What Jobs are available for Lead Bioinformatician in Kenya?
Showing 2268 Lead Bioinformatician jobs in Kenya
Lead Bioinformatician
Posted 27 days ago
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Job Description
Our client is seeking a highly experienced Lead Bioinformatician to join their innovative, fully remote research team. This critical role involves the development and application of computational approaches to analyze and interpret complex biological data, contributing to significant advancements in life sciences. You will lead a team of bioinformaticians, design and implement cutting-edge pipelines for genomic, proteomic, and transcriptomic data analysis, and collaborate closely with molecular biologists, geneticists, and other researchers. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with extensive experience in analyzing large-scale biological datasets and a strong publication record. Proficiency in programming languages such as Python or R, along with experience in relevant bioinformatics tools and databases, is essential. As a fully remote position, you will need excellent communication and collaboration skills to work effectively with a distributed team, utilizing advanced virtual collaboration platforms. Responsibilities include developing novel algorithms and statistical methods, managing data integrity, ensuring the reproducibility of analyses, and presenting findings to scientific collaborators and stakeholders. You will also mentor junior team members and contribute to grant writing and strategy development. The successful applicant must be a self-starter with strong analytical and problem-solving skills, capable of independently driving research projects. Join our client’s pioneering scientific organization and contribute to impactful research in a flexible, remote work setting. This is a unique opportunity to leverage your bioinformatics expertise to drive discovery and innovation in a supportive and collaborative environment.
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Lead Bioinformatician
Posted 2 days ago
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Job Description
Our client, a cutting-edge biotechnology research firm, is looking for a highly skilled and innovative Lead Bioinformatician to join their dynamic, fully remote R&D team. This role is critical for advancing our understanding of complex biological systems through advanced data analysis and computational methods. You will be responsible for designing, developing, and implementing sophisticated bioinformatics pipelines for high-throughput genomic and proteomic data. This includes managing large-scale datasets, ensuring data integrity, and extracting meaningful insights to guide experimental design and interpretation. Key responsibilities involve statistical analysis, algorithm development, and the application of machine learning techniques to biological problems. You will collaborate closely with molecular biologists, geneticists, and other scientists to interpret results and contribute to groundbreaking research publications and patent applications. The ideal candidate will have extensive experience with relevant programming languages (e.g., Python, R, Perl), database management, and cloud computing platforms. A strong understanding of genomics, transcriptomics, epigenomics, or proteomics is essential. You will also be expected to stay abreast of the latest advancements in bioinformatics and computational biology, identifying and evaluating new tools and technologies. This position requires excellent problem-solving skills, a meticulous attention to detail, and the ability to work independently and collaboratively in a remote setting. While the role is remote, a deep appreciation for scientific rigor and innovation is paramount. This is an exceptional opportunity to contribute to high-impact research in a growing field. A Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a strong publication record, is highly preferred. Join us in pushing the boundaries of scientific discovery from anywhere in Kenya, with a focus on contributing to our collaborative efforts from Ruiru, Kiambu, KE .
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Lead Bioinformatician - Genomics
Posted 3 days ago
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Job Description
Our client is recruiting a highly skilled Lead Bioinformatician to spearhead genomic data analysis within their innovative, fully remote research division. This role is critical for uncovering insights from large-scale genomic datasets to drive advancements in biological understanding and therapeutic development. As a remote-first organization, we are committed to fostering a collaborative environment that leverages cutting-edge digital tools and fosters independent contribution. You will be responsible for developing and implementing robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq. Your expertise will be essential in performing variant calling, annotation, differential gene expression analysis, and pathway analysis. You will also contribute to the design of experiments, ensuring data integrity and the generation of actionable biological insights. The ideal candidate will possess a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genetics, or a related field, with a proven track record in leading bioinformatics projects. Extensive experience with NGS data analysis tools and software (e.g., GATK, STAR, DESeq2) and programming languages like Python and R is mandatory. Familiarity with statistical methods, machine learning applied to biological data, and experience with cloud computing platforms (e.g., AWS, GCP) are highly desirable. You will mentor junior bioinformaticians, collaborate with biologists and clinicians, and present research findings internally and externally. This is an outstanding opportunity for a seasoned bioinformatician to make a significant impact on scientific discovery in a fully remote setting, contributing to critical research projects from **Mlolongo, Machakos, KE**.
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2
Lead Bioinformatician - Remote
Posted 27 days ago
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Job Description
Our client is seeking an accomplished Lead Bioinformatician to spearhead critical research projects focused on genomic data analysis and interpretation, operating in a fully remote capacity. This senior scientific role requires a deep expertise in computational biology, statistical analysis, and the development of bioinformatics pipelines for large-scale biological datasets, including genomics, transcriptomics, and proteomics. You will be responsible for designing and executing complex analyses, developing novel computational tools and algorithms, and collaborating closely with bench scientists and other researchers to translate biological questions into testable hypotheses. The ideal candidate will possess a strong publication record in bioinformatics or related fields, demonstrating a sophisticated understanding of molecular biology, genetics, and advanced statistical methods. Proven experience in managing research projects, mentoring junior scientists, and communicating complex findings effectively to diverse audiences is essential. Proficiency in programming languages such as Python or R, familiarity with relevant bioinformatics databases and software packages, and experience with cloud computing platforms are required. This is a strategic leadership position that offers the opportunity to contribute to cutting-edge scientific discoveries and drive innovation in our research and development efforts. You will play a key role in shaping the direction of our bioinformatics initiatives and ensuring the integrity and reproducibility of our computational research. Continuous exploration of new analytical methodologies and technologies will be paramount. This is a fully remote position, offering the flexibility to work from anywhere while contributing to impactful scientific advancements. You will be expected to lead and inspire a remote team of bioinformaticians, fostering a collaborative and high-performance research environment. The ability to manage multiple research projects simultaneously, secure grant funding where applicable, and adapt to rapidly evolving scientific landscapes is crucial. This opportunity offers a chance to apply your advanced bioinformatics expertise to solve significant challenges in biological and medical research.
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Lead Bioinformatician, Genomics Research
Posted 10 days ago
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Job Description
Our client, a forward-thinking research institution, is looking for a talented and experienced Lead Bioinformatician to spearhead our genomics research initiatives. This is a fully remote position, offering the opportunity to work on cutting-edge projects from anywhere. As the Lead Bioinformatician, you will be responsible for the design, development, and implementation of computational pipelines for the analysis of large-scale genomic and transcriptomic datasets. You will play a crucial role in interpreting complex biological data to uncover insights into disease mechanisms, drug targets, and population genetics. Your expertise will guide the research direction, ensuring the robust analysis and insightful interpretation of genomic data generated from various high-throughput sequencing platforms. This role requires a deep understanding of bioinformatics algorithms, statistical genetics, and machine learning techniques applied to biological data. You will manage and mentor a team of bioinformaticians, fostering a collaborative and productive remote research environment. Key responsibilities include developing custom scripts and software tools, optimizing existing bioinformatics workflows, and ensuring the quality and reproducibility of computational analyses. You will also collaborate closely with experimental biologists, clinicians, and statisticians to translate research questions into computational strategies and to effectively communicate findings. The ability to visualize and present complex genomic data in an understandable format is essential. We are seeking a proactive individual who can lead the technical direction of our bioinformatics efforts and contribute to high-impact scientific publications and grant proposals. This role is crucial for advancing our understanding of biological systems and driving discovery. While the work is entirely remote, your contributions will be central to the research activities associated with our **Kakamega, Kakamega, KE** research hub. If you possess a strong computational background, a passion for genomics, and the leadership skills to thrive in a remote setting, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Lead the development and implementation of bioinformatics pipelines for genomic data analysis.
- Analyze large-scale genomic and transcriptomic datasets.
- Develop and optimize computational workflows for next-generation sequencing (NGS) data.
- Apply statistical and machine learning methods to biological data.
- Mentor and manage a team of bioinformaticians.
- Collaborate with researchers to define analytical strategies and interpret results.
- Develop custom scripts and software tools.
- Ensure data quality, integrity, and reproducibility.
- Contribute to scientific publications and grant applications.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics, with a focus on genomics.
- Proficiency in programming languages such as Python, R, and Bash.
- Strong experience with bioinformatics tools and databases (e.g., GATK, Samtools, Ensembl).
- Expertise in analyzing NGS data (e.g., WGS, WES, RNA-Seq).
- Demonstrated experience with statistical analysis and machine learning.
- Excellent leadership, communication, and problem-solving skills.
- Proven ability to work effectively in a remote, collaborative research environment.
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Lead Bioinformatician - Drug Discovery
Posted 26 days ago
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Job Description
Our client, a leading innovator in pharmaceutical research, is seeking a highly skilled and experienced Lead Bioinformatician to spearhead our remote drug discovery initiatives. This pivotal role involves leveraging advanced computational techniques to analyze vast biological datasets, identify novel therapeutic targets, and optimize drug development pipelines. You will be instrumental in managing and interpreting genomic, proteomic, and transcriptomic data, driving insights that accelerate the discovery of life-saving medicines. This is a unique opportunity to contribute to groundbreaking pharmaceutical research in a flexible, remote-first environment.
Responsibilities:
Responsibilities:
- Lead the design and execution of bioinformatics analyses for drug discovery projects.
- Develop and implement computational pipelines for processing and analyzing large-scale omics data (NGS, transcriptomics, proteomics, etc.).
- Identify and validate novel drug targets using integrated multi-omics approaches.
- Collaborate closely with medicinal chemists, biologists, and pharmacologists to guide experimental design and interpretation.
- Develop predictive models for drug efficacy, toxicity, and patient stratification.
- Manage and maintain bioinformatics databases and software infrastructure.
- Supervise and mentor junior bioinformaticians and research associates.
- Present findings to internal teams and external collaborators, and contribute to scientific publications.
- Ensure the quality, reproducibility, and scalability of bioinformatics analyses.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in bioinformatics, with a significant focus on drug discovery or translational research.
- Proven expertise in analyzing diverse biological datasets (e.g., genomics, transcriptomics, proteomics, metabolomics).
- Strong programming skills in Python and/or R, and experience with relevant bioinformatics libraries and tools.
- Familiarity with next-generation sequencing (NGS) data analysis platforms and workflows.
- Experience with machine learning and statistical modeling in a biological context.
- Excellent understanding of molecular biology, genetics, and drug development processes.
- Demonstrated leadership and project management capabilities.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, multidisciplinary team.
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5
Lead Bioinformatician - Computational Biology
Posted 18 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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Remote Lead Bioinformatician - Genomics
Posted 17 days ago
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Job Description
Our client, a cutting-edge biotechnology research firm, is looking for a talented and experienced Remote Lead Bioinformatician to spearhead their genomics research initiatives. This position is fully remote, offering a unique opportunity to contribute to groundbreaking scientific discoveries from your home office. You will be responsible for the design, development, and implementation of advanced bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic datasets. Your work will involve processing next-generation sequencing (NGS) data, performing comparative genomics, identifying genetic variations, and interpreting complex biological patterns. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field, with a strong track record in analyzing genomic data. Proficiency in programming languages such as Python and R, along with extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, GATK), is crucial. Experience with cloud computing platforms (AWS, Google Cloud, Azure) for handling large datasets is highly desirable. You will lead a team of bioinformaticians, mentor junior researchers, and collaborate closely with molecular biologists, geneticists, and clinicians to translate computational findings into biological insights and potential therapeutic targets. Excellent communication and leadership skills are essential for effectively coordinating remote team efforts and presenting complex results to scientific audiences. If you are passionate about leveraging computational approaches to unravel the complexities of the genome and drive biological discovery in a remote setting, we encourage you to apply.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale genomic and transcriptomic projects.
- Develop, optimize, and maintain robust bioinformatics pipelines for NGS data processing and analysis.
- Perform variant calling, annotation, and interpretation for human and other model organism genomes.
- Conduct comparative genomic analyses to identify evolutionary relationships and functional elements.
- Collaborate with experimental biologists and clinicians to interpret genomic data in the context of biological questions and disease mechanisms.
- Mentor and guide junior bioinformaticians and research staff.
- Contribute to grant writing and manuscript preparation for scientific publications.
- Stay current with the latest advancements in bioinformatics, genomics, and related computational fields.
- Manage project timelines and resources effectively in a remote setting.
- Ensure data integrity, reproducibility, and compliance with best practices in computational biology.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a closely related field.
- Minimum of 5-8 years of experience in bioinformatics research, with a focus on genomics and transcriptomics.
- Proven expertise in programming languages such as Python and R, and their bioinformatics libraries.
- Extensive experience with standard bioinformatics tools and databases (e.g., GATK, Samtools, BEDTools, Ensembl, UCSC Genome Browser).
- Hands-on experience with next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Familiarity with cloud computing environments (AWS, GCP, Azure) for bioinformatics analysis.
- Strong understanding of molecular biology, genetics, and statistics.
- Demonstrated leadership experience or strong potential to lead a research team.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote environment.
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7
Job Description
Our client is seeking an accomplished Lead Bioinformatician to spearhead their fully remote scientific research and development efforts. This critical role involves the application of computational techniques to analyze and interpret large-scale biological data, driving advancements in areas such as genomics, proteomics, and systems biology. The ideal candidate will possess a profound understanding of biological principles combined with advanced expertise in bioinformatics tools, programming languages, and statistical analysis. You will be responsible for designing and implementing computational pipelines, developing novel algorithms, and extracting meaningful insights from complex datasets. Key responsibilities include leading collaborative research projects, mentoring junior bioinformaticians, managing data integrity and security, and staying at the forefront of emerging bioinformatics technologies. The successful candidate will demonstrate exceptional problem-solving abilities, a keen eye for detail, and the capacity to translate complex computational findings into actionable scientific conclusions. Collaboration with remote teams of biologists, chemists, and data scientists is a cornerstone of this role. This is an unparalleled opportunity to contribute to cutting-edge scientific discovery from **Naivasha, Nakuru, KE**, working within a flexible, fully remote environment. If you are a passionate and innovative bioinformatician looking to lead impactful research and development initiatives, we encourage you to apply. Your expertise will be instrumental in unlocking new scientific understanding and advancing human health.
Responsibilities:
Responsibilities:
- Design, develop, and implement bioinformatics pipelines and algorithms.
- Analyze large-scale genomic, proteomic, and transcriptomic datasets.
- Interpret complex biological data to derive scientific insights and hypotheses.
- Collaborate with remote research teams to address specific scientific questions.
- Develop and apply statistical methods for data analysis and interpretation.
- Mentor and guide junior bioinformaticians and research staff.
- Manage and maintain biological databases and computational infrastructure.
- Stay abreast of the latest advancements in bioinformatics tools and methodologies.
- Contribute to grant proposals and scientific publications.
- Ensure data integrity, quality control, and reproducibility of analyses.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in bioinformatics research and analysis.
- Strong programming skills in languages such as Python, R, Perl, or Java.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Proficiency in statistical analysis and machine learning techniques for biological data.
- Experience with high-throughput sequencing data analysis (NGS).
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to lead research projects and mentor junior scientists.
- Strong communication and collaboration skills for remote work.
- Demonstrated track record of scientific publications is highly desirable.
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8
Junior Data Analyst & Research Assistant (Remote)
Posted 8 days ago
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Job Description
Our client is seeking a motivated and detail-oriented Junior Data Analyst and Research Assistant to join their expanding, fully remote team. This is an exceptional internship opportunity for individuals passionate about data analysis, research methodologies, and contributing to meaningful projects from anywhere. You will work closely with senior analysts and researchers to gather, clean, analyze, and interpret data from various sources. Key responsibilities include assisting in the design of data collection instruments, performing preliminary data analysis using statistical software, generating reports and visualizations, and conducting literature reviews to support ongoing research initiatives. You will gain hands-on experience in identifying trends, patterns, and insights within datasets, contributing to strategic decision-making. The ideal candidate will possess strong analytical and quantitative skills, a solid foundation in mathematics or statistics, and a keen eye for detail. Proficiency in basic data manipulation and analysis tools such as Excel is required, and familiarity with statistical software like R or Python is a significant advantage. You must be a proactive learner, comfortable working independently in a remote environment, and possess excellent written and verbal communication skills for clear reporting and collaboration with your remote colleagues. This role provides an excellent platform to develop core data science skills and gain exposure to diverse research areas. Our client is committed to providing a supportive virtual learning environment, offering mentorship and opportunities for professional growth. You will be an integral part of a collaborative team, contributing to projects that require rigorous data-driven approaches. The ability to manage your time effectively, prioritize tasks, and adhere to project timelines is crucial for success in this fully remote position. If you are eager to kickstart your career in data analysis and research and are looking for a dynamic, remote internship experience, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform descriptive statistical analysis and generate basic reports.
- Create data visualizations to illustrate findings and trends.
- Conduct literature searches and summarize research findings.
- Support senior team members in data-driven projects.
- Maintain organized and accurate data records.
- Collaborate effectively with remote team members.
- Contribute to the development of research methodologies.
- Learn and apply new data analysis techniques and tools.
- Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel for data analysis.
- Familiarity with statistical software (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Strong written and verbal communication skills for remote interaction.
- Ability to work independently and manage workload in a remote setting.
- Eagerness to learn and develop data analysis skills.
- Passion for research and problem-solving.
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