996 Biostatistics jobs in Kenya
Senior Pharmaceutical Data Analyst
Posted 18 days ago
Job Viewed
Job Description
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.
Remote Pharmaceutical Data Analyst
Posted 19 days ago
Job Viewed
Job Description
Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, clean, and process large sports-related datasets.
- Develop and apply statistical models to analyze player and team performance.
- Create predictive models for game outcomes, player development, and strategic planning.
- Visualize data and present findings through reports, dashboards, and presentations.
- Collaborate with coaches, athletes, and management to provide data-driven insights.
- Identify trends and patterns in sports data to inform decision-making.
- Stay updated on the latest advancements in sports analytics techniques and technologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of new analytical tools and methodologies.
- Communicate complex analytical concepts to diverse audiences.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of SQL and database management.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistical concepts and machine learning techniques.
- Deep knowledge and passion for one or more sports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and manage projects in a remote environment.
Remote Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Lead Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the development and implementation of advanced statistical models and analytical frameworks for sports performance.
- Analyze vast datasets related to player statistics, biomechanics, game events, and training data.
- Translate complex data findings into actionable insights for coaches, athletes, and management.
- Develop and maintain data visualization dashboards and reports to effectively communicate key metrics.
- Identify trends, patterns, and predictive indicators to optimize training regimens, injury prevention, and game strategies.
- Collaborate with coaching staff and sports scientists to understand their analytical needs and provide tailored support.
- Stay current with the latest advancements in sports science, data analytics, and relevant technologies.
- Manage data integrity and ensure the accuracy and reliability of analytical outputs.
- Mentor junior analysts and contribute to building a data-centric culture within the organization.
- Present findings and recommendations to stakeholders at various levels.
- Master's degree or Ph.D. in Sports Science, Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics or a closely related field, with a demonstrable track record of impacting performance.
- Proficiency in statistical programming languages such as R or Python, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of sports-specific data collection methods and performance metrics.
- Experience with database management and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey technical information to non-technical audiences.
- Ability to work independently, manage projects, and thrive in a remote team environment.
- Passion for sports and a deep understanding of athletic performance principles.
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Lead Pharmaceutical Data Analyst - Remote
Posted 17 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Biostatistics Jobs in Kenya !
Lead Remote Pharmaceutical Data Analyst
Posted 19 days ago
Job Viewed
Job Description
Sports Analytics Specialist - Remote
Posted 19 days ago
Job Viewed
Job Description
As a Sports Analytics Specialist, you will develop and implement statistical models, predictive analytics, and data visualizations to identify trends, patterns, and key performance indicators. Your work will involve utilizing various analytical tools and programming languages (e.g., Python, R, SQL) to process and interpret data. You will also contribute to the development of reporting dashboards and presentations that clearly communicate complex findings to both technical and non-technical stakeholders. Staying up-to-date with the latest trends in sports analytics and data science methodologies will be essential.
The ideal candidate will possess a strong analytical mindset, exceptional quantitative skills, and a deep understanding of sports. You should be comfortable working independently in a remote environment, managing multiple data projects simultaneously, and collaborating effectively with team members across different departments. A passion for sports, combined with a solid foundation in data analysis and a commitment to continuous learning, will make you an ideal candidate for this exciting role.
Key Responsibilities:
- Collect, clean, and analyze diverse sports-related datasets.
- Develop and implement statistical models and predictive algorithms.
- Identify key performance indicators (KPIs) and track progress towards goals.
- Create data visualizations and dashboards to communicate insights effectively.
- Provide data-driven recommendations to improve team performance and strategy.
- Collaborate with coaches, management, and marketing teams to address analytical needs.
- Stay abreast of the latest trends in sports analytics and data science.
- Assist in the development of data collection methodologies.
- Communicate findings clearly and concisely to technical and non-technical audiences.
- Contribute to a data-informed decision-making culture.
Required Qualifications:
- Bachelor's degree in Statistics, Data Science, Sports Management, Computer Science, or a related quantitative field.
- Proven experience in sports analytics or a related data analysis role.
- Proficiency in programming languages such as Python or R for data analysis.
- Experience with SQL for database management and querying.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical concepts and modeling techniques.
- Deep knowledge of various sports and their associated metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Demonstrated ability to work independently and manage tasks effectively in a remote setting.
Sports Analytics Specialist, Performance Optimization
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
- Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
- Analyze game footage and athlete movements to extract key performance indicators (KPIs).
- Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
- Create comprehensive reports and visualizations to communicate findings effectively.
- Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
- Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
- Contribute to the development of new data collection and analysis methodologies.
- Ensure data integrity and confidentiality.
- Present findings and recommendations in a compelling manner to stakeholders.
This role is fully remote, offering the ultimate flexibility, though the insights generated will support athletic endeavors potentially in regions known for vibrant sporting cultures, such as **Malindi, Kilifi, KE**. We are seeking candidates with a strong background in statistics, data science, or a related quantitative field, combined with a profound understanding of sports. Excellent communication and data visualization skills are essential. If you are driven by uncovering hidden patterns in data to elevate athletic achievement, apply now.