54 Lead Bioinformatics Scientist jobs in whatjobs
Lead Bioinformatics Scientist
Posted 22 days ago
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Job Description
Our client is looking for an innovative and experienced Lead Bioinformatics Scientist to join their Scientific Research & Development team. This role offers a hybrid work model, combining the flexibility of remote work with essential in-person collaboration at our Kericho, Kericho, KE facilities. You will be responsible for the design, development, and implementation of cutting-edge bioinformatics pipelines and analytical methods to support our client's research initiatives. This includes analyzing large-scale omics data (genomics, transcriptomics, proteomics), developing predictive models, and interpreting complex biological datasets. You will lead a team of bioinformatics specialists, providing scientific guidance, mentorship, and project management. Your expertise will be crucial in identifying novel biological insights, supporting drug discovery, and advancing our understanding of complex biological systems. Responsibilities include data quality control, algorithm development, statistical analysis, and visualization of results. You will collaborate closely with biologists, chemists, and other research scientists, presenting findings at internal meetings and scientific conferences. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a proven track record of independent research and publication. Extensive experience with programming languages (Python, R, Perl), bioinformatics databases, and analysis tools is essential. Familiarity with machine learning techniques and cloud computing platforms is highly desirable. Excellent communication and leadership skills are required to effectively guide the team and collaborate across disciplines. If you are passionate about using computational approaches to solve challenging biological problems and thrive in a dynamic research environment, this hybrid role offers a unique opportunity to contribute to groundbreaking scientific advancements.
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Lead Bioinformatics Scientist
Posted 22 days ago
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Job Description
Our client, a pioneering biotechnology firm, is seeking an exceptional Lead Bioinformatics Scientist to spearhead innovative research initiatives. This is a fully remote position, allowing you to contribute to groundbreaking scientific discoveries from the comfort of your home office. You will play a critical role in designing, developing, and implementing cutting-edge bioinformatics pipelines and analytical strategies to interpret complex biological datasets. This role demands a blend of technical expertise, strategic thinking, and leadership.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale genomic, transcriptomic, and proteomic datasets.
- Develop, validate, and maintain robust bioinformatics pipelines and software tools for data processing, analysis, and visualization.
- Collaborate closely with molecular biologists, geneticists, and other research scientists to define research questions and translate them into computational analyses.
- Interpret complex biological data, identify significant patterns, and generate hypotheses for further experimental validation.
- Mentor and guide junior bioinformatics researchers, fostering a collaborative and innovative research environment.
- Stay at the forefront of bioinformatics advancements, evaluating and implementing new algorithms, software, and technologies.
- Contribute to the writing of research publications, grant proposals, and internal reports.
- Ensure the integrity, quality, and reproducibility of all bioinformatics analyses.
- Manage computational resources and infrastructure, optimizing for performance and scalability.
- Present research findings at scientific conferences and to internal stakeholders.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in bioinformatics research, with a significant portion involving leadership or project management.
- Extensive experience with next-generation sequencing (NGS) data analysis, including variant calling, gene expression analysis, and genome assembly.
- Proficiency in programming languages commonly used in bioinformatics, such as Python, R, and Perl.
- Strong command of relevant bioinformatics databases and tools (e.g., BLAST, Ensembl, UCSC Genome Browser, SAMtools, GATK).
- Experience with high-performance computing (HPC) environments and cloud computing platforms (e.g., AWS, Google Cloud).
- Demonstrated ability to develop and implement complex computational pipelines.
- Excellent analytical, critical thinking, and problem-solving skills.
- Proven ability to lead and mentor scientific teams.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Publications in peer-reviewed journals and experience in grant writing are highly desirable.
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Lead Bioinformatics Scientist
Posted 23 days ago
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Job Description
Our client is seeking a highly accomplished and innovative Lead Bioinformatics Scientist to spearhead critical research initiatives. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will be instrumental in designing, developing, and implementing cutting-edge bioinformatics pipelines and analytical tools to interpret large-scale genomic and proteomic datasets. Your work will directly contribute to groundbreaking discoveries in various scientific domains, from understanding disease mechanisms to developing novel therapeutic targets. The ideal candidate possesses a deep understanding of computational biology, statistical analysis, and machine learning applied to biological data. You will lead a team of talented bioinformaticians, providing technical guidance, mentorship, and project management oversight. Key responsibilities include collaborating with experimental biologists, clinicians, and other stakeholders to define research questions, developing robust computational strategies, and communicating complex findings clearly and effectively. Experience with high-performance computing environments and cloud platforms is essential, as is proficiency in programming languages such as Python, R, and Perl. We are looking for a visionary leader who can not only execute complex analyses but also contribute to the strategic direction of our research programs. Your ability to stay abreast of the latest advancements in bioinformatics and genomics will be crucial. This role offers a unique opportunity to work on challenging problems, publish high-impact research, and make a significant contribution to the scientific community, all within a supportive and flexible remote work culture. The nominal location for this role is Mlolongo, Machakos, KE , however, it is a fully remote position.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and optimize bioinformatics pipelines for analyzing high-throughput sequencing data.
- Lead and mentor a team of bioinformaticians, fostering a collaborative and productive environment.
- Collaborate with cross-functional research teams to identify and address biological questions using computational approaches.
- Apply statistical and machine learning methods to interpret complex biological datasets.
- Develop and maintain custom software tools and databases for data management and analysis.
- Manage computational resources and ensure efficient execution of analyses on HPC clusters and cloud platforms.
- Stay current with the latest advancements in bioinformatics, genomics, and related fields.
- Communicate research findings through presentations, publications, and reports.
- Contribute to grant writing and securing research funding.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 7 years of experience in bioinformatics research and development.
- Proven experience in leading research projects and/or teams.
- Expertise in analyzing genomic, transcriptomic, or proteomic data.
- Strong programming skills in Python, R, and/or Perl.
- Experience with high-performance computing (HPC) environments and cloud computing platforms (AWS, Azure, GCP).
- Familiarity with common bioinformatics databases and tools (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Excellent understanding of statistical methods and machine learning algorithms.
- Strong publication record in peer-reviewed journals.
- Exceptional problem-solving and analytical skills.
- Outstanding communication and interpersonal abilities.
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Lead Bioinformatics Scientist
Posted 23 days ago
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Job Description
Our client is seeking an exceptional Lead Bioinformatics Scientist to pioneer innovative research from a remote setting. This role is instrumental in driving cutting-edge scientific discovery through advanced computational analysis of biological data. As a remote-first organization, we are committed to building a world-class research team that collaborates seamlessly across geographical boundaries. The ideal candidate will possess a Ph.D. or equivalent in Bioinformatics, Computational Biology, Computer Science, or a closely related field, with a strong publication record demonstrating expertise in genomic and proteomic data analysis. You will be responsible for developing and implementing sophisticated algorithms and pipelines for large-scale biological datasets, including next-generation sequencing (NGS) data. Key responsibilities include designing and executing computational experiments, interpreting complex biological data, and contributing to the development of novel research hypotheses. You will lead a team of bioinformatics researchers, providing mentorship, guidance, and technical expertise. Collaboration with experimental biologists, geneticists, and other scientists is essential, requiring excellent communication skills to translate complex computational findings into biological insights. Proficiency in programming languages such as Python, R, and/or Perl, along with experience in high-performance computing environments and cloud platforms, is mandatory. Experience with various bioinformatics databases and tools (e.g., BLAST, Ensembl, UCSC Genome Browser) is also crucial. This role requires a strategic thinker with a proactive approach to problem-solving and a passion for advancing scientific knowledge through data. You will play a critical role in shaping the future of our client's research initiatives, contributing to groundbreaking publications and potential therapeutic advancements. The ability to manage projects, mentor junior scientists, and effectively present research findings to both technical and non-technical audiences is paramount. We are looking for a visionary leader who can thrive in a dynamic, fully remote research environment.
Responsibilities:
Responsibilities:
- Lead the development and application of bioinformatics pipelines and analytical methodologies.
- Analyze large-scale genomic, transcriptomic, and proteomic datasets.
- Design and execute computational experiments to answer complex biological questions.
- Interpret results, generate hypotheses, and contribute to scientific publications.
- Mentor and guide a team of junior bioinformatics scientists and researchers.
- Collaborate with experimental biologists and other research teams to integrate computational and experimental findings.
- Develop and maintain robust, reproducible bioinformatics workflows.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Manage bioinformatics projects, ensuring timely delivery of results and adherence to quality standards.
- Present research findings at scientific conferences and in peer-reviewed journals.
- Contribute to grant writing and funding proposals.
- Evaluate and implement new bioinformatics tools and technologies.
- Ph.D. or equivalent in Bioinformatics, Computational Biology, Statistics, or a related quantitative field.
- 5+ years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing next-generation sequencing (NGS) data.
- Strong programming skills in Python, R, or similar languages.
- Experience with Unix/Linux environments and high-performance computing clusters.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) is a plus.
- In-depth knowledge of biological databases and common bioinformatics tools.
- Excellent analytical, problem-solving, and data visualization skills.
- Strong communication and interpersonal skills for effective collaboration.
- Demonstrated ability to lead research projects and mentor junior scientists.
- Track record of publications in high-impact journals.
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Lead Bioinformatics Scientist
Posted 22 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead Bioinformatics Scientist to spearhead critical research and development initiatives. This is a fully remote position, offering a unique opportunity for a leading expert to contribute to groundbreaking discoveries without geographical limitations. The Lead Bioinformatics Scientist will be responsible for developing and applying advanced computational methods and algorithms to analyze large-scale biological datasets, including genomic, transcriptomic, and proteomic data. You will lead a team of bioinformaticians, collaborate with research scientists and clinicians, and contribute to the design and execution of complex research projects. This role demands a deep understanding of molecular biology, statistics, and computer science, with extensive experience in developing and implementing bioinformatics pipelines. The ideal candidate will have a strong publication record in peer-reviewed journals and a proven ability to translate complex data into actionable biological insights.
Key Responsibilities:
A Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field is required. A minimum of 6 years of post-doctoral or industry experience in bioinformatics or computational biology is essential. Demonstrated expertise in scripting languages (e.g., Python, R, Perl) and experience with high-performance computing environments are mandatory. Profound knowledge of statistical methods and machine learning techniques applied to biological data is crucial. Experience with standard bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl) is required. A strong publication record is highly desirable. Excellent communication, collaboration, and problem-solving skills are necessary for effective teamwork in a remote setting. The job location for this role is notionally Mlolongo, Machakos, KE , but you will be working remotely.
Key Responsibilities:
- Lead the development and application of bioinformatics tools and pipelines for analyzing complex biological data.
- Design and implement computational strategies for genomic, transcriptomic, proteomic, and other 'omics' data.
- Analyze large datasets to identify significant biological patterns, pathways, and biomarkers.
- Collaborate with experimental biologists, clinicians, and other researchers to interpret results and guide future studies.
- Develop and maintain robust databases and data management systems for biological information.
- Mentor and guide junior bioinformaticians and research staff.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to grant proposals and secure research funding.
- Publish research findings in high-impact scientific journals and present at conferences.
- Ensure data integrity, reproducibility, and compliance with relevant data security standards.
A Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field is required. A minimum of 6 years of post-doctoral or industry experience in bioinformatics or computational biology is essential. Demonstrated expertise in scripting languages (e.g., Python, R, Perl) and experience with high-performance computing environments are mandatory. Profound knowledge of statistical methods and machine learning techniques applied to biological data is crucial. Experience with standard bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl) is required. A strong publication record is highly desirable. Excellent communication, collaboration, and problem-solving skills are necessary for effective teamwork in a remote setting. The job location for this role is notionally Mlolongo, Machakos, KE , but you will be working remotely.
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Lead Bioinformatics Scientist
Posted 22 days ago
Job Viewed
Job Description
Our client, a pioneering research organization, is seeking a highly experienced Lead Bioinformatics Scientist to guide their computational biology initiatives. This is a fully remote, leadership position requiring deep expertise in analyzing and interpreting complex biological datasets. The ideal candidate will lead the development and implementation of sophisticated bioinformatics pipelines, manage a team of bioinformaticians, and contribute to high-impact research publications. You will play a critical role in extracting meaningful insights from genomic, transcriptomic, and proteomic data, driving discovery in our client's scientific endeavors.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and optimization of bioinformatics pipelines for large-scale biological data analysis.
- Manage and mentor a team of bioinformatics scientists and analysts, fostering a collaborative and productive research environment.
- Collaborate with experimental biologists and other researchers to define analytical requirements and interpret results.
- Develop and implement advanced statistical and machine learning algorithms for biological data analysis.
- Oversee the quality control and curation of biological databases.
- Stay abreast of the latest advancements in bioinformatics tools, algorithms, and biological data analysis techniques.
- Contribute to the preparation of research proposals, grant applications, and scientific publications.
- Ensure data integrity, security, and compliance with relevant ethical standards and regulations.
- Present research findings and analytical strategies to scientific teams and external stakeholders.
- Manage computational resources and infrastructure to support bioinformatics workflows.
- Drive innovation in data analysis methodologies and explore novel approaches to biological discovery.
- Utilize secure remote access and cloud computing platforms for data analysis and team collaboration.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in bioinformatics or computational biology.
- Demonstrated experience in leading bioinformatics projects and managing scientific teams.
- Expertise in analyzing various types of biological data, including next-generation sequencing (NGS), genomics, transcriptomics, and proteomics.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with shell scripting.
- Strong knowledge of statistical methods, machine learning, and data mining techniques.
- Familiarity with bioinformatics databases, ontologies, and annotation tools.
- Experience with high-performance computing (HPC) environments and cloud computing platforms (e.g., AWS, GCP).
- Excellent communication, presentation, and interpersonal skills.
- Proven ability to work effectively in a highly collaborative, remote research setting.
- Strong problem-solving skills and a strategic approach to research challenges.
- Significant publication record in peer-reviewed journals.
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Lead Bioinformatics Scientist
Posted 23 days ago
Job Viewed
Job Description
Our client is seeking an accomplished Lead Bioinformatics Scientist to spearhead their computational biology initiatives. This is a remote position, offering the flexibility to work from anywhere while contributing to pivotal research. You will be responsible for developing and implementing advanced computational methods to analyze complex biological data, particularly from genomic and proteomic studies. The ideal candidate will possess a deep understanding of algorithm development, statistical modeling, and machine learning techniques as applied to biological research. You will lead a team of bioinformaticians, guide research projects, and collaborate with scientists across various disciplines.
Key responsibilities include designing and maintaining robust bioinformatics pipelines for high-throughput data processing and analysis. You will develop novel algorithms and statistical models to extract meaningful insights from large datasets, identify biomarkers, and unravel complex biological pathways. The Lead Bioinformatics Scientist will also be responsible for data visualization, interpretation, and reporting of findings to both technical and non-technical audiences. This includes presenting results at scientific conferences and contributing to publications in leading journals.
This role requires a strong leader who can foster a collaborative and innovative research environment within a remote setting. You will mentor and train junior bioinformaticians, manage project priorities, and ensure the quality and reproducibility of computational analyses. Staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields is essential. You will also contribute to the strategic planning of computational infrastructure and the development of new research directions. Collaboration with experimental biologists, clinicians, and data scientists will be a significant aspect of this role.
Qualifications: A Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field is mandatory. A minimum of 8 years of relevant experience in bioinformatics, with a significant portion in a leadership or senior scientific role. Proven track record of developing and implementing bioinformatics pipelines and analytical tools. Expertise in programming languages such as Python, R, and shell scripting, along with experience with relevant bioinformatics libraries and frameworks. Strong understanding of statistical methods, machine learning, and data mining techniques applied to biological data. Experience with various biological data types (genomics, transcriptomics, proteomics, etc.). Excellent problem-solving skills and the ability to interpret complex biological data. Outstanding communication, presentation, and interpersonal skills are crucial for effective remote collaboration. Demonstrated ability to manage projects, mentor junior staff, and drive scientific research forward. Experience with cloud computing platforms and large-scale data management is highly desirable.
Key responsibilities include designing and maintaining robust bioinformatics pipelines for high-throughput data processing and analysis. You will develop novel algorithms and statistical models to extract meaningful insights from large datasets, identify biomarkers, and unravel complex biological pathways. The Lead Bioinformatics Scientist will also be responsible for data visualization, interpretation, and reporting of findings to both technical and non-technical audiences. This includes presenting results at scientific conferences and contributing to publications in leading journals.
This role requires a strong leader who can foster a collaborative and innovative research environment within a remote setting. You will mentor and train junior bioinformaticians, manage project priorities, and ensure the quality and reproducibility of computational analyses. Staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields is essential. You will also contribute to the strategic planning of computational infrastructure and the development of new research directions. Collaboration with experimental biologists, clinicians, and data scientists will be a significant aspect of this role.
Qualifications: A Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field is mandatory. A minimum of 8 years of relevant experience in bioinformatics, with a significant portion in a leadership or senior scientific role. Proven track record of developing and implementing bioinformatics pipelines and analytical tools. Expertise in programming languages such as Python, R, and shell scripting, along with experience with relevant bioinformatics libraries and frameworks. Strong understanding of statistical methods, machine learning, and data mining techniques applied to biological data. Experience with various biological data types (genomics, transcriptomics, proteomics, etc.). Excellent problem-solving skills and the ability to interpret complex biological data. Outstanding communication, presentation, and interpersonal skills are crucial for effective remote collaboration. Demonstrated ability to manage projects, mentor junior staff, and drive scientific research forward. Experience with cloud computing platforms and large-scale data management is highly desirable.
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Job Description
Our client, a pioneering firm in the field of scientific research and development, is seeking an accomplished Lead Bioinformatics Scientist to spearhead their fully remote bioinformatics team. This critical role will involve designing and implementing advanced computational and statistical methods to analyze large-scale biological datasets, driving innovative research initiatives. The ideal candidate will possess a deep understanding of genomics, transcriptomics, and other omics technologies, coupled with exceptional programming skills and a passion for scientific discovery.
Key responsibilities include developing and optimizing bioinformatics pipelines for next-generation sequencing (NGS) data analysis. You will lead projects focused on identifying biomarkers, understanding disease mechanisms, and developing novel therapeutic strategies. This involves close collaboration with molecular biologists, geneticists, and clinical researchers to interpret complex biological findings and translate them into actionable insights. You will also be responsible for managing and curating large biological databases, mentoring junior scientists, and staying at the forefront of bioinformatics research and technological advancements.
This is a remote-first position, requiring a highly analytical, self-motivated, and detail-oriented scientist with excellent problem-solving abilities and strong communication skills for virtual collaboration. The ability to work independently on complex research projects, manage multiple priorities, and contribute effectively within a distributed team is essential. A proactive approach to exploring new computational tools and methodologies is crucial.
Required qualifications include a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 7 years of post-doctoral research experience in bioinformatics, with a proven track record of leading research projects and publishing in high-impact journals, is essential. Extensive experience with programming languages such as Python, R, and Perl, and proficiency with bioinformatics tools and databases (e.g., NCBI, Ensembl, Galaxy) are mandatory. Strong knowledge of statistical methods, machine learning algorithms, and experience analyzing various omics data types are required. Experience with cloud computing platforms (e.g., AWS, GCP) is a plus. This exciting remote role supports groundbreaking research efforts relevant to scientific communities linked to Bungoma, Bungoma, KE .
Key responsibilities include developing and optimizing bioinformatics pipelines for next-generation sequencing (NGS) data analysis. You will lead projects focused on identifying biomarkers, understanding disease mechanisms, and developing novel therapeutic strategies. This involves close collaboration with molecular biologists, geneticists, and clinical researchers to interpret complex biological findings and translate them into actionable insights. You will also be responsible for managing and curating large biological databases, mentoring junior scientists, and staying at the forefront of bioinformatics research and technological advancements.
This is a remote-first position, requiring a highly analytical, self-motivated, and detail-oriented scientist with excellent problem-solving abilities and strong communication skills for virtual collaboration. The ability to work independently on complex research projects, manage multiple priorities, and contribute effectively within a distributed team is essential. A proactive approach to exploring new computational tools and methodologies is crucial.
Required qualifications include a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 7 years of post-doctoral research experience in bioinformatics, with a proven track record of leading research projects and publishing in high-impact journals, is essential. Extensive experience with programming languages such as Python, R, and Perl, and proficiency with bioinformatics tools and databases (e.g., NCBI, Ensembl, Galaxy) are mandatory. Strong knowledge of statistical methods, machine learning algorithms, and experience analyzing various omics data types are required. Experience with cloud computing platforms (e.g., AWS, GCP) is a plus. This exciting remote role supports groundbreaking research efforts relevant to scientific communities linked to Bungoma, Bungoma, KE .
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Job Description
Our client is seeking a highly skilled and innovative Lead Bioinformatics Scientist to drive cutting-edge research and development initiatives. This is a fully remote position, offering a unique opportunity to work at the forefront of biological data analysis. You will lead a team of bioinformaticians and collaborate with researchers to develop and apply computational approaches to complex biological questions.
Key responsibilities include: designing and implementing novel bioinformatics pipelines and algorithms for analyzing large-scale biological datasets (e.g., genomics, transcriptomics, proteomics); developing and managing databases for storing and querying biological information; applying statistical methods and machine learning techniques to extract meaningful insights from data; collaborating with molecular biologists, geneticists, and other scientists to define research objectives and experimental designs; interpreting complex biological data and communicating findings to both technical and non-technical audiences; staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields; mentoring junior bioinformaticians and leading research projects; developing and optimizing workflows for data quality control and analysis; and contributing to scientific publications and grant proposals.
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 7 years of progressive experience in bioinformatics research, with demonstrated experience in leading projects and teams, is essential. Proven expertise in analyzing next-generation sequencing (NGS) data, including genome assembly, variant calling, and transcriptomic analysis, is required. Strong programming skills in languages such as Python, R, or Perl, and experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser) are crucial. Familiarity with statistical modeling, machine learning, and data visualization techniques is highly desirable. Excellent communication, collaboration, and problem-solving skills are paramount. Experience in scientific software development and managing research projects is a significant advantage. This is a fully remote position, allowing you to contribute your advanced scientific expertise from anywhere, driving innovation in biological research for our client, with a conceptual focus on Kitale, Trans-Nzoia, KE .
Key responsibilities include: designing and implementing novel bioinformatics pipelines and algorithms for analyzing large-scale biological datasets (e.g., genomics, transcriptomics, proteomics); developing and managing databases for storing and querying biological information; applying statistical methods and machine learning techniques to extract meaningful insights from data; collaborating with molecular biologists, geneticists, and other scientists to define research objectives and experimental designs; interpreting complex biological data and communicating findings to both technical and non-technical audiences; staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields; mentoring junior bioinformaticians and leading research projects; developing and optimizing workflows for data quality control and analysis; and contributing to scientific publications and grant proposals.
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field. A minimum of 7 years of progressive experience in bioinformatics research, with demonstrated experience in leading projects and teams, is essential. Proven expertise in analyzing next-generation sequencing (NGS) data, including genome assembly, variant calling, and transcriptomic analysis, is required. Strong programming skills in languages such as Python, R, or Perl, and experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser) are crucial. Familiarity with statistical modeling, machine learning, and data visualization techniques is highly desirable. Excellent communication, collaboration, and problem-solving skills are paramount. Experience in scientific software development and managing research projects is a significant advantage. This is a fully remote position, allowing you to contribute your advanced scientific expertise from anywhere, driving innovation in biological research for our client, with a conceptual focus on Kitale, Trans-Nzoia, KE .
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Lead Bioinformatics Scientist
Posted 25 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and innovative Lead Bioinformatics Scientist to join their pioneering scientific research and development team. This is a fully remote position, offering the flexibility to work from anywhere. The successful candidate will play a crucial role in analyzing complex biological data, developing novel computational methods, and driving cutting-edge research projects. You will lead a team of talented bioinformaticians, providing mentorship and strategic direction. Responsibilities include designing and executing genomic and transcriptomic data analysis pipelines, integrating diverse biological datasets, and collaborating with experimental biologists and clinicians to translate findings into actionable insights. You will also be responsible for developing and maintaining robust data management systems, ensuring data integrity and accessibility. This role requires a deep understanding of statistical modeling, machine learning techniques, and programming languages such as Python and R. The ideal candidate will have a proven track record of publishing research in peer-reviewed journals and presenting at international conferences. Experience with cloud computing platforms (AWS, GCP) and high-performance computing environments is essential. You will contribute to grant proposals and foster a collaborative research environment. The ability to communicate complex scientific concepts clearly and effectively to both technical and non-technical audiences is paramount. This is an exceptional opportunity to make a significant impact in a dynamic and intellectually stimulating field, contributing to groundbreaking discoveries from your home office in or near Eldoret, Uasin Gishu, KE . We are looking for a visionary leader who is passionate about leveraging computational approaches to solve challenging biological problems.
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