46 Senior Bioinformatics Scientist jobs in whatjobs
Senior Bioinformatics Scientist
Posted 10 days ago
Job Viewed
Job Description
Our client is seeking an accomplished Senior Bioinformatics Scientist to join our cutting-edge, fully remote research and development team. This is an exceptional opportunity to contribute to groundbreaking discoveries by applying advanced computational and analytical techniques to complex biological datasets. You will play a crucial role in designing and executing analyses that drive our R&D initiatives forward, collaborating with a world-class team of researchers.
Key Responsibilities:
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related field. A minimum of 7 years of post-doctoral research experience in bioinformatics is required, with a strong publication record demonstrating significant contributions to the field. Extensive experience with programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Java) and proficiency in utilizing high-performance computing environments are essential. Demonstrated expertise in analyzing diverse biological datasets (e.g., next-generation sequencing, microarrays, mass spectrometry) and experience with common bioinformatics tools and databases (e.g., NCBI, Ensembl, Galaxy) are critical. Strong statistical and machine learning skills are highly desirable. Excellent analytical, problem-solving, and critical thinking abilities are a must. As this is a fully remote position, exceptional communication skills, strong self-discipline, and the ability to work independently and collaboratively within a virtual team are required. If you are driven by scientific curiosity and possess a deep expertise in bioinformatics, we invite you to apply.
Key Responsibilities:
- Develop and implement sophisticated algorithms and computational methods for the analysis of large-scale biological data, including genomics, transcriptomics, proteomics, and metabolomics.
- Design and execute bioinformatics pipelines for data processing, quality control, and statistical analysis.
- Interpret complex biological data to identify significant findings, generate hypotheses, and inform experimental design.
- Collaborate closely with molecular biologists, geneticists, and other research scientists to address key scientific questions.
- Develop and maintain robust bioinformatics databases and tools to support research efforts.
- Stay abreast of the latest advancements in bioinformatics, computational biology, genomics, and relevant scientific fields.
- Mentor junior bioinformaticians and contribute to the training and development of the team.
- Communicate research findings effectively through written reports, presentations, and publications.
- Contribute to grant writing and manuscript preparation.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related field. A minimum of 7 years of post-doctoral research experience in bioinformatics is required, with a strong publication record demonstrating significant contributions to the field. Extensive experience with programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Java) and proficiency in utilizing high-performance computing environments are essential. Demonstrated expertise in analyzing diverse biological datasets (e.g., next-generation sequencing, microarrays, mass spectrometry) and experience with common bioinformatics tools and databases (e.g., NCBI, Ensembl, Galaxy) are critical. Strong statistical and machine learning skills are highly desirable. Excellent analytical, problem-solving, and critical thinking abilities are a must. As this is a fully remote position, exceptional communication skills, strong self-discipline, and the ability to work independently and collaboratively within a virtual team are required. If you are driven by scientific curiosity and possess a deep expertise in bioinformatics, we invite you to apply.
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0
Senior Bioinformatics Scientist
Posted 10 days ago
Job Viewed
Job Description
Our client, a cutting-edge biotechnology firm, is seeking a highly skilled and experienced Senior Bioinformatics Scientist to join their research and development team. This role requires a deep understanding of computational biology, statistical analysis, and large-scale biological data management. You will be instrumental in designing and implementing robust analytical pipelines for genomics, transcriptomics, proteomics, and other high-throughput omics data. Responsibilities include developing novel algorithms, integrating diverse biological datasets, and performing complex statistical analyses to uncover biological insights and identify potential therapeutic targets. The ideal candidate will possess a PhD or Master's degree in Bioinformatics, Computational Biology, or a related field, with a proven track record of successful research in academia or industry. Extensive experience with programming languages such as Python, R, and Perl, along with expertise in relevant bioinformatics tools and databases, is essential. You will collaborate closely with molecular biologists, geneticists, and clinicians to interpret experimental results and guide research strategies. Strong communication and presentation skills are required to effectively convey complex scientific findings to both technical and non-technical audiences. This position offers a unique opportunity to contribute to groundbreaking research, work with state-of-the-art technologies, and drive innovation in drug discovery and precision medicine. We are looking for a motivated and independent researcher with a passion for solving complex biological problems. The ability to manage multiple projects, mentor junior scientists, and contribute to a collaborative research environment is highly valued. This is a hybrid role, offering a balance between remote work flexibility and in-person collaboration at our advanced research facilities.
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Senior Bioinformatics Scientist
Posted 10 days ago
Job Viewed
Job Description
Our client, a leading biotechnology research institution, is seeking a highly accomplished Senior Bioinformatics Scientist to join their innovative research team on a fully remote basis. This critical role will involve the development and application of computational approaches to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics, to drive groundbreaking discoveries. You will collaborate closely with molecular biologists, geneticists, and clinicians to interpret complex biological data, design experiments, and contribute to publications and grant proposals. The ideal candidate possesses a strong computational background, extensive experience in bioinformatics analysis, and a proven ability to work effectively in a distributed research environment.
Key Responsibilities:
Key Responsibilities:
- Design and implement computational pipelines for analyzing high-throughput biological data (NGS, proteomics, etc.).
- Develop and apply statistical and machine learning methods to identify biological patterns and insights.
- Collaborate with experimental scientists to define research questions, design studies, and interpret results.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Develop and maintain custom bioinformatics software tools and scripts (e.g., in Python, R, Perl).
- Contribute to the writing of research manuscripts, grant proposals, and scientific presentations.
- Stay abreast of the latest advancements in bioinformatics, genomics, computational biology, and relevant technologies.
- Mentor junior bioinformatics staff and contribute to training initiatives.
- Ensure reproducibility and maintain best practices in computational research workflows.
- Present findings to internal research teams and at scientific conferences.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics research and analysis, with a strong publication record.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Shell scripting).
- Experience with common bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Solid understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with Next-Generation Sequencing (NGS) data analysis (e.g., alignment, variant calling, differential expression).
- Familiarity with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, interdisciplinary team.
- Demonstrated ability to manage research projects and deliver results independently.
This advertiser has chosen not to accept applicants from your region.
2
Senior Bioinformatics Scientist
Posted 10 days ago
Job Viewed
Job Description
Our client, a pioneering biomedical research institution, is seeking a highly motivated and experienced Senior Bioinformatics Scientist to join their fully remote research and development team. This critical role will involve the design, implementation, and analysis of complex genomic and proteomic datasets to uncover novel biological insights and drive therapeutic discovery. The ideal candidate will possess a deep understanding of statistical methods, machine learning algorithms, and computational biology techniques. You will be instrumental in developing and optimizing analytical pipelines for high-throughput sequencing data, including whole-genome sequencing (WGS), RNA-Seq, and ChIP-Seq. Responsibilities include data quality control, variant calling, functional annotation, pathway analysis, and integrating diverse biological data types. The successful applicant will collaborate closely with molecular biologists, geneticists, and clinical researchers, providing crucial computational support and interpretation of results. You will also be responsible for staying abreast of the latest advancements in bioinformatics tools and methodologies, contributing to manuscript preparation, and presenting findings at scientific conferences. Experience with cloud computing platforms (AWS, GCP, Azure) and big data technologies is highly desirable. This role demands a proactive approach to research, excellent problem-solving skills, and the ability to communicate complex scientific information clearly and effectively to both technical and non-technical audiences. The ability to manage multiple projects concurrently and work autonomously in a remote setting is essential for success.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement advanced bioinformatics pipelines for analyzing large-scale omics datasets.
- Perform rigorous data quality assessment and preprocessing.
- Conduct statistical analysis, variant calling, and functional annotation of genomic data.
- Utilize machine learning techniques for pattern recognition and predictive modeling.
- Integrate and analyze multi-omics data (genomics, transcriptomics, proteomics).
- Collaborate with research teams to design experiments and interpret results.
- Contribute to manuscript preparation and scientific publications.
- Present research findings at internal meetings and external conferences.
- Stay current with emerging bioinformatics tools and methodologies.
- Manage computational resources and ensure efficient data processing.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 6 years of post-doctoral or industry experience in bioinformatics.
- Expertise in programming languages such as Python, R, and Perl.
- Proficiency with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Strong experience with high-throughput sequencing data analysis (WGS, RNA-Seq, etc.).
- Demonstrated experience with statistical analysis and machine learning in a biological context.
- Familiarity with Linux/Unix environments and command-line scripting.
- Experience with cloud computing platforms is a strong plus.
- Excellent written and verbal communication skills.
- Proven ability to work independently and collaboratively in a remote environment.
This advertiser has chosen not to accept applicants from your region.
3
Senior Bioinformatics Scientist
Posted 7 days ago
Job Viewed
Job Description
Our client is actively seeking a highly skilled Senior Bioinformatics Scientist to join their innovative research and development team in a fully remote capacity. This role is critical for advancing our client's understanding and application of biological data through sophisticated computational analysis. You will be responsible for designing and implementing advanced bioinformatics pipelines, analyzing large-scale genomic and proteomic datasets, and developing novel computational methods to address complex biological questions. Key responsibilities include data preprocessing, statistical analysis, algorithm development, and the visualization of biological data. You will collaborate closely with molecular biologists, geneticists, and other researchers to interpret experimental results and guide future research directions. The ideal candidate will possess a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with a minimum of 5-7 years of hands-on experience in bioinformatics research. Proven expertise in analyzing next-generation sequencing (NGS) data (e.g., DNA-Seq, RNA-Seq), developing custom scripts and software in languages such as Python or R, and utilizing bioinformatic databases and tools is essential. Strong knowledge of statistical modeling, machine learning algorithms, and data visualization techniques is required. Excellent communication and collaboration skills are paramount for working effectively with diverse scientific teams in a remote setting. This is a fully remote position, offering the flexibility to contribute your expertise from anywhere, making a significant impact on groundbreaking research initiatives. You will play a vital role in unlocking the potential of biological data to drive scientific discovery and innovation for our client. The conceptual location for this role is Nakuru, Nakuru, KE , but it is a 100% remote position.
This advertiser has chosen not to accept applicants from your region.
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Senior Bioinformatics Scientist
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Bioinformatics Scientist to join their cutting-edge research and development team. This fully remote position offers the opportunity to work on groundbreaking projects in a dynamic and collaborative environment. You will be instrumental in analyzing complex biological data, developing novel computational approaches, and contributing to the advancement of scientific discovery. Your responsibilities will include designing and implementing bioinformatics pipelines, performing statistical analysis of genomic and transcriptomic data, and visualizing results to guide research directions. You will collaborate closely with molecular biologists, geneticists, and other scientists to interpret findings and propose new avenues of investigation. Expertise in scripting languages such as Python or R, along with experience in version control systems like Git, is essential. A strong understanding of machine learning algorithms applied to biological data is highly desirable. The ideal candidate will possess a PhD in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a proven track record of publications in peer-reviewed journals. You should be adept at working independently, managing multiple projects simultaneously, and communicating complex technical information clearly to both technical and non-technical audiences. While this role is fully remote, you will be an integral part of a globally distributed team, contributing to a shared mission of innovation. We are looking for individuals with a passion for solving challenging biological problems through computational methods. Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments would be an advantage. If you are a driven scientist looking to make a significant impact in the field of scientific research and development from the comfort of your home office, we encourage you to apply. This role is based remotely, but your contributions will be vital to our scientific endeavors.
Responsibilities:
Responsibilities:
- Develop and maintain robust bioinformatics pipelines for next-generation sequencing data analysis.
- Perform statistical analysis and interpretation of large-scale biological datasets.
- Design and implement machine learning models for pattern recognition and prediction in biological systems.
- Collaborate with experimental teams to define research questions and analytical strategies.
- Visualize complex data to effectively communicate findings to diverse audiences.
- Stay abreast of the latest advancements in bioinformatics and computational biology.
- Mentor junior scientists and contribute to team knowledge sharing.
- PhD in Bioinformatics, Computational Biology, or a related field.
- Minimum of 5 years of relevant post-doctoral or industry experience.
- Proficiency in Python or R for data analysis and scripting.
- Experience with bioinformatics tools and databases.
- Strong understanding of genomics, transcriptomics, and other omics data.
- Excellent problem-solving and critical thinking skills.
- Ability to work independently and as part of a remote team.
This advertiser has chosen not to accept applicants from your region.
5
Senior Bioinformatics Scientist
Posted 7 days ago
Job Viewed
Job Description
Our client, a cutting-edge biotechnology firm dedicated to advancing genetic research, is seeking a highly experienced Senior Bioinformatics Scientist to join their fully remote research and development team. This pivotal role involves the analysis of complex biological data sets, including genomics, transcriptomics, and proteomics, to drive discovery and innovation. You will be responsible for designing and implementing computational pipelines, developing novel algorithms, and interpreting large-scale biological data to uncover insights into disease mechanisms and potential therapeutic targets. This position offers a unique opportunity to work on challenging scientific problems with a globally distributed team of researchers and clinicians.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and execution of sophisticated bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., WGS, RNA-Seq, ChIP-Seq).
- Develop and implement novel computational methods and algorithms for analyzing large-scale genomic and multi-omic datasets.
- Perform rigorous statistical analysis and interpretation of biological data to identify significant findings, biomarkers, and potential drug targets.
- Collaborate closely with experimental biologists, geneticists, and clinicians to design research studies, interpret results, and drive project progress.
- Develop and maintain robust, reproducible, and scalable bioinformatics workflows.
- Stay current with the latest advancements in bioinformatics, genomics, computational biology, and related fields.
- Contribute to the writing of research papers, grant proposals, and technical reports.
- Mentor junior bioinformaticians and provide technical guidance to research staff.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Present findings at internal meetings and external scientific conferences.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a closely related field.
- Minimum of 5 years of hands-on experience in bioinformatics research, with a strong publication record.
- Expertise in programming languages such as Python, R, and shell scripting, and experience with workflow management systems (e.g., Snakemake, Nextflow).
- Proficiency in using standard bioinformatics tools and databases for sequence alignment, variant calling, gene expression analysis, and pathway analysis.
- Deep understanding of statistical methods applicable to biological data analysis.
- Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity) is highly desirable.
- Proven ability to manage complex projects, work independently, and contribute effectively to a collaborative, remote team environment.
- Excellent problem-solving skills and a meticulous attention to detail.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Demonstrated experience in analyzing and interpreting large-scale genomic data from human or model organisms.
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6
Senior Bioinformatics Scientist
Posted 4 days ago
Job Viewed
Job Description
A leading biomedical research institute is seeking a highly skilled Senior Bioinformatics Scientist to join their cutting-edge research team. This is a fully remote position, enabling you to contribute to groundbreaking scientific discoveries from anywhere. You will be responsible for analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics data, to identify patterns, generate hypotheses, and support research objectives. Key responsibilities include developing and applying computational and statistical methods for data analysis, designing and implementing bioinformatics pipelines, visualizing complex biological data, and collaborating with biologists, geneticists, and other researchers. The ideal candidate will possess a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field, with significant post-doctoral or industry experience. Proficiency in programming languages such as Python or R, experience with biological databases, and a strong understanding of molecular biology and genetics are essential. Experience with high-throughput sequencing data analysis and machine learning techniques in a biological context is highly desirable. This role requires excellent analytical, problem-solving, and critical thinking skills, as well as strong communication and collaboration abilities to effectively work within a virtual research environment. As this is a fully remote role, strong self-management, organizational skills, and the ability to work independently are paramount. The conceptual research facility is in **Ruiru, Kiambu, KE**, but your work location is flexible. This is an exciting opportunity for an accomplished bioinformatician to contribute to impactful research in a fully remote setting.
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7
Senior Bioinformatics Scientist
Posted 4 days ago
Job Viewed
Job Description
Our client, a cutting-edge research and development organization, is seeking a highly skilled and experienced Senior Bioinformatics Scientist to lead complex data analysis projects. This role involves developing and implementing computational strategies to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. The Senior Bioinformatics Scientist will play a crucial role in interpreting experimental results, identifying potential targets for further investigation, and contributing to groundbreaking discoveries. The position offers a hybrid work model, allowing for a blend of remote flexibility and in-office collaboration.
Responsibilities:
Qualifications:
This is a unique opportunity to contribute to pioneering research and shape the future of scientific discovery. Join a collaborative and innovative environment where your expertise will be highly valued.
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines and algorithms for analyzing diverse biological datasets.
- Perform in-depth statistical analysis and interpretation of genomic, proteomic, and other high-throughput data.
- Collaborate closely with experimental biologists, clinicians, and other researchers to define research questions and analytical approaches.
- Develop and maintain databases and computational resources for data management and analysis.
- Visualize complex biological data to effectively communicate findings to both technical and non-technical audiences.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contribute to manuscript preparation and publication of research findings.
- Mentor junior scientists and provide technical guidance on bioinformatics methods.
- Evaluate and integrate new computational tools and technologies into existing workflows.
- Ensure the reproducibility and quality of bioinformatics analyses.
Qualifications:
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5-7 years of post-graduate research experience in bioinformatics or computational biology.
- Strong proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Extensive experience with standard bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Solid understanding of molecular biology, genetics, and genomics.
- Experience with statistical methods and machine learning applied to biological data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary team.
- Experience in a hybrid work environment is beneficial.
- This role is based in Eldoret, Uasin Gishu, KE , with opportunities for remote work when not required on-site.
This is a unique opportunity to contribute to pioneering research and shape the future of scientific discovery. Join a collaborative and innovative environment where your expertise will be highly valued.
This advertiser has chosen not to accept applicants from your region.
8
Senior Bioinformatics Scientist
Posted 24 days ago
Job Viewed
Job Description
Our client, a cutting-edge biotechnology firm at the forefront of genomic research, is seeking an exceptional Senior Bioinformatics Scientist to join their fully remote research and development team. This role is crucial for advancing our understanding of complex biological systems through advanced computational analysis of large-scale genomic and proteomic datasets. You will design and implement innovative bioinformatics pipelines, develop novel algorithms, and contribute to groundbreaking scientific discoveries. The position requires a deep understanding of molecular biology, statistics, and computer science, coupled with a proven ability to lead research initiatives in a virtual setting. You will collaborate with a team of world-class scientists and researchers, all operating in a remote-first paradigm. Responsibilities include:
- Developing, validating, and implementing computational pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Designing and executing statistical analyses to interpret biological data and identify significant findings.
- Developing novel algorithms and software tools to address specific research questions in genomics, transcriptomics, proteomics, and metabolomics.
- Collaborating with experimental biologists, clinicians, and other researchers to define research objectives and design appropriate bioinformatics strategies.
- Managing and analyzing large, complex datasets, ensuring data integrity and reproducibility.
- Interpreting results, drawing conclusions, and presenting findings clearly and concisely to both technical and non-technical audiences via virtual platforms.
- Contributing to scientific publications and grant proposals.
- Mentoring junior bioinformaticians and research associates.
- Staying current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Maintaining and improving existing bioinformatics infrastructure and workflows in a distributed environment.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 7 years of post-doctoral or industry experience in bioinformatics or computational biology.
- Strong programming skills in languages such as Python, R, Perl, or Java.
- Extensive experience with common bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Proficiency in analyzing NGS data and a solid understanding of molecular biology principles.
- Demonstrated experience in developing and implementing statistical methods for biological data analysis.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) is a significant advantage.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and collaboratively within a remote research team.
- Strong written and verbal communication skills, with a track record of presenting scientific work effectively.
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