What Jobs are available for Principal Bioinformatician in Kenya?
Showing 510 Principal Bioinformatician jobs in Kenya
Principal Bioinformatician
Posted 26 days ago
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Job Description
Our client, a leading biotechnology firm, is actively searching for a highly skilled Principal Bioinformatician to join their innovative research team in a completely remote capacity. This position offers the opportunity to lead complex data analysis projects and contribute to significant breakthroughs in genomics and molecular biology. You will be responsible for developing and implementing advanced computational and statistical methods to analyze large-scale biological datasets, including next-generation sequencing data (RNA-Seq, WGS, ChIP-Seq). The ideal candidate will have extensive experience in developing bioinformatics pipelines, script development (Python, R), and familiarity with various bioinformatics tools and databases. A Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field is required, along with a strong publication record. Your expertise should include statistical modeling, machine learning applications in biology, and data visualization. You will collaborate closely with biologists, geneticists, and clinicians, providing crucial data-driven insights to guide experimental design and interpretation of results. This fully remote role demands excellent communication skills, the ability to work independently, manage multiple projects simultaneously, and contribute to a collaborative virtual environment. Responsibilities also include mentoring junior bioinformaticians, staying abreast of the latest research and technological advancements, and contributing to grant writing and scientific publications. This is an exceptional chance to make a substantial impact on the field of life sciences from your home office, regardless of your location within **Kakamega, Kakamega, KE**. You will be instrumental in uncovering new biological insights and driving therapeutic discovery.
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Principal Bioinformatician - Drug Discovery
Posted 8 days ago
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Job Description
Our client is actively seeking a Principal Bioinformatician to spearhead critical initiatives within their remote drug discovery research division. This role is essential for driving innovation and accelerating the identification of novel therapeutic candidates. As a fully remote position, you will collaborate with leading scientists and researchers across various disciplines, leveraging your expertise in computational biology and machine learning to analyze complex biological datasets. Your responsibilities will encompass developing and implementing scalable bioinformatics pipelines for high-throughput screening data, omics data integration, and predictive modeling. You will play a pivotal role in interpreting experimental results, identifying key targets, and contributing to the strategic direction of drug development programs. The ideal candidate will have a deep understanding of biological pathways, molecular mechanisms of disease, and experience applying advanced algorithms to large-scale datasets. Strong communication skills are vital for presenting complex findings to diverse audiences and for fostering collaborative relationships with internal and external partners. This role requires a highly analytical and detail-oriented individual who thrives in a fast-paced, intellectually stimulating, and remote-first environment. We are looking for someone who can not only perform sophisticated analyses but also contribute to the broader scientific vision of our client.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and maintain robust bioinformatics pipelines for analyzing diverse biological data, including genomics, transcriptomics, proteomics, and metabolomics.
- Apply machine learning and statistical modeling techniques to identify drug targets, predict drug efficacy, and understand mechanisms of action.
- Integrate and interpret multi-omics data to gain comprehensive insights into disease biology.
- Collaborate closely with medicinal chemists, biologists, and pharmacologists to guide drug discovery efforts.
- Develop and implement strategies for data management, curation, and quality control.
- Present complex computational findings clearly and effectively to both technical and non-technical stakeholders.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and drug discovery.
- Mentor junior bioinformaticians and contribute to team development.
- Ph.D. or equivalent research experience in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in bioinformatics, with a significant focus on drug discovery or related R&D settings.
- Expertise in scripting languages (e.g., Python, R) and experience with bioinformatic tools and databases.
- Demonstrated experience with machine learning algorithms and their application to biological data.
- Strong understanding of molecular biology, genetics, and disease pathways.
- Proven ability to manage complex projects, work independently, and deliver results in a remote setting.
- Excellent communication, collaboration, and problem-solving skills.
- Experience with large-scale data analysis and high-performance computing environments is essential.
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1
Principal Bioinformatician, Genomics Data Analysis
Posted 3 days ago
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Job Description
Our client is at the forefront of leveraging genomic data to drive breakthroughs in human health and personalized medicine. We are expanding our elite team with a highly skilled Principal Bioinformatician, offering a fully remote work arrangement. This senior role involves the development and implementation of sophisticated computational pipelines for the analysis of large-scale genomic and transcriptomic datasets. You will be a key contributor in identifying novel biomarkers, understanding disease mechanisms, and guiding drug discovery efforts. The ideal candidate possesses a deep expertise in statistical genetics, machine learning, and experience with high-performance computing environments.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and maintain robust bioinformatics pipelines for processing and analyzing next-generation sequencing (NGS) data (WGS, WES, RNA-Seq).
- Apply advanced statistical and machine learning methods to identify genetic variants, disease associations, and regulatory elements.
- Develop and implement algorithms for variant calling, annotation, and interpretation.
- Collaborate closely with wet-lab scientists, clinicians, and data scientists to interpret results and define new research questions.
- Manage and curate large genomic datasets, ensuring data integrity and accessibility in a cloud-based environment.
- Develop custom scripts and tools to automate data analysis workflows and improve efficiency.
- Contribute to the design of genomic studies and experimental strategies.
- Prepare high-quality reports, presentations, and publications for scientific audiences.
- Mentor junior bioinformaticians and research associates.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Contribute to the development of intellectual property and research proposals.
- Troubleshoot complex computational challenges and optimize pipeline performance.
- Lead bioinformatics efforts for specific research projects and initiatives.
- Ensure data security and compliance with relevant regulations.
- Evaluate and integrate new bioinformatics tools and technologies.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 8 years of relevant experience in bioinformatics or computational genomics.
- Demonstrated expertise in analyzing large-scale genomic datasets (e.g., whole-genome sequencing, whole-exome sequencing, RNA-Seq).
- Proficiency in programming languages such as Python, R, and/or Perl.
- Experience with command-line environments (Linux/Unix) and high-performance computing (HPC) clusters.
- Strong knowledge of statistical genetics, population genetics, and machine learning algorithms.
- Familiarity with common bioinformatics databases and tools (e.g., Ensembl, UCSC Genome Browser, GATK, STAR).
- Excellent problem-solving abilities and a strong track record of independent research.
- Superior communication and collaboration skills, essential for a remote team environment.
- Experience in translating biological questions into computational analyses.
- Publications in peer-reviewed journals are highly regarded.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Ability to manage complex projects and mentor team members.
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2
Sports Analytics Specialist
Posted 10 days ago
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Job Description
Our client is seeking a highly analytical and sports-passionate individual to join their team as a Sports Analytics Specialist. This fully remote position allows you to leverage your data science and statistical modeling skills to uncover insights and enhance performance strategies within the exciting world of sports. You will be instrumental in analyzing game data, player performance, and market trends to provide actionable recommendations. This role offers a unique opportunity to shape data-driven decision-making for teams and organizations, with a focus on sports contexts relevant to Kakamega, Kakamega, KE and beyond.
Responsibilities:
Responsibilities:
- Collect, clean, and process large datasets from various sports sources (e.g., game statistics, player tracking data, performance metrics).
- Develop and implement statistical models and machine learning algorithms to analyze sports data.
- Identify key performance indicators (KPIs) and metrics relevant to different sports and team objectives.
- Translate complex analytical findings into clear, concise, and actionable insights for coaches, management, and stakeholders.
- Create visualizations and dashboards to effectively communicate performance trends and strategic recommendations.
- Collaborate with sports teams, coaches, and performance staff to understand their analytical needs and challenges.
- Conduct predictive modeling for player performance, game outcomes, and injury risk.
- Analyze scouting data and identify potential talent through data-driven approaches.
- Stay abreast of the latest trends and advancements in sports analytics and data science.
- Contribute to the development of data collection methodologies and tools.
- Evaluate the effectiveness of implemented strategies and recommend adjustments.
- Ensure data integrity and confidentiality throughout the analysis process.
- Present findings and insights in a compelling manner, both written and verbal.
- Engage in research projects to explore new analytical techniques and applications in sports.
- Bachelor's or Master's degree in Data Science, Statistics, Sports Science, Computer Science, Mathematics, or a related quantitative field.
- Proven experience in data analysis, statistical modeling, and machine learning, preferably within a sports context.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of statistical concepts and hypothesis testing.
- Familiarity with sports rules, strategies, and performance metrics across various disciplines.
- 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 and manage multiple projects in a remote setting.
- Passion for sports and a deep understanding of its competitive landscape.
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3
Lead Sports Analytics Specialist
Posted 18 days ago
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Job Description
Our client is looking for a forward-thinking Lead Sports Analytics Specialist to join their fully remote team. This role is critical for leveraging data to enhance athletic performance, strategy, and fan engagement within the sports industry. The ideal candidate will have a strong background in data science, statistical modeling, and a profound understanding of sports dynamics. You will be responsible for analyzing vast datasets, generating actionable insights, and communicating findings to coaches, management, and performance staff.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced analytical models to evaluate player performance, team strategies, and game outcomes.
- Collect, clean, and process large volumes of sports-related data from various sources.
- Identify key metrics and KPIs for assessing performance and predicting trends.
- Create compelling data visualizations and reports to communicate complex findings effectively.
- Collaborate with coaching staff and athletes to understand their analytical needs and provide data-driven recommendations.
- Stay abreast of the latest advancements in sports analytics technology, methodologies, and relevant sports science research.
- Manage and mentor a team of junior analysts.
- Ensure data integrity and security.
- Contribute to the development of innovative analytical tools and platforms.
- Present findings and insights to stakeholders at various levels.
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4
Senior Sports Analytics Specialist
Posted 10 days ago
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Job Description
Our client, a dynamic organization in the sports industry, is seeking a highly analytical Senior Sports Analytics Specialist to provide data-driven insights and strategic recommendations. This is a fully remote position, enabling you to leverage your analytical skills and expertise from any location. You will be responsible for collecting, cleaning, and analyzing large datasets related to player performance, game strategies, and fan engagement. Your insights will directly influence decision-making processes, including player recruitment, training optimization, and game-day strategy development. The ideal candidate possesses a strong background in statistical analysis, data modeling, and proficiency in relevant analytical tools and programming languages (e.g., Python, R, SQL). Excellent communication and visualization skills are essential, as you will be presenting complex data findings to stakeholders in an understandable and actionable manner. Experience in sports analytics, either professionally or through significant personal projects, is highly preferred. You should be adept at identifying key performance indicators (KPIs), developing predictive models, and translating data into meaningful narratives. This is an exciting opportunity to contribute to the success of a sports organization through cutting-edge data analysis, all within a flexible, remote framework. Responsibilities:
- Collecting, cleaning, and processing large datasets from various sports sources.
- Performing in-depth statistical analysis of player performance, team dynamics, and game outcomes.
- Developing predictive models to forecast performance and identify trends.
- Creating compelling data visualizations and reports to communicate insights.
- Providing strategic recommendations to coaching staff, management, and scouting departments.
- Collaborating with stakeholders to define key metrics and analytical objectives.
- Staying up-to-date with the latest advancements in sports analytics and data science.
- Utilizing various analytical software and programming languages (e.g., Python, R, SQL).
- Maintaining data integrity and ensuring the accuracy of analytical outputs.
- Contributing to a data-driven culture within the organization.
- Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis and sports analytics.
- Proficiency in programming languages such as Python or R for data analysis.
- Strong knowledge of statistical modeling, machine learning techniques, and data mining.
- Experience with database management and SQL.
- Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib.
- Strong understanding of sports principles and performance metrics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and manage multiple projects in a remote environment.
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5
Remote Sports Analytics Specialist
Posted 9 days ago
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Job Description
Our client, a cutting-edge sports analytics firm dedicated to enhancing athletic performance and strategic decision-making, is seeking a talented and passionate Sports Analytics Specialist to join their fully remote team. This role will involve leveraging advanced statistical techniques and data visualization tools to analyze complex sports data, identify performance trends, and provide actionable insights to athletes, coaches, and management. You will work with a variety of sports, contributing to the competitive edge of our clients. This position requires a strong analytical mindset, proficiency in data analysis tools, and a deep understanding of sports dynamics.
Responsibilities:
Qualifications:
Responsibilities:
- Collect, clean, and process large datasets from various sports-related sources, including performance metrics, player statistics, and game data.
- Apply statistical methods and machine learning algorithms to identify patterns, trends, and correlations in sports data.
- Develop and implement predictive models to forecast game outcomes, player performance, and other key metrics.
- Create compelling data visualizations and dashboards to communicate findings clearly and effectively to non-technical stakeholders.
- Collaborate with sports teams, coaches, and athletes to understand their analytical needs and provide tailored insights.
- Conduct in-depth research into sports analytics methodologies and emerging technologies.
- Contribute to the development of proprietary analytics tools and platforms.
- Stay updated on the latest trends and innovations in sports science, performance analysis, and data analytics.
- Prepare reports and presentations summarizing analytical findings and recommendations.
- Maintain data integrity and ensure the accuracy and reliability of analytical outputs.
- Assist in the design of experiments and data collection strategies for performance improvement.
- Contribute to a collaborative team environment, sharing knowledge and insights with colleagues.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Sports Science, Computer Science, Mathematics, or a related quantitative field.
- Proven experience in data analysis and statistical modeling, with a portfolio showcasing sports-related projects.
- Proficiency in programming languages commonly used for data analysis, such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of sports rules, strategies, and performance metrics across various disciplines.
- Excellent analytical, critical thinking, and problem-solving skills.
- Ability to translate complex data into clear, actionable insights.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for sports and a genuine interest in applying data analytics to improve performance.
- Familiarity with sports databases and APIs is a plus.
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6
Sports Analytics Specialist, Remote
Posted 9 days ago
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Job Description
Our client, a leading organization in the sports industry, is seeking a highly analytical and data-driven Sports Analytics Specialist to join their innovative team. This is a fully remote role, perfect for an individual passionate about leveraging data to enhance athletic performance, game strategy, and fan engagement. You will be responsible for collecting, processing, and analyzing vast datasets from various sports, identifying key trends, and providing actionable insights to coaches, athletes, and management. This role requires a strong blend of statistical knowledge, programming skills, and a deep understanding of sports dynamics. You will play a crucial role in shaping data-informed decisions that drive success on and off the field.
Key responsibilities include:
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field. Proven experience in data analysis and statistical modeling, preferably within the sports industry. Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R. Experience with SQL for database querying. Familiarity with data visualization tools (e.g., Tableau, Power BI). Strong understanding of statistical concepts and methodologies. Excellent analytical and problem-solving skills. Ability to interpret complex data and translate it into actionable insights. Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience. Self-motivated and able to work independently in a remote environment. Passion for sports and a keen interest in applying analytical techniques to enhance athletic performance.
Key responsibilities include:
- Collecting, cleaning, and transforming large sports-related datasets from various sources (e.g., player statistics, game data, GPS tracking).
- Developing and implementing statistical models and algorithms to analyze performance, predict outcomes, and identify strategic advantages.
- Creating compelling visualizations and dashboards to communicate complex analytical findings to non-technical stakeholders.
- Collaborating with coaching staff and athletes to understand their needs and provide data-driven recommendations.
- Monitoring key performance indicators (KPIs) and reporting on trends and insights.
- Identifying new opportunities for data collection and analysis within the sports domain.
- Staying up-to-date with the latest advancements in sports analytics, machine learning, and data science techniques.
- Developing and maintaining documentation for analytical processes and models.
- Contributing to the development of data-driven strategies for player development, team performance, and fan engagement.
- Ensuring data integrity and accuracy throughout the analysis process.
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field. Proven experience in data analysis and statistical modeling, preferably within the sports industry. Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R. Experience with SQL for database querying. Familiarity with data visualization tools (e.g., Tableau, Power BI). Strong understanding of statistical concepts and methodologies. Excellent analytical and problem-solving skills. Ability to interpret complex data and translate it into actionable insights. Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience. Self-motivated and able to work independently in a remote environment. Passion for sports and a keen interest in applying analytical techniques to enhance athletic performance.
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7
Sports Analytics Specialist, Performance Optimization
Posted 10 days ago
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Job Description
Our client is seeking a dedicated Sports Analytics Specialist to enhance athlete performance through data-driven insights. This is a fully remote position, ideal for a quantitatively skilled individual passionate about sports and leveraging data to gain a competitive edge. You will be responsible for collecting, analyzing, and interpreting complex datasets to provide actionable recommendations for coaches and athletes.
Responsibilities:
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.
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.
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8
Remote Lead Sports Analytics Specialist
Posted 15 days ago
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Job Description
Our client, a cutting-edge sports technology company, is looking for a highly analytical and passionate Lead Sports Analytics Specialist to join their fully remote team. This pivotal role will be responsible for leveraging data to uncover insights that drive performance improvements for athletes, teams, and coaches. You will develop and implement advanced analytical models, interpret complex datasets, and communicate findings in a clear and actionable manner. The ideal candidate has a strong background in sports science, statistics, and data visualization, with a proven ability to translate data into competitive advantages in a remote setting.
Responsibilities:
Responsibilities:
- Design and implement sophisticated analytical models to evaluate player performance, team strategies, and game outcomes.
- Collect, clean, and process large datasets from various sports performance tracking systems.
- Identify key performance indicators (KPIs) and trends relevant to athletic success.
- Collaborate with coaches, athletes, and performance staff to understand their analytical needs.
- Develop compelling data visualizations and reports to communicate findings effectively.
- Stay abreast of the latest advancements in sports analytics, data science, and related technologies.
- Contribute to the development of new analytical tools and methodologies.
- Manage and mentor junior analysts on the team.
- Present findings and recommendations to stakeholders, influencing decision-making.
- Ensure data integrity and security across all analytical projects.
- Master's degree or PhD in Sports Science, Statistics, Data Science, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics, performance analysis, or a related role.
- Proven experience with statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R, and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports biomechanics, physiology, and performance principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data concepts to diverse audiences.
- Demonstrated ability to manage projects and work independently in a remote environment.
- Experience with various sports performance tracking technologies (e.g., GPS, heart rate monitors, motion capture).
- Passion for sports and a drive to improve athletic performance through data.
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