1,707 Pharmaceutical Analyst jobs in Kenya
Senior Pharmaceutical Data Analyst
00200 Gathiruini
KES200000 Annually
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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:
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.
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0
Remote Pharmaceutical Data Analyst
30200 Tuwan
KES300000 Annually
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Our client, a rapidly growing pharmaceutical research company, is seeking a talented and meticulous Pharmaceutical Data Analyst to join their fully remote team. In this vital role, you will be responsible for managing, analyzing, and interpreting complex datasets generated from clinical trials, research studies, and drug development processes. Your insights will directly contribute to the discovery and advancement of new therapies, helping to improve patient outcomes globally. This position demands a strong analytical mindset, a keen eye for detail, and a deep understanding of statistical methodologies within the pharmaceutical context.
Your core responsibilities will include:
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 .
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 .
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1
Remote Pharmaceutical Data Analyst
11100 Tuwan
KES300000 Annually
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Posted 1 day ago
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Job Description
Our client, a pioneering pharmaceutical research company, is seeking a highly analytical and detail-oriented Remote Pharmaceutical Data Analyst. In this fully remote position, you will play a critical role in analyzing complex pharmaceutical datasets, identifying trends, and generating insights that drive drug discovery and development decisions. You will work with large volumes of data from clinical trials, pre-clinical studies, and real-world evidence to support scientific research and regulatory submissions. The ideal candidate possesses a strong background in statistics, data mining, and has experience with pharmaceutical data analysis tools and methodologies. You will collaborate closely with researchers, scientists, and clinical operations teams, contributing to the development of life-saving therapies. This is a remote-first role, offering flexibility and the opportunity to make a significant impact from anywhere.
Responsibilities:
Qualifications:
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.
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2
Remote Pharmaceutical Data Analyst
70100 Abothuguchi West
KES120000 Annually
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Posted 1 day ago
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Our client, a leading entity in the pharmaceutical sector, is actively recruiting a highly analytical Pharmaceutical Data Analyst to join their completely remote workforce. This role is critical for leveraging data to drive insights and inform strategic decisions within the pharmaceutical research and development pipeline. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to clinical trials, drug efficacy, market trends, and patient outcomes. The ideal candidate will possess a strong background in statistical analysis, data visualization, and database management. Proficiency in data analysis tools such as R, Python (with libraries like Pandas, NumPy), SQL, and data visualization software (e.g., Tableau, Power BI) is essential. You should have a keen understanding of the pharmaceutical industry and its regulatory landscape. Responsibilities include designing and implementing data collection methodologies, identifying patterns and trends, preparing comprehensive reports and presentations, and collaborating with cross-functional teams, including researchers, clinicians, and project managers. This position demands excellent problem-solving abilities, a meticulous attention to detail, and the capacity to communicate complex findings effectively to both technical and non-technical audiences. A bachelor's or master's degree in Statistics, Data Science, Bioinformatics, Pharmacy, or a related field is required. Prior experience in pharmaceutical data analysis is a strong asset. This is a fantastic opportunity to make a significant impact in a critical industry while enjoying the flexibility of a fully remote position. Our client is dedicated to supporting their remote employees with cutting-edge technology and continuous professional development opportunities. If you are a data-driven individual with a passion for healthcare innovation and a proven ability to work autonomously, we encourage you to apply.
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3
Remote Pharmaceutical Data Analyst
70300 Gathiruini
KES220000 Annually
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Posted 1 day ago
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Our client, a leading pharmaceutical entity, is seeking a meticulous and analytical Pharmaceutical Data Analyst to join their dynamic team. This is a 100% remote position, enabling you to contribute to critical healthcare initiatives from any location. You will be responsible for collecting, processing, and analyzing large datasets related to clinical trials, drug efficacy, and market trends. Your primary goal will be to extract meaningful insights and patterns that inform strategic decision-making for drug development, marketing, and regulatory affairs. You will utilize various statistical software and data visualization tools to create comprehensive reports and dashboards for stakeholders. This role involves identifying key performance indicators (KPIs), monitoring trends, and forecasting future outcomes based on rigorous data analysis. Collaboration with research scientists, clinicians, and business development managers is essential to understand their data needs and translate complex findings into actionable recommendations. A strong understanding of pharmaceutical terminology, regulatory guidelines (e.g., FDA, EMA), and clinical trial phases is highly desirable. The ideal candidate possesses exceptional analytical skills, proficiency in SQL, Python or R, and experience with data visualization platforms like Tableau or Power BI. You must be a proactive problem-solver with excellent written and verbal communication skills, capable of presenting complex data in a clear and concise manner. This remote opportunity offers a chance to make a significant impact on public health by contributing to the development and delivery of innovative medicines. You will be an integral part of a forward-thinking organization, driving data-informed strategies and improving patient outcomes through insightful analysis. The role requires a commitment to data integrity and accuracy, ensuring that all analyses are conducted with the highest ethical standards and scientific rigor, all performed remotely. This role is based in Mlolongo, Machakos, KE .
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4
Senior Pharmaceutical Data Analyst
00400 Ngong
KES8000000 Annually
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Posted 1 day ago
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Job Description
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:
Qualifications:
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.
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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5
Remote Pharmaceutical Data Analyst
80100 Nairobi, Nairobi
KES190000 Annually
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Posted 2 days ago
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Our client, a prominent entity within the pharmaceutical sector, is seeking a skilled and meticulous Pharmaceutical Data Analyst to join their fully remote operational team. This position is integral to driving data-informed decision-making across research, development, clinical trials, and market analysis. The ideal candidate will possess a strong analytical background, a deep understanding of statistical methodologies, and significant experience working with large datasets within the pharmaceutical or healthcare industries. You will be responsible for collecting, cleaning, analyzing, and interpreting complex pharmaceutical data to identify trends, uncover insights, and generate actionable reports. Key responsibilities include designing databases, developing data models, performing statistical analysis, creating visualizations, and communicating findings to various stakeholders, including research scientists, clinical teams, and management. Expertise in data analysis tools and programming languages such as SQL, Python, R, and statistical software packages is essential. This role demands a proactive approach to data integrity, a keen eye for detail, and the ability to work autonomously in a remote setting. We are looking for an individual who can translate intricate data into clear, concise, and impactful recommendations that support strategic pharmaceutical initiatives. Your work will directly contribute to the advancement of drug development, therapeutic interventions, and patient outcomes. The role is conceptually located in **Mombasa, Mombasa, KE**, but is a fully remote position.
Key Responsibilities:
Qualifications:
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.
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6
Remote Pharmaceutical Data Analyst
01000 Makongeni
KES120000 Annually
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Posted 2 days ago
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Our client is seeking a highly analytical and meticulous Remote Pharmaceutical Data Analyst to support critical research and development initiatives. This role involves collecting, cleaning, analyzing, and interpreting complex datasets related to drug discovery, clinical trials, and market trends. You will be instrumental in identifying patterns, generating insights, and providing data-driven recommendations to guide strategic decision-making within the pharmaceutical sector. The ideal candidate will possess a strong background in statistics, data science, and experience with pharmaceutical data. Proficiency in data analysis tools such as SQL, Python, R, and visualization software (e.g., Tableau, Power BI) is essential. Responsibilities include developing and maintaining data models, performing statistical analyses, creating comprehensive reports and dashboards, and communicating findings clearly to both technical and non-technical stakeholders. You should have a deep understanding of regulatory requirements and data privacy standards relevant to the pharmaceutical industry. This is a fully remote position, enabling you to work from **Thika, Kiambu, KE**, or any other suitable remote location. We are looking for an individual with a passion for scientific discovery and a commitment to data integrity. Your ability to translate complex data into actionable intelligence will be vital for our ongoing success in developing life-saving medications. This opportunity offers the chance to contribute to groundbreaking pharmaceutical research and make a significant impact on global health outcomes. You will be part of a collaborative team dedicated to innovation and scientific excellence, leveraging data to drive progress in medicine.
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7
Remote Pharmaceutical Data Analyst
30100 Abothuguchi West
KES105000 Annually
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Posted 2 days ago
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Job Description
Our client is looking for a meticulous and insightful Remote Pharmaceutical Data Analyst to contribute to their innovative research and development efforts. This is a fully remote position, offering the flexibility to analyze complex pharmaceutical data from anywhere, supporting critical projects that may impact healthcare outcomes, including those within or relevant to the Garissa, Garissa, KE region. You will play a key role in transforming raw data into actionable insights.
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:
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.
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8
Remote Pharmaceutical Data Analyst
70100 Abothuguchi West
KES95000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a meticulous and analytical Remote Pharmaceutical Data Analyst to join their growing team. This is a fully remote position that requires leveraging data to derive actionable insights within the pharmaceutical sector. The successful candidate will be responsible for collecting, cleaning, analyzing, and interpreting complex pharmaceutical datasets to support research, development, clinical trials, and market analysis. Key responsibilities include designing and executing data queries, developing statistical models, creating comprehensive reports and visualizations, and identifying trends and patterns that can inform strategic decision-making. You will work closely with pharmaceutical scientists, clinicians, and business stakeholders, communicating your findings effectively through virtual presentations and written reports. This role demands a strong understanding of statistical methodologies, proficiency in data analysis tools and programming languages (e.g., R, Python, SQL), and a solid grasp of pharmaceutical terminology and processes. We are looking for an individual who can contribute significantly to advancing pharmaceutical research and development efforts for projects relevant to the **Garissa, Garissa, KE** area, all while working remotely. Your analytical prowess will be key to uncovering critical insights.
Qualifications:
Qualifications:
- Bachelor's or Master's degree in Statistics, Biostatistics, Data Science, Pharmacy, or a related quantitative field.
- Minimum of 3-5 years of experience in data analysis, preferably within the pharmaceutical or healthcare industry.
- Proficiency in statistical analysis software and programming languages (e.g., R, Python, SAS, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of pharmaceutical research, clinical trial processes, and regulatory requirements is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication skills, with the ability to explain complex data insights to diverse audiences remotely.
- Ability to work independently and manage multiple data analysis projects simultaneously.
- Detail-oriented with a commitment to data accuracy and integrity.
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