5 Lead Research Scientist Bioinformatics Remote jobs in whatjobs
Lead Research Scientist, Bioinformatics - Remote
Posted 21 days ago
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Job Description
Key Responsibilities:
- Lead and manage complex bioinformatics research projects from conception to completion.
- Develop, implement, and optimize computational tools, pipelines, and algorithms for analyzing diverse biological data (genomics, transcriptomics, proteomics, etc.).
- Analyze large-scale datasets using advanced statistical and machine learning techniques.
- Collaborate with experimental biologists and other domain experts to define research questions and interpret results.
- Supervise and mentor a team of remote bioinformaticians and data scientists.
- Contribute to the writing of peer-reviewed publications, grant proposals, and technical documentation.
- Present research findings at international conferences and internal scientific meetings.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and data science.
- Ensure the reproducibility and scalability of computational analyses.
- Drive the strategic direction of the bioinformatics group within the organization.
This is a fully remote opportunity, offering the flexibility to work from anywhere. We are seeking a highly skilled and visionary scientist with exceptional programming proficiency (e.g., Python, R, C++) and extensive experience with relevant bioinformatics databases and software. The ability to lead effectively, foster collaboration, and drive innovation in a remote environment is essential. If you are an experienced bioinformatics leader looking to make a significant impact on transformative research, we encourage you to apply. Join our client's pioneering research initiatives and contribute to advancing scientific frontiers remotely, supporting projects that may be associated with areas like Embu, Embu, KE .
Lead Research Scientist - Bioinformatics (Remote)
Posted 21 days ago
Job Viewed
Job Description
- Design, develop, and implement advanced bioinformatics pipelines and algorithms for analyzing large-scale biological datasets (e.g., next-generation sequencing data).
- Lead research projects, from conceptualization to publication, focusing on key areas such as disease mechanism, drug discovery, or personalized medicine.
- Analyze and interpret complex genomic, transcriptomic, proteomic, and metabolomic data to extract meaningful biological insights.
- Develop and apply statistical and machine learning methods to biological problems.
- Collaborate with biologists, clinicians, and other researchers to define research questions and experimental designs.
- Develop and maintain robust, scalable, and reproducible computational workflows.
- Contribute to grant writing and secure external funding for research initiatives.
- Mentor and guide junior scientists and research assistants.
- Present research findings at national and international conferences and publish results in high-impact peer-reviewed journals.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Manage computational resources and ensure efficient data storage and processing.
- Contribute to the development of software tools and databases for the research community.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral or industry experience in bioinformatics research.
- Demonstrated expertise in analyzing various 'omics' datasets (genomics, transcriptomics, proteomics, etc.).
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with relevant bioinformatics libraries and frameworks.
- Strong knowledge of statistical methods and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments.
- Excellent communication, collaboration, and leadership skills.
- Proven track record of publications in leading scientific journals and presentations at conferences.
- Ability to work independently, manage multiple research projects, and drive scientific innovation in a remote setting.
- Experience with database management and data warehousing is a plus.
- Familiarity with genome browsers and biological databases (e.g., Ensembl, NCBI).
Lead Research Scientist - Bioinformatics - Remote
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design and implementation of bioinformatics pipelines and analytical strategies.
- Analyze large-scale genomic, transcriptomic, and proteomic datasets.
- Develop and apply advanced computational and statistical methods for biological data analysis.
- Interpret research findings and translate them into actionable scientific insights.
- Collaborate closely with biologists, clinicians, and other research scientists.
- Mentor and guide junior bioinformatics researchers and data analysts.
- Stay at the forefront of bioinformatics tools, algorithms, and methodologies.
- Contribute to the writing of research grants, publications, and technical reports.
- Manage research projects, ensuring timely delivery of results and adherence to scientific rigor.
- Present research findings at scientific conferences and internal meetings.
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a strong publication record. Extensive experience with programming languages such as Python or R, database management, and machine learning techniques is essential. Proven experience in leading research projects and mentoring scientific staff is required. Excellent analytical, problem-solving, and communication skills are critical. This remote role offers a competitive salary, comprehensive benefits, and the chance to work on cutting-edge research that pushes the boundaries of scientific discovery, contributing to advancements in the field, even while working remotely from your location near Nairobi, Nairobi, KE .
Lead Research Scientist - Bioinformatics - Remote
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Design and lead independent research projects in bioinformatics and computational biology.
- Develop and implement advanced algorithms and computational methods for analyzing large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Collaborate with multidisciplinary teams of biologists, chemists, and clinicians to define research goals and interpret findings.
- Mentor and supervise junior researchers, postdocs, and technical staff.
- Author high-impact publications in peer-reviewed journals and present research at international conferences.
- Secure research funding through grant writing and proposal development.
- Evaluate and adopt new technologies and methodologies to enhance research capabilities.
- Ensure the integrity and reproducibility of research data and analyses.
- Contribute to the strategic direction of the research division.
- Manage project timelines, budgets, and resources effectively.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Extensive postdoctoral and/or industry research experience (minimum 7 years post-Ph.D.).
- Demonstrated track record of leading successful research projects and securing funding.
- Expertise in programming languages such as Python, R, or Perl, and proficiency with bioinformatics tools and databases.
- Deep understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with high-performance computing environments.
- Proven ability to publish in leading scientific journals and present at conferences.
- Excellent leadership, team management, and communication skills.
- Strong problem-solving abilities and a creative approach to research challenges.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Lead Research Scientist - Bioinformatics (Remote)
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead and mentor a team of bioinformatics researchers and analysts.
- Design and implement computational strategies for analyzing genomic, proteomic, and transcriptomic data.
- Develop and validate novel algorithms and pipelines for biological data analysis.
- Interpret research findings and translate them into actionable insights and publications.
- Collaborate with biologists, chemists, and clinicians to define research questions and experimental designs.
- Manage research projects, ensuring adherence to timelines, budgets, and scientific rigor.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Present research findings at scientific conferences and in peer-reviewed journals.
- Ensure data integrity, security, and compliance with relevant ethical guidelines.
- Contribute to grant writing and securing research funding.
- 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.
- Extensive experience with high-throughput sequencing data analysis (e.g., RNA-Seq, ChIP-Seq, WGS).
- Proficiency in programming languages such as Python, R, and Perl, and experience with bioinformatics databases and tools (e.g., BLAST, GATK, IGV).
- Strong understanding of statistical modeling and machine learning techniques applied to biological data.
- Demonstrated experience in leading research projects and mentoring junior scientists.
- Excellent scientific writing and presentation skills.
- Proven ability to work independently and collaboratively in a remote research environment.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is a significant plus.
- A strong publication record in reputable scientific journals.
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