2,248 Computational Biology jobs in Kenya
Lead Research Scientist - Computational Biology
Posted 10 days ago
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Job Description
Our client is seeking a highly accomplished Lead Research Scientist specializing in Computational Biology to direct cutting-edge research from their remote R&D hub. This senior position involves leveraging advanced computational techniques to analyze complex biological datasets, unravel disease mechanisms, and identify novel therapeutic targets. You will lead a team of computational biologists and bioinformaticians, fostering innovation and driving research projects from conception through to significant discoveries. The role requires a profound understanding of genomics, proteomics, systems biology, and sophisticated data analysis methodologies, all executed within a fully remote, collaborative environment.
Responsibilities:
Responsibilities:
- Lead the design and execution of computational biology research projects, including the analysis of large-scale genomic, transcriptomic, proteomic, and metabolomic data.
- Develop and implement novel computational algorithms, statistical models, and bioinformatics pipelines to address complex biological questions.
- Interpret complex biological data, identify key insights, and translate findings into actionable hypotheses and research directions.
- Mentor and guide a team of computational biologists, bioinformaticians, and data scientists.
- Collaborate closely with experimental biologists, chemists, and clinicians to integrate computational findings with experimental validation.
- Stay current with the latest advancements in computational biology, bioinformatics, machine learning, and relevant biological fields.
- Present research findings to internal teams, scientific advisory boards, and at international conferences.
- Contribute to the intellectual property strategy by identifying patentable discoveries.
- Manage project timelines, resources, and budgets effectively within a remote team structure.
- Ensure the rigorous application of statistical methods and data quality control.
- Promote best practices in computational research, data management, and reproducibility.
- Contribute to the strategic vision for computational biology research within the organization.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in computational biology or bioinformatics, with a significant focus on leading research projects.
- Proven expertise in analyzing large-scale biological datasets (genomics, transcriptomics, etc.).
- Strong proficiency in programming languages commonly used in bioinformatics (e.g., Python, R) and experience with relevant software packages and databases.
- Deep understanding of statistical modeling, machine learning, and systems biology approaches.
- Excellent ability to interpret biological data and formulate biologically relevant hypotheses.
- Exceptional communication, presentation, and interpersonal skills.
- Demonstrated experience in leading and mentoring research teams.
- Proven ability to thrive and collaborate effectively in a fully remote research environment.
- Experience with cloud computing platforms and high-performance computing clusters is highly desirable.
- A strong publication record in peer-reviewed journals.
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Principal Research Scientist - Computational Biology
Posted 16 days ago
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Job Description
WhatJobs is seeking a pioneering Principal Research Scientist specializing in Computational Biology to lead groundbreaking research initiatives within our fully remote scientific team. This senior role is at the forefront of leveraging advanced computational and statistical methods to analyze complex biological data, driving discoveries in areas such as genomics, proteomics, and drug discovery. You will be responsible for designing and executing research projects, developing novel algorithms, and interpreting results to advance our scientific understanding and therapeutic development.
As a remote Principal Research Scientist, your core responsibilities include developing and applying computational pipelines for high-throughput data analysis, building predictive models, and contributing to the interpretation of experimental outcomes. You will collaborate closely with experimental biologists, bioinformaticians, and clinicians to define research questions and translate findings into tangible scientific advancements. This position requires a deep understanding of bioinformatics tools, machine learning techniques, and statistical modeling relevant to biological systems. You will also mentor junior scientists and contribute to the scientific publications and grant proposals.
The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 8 years of post-doctoral research experience. A strong publication record in high-impact journals is essential. Exceptional analytical, problem-solving, and programming skills (e.g., Python, R) are mandatory. This remote role requires a highly motivated, self-directed individual with excellent communication skills to effectively convey complex scientific concepts to diverse audiences and foster strong collaborative relationships within a distributed research environment. You will play a pivotal role in shaping the future of our research strategy and driving innovation in biological sciences.
Key Responsibilities:
Qualifications:
As a remote Principal Research Scientist, your core responsibilities include developing and applying computational pipelines for high-throughput data analysis, building predictive models, and contributing to the interpretation of experimental outcomes. You will collaborate closely with experimental biologists, bioinformaticians, and clinicians to define research questions and translate findings into tangible scientific advancements. This position requires a deep understanding of bioinformatics tools, machine learning techniques, and statistical modeling relevant to biological systems. You will also mentor junior scientists and contribute to the scientific publications and grant proposals.
The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 8 years of post-doctoral research experience. A strong publication record in high-impact journals is essential. Exceptional analytical, problem-solving, and programming skills (e.g., Python, R) are mandatory. This remote role requires a highly motivated, self-directed individual with excellent communication skills to effectively convey complex scientific concepts to diverse audiences and foster strong collaborative relationships within a distributed research environment. You will play a pivotal role in shaping the future of our research strategy and driving innovation in biological sciences.
Key Responsibilities:
- Lead the design and execution of complex computational biology research projects.
- Develop and implement novel computational algorithms and statistical methods for biological data analysis.
- Analyze large-scale genomic, proteomic, and other omics datasets.
- Build and validate predictive models for biological phenomena and drug targets.
- Collaborate with experimental scientists to interpret results and guide future research directions.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant life sciences.
- Mentor and guide junior research staff and postdoctoral fellows.
- Contribute to scientific publications, presentations, and grant applications.
- Ensure high standards of scientific rigor, reproducibility, and data integrity.
- Communicate complex scientific findings effectively to internal and external stakeholders.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- Minimum of 8 years of post-doctoral research experience in academia or industry.
- Proven track record of leading research projects and delivering impactful results.
- Extensive experience with programming languages such as Python and R, and relevant libraries.
- Proficiency in analyzing large biological datasets (e.g., NGS, RNA-Seq, ChIP-Seq).
- Strong knowledge of machine learning, statistical modeling, and data mining techniques.
- Excellent understanding of molecular biology and genetics.
- Demonstrated ability to work independently and collaboratively in a remote research setting.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with a history of peer-reviewed publications.
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Senior Research Scientist - Computational Biology
Posted 20 days ago
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Job Description
Our client, a cutting-edge research organization, is seeking a highly accomplished Senior Research Scientist specializing in Computational Biology. This is a fully remote position, allowing you to contribute to groundbreaking scientific research from anywhere. You will play a pivotal role in developing and applying computational approaches to analyze complex biological data, drive discoveries, and accelerate research projects. The ideal candidate will have a strong background in bioinformatics, computational biology, statistics, or a related field, with extensive experience in analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design and implement computational pipelines for the analysis of large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and apply statistical and machine learning methods to extract meaningful insights from complex biological data.
- Collaborate with experimental biologists and clinicians to define research questions and design appropriate computational analyses.
- Interpret and present research findings to both technical and non-technical audiences.
- Develop and maintain high-quality, well-documented code and analytical workflows.
- Stay current with the latest advancements in computational biology, bioinformatics tools, and relevant biological domains.
- Contribute to the development of new algorithms, models, and methodologies.
- Manage research projects, including planning, execution, and reporting.
- Mentor junior scientists and contribute to the intellectual growth of the research team.
- Explore and integrate diverse data sources to answer complex biological questions.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Ensure data integrity, reproducibility, and ethical research practices.
Qualifications:
- PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of postdoctoral or industry experience in computational biology or bioinformatics.
- Expertise in analyzing high-throughput biological data (e.g., next-generation sequencing, microarrays, mass spectrometry).
- Proficiency in programming languages commonly used in computational biology (e.g., Python, R, Perl).
- Experience with statistical modeling, machine learning techniques, and data visualization tools.
- Familiarity with common bioinformatics databases, tools, and software packages.
- Strong understanding of molecular biology, genetics, or other relevant biological domains.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to effectively communicate complex scientific concepts.
- Proven ability to work independently and collaboratively in a remote research environment.
- Track record of scientific publications in reputable journals.
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Principal Scientist - Computational Biology
Posted 20 days ago
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Job Description
Our client, a groundbreaking research and development institution, is seeking a highly accomplished Principal Scientist to lead cutting-edge research in Computational Biology. This is a fully remote opportunity, allowing world-class scientists to contribute to transformative discoveries without geographical constraints. You will be at the forefront of applying computational approaches to complex biological problems, driving innovation in areas such as genomics, proteomics, and drug discovery. Your expertise will be crucial in analyzing large-scale biological datasets and developing predictive models.
Key Responsibilities:
Key Responsibilities:
- Design and execute advanced computational biology research projects, focusing on areas like genomics, transcriptomics, proteomics, and systems biology.
- Develop and implement novel computational algorithms and statistical methods for analyzing large, complex biological datasets.
- Collaborate with experimental biologists, bioinformaticians, and clinicians to interpret results and generate biological insights.
- Build and maintain robust analytical pipelines and databases for biological data management.
- Mentor and guide junior researchers and post-doctoral fellows, fostering a collaborative research environment.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and related scientific fields.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Contribute to grant writing and secure external funding for research initiatives.
- Ensure the highest standards of data integrity, reproducibility, and scientific rigor.
- Translate complex biological questions into computational problems and vice versa.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Extensive research experience (10+ years) with a strong publication record in top-tier scientific journals.
- Expertise in analyzing large-scale biological data, including next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and shell scripting, along with experience in relevant bioinformatics tools and databases.
- Deep understanding of statistical modeling, machine learning, and algorithm development.
- Experience with high-performance computing environments and cloud platforms.
- Proven ability to lead research projects, mentor junior scientists, and collaborate effectively within multidisciplinary teams.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to work independently and manage multiple research priorities in a remote setting.
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Principal Scientist - Bioinformatics & Computational Biology
Posted 16 days ago
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Job Description
Our client, a cutting-edge research institution dedicated to scientific advancement, is seeking an accomplished Principal Scientist in Bioinformatics and Computational Biology to lead their pioneering, fully remote research team. This high-impact role is responsible for driving innovative research projects, developing novel computational approaches, and analyzing complex biological datasets to unlock new scientific discoveries. The ideal candidate will possess a profound understanding of bioinformatics tools, algorithms, statistical methods, and programming languages relevant to modern biological research. You will be instrumental in designing and executing research strategies, interpreting findings, and contributing significantly to publications and grant proposals.
This is a remote-first opportunity, demanding exceptional scientific rigor, strong analytical and problem-solving skills, and advanced communication abilities to effectively collaborate with researchers globally. You will lead the development and application of computational pipelines for large-scale genomics, proteomics, or other omics data. Responsibilities include managing research projects, mentoring junior scientists, presenting research findings at conferences, and staying at the forefront of technological advancements in the field. The successful candidate will contribute to groundbreaking research that may have implications for health, agriculture, or environmental science, with a particular focus on applications relevant to research initiatives connected to the **Machakos, Machakos, KE** region. A strong publication record and a history of securing research funding are highly desirable.
Key Responsibilities:
This is a remote-first opportunity, demanding exceptional scientific rigor, strong analytical and problem-solving skills, and advanced communication abilities to effectively collaborate with researchers globally. You will lead the development and application of computational pipelines for large-scale genomics, proteomics, or other omics data. Responsibilities include managing research projects, mentoring junior scientists, presenting research findings at conferences, and staying at the forefront of technological advancements in the field. The successful candidate will contribute to groundbreaking research that may have implications for health, agriculture, or environmental science, with a particular focus on applications relevant to research initiatives connected to the **Machakos, Machakos, KE** region. A strong publication record and a history of securing research funding are highly desirable.
Key Responsibilities:
- Lead and conduct research projects in bioinformatics and computational biology.
- Develop and implement novel computational algorithms and pipelines.
- Analyze large-scale biological datasets (e.g., genomics, transcriptomics, proteomics).
- Interpret research findings and contribute to scientific publications.
- Collaborate with experimental biologists and other researchers.
- Mentor and guide junior scientists and research staff.
- Write and secure research grants.
- Stay abreast of the latest advancements in bioinformatics and related fields.
- Present research findings at scientific conferences and meetings.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in a relevant field.
- Demonstrated expertise in bioinformatics tools, databases, and analysis methodologies.
- Proficiency in programming languages such as Python, R, and Perl.
- Strong understanding of statistical methods and machine learning techniques.
- Proven track record of publications in high-impact journals.
- Experience in grant writing and securing research funding.
- Excellent communication, leadership, and problem-solving skills for remote collaboration.
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4
Principal Scientist - Bioinformatics and Computational Biology
Posted 18 days ago
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Job Description
Our client is actively recruiting a distinguished Principal Scientist specializing in Bioinformatics and Computational Biology. This is a fully remote position, offering a unique opportunity to leverage your advanced analytical skills in a leading research environment without geographical constraints. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a significant track record of independent research and impactful publications. You will be responsible for designing and implementing sophisticated computational strategies to analyze large-scale biological datasets, including genomics, transcriptomics, proteomics, and metabolomics. Key duties involve developing and applying advanced algorithms and statistical methods for data analysis, interpretation, and visualization. The successful candidate will lead projects focused on identifying biological insights, discovering biomarkers, and contributing to drug discovery or disease research. You will collaborate closely with bench scientists, clinicians, and other researchers to integrate computational findings with experimental data and drive scientific advancements. Proficiency in programming languages such as Python or R, along with extensive experience in using bioinformatics tools, databases, and high-performance computing environments, is essential. A strong understanding of molecular biology, genetics, and relevant biological pathways is also crucial. The ability to mentor junior scientists, manage research projects, and effectively communicate complex findings to diverse audiences is paramount. We are seeking an individual with exceptional analytical rigor, innovative thinking, and a passion for applying computational approaches to solve complex biological problems. This is a senior role for an accomplished scientist eager to make a significant contribution to cutting-edge research. This role is located in Thika, Kiambu, KE , but fully remote.
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Remote Principal Research Scientist - Computational Biology
Posted 3 days ago
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Job Description
Our client, a pioneering scientific research institution at the forefront of biomedical innovation, is seeking an exceptional Principal Research Scientist specializing in Computational Biology to join their fully remote, world-class research team. This senior role is pivotal in driving cutting-edge research using advanced computational approaches to unravel complex biological questions. You will lead the design and execution of large-scale computational studies, develop novel algorithms and methodologies, and collaborate with experimental biologists to translate findings into impactful discoveries. The ideal candidate is a visionary scientist with a proven track record of significant contributions to the field.
Responsibilities:
Responsibilities:
- Lead the design and implementation of computational biology research projects, defining research questions, methodologies, and experimental plans.
- Develop and apply advanced computational algorithms, statistical models, and machine learning techniques to analyze large-scale biological datasets (e.g., genomics, transcriptomics, proteomics, epigenomics).
- Collaborate closely with experimental biologists, clinicians, and other researchers to interpret results and guide future research directions.
- Develop and maintain high-performance computing infrastructure and pipelines for complex data analysis.
- Supervise and mentor junior scientists, postdocs, and research assistants, fostering a collaborative and innovative research environment.
- Disseminate research findings through publications in high-impact peer-reviewed journals and presentations at international conferences.
- Seek and secure external funding through grant writing and proposal development.
- Stay at the cutting edge of computational biology, bioinformatics, and related fields, introducing novel techniques and tools.
- Contribute to the strategic planning and vision of the research group and institution.
- Ensure the reproducibility and rigor of all computational analyses.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 10 years of post-doctoral research experience in computational biology or a closely related area, with a demonstrated record of leading independent research.
- Extensive experience in analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics.
- Proficiency in programming languages such as Python, R, and/or C++.
- Deep understanding of statistical modeling, machine learning algorithms, and bioinformatics tools.
- Experience with high-performance computing environments (e.g., clusters, cloud computing).
- Proven ability to develop novel computational methods and pipelines.
- Strong publication record in leading scientific journals.
- Excellent communication, presentation, and interpersonal skills, essential for effective remote collaboration.
- Demonstrated leadership and mentoring capabilities.
- A passion for scientific discovery and advancing human health.
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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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Senior Bioinformatics Scientist - Computational Biology
Posted 5 days ago
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Job Description
Our client is seeking a highly experienced Senior Bioinformatics Scientist to lead critical computational biology research initiatives. This is a fully remote position, offering a unique opportunity to contribute to cutting-edge scientific advancements from anywhere. The successful candidate will be responsible for developing and applying computational methods to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. You will play a key role in designing research strategies, interpreting complex data, and contributing to publications in high-impact journals. The ideal candidate will possess a strong background in computer science, statistics, and biology, with extensive experience in handling and analyzing next-generation sequencing (NGS) data. Key responsibilities include building robust bioinformatics pipelines, implementing machine learning algorithms for biological discovery, and collaborating with experimental biologists to address complex research questions. This role demands excellent programming skills (e.g., Python, R, Bash), familiarity with cloud computing platforms (AWS, GCP), and experience with version control systems (Git). You will be expected to work independently, manage multiple projects, and effectively communicate findings to both technical and non-technical audiences. While the role is remote, it is anchored in **Mlolongo, Machakos, KE**. We are seeking an innovative thinker with a passion for data-driven biological discovery and a commitment to scientific excellence.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement computational pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics).
- Design and execute bioinformatics analyses to support research projects.
- Apply statistical methods and machine learning algorithms for biological discovery.
- Interpret complex biological data and generate actionable insights.
- Collaborate with experimental biologists to define research questions and strategies.
- Contribute to the writing and publication of scientific manuscripts.
- Present research findings at scientific conferences and internal meetings.
- Optimize bioinformatics workflows for efficiency and scalability.
- Maintain and manage research data integrity and documentation.
- Stay abreast of the latest advancements in bioinformatics and computational biology.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-graduate experience in bioinformatics or computational biology.
- Extensive experience with next-generation sequencing (NGS) data analysis.
- Proficiency in programming languages such as Python, R, and Bash.
- Strong knowledge of statistical methods and machine learning techniques.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
- Familiarity with version control systems (e.g., Git).
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage projects effectively in a remote setting.
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8
Senior Research Scientist - Computational Biology (Remote)
Posted 20 days ago
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Job Description
Our client, a cutting-edge research institution focused on Scientific Research & Development, is seeking a highly motivated Senior Research Scientist specializing in Computational Biology for a hybrid role. This position offers the opportunity to contribute to groundbreaking research projects, analyzing complex biological datasets to uncover novel insights and drive scientific discovery. You will be responsible for developing and applying advanced computational methods, algorithms, and statistical models to biological data, including genomics, proteomics, and transcriptomics. The ideal candidate will possess a PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, coupled with significant post-doctoral or industry experience. Proven expertise in programming languages such as Python, R, and/or Perl, along with experience using relevant bioinformatics tools and databases, is essential. You will collaborate closely with experimental biologists, clinicians, and other researchers to design experiments, interpret results, and publish findings in high-impact scientific journals. Responsibilities include managing research projects, mentoring junior scientists, and seeking external funding opportunities. As this role involves a hybrid work arrangement, you must be comfortable working both independently and collaboratively in a team environment, with the ability to transition effectively between remote and on-site work as needed. Excellent written and verbal communication skills are crucial for presenting research findings and contributing to scientific discourse. This is an exceptional opportunity for a talented scientist to advance their career in a dynamic research setting, making significant contributions to the field of biological sciences from the vicinity of Eldoret, Uasin Gishu, KE .
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