2,248 Senior Bioinformatician Computational Biology jobs in Kenya
Lead Bioinformatician - Computational Biology
Posted 11 days ago
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Job Description
Our client is looking for a highly skilled and experienced Lead Bioinformatician to drive computational biology research. This is a fully remote opportunity, enabling you to contribute your expertise to groundbreaking scientific projects without geographical constraints. You will be responsible for developing and implementing cutting-edge bioinformatics pipelines, analyzing large-scale biological datasets (genomics, transcriptomics, proteomics), and extracting meaningful insights to support research objectives. Your role will involve leading a team of bioinformaticians, mentoring junior staff, and collaborating closely with biologists, geneticists, and other researchers. Key responsibilities include algorithm development, statistical analysis, data visualization, and contributing to scientific publications. The ideal candidate will have a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a proven track record of managing complex bioinformatics projects. Expertise in programming languages such as Python and R, experience with cloud computing platforms, and a deep understanding of statistical methods for biological data analysis are essential. Excellent communication and leadership skills are critical for coordinating remote teams and presenting complex findings effectively. We are seeking an innovative and proactive individual passionate about leveraging computational approaches to advance biological understanding, contributing to research efforts that may involve data originating from **Garissa, Garissa, KE**, and other diverse environments, all within a collaborative, remote-first setting.
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Senior Bioinformatician - Computational Biology
Posted 10 days ago
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Job Description
Our client, a dynamic research institution at the forefront of biological discovery, is seeking a talented Senior Bioinformatician specializing in Computational Biology to join their fully remote scientific team. This role is essential for analyzing and interpreting complex biological datasets generated from high-throughput experiments, including genomics, transcriptomics, proteomics, and metabolomics. You will be responsible for developing and implementing sophisticated computational pipelines, algorithms, and statistical methods to extract meaningful insights from large-scale biological data. This includes designing experiments, managing data integrity, performing rigorous statistical analysis, and visualizing results to support research objectives. The ideal candidate will have a strong understanding of molecular biology and genetics, coupled with advanced programming skills in languages such as Python, R, and possibly Perl or Java. Expertise in bioinformatics databases, sequence analysis tools, machine learning techniques, and statistical modeling is crucial. You will collaborate closely with bench scientists, clinicians, and other bioinformaticians to address complex biological questions and drive research forward. This role requires excellent communication skills to effectively present complex findings to both technical and non-technical audiences. As a fully remote team member, you will utilize advanced collaboration platforms and version control systems (e.g., Git) to manage projects and share code efficiently. The ability to work independently, manage multiple projects, and adapt to evolving research needs is paramount. This is an exceptional opportunity to contribute to groundbreaking research in areas such as disease mechanisms, drug discovery, and personalized medicine.
Responsibilities:
Responsibilities:
- Develop and implement computational pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, etc.).
- Perform statistical analysis and machine learning to identify patterns and insights.
- Design and manage bioinformatics databases and workflows.
- Collaborate with biologists and researchers to define research questions and data analysis strategies.
- Visualize complex biological data and present findings clearly.
- Write high-quality code and documentation for bioinformatics tools and scripts.
- Stay current with the latest advancements in bioinformatics, computational biology, and related fields.
- Contribute to manuscript preparation and grant writing.
- Ensure data integrity, reproducibility, and adherence to best practices.
- Mentor junior bioinformaticians and research staff.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics analysis and computational biology research.
- Proficiency in programming languages such as Python and R for data analysis and tool development.
- Strong experience with bioinformatics databases, sequence analysis tools, and statistical methods.
- Familiarity with machine learning algorithms and their application in biology.
- Experience with data visualization tools and techniques.
- Excellent understanding of molecular biology, genetics, and genomics.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote research environment.
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Senior Bioinformatician - Computational Biology (Remote)
Posted 20 days ago
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Job Description
Our client, a forward-thinking research organization, is seeking a highly skilled and experienced Senior Bioinformatician specializing in Computational Biology to join their elite, fully remote scientific team. This role is instrumental in driving cutting-edge research by analyzing complex biological datasets, developing novel computational tools, and contributing to groundbreaking discoveries. You will apply your expertise in genomics, transcriptomics, proteomics, and other high-throughput data analysis techniques to interpret experimental results and generate actionable insights. The ideal candidate possesses a strong background in bioinformatics, statistics, and computer science, coupled with experience in programming languages such as Python or R. This position demands a rigorous scientific approach, excellent problem-solving skills, and the ability to collaborate effectively with bench scientists and other computational researchers in a virtual setting. Key Responsibilities:
- Design and implement computational strategies for the analysis of large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and maintain bioinformatics pipelines and software tools for data processing, analysis, and visualization.
- Perform statistical analysis and machine learning to identify patterns, correlations, and predictive models in biological data.
- Interpret complex results and provide biological insights to research teams.
- Collaborate with experimental biologists to define research questions and design appropriate computational approaches.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Contribute to the writing of research manuscripts, grant proposals, and technical documentation.
- Manage and curate biological databases.
- Mentor junior bioinformaticians and research staff.
- Present findings at scientific conferences and internal meetings.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of hands-on experience in bioinformatics or computational biology research.
- Proven expertise in analyzing large-scale omics data (e.g., NGS data).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Experience with bioinformatics databases, tools, and algorithms (e.g., BLAST, GATK, etc.).
- Strong understanding of statistical methods and machine learning techniques.
- Familiarity with high-performance computing environments (e.g., HPC clusters, cloud computing).
- Excellent problem-solving, critical thinking, and analytical skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Publications in peer-reviewed journals are highly desirable.
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Lead Research Scientist - Computational Biology
Posted 11 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 11 days ago
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Job Description
Are you a visionary Principal Research Scientist passionate about computational biology and its impact on scientific advancement? Our client, a leading organization in scientific research and development, is seeking an exceptional individual to join their fully remote R&D team. In this critical role, you will lead innovative projects focused on analyzing complex biological datasets, developing novel computational methodologies, and driving discoveries in areas such as genomics, proteomics, and systems biology. You will be responsible for designing experiments, developing algorithms, and interpreting results to advance our understanding of biological systems. This position demands a deep scientific curiosity, exceptional analytical prowess, and the ability to translate complex research into tangible outcomes.
Responsibilities:
Qualifications:
Responsibilities:
- Design and implement computational strategies to analyze large-scale biological datasets (genomic, transcriptomic, proteomic, etc.).
- Develop and validate novel algorithms and statistical models for biological data analysis.
- Collaborate with experimental biologists to design research studies and interpret experimental results.
- Lead research projects from conception to publication, guiding junior scientists and research associates.
- Author high-impact publications in peer-reviewed journals and present findings at international conferences.
- Contribute to grant writing and secure external funding for research initiatives.
- Mentor and supervise a team of computational biologists and bioinformaticians.
- Stay current with the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Ensure rigorous data integrity and reproducibility of research findings.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience in a relevant scientific discipline.
- Proven track record of leading independent research projects and delivering impactful scientific results.
- Expertise in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with high-performance computing environments.
- In-depth knowledge of statistical methods, machine learning, and data mining techniques applied to biological data.
- Excellent communication and presentation skills, with the ability to articulate complex scientific concepts to diverse audiences.
- Demonstrated leadership capabilities and experience managing research teams.
- Strong publication record in reputable scientific journals.
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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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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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6
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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Remote Senior Research Scientist - Computational Biology
Posted 16 days ago
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Job Description
Our client, a cutting-edge biotechnology company, is seeking a highly skilled and innovative Senior Research Scientist specializing in Computational Biology to join our fully remote R&D team. This position is ideal for an experienced scientist passionate about leveraging computational approaches to solve complex biological problems and drive discovery. You will be responsible for developing and applying advanced computational methods, algorithms, and statistical models to analyze large-scale biological datasets, including genomics, proteomics, and transcriptomics. Your work will contribute to key research projects focused on understanding disease mechanisms, identifying novel drug targets, and developing personalized medicine strategies. Key responsibilities include designing and executing computational experiments, interpreting results, and collaborating closely with experimental biologists, bioinformaticians, and clinicians in a remote setting. You will also be expected to stay abreast of the latest advancements in computational biology and bioinformatics, contributing to the intellectual property of the company. The ideal candidate possesses a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 5 years of post-doctoral or industry research experience. Proven expertise in analyzing high-throughput biological data, proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and databases are essential. Strong analytical, problem-solving, and critical thinking skills are paramount. You must be able to work independently, manage multiple projects, and communicate complex scientific concepts clearly and concisely to diverse audiences. This is an exceptional opportunity to contribute to groundbreaking research in a flexible, remote work environment and collaborate with a world-class team.
Key Responsibilities:
Key Responsibilities:
- Develop and implement computational pipelines for analyzing biological data.
- Apply statistical methods and machine learning to biological datasets.
- Analyze genomics, proteomics, and transcriptomics data.
- Identify and validate novel biological targets and biomarkers.
- Collaborate with experimental biologists and other researchers remotely.
- Interpret complex scientific results and communicate findings effectively.
- Contribute to research publications and presentations.
- Stay current with advancements in computational biology and bioinformatics.
- Design and manage computational experiments.
- Contribute to the development of new research methodologies.
- Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of research experience in computational biology or bioinformatics.
- Demonstrated expertise in analyzing large-scale biological datasets (genomics, proteomics, etc.).
- Proficiency in programming languages such as Python or R.
- Experience with bioinformatics tools, databases, and software packages.
- Strong understanding of statistical modeling and machine learning techniques.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for remote collaboration.
- Ability to work independently and manage multiple research projects.
- Proven ability to interpret and present complex scientific data.
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8
Lead AI Research Scientist - Computational Biology
Posted 20 days ago
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Job Description
Our client is a cutting-edge scientific research organization seeking a brilliant Lead AI Research Scientist to spearhead advancements in computational biology. This is a fully remote, impactful role where you will leverage artificial intelligence and machine learning to unlock new biological insights and drive therapeutic innovation. You will lead a team of talented researchers, focusing on developing novel AI algorithms and models for analyzing complex biological datasets, including genomics, proteomics, and transcriptomics. Your work will directly contribute to understanding disease mechanisms, identifying biomarkers, and designing personalized treatment strategies. Key responsibilities include designing and implementing advanced ML pipelines, conducting rigorous experimental validation, and publishing findings in top-tier scientific journals. You will collaborate with biologists, clinicians, and other AI scientists to translate research findings into tangible applications. The ideal candidate possesses a Ph.D. in Computer Science, Bioinformatics, or a related quantitative field, with a strong publication record and significant experience in applying AI to biological problems. You must demonstrate exceptional leadership qualities, a passion for scientific discovery, and the ability to guide complex research projects from conception to completion in a remote setting.
Responsibilities:
Responsibilities:
- Lead and mentor a team of AI researchers in computational biology projects.
- Develop and implement state-of-the-art AI/ML algorithms for biological data analysis.
- Design and execute research experiments, validating AI models rigorously.
- Publish research findings in leading peer-reviewed journals and conferences.
- Collaborate with cross-functional teams of biologists, chemists, and clinicians.
- Translate complex biological problems into solvable AI challenges.
- Stay current with the latest advancements in AI, ML, and computational biology.
- Contribute to grant proposals and secure research funding.
- Manage research project timelines and deliverables effectively.
- Ph.D. in Computer Science, Bioinformatics, Statistics, or a related field.
- Proven track record of significant research contributions in AI/ML for biology.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and relevant scientific libraries.
- Experience with biological data types (genomics, proteomics, etc.).
- Excellent analytical, critical thinking, and problem-solving abilities.
- Demonstrated leadership and team management skills.
- Exceptional communication and presentation skills for remote collaboration.
- Ability to work independently and drive research initiatives.
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