2,205 Senior Research Scientist Computational Biology jobs in Kenya
Lead Research Scientist - Computational Biology
Posted 12 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 13 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 22 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 7 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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Senior Research Scientist - Computational Biology - Remote
Posted 22 days ago
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Job Description
Our client is a pioneering research institution seeking an accomplished Senior Research Scientist specializing in Computational Biology. This is a fully remote position, offering an unparalleled opportunity for a motivated scientist to contribute to groundbreaking research from their preferred location. The ideal candidate will possess a strong background in bioinformatics, data analysis, algorithm development, and a proven track record of successfully applying computational approaches to complex biological problems. You will play a critical role in designing and executing computational studies, analyzing large-scale biological datasets, and contributing to the development of novel scientific insights.
Responsibilities:
Responsibilities:
- Design, develop, and implement computational methods and algorithms for analyzing large-scale biological data, including genomics, transcriptomics, proteomics, and metabolomics.
- Collaborate with experimental biologists and other researchers to define research questions and develop appropriate computational strategies.
- Analyze and interpret complex biological datasets to identify patterns, generate hypotheses, and draw meaningful conclusions.
- Develop and maintain robust data analysis pipelines and workflows.
- Contribute to the development of novel computational tools and software for biological research.
- Stay current with the latest advancements in computational biology, bioinformatics, and relevant fields.
- Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences.
- Mentor junior researchers and provide technical guidance.
- Manage computational resources and ensure data integrity and security.
- Contribute to grant writing and funding proposals.
- Evaluate and integrate emerging computational technologies and methodologies.
- Ensure compliance with data privacy and ethical research standards.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in computational biology or bioinformatics.
- Extensive experience with programming languages commonly used in bioinformatics, such as Python, R, Perl, or Java.
- Proficiency in analyzing large-scale biological datasets using various bioinformatics tools and databases.
- Strong understanding of statistical modeling, machine learning, and data mining techniques.
- Experience with high-performance computing environments and cloud computing platforms is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Demonstrated ability to work independently and lead research projects in a remote setting.
- Strong written and verbal communication skills, with a proven publication record.
- Ability to effectively collaborate with cross-disciplinary teams.
- Experience with specific areas such as single-cell analysis, genome assembly, or pathway analysis is a plus.
- Familiarity with version control systems (e.g., Git) is beneficial.
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Remote Senior Research Scientist - Computational Biology
Posted 18 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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5
Lead AI Research Scientist - Computational Biology
Posted 22 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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Principal Scientist - Computational Biology
Posted 22 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 18 days ago
Job Viewed
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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Principal Scientist, Computational Biology (Remote)
Posted 22 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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