develop and execute data validation plans and identify discrepancies.
- Assist in the design of clinical trial databases and electronic data capture (EDC) systems.
- Stay updated on data management best practices, regulatory requirements, and industry standards in pharmaceutical research.
- Contribute to the development of data management plans (DMPs) and standard operating procedures (SOPs).
- Ensure data security and confidentiality at all times.
Qualifications:
- Bachelor's degree in Statistics, Biostatistics, Computer Science, Bioinformatics, Pharmacy, or a related quantitative field.
- Minimum of 3 years of experience in data management or data analysis within the pharmaceutical or biotechnology industry, specifically in clinical trials.
- Proficiency in statistical software packages such as SAS, R, or SPSS.
- Experience with Electronic Data Capture (EDC) systems (e.g., Medidata Rave, Oracle Clinical) is highly desirable.
- Strong understanding of Good Clinical Practice (GCP) guidelines and CDISC standards.
- Excellent analytical, problem-solving, and critical thinking skills.
- Meticulous attention to detail and commitment to data accuracy and integrity.
- Strong communication and collaboration skills for effective remote teamwork.
- Ability to manage multiple projects and meet strict deadlines in a remote work environment.
- Knowledge of database management principles.
This fully remote role offers a significant opportunity to contribute to the development of life-saving medicines.
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8
Pharmaceutical Quality Control Analyst
01002 Gathiruini
KES75000 month
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Posted today
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Our client, a leading pharmaceutical company, is seeking a meticulous and detail-oriented Pharmaceutical Quality Control Analyst to join their team in Mlolongo, Machakos, KE . This role is critical in ensuring the quality and safety of pharmaceutical products through rigorous testing and analysis. The ideal candidate will possess a strong foundation in pharmaceutical sciences, analytical chemistry, and regulatory compliance. Responsibilities include performing in-process and finished product testing using various analytical techniques (e.g., HPLC, GC, UV-Vis spectrophotometry), preparing and analyzing raw materials, intermediate products, and finished goods, documenting all testing procedures and results accurately in compliance with Good Manufacturing Practices (GMP), maintaining laboratory equipment and ensuring calibration, troubleshooting analytical methods, investigating out-of-specification (OOS) results, and contributing to the continuous improvement of quality control processes. You will work closely with production, R&D, and regulatory affairs departments to ensure product integrity and adherence to industry standards. A Bachelor's or Master's degree in Pharmacy, Chemistry, Biotechnology, or a related life science field, along with at least two years of experience in a pharmaceutical QC laboratory setting, is required. Familiarity with pharmacopeial methods (e.g., USP, EP) and a thorough understanding of GMP and quality management systems are essential. Excellent analytical skills, precision, and a commitment to upholding the highest standards of quality are paramount for success in this role.
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