4 Principal Research Scientist Computational Biology jobs in whatjobs
Principal Research Scientist - Computational Biology
Posted 17 days ago
Job Viewed
Job Description
WhatJobs is seeking a pioneering Principal Research Scientist specializing in Computational Biology to lead groundbreaking research initiatives within our fully remote scientific team. This senior role is at the forefront of leveraging advanced computational and statistical methods to analyze complex biological data, driving discoveries in areas such as genomics, proteomics, and drug discovery. You will be responsible for designing and executing research projects, developing novel algorithms, and interpreting results to advance our scientific understanding and therapeutic development.
As a remote Principal Research Scientist, your core responsibilities include developing and applying computational pipelines for high-throughput data analysis, building predictive models, and contributing to the interpretation of experimental outcomes. You will collaborate closely with experimental biologists, bioinformaticians, and clinicians to define research questions and translate findings into tangible scientific advancements. This position requires a deep understanding of bioinformatics tools, machine learning techniques, and statistical modeling relevant to biological systems. You will also mentor junior scientists and contribute to the scientific publications and grant proposals.
The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 8 years of post-doctoral research experience. A strong publication record in high-impact journals is essential. Exceptional analytical, problem-solving, and programming skills (e.g., Python, R) are mandatory. This remote role requires a highly motivated, self-directed individual with excellent communication skills to effectively convey complex scientific concepts to diverse audiences and foster strong collaborative relationships within a distributed research environment. You will play a pivotal role in shaping the future of our research strategy and driving innovation in biological sciences.
Key Responsibilities:
Qualifications:
As a remote Principal Research Scientist, your core responsibilities include developing and applying computational pipelines for high-throughput data analysis, building predictive models, and contributing to the interpretation of experimental outcomes. You will collaborate closely with experimental biologists, bioinformaticians, and clinicians to define research questions and translate findings into tangible scientific advancements. This position requires a deep understanding of bioinformatics tools, machine learning techniques, and statistical modeling relevant to biological systems. You will also mentor junior scientists and contribute to the scientific publications and grant proposals.
The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 8 years of post-doctoral research experience. A strong publication record in high-impact journals is essential. Exceptional analytical, problem-solving, and programming skills (e.g., Python, R) are mandatory. This remote role requires a highly motivated, self-directed individual with excellent communication skills to effectively convey complex scientific concepts to diverse audiences and foster strong collaborative relationships within a distributed research environment. You will play a pivotal role in shaping the future of our research strategy and driving innovation in biological sciences.
Key Responsibilities:
- Lead the design and execution of complex computational biology research projects.
- Develop and implement novel computational algorithms and statistical methods for biological data analysis.
- Analyze large-scale genomic, proteomic, and other omics datasets.
- Build and validate predictive models for biological phenomena and drug targets.
- Collaborate with experimental scientists to interpret results and guide future research directions.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant life sciences.
- Mentor and guide junior research staff and postdoctoral fellows.
- Contribute to scientific publications, presentations, and grant applications.
- Ensure high standards of scientific rigor, reproducibility, and data integrity.
- Communicate complex scientific findings effectively to internal and external stakeholders.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- Minimum of 8 years of post-doctoral research experience in academia or industry.
- Proven track record of leading research projects and delivering impactful results.
- Extensive experience with programming languages such as Python and R, and relevant libraries.
- Proficiency in analyzing large biological datasets (e.g., NGS, RNA-Seq, ChIP-Seq).
- Strong knowledge of machine learning, statistical modeling, and data mining techniques.
- Excellent understanding of molecular biology and genetics.
- Demonstrated ability to work independently and collaboratively in a remote research setting.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with a history of peer-reviewed publications.
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Principal Research Scientist - Computational Biology
Posted 12 days ago
Job Viewed
Job Description
Are you a visionary Principal Research Scientist passionate about computational biology and its impact on scientific advancement? Our client, a leading organization in scientific research and development, is seeking an exceptional individual to join their fully remote R&D team. In this critical role, you will lead innovative projects focused on analyzing complex biological datasets, developing novel computational methodologies, and driving discoveries in areas such as genomics, proteomics, and systems biology. You will be responsible for designing experiments, developing algorithms, and interpreting results to advance our understanding of biological systems. This position demands a deep scientific curiosity, exceptional analytical prowess, and the ability to translate complex research into tangible outcomes.
Responsibilities:
Qualifications:
Responsibilities:
- Design and implement computational strategies to analyze large-scale biological datasets (genomic, transcriptomic, proteomic, etc.).
- Develop and validate novel algorithms and statistical models for biological data analysis.
- Collaborate with experimental biologists to design research studies and interpret experimental results.
- Lead research projects from conception to publication, guiding junior scientists and research associates.
- Author high-impact publications in peer-reviewed journals and present findings at international conferences.
- Contribute to grant writing and secure external funding for research initiatives.
- Mentor and supervise a team of computational biologists and bioinformaticians.
- Stay current with the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Ensure rigorous data integrity and reproducibility of research findings.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience in a relevant scientific discipline.
- Proven track record of leading independent research projects and delivering impactful scientific results.
- Expertise in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with high-performance computing environments.
- In-depth knowledge of statistical methods, machine learning, and data mining techniques applied to biological data.
- Excellent communication and presentation skills, with the ability to articulate complex scientific concepts to diverse audiences.
- Demonstrated leadership capabilities and experience managing research teams.
- Strong publication record in reputable scientific journals.
This advertiser has chosen not to accept applicants from your region.
1
Principal Research Scientist - Computational Biology
Posted 11 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Principal Research Scientist specializing in Computational Biology to lead groundbreaking research initiatives. This is a fully remote position, offering unparalleled flexibility to researchers worldwide. You will play a pivotal role in advancing our understanding of complex biological systems through advanced computational methods, data analysis, and algorithm development. This role requires a visionary leader with a deep passion for scientific discovery and a proven ability to translate complex data into actionable insights.
Key Responsibilities:
Key Responsibilities:
- Design and execute cutting-edge research projects in areas such as genomics, proteomics, transcriptomics, and systems biology.
- Develop and implement novel computational algorithms and statistical models for analyzing large-scale biological datasets.
- Lead the interpretation of complex biological data, providing critical insights and recommendations for further research and development.
- Collaborate with experimental biologists, bioinformaticians, and other research scientists to drive interdisciplinary research efforts.
- Mentor and guide junior researchers and postdoctoral fellows, fostering a collaborative and innovative research environment.
- Stay at the forefront of scientific literature, identifying emerging trends and opportunities for novel research.
- Contribute to the development of research strategies and grant proposals to secure funding for new projects.
- Communicate research findings effectively through publications in high-impact journals and presentations at international conferences.
- Ensure the rigorous application of scientific methods and data integrity throughout all research activities.
- Manage project timelines, resources, and deliverables, ensuring timely completion of research objectives.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 10 years of post-doctoral research experience in a relevant scientific discipline, with a strong publication record in top-tier journals.
- Extensive experience in developing and applying computational and statistical methods to biological data, including next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with bioinformatics tools and databases.
- Deep understanding of biological pathways, molecular mechanisms, and systems biology concepts.
- Proven ability to lead independent research, mentor junior scientists, and manage complex projects.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
- Demonstrated success in securing research funding (grants) is a significant asset.
- Must have a dedicated home office setup with a stable, high-speed internet connection to support remote collaboration and data-intensive work.
This advertiser has chosen not to accept applicants from your region.
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Principal Research Scientist - Computational Biology
Posted 7 days ago
Job Viewed
Job Description
Our client, a world-renowned scientific research institution, is seeking an exceptional Principal Research Scientist to lead pioneering research in Computational Biology. This is a fully remote, highly influential position that will involve developing and applying advanced computational methods to complex biological datasets. You will spearhead research initiatives, mentor junior scientists, and contribute to high-impact publications and grant proposals. The ideal candidate possesses a deep expertise in bioinformatics, statistical modeling, machine learning, and a proven track record of driving significant scientific advancements in a remote-first setting.
Responsibilities:
Responsibilities:
- Lead and conduct cutting-edge research in computational biology, focusing on areas such as genomics, proteomics, systems biology, or drug discovery.
- Develop novel computational algorithms and statistical models to analyze large-scale biological data.
- Design and execute complex bioinformatics pipelines and workflows.
- Collaborate with experimental biologists and clinicians to interpret results and guide future research directions.
- Manage research projects, including setting objectives, timelines, and resource allocation.
- Mentor and supervise junior research scientists, postdoctoral fellows, and graduate students.
- Author high-quality research papers for publication in leading peer-reviewed journals.
- Prepare and submit grant proposals to secure research funding.
- Present research findings at international conferences and symposia.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Contribute to the strategic direction of the research department.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience in an academic or industrial research setting.
- Demonstrated expertise in statistical analysis, machine learning, and data mining techniques applied to biological data.
- Proficiency in programming languages such as Python, R, and/or Perl, and experience with relevant scientific libraries.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, UCSC Genome Browser, Ensembl).
- Proven track record of leading research projects and publishing in high-impact journals.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong leadership, mentoring, and team collaboration capabilities.
- Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
- Experience working effectively and independently in a remote research environment.
- Strong grant writing experience is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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