63 Principal Research Scientist Bioinformatics jobs in whatjobs
Principal Research Scientist - Bioinformatics
Posted 20 days ago
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Job Description
Responsibilities:
- Lead the development and implementation of advanced bioinformatics pipelines.
- Design and execute computational analyses of large-scale biological datasets (genomics, transcriptomics, proteomics).
- Develop novel algorithms and statistical methods for data interpretation.
- Collaborate with research teams to define experimental designs and data analysis strategies.
- Mentor and guide junior bioinformaticians and computational biologists.
- Present research findings to internal teams and at scientific conferences.
- Contribute to research strategy and grant proposals.
- Stay current with the latest advancements in bioinformatics and related computational fields.
- Ensure the quality, integrity, and reproducibility of data analysis.
- Manage collaborations with external research partners.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 10+ years of experience in bioinformatics research.
- Extensive experience with genomic and transcriptomic data analysis.
- Proficiency in programming languages such as Python, R, or Perl.
- Strong knowledge of statistical modeling, machine learning, and data mining techniques.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing clusters.
- Excellent understanding of biological pathways and molecular biology.
- Proven track record of scientific publications in peer-reviewed journals.
- Strong leadership and mentoring abilities.
- Excellent communication and interpersonal skills for remote collaboration.
Principal Research Scientist, Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design and execution of bioinformatics research projects, focusing on areas such as genomics, transcriptomics, proteomics, and systems biology.
- Develop, implement, and validate novel computational tools and algorithms for analyzing large-scale biological datasets.
- Integrate diverse biological data types to uncover complex relationships and biological mechanisms.
- Analyze next-generation sequencing (NGS) data, including WGS, WES, RNA-Seq, and ChIP-Seq.
- Develop and apply statistical and machine learning methods for biological data analysis and interpretation.
- Collaborate closely with experimental biologists, clinicians, and other researchers to define research questions and interpret results.
- Author and contribute to high-impact scientific publications and present findings at international conferences.
- Mentor and guide junior bioinformatics scientists and research staff.
- Stay current with the latest advancements in bioinformatics, computational biology, and related fields.
- Contribute to grant writing and securing research funding.
- Ensure data integrity, reproducibility, and compliance with relevant standards.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in bioinformatics or computational biology.
- Extensive experience in analyzing large-scale biological datasets, particularly from NGS technologies.
- Strong programming skills in languages such as Python, R, Perl, or C/C++.
- Proficiency with bioinformatics tools, databases, and software packages.
- Expertise in statistical analysis and machine learning techniques applied to biological data.
- Demonstrated experience in developing novel algorithms or computational methods.
- Proven track record of leading research projects and publishing in peer-reviewed journals.
- Excellent communication, collaboration, and presentation skills.
- Experience with high-performance computing (HPC) environments and cloud computing platforms (AWS, Azure, GCP) is highly desirable.
- Ability to work independently and effectively manage multiple research projects in a remote setting.
This role is advertised with a focus on candidates near **Ruiru, Kiambu, KE**, but is entirely remote.
Principal Research Scientist - Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
Principal Research Scientist - Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Leading research projects in bioinformatics, genomics, proteomics, or related areas.
- Developing and implementing advanced computational and statistical methods for biological data analysis.
- Designing and executing experiments or analyses involving large datasets (e.g., next-generation sequencing, mass spectrometry).
- Interpreting research findings and translating them into actionable insights and publications.
- Mentoring and guiding junior researchers and data scientists.
- Collaborating with interdisciplinary teams of biologists, chemists, clinicians, and other scientists.
- Developing and maintaining robust bioinformatics pipelines and tools.
- Staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific domains.
- Contributing to grant writing and securing research funding.
- Presenting research findings at international conferences and to internal stakeholders.
- Ensuring the integrity and reproducibility of research data and analyses.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 10 years of post-doctoral research experience in a relevant scientific discipline.
- Demonstrated expertise in designing and analyzing complex biological datasets.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and associated libraries.
- Extensive experience with bioinformatics databases, tools, and algorithms.
- Strong understanding of statistical modeling and machine learning techniques.
- Excellent publication record in peer-reviewed journals.
- Exceptional problem-solving, critical thinking, and analytical skills.
- Proven leadership capabilities and experience mentoring research teams.
- Superior written and verbal communication skills.
Principal Research Scientist - Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Leading the development and application of advanced bioinformatics tools and algorithms for genomic, transcriptomic, and proteomic data analysis.
- Designing and executing research strategies to uncover novel biological insights from complex datasets.
- Collaborating with experimental biologists and clinicians to define research questions and interpret results.
- Developing and maintaining robust, reproducible computational workflows.
- Mentoring and guiding junior bioinformaticians and research staff.
- Presenting research findings at international conferences and contributing to scientific publications.
- Evaluating and integrating new technologies and methodologies in bioinformatics.
- Managing multiple research projects simultaneously, ensuring timely delivery of results.
- Securing funding through grant writing and contributing to research proposals.
- Ensuring data integrity and compliance with relevant ethical guidelines.
A Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field is required. A minimum of 8 years of relevant research experience, including significant experience in a leadership or principal scientist role, is essential. Demonstrated expertise in analyzing next-generation sequencing (NGS) data (WGS, WES, RNA-Seq) and proficiency in programming languages such as Python, R, and bash scripting are mandatory. Experience with high-performance computing environments and cloud platforms (AWS, GCP) is highly desirable. Strong knowledge of statistical methods and machine learning techniques applied to biological data is crucial. Excellent communication, interpersonal, and presentation skills are necessary for effective collaboration with interdisciplinary teams. The ability to think critically, solve complex problems, and drive research initiatives independently is paramount. Join our remote team and play a pivotal role in advancing biological research through innovative computational approaches.
Principal Research Scientist (Bioinformatics)
Posted 20 days ago
Job Viewed
Job Description
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Statistics, or a related quantitative field.
- Minimum of 10 years of post-doctoral research experience in bioinformatics or computational biology.
- Proven track record of leading independent research projects and a strong publication record in peer-reviewed journals.
- Extensive experience with analyzing large-scale biological datasets (genomics, transcriptomics, proteomics).
- Proficiency in programming languages such as Python, R, and expertise in bioinformatics tools and databases.
- Experience with machine learning, statistical modeling, and algorithm development.
- Demonstrated ability to mentor junior researchers and collaborate effectively in interdisciplinary teams.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills for scientific discourse and grant writing.
- Experience working successfully in a remote research environment.
Principal Research Scientist - Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
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Principal Research Scientist - Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design and implementation of advanced bioinformatics analyses for large-scale genomic, transcriptomic, and proteomic datasets.
- Develop and optimize computational pipelines for data processing, quality control, and interpretation.
- Apply statistical and machine learning methods to extract meaningful insights from complex biological data.
- Collaborate with experimental biologists, clinicians, and other researchers to address challenging scientific questions.
- Mentor and guide a team of bioinformatics researchers and data analysts.
- Stay abreast of cutting-edge bioinformatics tools, algorithms, and methodologies.
- Author high-quality scientific manuscripts for publication in prestigious journals.
- Contribute to the strategic planning and direction of bioinformatics research initiatives.
- Secure research funding through the preparation and submission of grant proposals.
- Ensure the integrity, reproducibility, and security of all research data and analyses.
- Manage project timelines, resources, and deliverables effectively.
The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with a minimum of 10 years of extensive experience in bioinformatics research and development. Demonstrated expertise in analyzing diverse omics data types and a strong publication record are essential. Proficiency in programming languages such as Python or R, and experience with high-performance computing environments are required. Excellent leadership, communication, and interpersonal skills are crucial for guiding teams and collaborating effectively. This fully remote position demands a visionary, self-motivated individual with a proven ability to drive complex research projects independently and deliver impactful scientific outcomes. If you are passionate about leveraging computational approaches to unravel biological mysteries and lead cutting-edge research, we encourage you to apply.
Principal Research Scientist - Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
- Lead and design complex research projects in bioinformatics and computational biology.
- Develop and implement novel algorithms and computational methods for biological data analysis.
- Analyze large-scale genomic, proteomic, and transcriptomic datasets.
- Collaborate with biologists, clinicians, and other researchers to define research questions and interpret results.
- Mentor and guide junior scientists and research staff.
- Stay abreast of the latest advancements in bioinformatics and relevant scientific fields.
- Author and co-author high-impact scientific publications.
- Present research findings at scientific conferences and meetings.
- Manage research budgets and resources effectively.
- Ensure data integrity and reproducibility of research findings.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a closely related quantitative field.
- Minimum of 10 years of post-doctoral research experience in bioinformatics or computational biology.
- Proven track record of leading successful research projects and publishing in peer-reviewed journals.
- Expertise in programming languages such as Python, R, Perl, and associated bioinformatics libraries.
- Strong knowledge of statistical methods, machine learning, and data mining techniques.
- Experience with high-performance computing environments and bioinformatics databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills, with the ability to effectively communicate complex scientific concepts.
- Demonstrated ability to work independently and collaboratively in a remote research environment.
Principal Research Scientist - Bioinformatics
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design and execution of bioinformatics research projects.
- Develop and implement novel computational and statistical methods for analyzing large biological datasets (genomics, proteomics, metabolomics).
- Interpret complex biological data and generate actionable insights.
- Supervise and mentor junior research scientists and post-doctoral fellows.
- Collaborate with interdisciplinary research teams.
- Author high-impact scientific publications and present findings at international conferences.
- Contribute to grant writing and secure external funding.
- Maintain up-to-date knowledge of the latest advancements in bioinformatics and computational biology.
- Ensure data integrity and reproducibility of analyses.
- Contribute to the strategic direction of the R&D department.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 10 years of post-doctoral research experience in a relevant scientific domain.
- Extensive experience in analyzing large-scale biological datasets.
- Expertise in programming languages (Python, R) and bioinformatics software.
- Strong knowledge of machine learning and statistical modeling techniques.
- Proven track record of peer-reviewed publications and successful grant applications.
- Excellent leadership, communication, and collaboration skills.
- Demonstrated ability to manage complex research projects remotely.
- A strong publication record in top-tier scientific journals.
- Passion for scientific innovation and discovery.