4 Remote Bioinformatics Research Scientist jobs in whatjobs
Remote Bioinformatics Research Scientist
Posted 25 days ago
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Job Description
Our client is looking for a talented and motivated Bioinformatics Research Scientist to join their pioneering remote research and development team. This role is focused on leveraging advanced computational approaches to analyze complex biological datasets, driving innovation in our scientific endeavors. You will be responsible for the design, development, and implementation of novel algorithms and analytical pipelines for genomic, proteomic, and transcriptomic data. This position requires a strong background in computational biology, statistics, and programming, with hands-on experience in analyzing large-scale biological data. Your duties will include identifying and applying appropriate statistical and machine learning methods to biological problems, interpreting research findings, and collaborating closely with wet-lab scientists and other stakeholders to guide experimental design and data interpretation. You will be expected to stay abreast of the latest advancements in bioinformatics and computational biology, contributing to the scientific literature through publications and presentations. The ability to effectively communicate complex scientific information to both technical and non-technical audiences is essential. This is a fully remote position, offering the flexibility to work from your preferred location while contributing to cutting-edge research. You will utilize a suite of sophisticated bioinformatics tools and databases, and potentially develop custom software solutions to address unique research questions. The role demands a rigorous scientific approach, meticulous attention to detail, and a passion for unraveling the complexities of biological systems through data-driven insights. Successful candidates will possess a PhD or Master's degree in Bioinformatics, Computer Science, Statistics, or a related field, coupled with significant research experience. The collaborative nature of this remote role means strong virtual communication and teamwork skills are paramount, ensuring seamless integration with our global research community and contributing to the advancement of scientific knowledge.
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Remote Bioinformatics Research Scientist
Posted 7 days ago
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Job Description
Our client, a leading innovator in computational biology, is seeking a highly skilled and dedicated Remote Bioinformatics Research Scientist. This position is fully remote, offering the flexibility to work from anywhere within Kenya. The ideal candidate will possess a strong background in analyzing large biological datasets, developing computational tools, and contributing to cutting-edge research in genomics, proteomics, or systems biology. You will be responsible for designing and implementing bioinformatics pipelines, performing statistical analysis, visualizing data, and interpreting complex biological information. The role involves collaborating closely with cross-functional research teams, including molecular biologists, geneticists, and clinicians, to advance our understanding of disease mechanisms and identify novel therapeutic targets. You will be expected to stay abreast of the latest advancements in bioinformatics and computational biology, contributing to scientific publications and presentations. A Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field is required, along with significant experience in relevant programming languages such as Python or R, and familiarity with standard bioinformatics tools and databases. Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments is highly desirable. Strong analytical and problem-solving skills, coupled with excellent communication abilities for effective remote collaboration, are essential. You will be involved in all phases of research projects, from hypothesis generation to experimental design and data analysis. This is an exceptional opportunity to contribute to groundbreaking research in a supportive, remote-first environment. Our client is committed to fostering an inclusive and collaborative work culture, and we are looking for individuals who thrive in an independent and self-directed setting. The successful candidate will play a pivotal role in shaping the future of biological research through data-driven insights. Your work will directly impact the development of new diagnostics and treatments, making a tangible difference in healthcare. We are looking for a passionate scientist who is eager to make significant contributions to the field and grow professionally within our organization. If you are a detail-oriented, results-driven individual with a passion for uncovering biological insights through computational approaches, we encourage you to apply for this exciting remote opportunity.
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Remote Bioinformatics Research Scientist
Posted 14 days ago
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Job Description
Our client, a cutting-edge research institution, is seeking a highly skilled and innovative Remote Bioinformatics Research Scientist. This fully remote position offers an exceptional opportunity to contribute to groundbreaking scientific discoveries from your home office, focusing on the analysis of complex biological data. You will be instrumental in designing and implementing computational strategies to analyze genomic, proteomic, and other omics data, playing a key role in research initiatives that could impact fields ranging from disease understanding to drug discovery, and supporting research efforts relevant to scientific advancements globally.
The ideal candidate will have a strong background in bioinformatics, computational biology, or a related quantitative field, with a proven track record of applying computational methods to biological problems. You will possess expertise in programming languages commonly used in bioinformatics (e.g., Python, R, Perl), as well as experience with various bioinformatics tools, databases, and analytical pipelines. A deep understanding of statistical methods and machine learning techniques applied to biological data is essential. This role requires excellent problem-solving abilities, meticulous attention to detail, and the capacity to work independently and collaboratively in a virtual environment. You will be expected to effectively communicate complex findings to interdisciplinary teams, contributing to publications and presentations that advance scientific knowledge, potentially impacting research conducted in areas near **Kericho, Kericho, KE**.
Key Responsibilities:
The ideal candidate will have a strong background in bioinformatics, computational biology, or a related quantitative field, with a proven track record of applying computational methods to biological problems. You will possess expertise in programming languages commonly used in bioinformatics (e.g., Python, R, Perl), as well as experience with various bioinformatics tools, databases, and analytical pipelines. A deep understanding of statistical methods and machine learning techniques applied to biological data is essential. This role requires excellent problem-solving abilities, meticulous attention to detail, and the capacity to work independently and collaboratively in a virtual environment. You will be expected to effectively communicate complex findings to interdisciplinary teams, contributing to publications and presentations that advance scientific knowledge, potentially impacting research conducted in areas near **Kericho, Kericho, KE**.
Key Responsibilities:
- Develop and implement computational pipelines for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Design and perform statistical and machine learning analyses to extract meaningful biological insights.
- Collaborate with experimental biologists and other researchers to define research questions and analytical approaches.
- Contribute to the interpretation of results and the generation of hypotheses.
- Develop and maintain custom scripts and software tools to support research needs.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Document methodologies, code, and results meticulously for reproducibility.
- Contribute to the preparation of manuscripts for peer-reviewed publications and grant proposals.
- Present research findings at virtual scientific conferences and team meetings.
- Assist in the management and curation of biological databases and repositories.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative discipline.
- Minimum of 3 years of postdoctoral or industry experience in bioinformatics research.
- Proficiency in programming languages such as Python, R, or Perl.
- Hands-on experience with major bioinformatics tools, databases, and sequence alignment algorithms.
- Solid understanding of statistical modeling and machine learning techniques.
- Experience with various omics data types and analysis methods.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Proven ability to work independently and manage research projects effectively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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Remote Bioinformatics Research Scientist
Posted 21 days ago
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Job Description
Our client, a leading innovator in biological research, is seeking a highly skilled and motivated Bioinformatics Research Scientist to join their cutting-edge, fully remote team. This role is ideal for a scientist passionate about applying computational approaches to complex biological problems. You will be instrumental in the analysis of large-scale genomic and proteomic data, contributing to groundbreaking discoveries and therapeutic development. The position requires a deep understanding of biological systems and advanced computational skills, all conducted from your remote workspace.
Key Responsibilities:
Key Responsibilities:
- Design and implement computational pipelines for analyzing next-generation sequencing (NGS) data (e.g., WGS, RNA-Seq, ChIP-Seq).
- Develop and apply statistical and machine learning methods for biological data interpretation.
- Collaborate with experimental biologists, clinicians, and other researchers to define research questions and hypotheses.
- Perform comparative genomics, population genetics, and phylogenetic analyses.
- Identify novel biomarkers and therapeutic targets through data mining and analysis.
- Develop and maintain databases for storing and retrieving biological data.
- Present research findings at internal meetings and external conferences.
- Contribute to manuscript preparation for publication in peer-reviewed journals.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Mentor junior researchers and provide technical guidance on bioinformatics tools and techniques.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Proven experience in analyzing large-scale biological datasets, particularly NGS data.
- Strong programming skills in Python and/or R, and experience with bioinformatics libraries.
- Proficiency in using command-line interfaces and high-performance computing environments.
- Solid understanding of molecular biology, genetics, and genomics.
- Experience with various bioinformatics databases and tools (e.g., Ensembl, NCBI, BLAST, GATK).
- Knowledge of statistical modeling and machine learning techniques.
- Excellent problem-solving abilities and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a collaborative, remote setting.
- Publication record demonstrating research productivity and expertise.
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