2,248 Principal Scientist Computational Biology Remote jobs in Kenya
Principal Scientist, Computational Biology (Remote)
Posted 20 days ago
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Job Description
Our client, a groundbreaking biotechnology firm at the forefront of genetic research, is seeking a highly accomplished and innovative Principal Scientist in Computational Biology. This is a premier remote position for an expert seeking to make significant contributions to drug discovery and development. You will lead complex computational biology projects, applying advanced bioinformatics and data science techniques to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. Key responsibilities involve developing and implementing novel algorithms and analytical pipelines, interpreting complex biological data to derive actionable insights, and collaborating closely with bench scientists, clinicians, and other computational experts to address critical research questions. You will be instrumental in designing experiments, validating computational findings, and contributing to scientific publications and patent applications. This role requires a deep understanding of molecular biology, genetics, and disease mechanisms, coupled with exceptional programming skills. The ideal candidate will possess strong leadership qualities, mentorship capabilities, and the ability to drive scientific initiatives forward independently. While this role is fully remote, it aligns with research initiatives originating from the **Meru, Meru, KE** area. A Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 7-10 years of post-doctoral or industry experience, is essential. Demonstrated expertise in programming languages such as Python or R, proficiency with relevant bioinformatics tools and databases, and experience with machine learning techniques are mandatory. Excellent written and verbal communication skills are crucial for effective remote collaboration and scientific dissemination.
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Remote Principal Research Scientist - Computational Biology
Posted 6 days ago
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Job Description
Our client, a leading organization in Scientific Research & Development, is seeking an exceptional Principal Research Scientist with expertise in Computational Biology to join their innovative, fully remote team. This senior role will drive cutting-edge research initiatives, focusing on the application of computational methods to biological problems. You will be instrumental in designing and executing complex research projects, developing novel algorithms, and analyzing large-scale biological datasets, including genomics, transcriptomics, proteomics, and metabolomics data. Your work will contribute to significant breakthroughs in understanding disease mechanisms, discovering new therapeutic targets, and advancing personalized medicine. The ideal candidate possesses a deep theoretical understanding of biological systems coupled with advanced computational skills. Proficiency in programming languages such as Python, R, or Julia, along with experience in machine learning, statistical modeling, and bioinformatics tools, is essential. You will be responsible for leading research collaborations, mentoring junior scientists, and disseminating findings through publications in high-impact journals and presentations at international conferences. This position requires a Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a closely related field, with a substantial track record of independent research and publications. The ability to think critically, solve complex problems creatively, and communicate scientific concepts effectively to diverse audiences is paramount. As a remote Principal Scientist, you will require exceptional self-discipline, project management skills, and the ability to thrive in an autonomous work environment. You will have the opportunity to shape the direction of critical research endeavors and make a lasting impact on the scientific community and human health. Join a world-class research group committed to pushing the boundaries of scientific discovery.
Responsibilities:
Qualifications:
Responsibilities:
- Lead and execute independent research projects in computational biology.
- Design and develop novel computational algorithms and statistical models for biological data analysis.
- Analyze large-scale datasets including genomics, transcriptomics, proteomics, and metabolomics.
- Interpret research findings and translate them into actionable biological insights.
- Collaborate with experimental biologists and clinicians to design and interpret studies.
- Mentor and guide junior research scientists and postdoctoral fellows.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Secure research funding through grant writing and proposal development.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant biological fields.
- Develop and maintain robust computational pipelines and workflows.
- Contribute to the strategic direction of the research group and organization.
- Ensure adherence to ethical guidelines and best practices in research.
- Manage research projects, timelines, and resources effectively.
- Evaluate and implement new computational tools and technologies.
- Foster a collaborative and innovative research environment.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in academia or industry.
- Demonstrated track record of significant contributions to the field through publications in high-impact journals.
- Expertise in programming languages such as Python, R, or Julia.
- Strong experience with machine learning, statistical modeling, and data mining techniques.
- Proficiency in analyzing various types of biological data (genomics, transcriptomics, etc.).
- Experience with bioinformatics tools and databases.
- Excellent problem-solving, critical thinking, and analytical skills.
- Superb communication and presentation skills, with the ability to convey complex ideas clearly.
- Proven ability to lead research projects and mentor junior scientists.
- Ability to work independently, manage multiple priorities, and thrive in a remote setting.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Grant writing experience is highly desirable.
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Sports Analytics Specialist
Posted 20 days ago
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Job Description
Our client, a cutting-edge sports analytics firm, is looking for a talented and passionate Sports Analytics Specialist to join their fully remote team. This is an exciting opportunity for an individual with a strong aptitude for data analysis, statistical modeling, and a deep understanding of sports. As a Sports Analytics Specialist, you will be responsible for collecting, cleaning, and analyzing vast datasets related to athletic performance, game statistics, and player behavior across various sports. Your insights will be critical in informing strategic decisions for athletes, teams, and sports organizations, aiming to optimize performance, identify talent, and enhance game strategies. You will develop predictive models, create visualizations, and present complex findings in a clear and understandable manner to both technical and non-technical stakeholders. The ideal candidate will possess a robust background in statistics, mathematics, computer science, or a related quantitative field, coupled with a genuine passion for sports. Proficiency in data analysis tools and programming languages such as Python, R, or SQL is essential. You should be adept at translating raw data into actionable recommendations and possess excellent communication skills to articulate your findings effectively. This remote role requires a self-starter with a proactive approach to problem-solving and a commitment to staying ahead of the curve in the evolving field of sports analytics. If you are driven by data, love sports, and are looking for a challenging and rewarding remote career, this position is perfect for you.
Responsibilities:
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.
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Remote Sports Analytics Specialist
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Sports Analytics Specialist to join their remote-first operations. This role is pivotal in providing in-depth performance analysis for various sports teams and athletes, leveraging data to inform strategic decision-making and enhance performance. As a Remote Sports Analytics Specialist, you will be responsible for collecting, cleaning, and interpreting vast datasets related to player statistics, game performance, and training regimens. You will utilize advanced statistical modeling, machine learning techniques, and data visualization tools to identify trends, uncover insights, and develop predictive models. Your analysis will directly impact coaching strategies, player development plans, and game-day decision-making. The ideal candidate will have a strong background in sports science, statistics, data science, or a related quantitative field. Proficiency in programming languages such as Python or R, along with experience in database management and SQL, is essential. Familiarity with sports-specific data sources and analytics platforms is a significant advantage. You will work collaboratively with coaches, performance analysts, and management teams, communicating complex findings in a clear and concise manner through comprehensive reports and presentations. This is a fully remote position, requiring strong self-discipline, excellent time management skills, and the ability to work autonomously. A passion for sports and a keen eye for detail are paramount. You will contribute to optimizing athletic performance and achieving competitive advantages through data-driven insights. The role involves staying abreast of the latest trends in sports analytics and incorporating new methodologies into your work. If you are passionate about the intersection of sports and data, possess exceptional analytical skills, and are looking for a challenging and rewarding remote opportunity, this is the perfect fit. This role offers the flexibility to contribute your expertise from anywhere, impacting the success of sports organizations. Join our client's innovative team and help shape the future of sports performance analysis. This position is based remotely but connected to the operations in **Nyeri, Nyeri, KE**, offering a unique blend of global impact and local presence.
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Lead Sports Analytics Specialist
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Lead Sports Analytics Specialist to join their innovative team. This is a fully remote position, offering the opportunity to leverage cutting-edge data science techniques to enhance athletic performance and strategic decision-making within the sports domain. You will be responsible for collecting, analyzing, and interpreting complex datasets related to player performance, team dynamics, and game strategies. Your insights will directly impact coaching decisions, player development, and competitive advantage.
Key Responsibilities:
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.
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Senior Sports Analytics Specialist
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join their dynamic team. This role is fully remote, offering the flexibility to work from anywhere within Kenya while contributing to cutting-edge sports performance analysis. You will be responsible for collecting, cleaning, and interpreting complex datasets related to athlete performance, game statistics, and training methodologies. Your insights will directly inform strategic decisions, helping to optimize player development, team tactics, and injury prevention programs. This position demands a strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques. You will collaborate closely with coaches, performance staff, and management to translate data findings into actionable recommendations. Experience with sports-specific performance metrics and a passion for the sports industry are crucial. The ideal candidate will possess excellent communication skills, the ability to present technical information to non-technical audiences, and a proven track record of driving measurable improvements through data analysis. Your responsibilities will include developing predictive models for player performance, identifying key performance indicators (KPIs), and creating comprehensive reports and dashboards. You will also stay abreast of the latest trends and technologies in sports analytics, ensuring our client remains at the forefront of innovation. This is an exciting opportunity for a talented individual to make a significant impact in the world of sports, leveraging data to achieve peak performance. The work environment is collaborative and fast-paced, with a strong emphasis on continuous learning and professional growth. If you are passionate about sports and possess exceptional analytical skills, we encourage you to apply for this unique remote opportunity based in Ongata Rongai, Kajiado, KE .
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5
Sports Analytics Specialist - Remote
Posted 20 days ago
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Job Description
Our client is seeking a passionate and data-savvy Sports Analytics Specialist to join their innovative team. This is a fully remote position, allowing you to leverage your analytical skills to uncover insights and inform strategies within the exciting world of sports. You will be responsible for collecting, cleaning, and analyzing large datasets related to player performance, game statistics, team dynamics, and fan engagement. Your insights will be crucial in providing actionable recommendations to coaches, management, and marketing teams to enhance performance, optimize strategies, and improve fan experiences.
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:
Required Qualifications:
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.
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6
Sports Analytics Specialist, Performance Optimization
Posted 4 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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7
Senior HR Analytics Specialist
Posted 20 days ago
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Job Description
Our client, a leading international organization, is seeking a highly analytical and strategic Senior HR Analytics Specialist to join their fully remote People Operations team. This crucial role will focus on leveraging data to drive informed decision-making across all aspects of human resources, from talent acquisition and development to employee engagement and retention. You will be responsible for designing, developing, and implementing advanced HR analytics solutions, including predictive modeling and dashboard creation. Your work will involve analyzing complex datasets related to workforce demographics, performance, compensation, turnover, and engagement to identify key trends, patterns, and actionable insights. This is a remote-first position, requiring exceptional communication and collaboration skills to effectively partner with HR business partners, leadership, and other stakeholders across the organization. You will conduct virtual data deep dives, present findings and recommendations, and influence HR strategy with data-driven evidence. The ideal candidate will possess a strong understanding of HR processes, coupled with expertise in data analysis, statistical modeling, and visualization tools. Your ability to translate complex HR data into clear, concise, and actionable business insights will be essential for success. We are looking for a proactive, innovative individual with a passion for using data to build a better workplace.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement HR analytics strategies and solutions.
- Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
- Develop and maintain HR dashboards and reports to visualize key metrics and insights.
- Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
- Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Ensure data integrity, accuracy, and compliance with data privacy regulations.
- Stay current with the latest trends and best practices in HR analytics and people data science.
- Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
- Collaborate with IT and data management teams to ensure robust data infrastructure.
Qualifications:
- Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
- Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
- Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
- Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication and presentation skills.
- Ability to work independently and manage multiple complex projects in a remote environment.
- Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
- Demonstrated ability to influence stakeholders and drive data-informed decision-making.
- Strong ethical grounding and commitment to data privacy.
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8
Remote Lead Sports Analytics Specialist
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Lead Sports Analytics Specialist to join their innovative team. This is a fully remote position, allowing you to contribute your expertise from anywhere. In this role, you will be responsible for analyzing vast amounts of sports data to provide strategic insights and performance improvements for athletes and teams. You will develop and implement advanced statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize game strategies. Your work will directly impact decision-making regarding player performance, recruitment, and tactical planning. The ideal candidate will have a strong background in statistics, data science, or a related quantitative field, combined with a passion for sports. Proven experience in data visualization and presenting complex findings to diverse audiences, including coaches and management, is crucial. You should be proficient in data analysis tools and programming languages such as Python, R, and SQL. Experience with sports-specific data platforms and performance metrics is a significant plus. This role demands excellent problem-solving skills, a meticulous attention to detail, and the ability to work independently in a remote setting. You will lead projects, mentor junior analysts, and contribute to the continuous evolution of our client's analytics capabilities. The opportunity is based in **Kakamega, Kakamega, KE**, but the role is entirely remote, providing the flexibility to work from your preferred location while driving significant advancements in sports performance through data.
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