4 Senior Research Scientist Computational Biology Remote jobs in whatjobs
Senior Research Scientist - Computational Biology - Remote
Posted 21 days ago
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Job Description
Our client is a pioneering research institution seeking an accomplished Senior Research Scientist specializing in Computational Biology. This is a fully remote position, offering an unparalleled opportunity for a motivated scientist to contribute to groundbreaking research from their preferred location. The ideal candidate will possess a strong background in bioinformatics, data analysis, algorithm development, and a proven track record of successfully applying computational approaches to complex biological problems. You will play a critical role in designing and executing computational studies, analyzing large-scale biological datasets, and contributing to the development of novel scientific insights.
Responsibilities:
Responsibilities:
- Design, develop, and implement computational methods and algorithms for analyzing large-scale biological data, including genomics, transcriptomics, proteomics, and metabolomics.
- Collaborate with experimental biologists and other researchers to define research questions and develop appropriate computational strategies.
- Analyze and interpret complex biological datasets to identify patterns, generate hypotheses, and draw meaningful conclusions.
- Develop and maintain robust data analysis pipelines and workflows.
- Contribute to the development of novel computational tools and software for biological research.
- Stay current with the latest advancements in computational biology, bioinformatics, and relevant fields.
- Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences.
- Mentor junior researchers and provide technical guidance.
- Manage computational resources and ensure data integrity and security.
- Contribute to grant writing and funding proposals.
- Evaluate and integrate emerging computational technologies and methodologies.
- Ensure compliance with data privacy and ethical research standards.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in computational biology or bioinformatics.
- Extensive experience with programming languages commonly used in bioinformatics, such as Python, R, Perl, or Java.
- Proficiency in analyzing large-scale biological datasets using various bioinformatics tools and databases.
- Strong understanding of statistical modeling, machine learning, and data mining techniques.
- Experience with high-performance computing environments and cloud computing platforms is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Demonstrated ability to work independently and lead research projects in a remote setting.
- Strong written and verbal communication skills, with a proven publication record.
- Ability to effectively collaborate with cross-disciplinary teams.
- Experience with specific areas such as single-cell analysis, genome assembly, or pathway analysis is a plus.
- Familiarity with version control systems (e.g., Git) is beneficial.
This advertiser has chosen not to accept applicants from your region.
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Senior Research Scientist - Computational Biology (Remote)
Posted 18 days ago
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Job Description
Our client, a leading research institution at the forefront of scientific discovery, is seeking a highly accomplished Senior Research Scientist specializing in Computational Biology to join their fully remote research team. This position is ideal for an experienced scientist passionate about applying computational methods to address complex biological questions and drive groundbreaking discoveries. You will be responsible for designing, developing, and implementing advanced computational algorithms and statistical models to analyze large-scale biological datasets, including genomics, proteomics, transcriptomics, and metabolomics. Your work will involve identifying patterns, deriving insights, and contributing to hypothesis generation in areas such as disease mechanisms, drug discovery, and personalized medicine. You will collaborate closely with experimental biologists, bioinformaticians, and clinicians in a virtual setting, ensuring seamless integration of computational approaches into multi-disciplinary research projects. Key responsibilities include data mining, pathway analysis, machine learning model development, and visualization of complex biological data. The ideal candidate will possess a strong academic background, extensive experience in bioinformatics and computational biology, and proficiency in programming languages such as Python or R. A deep understanding of statistical methods and experience with high-performance computing environments are essential. This role offers a unique opportunity to contribute to cutting-edge research and publish findings in leading scientific journals, all within a flexible, remote-first work environment. We are looking for proactive, independent thinkers with excellent problem-solving skills and a commitment to scientific rigor. The ability to effectively communicate complex scientific concepts to both technical and non-technical audiences in a virtual context is crucial.
Key Responsibilities:
Key Responsibilities:
- Develop and apply computational and statistical methods to analyze large-scale biological datasets (genomics, proteomics, etc.).
- Design and implement algorithms for data mining, pattern recognition, and machine learning in biology.
- Collaborate with experimental researchers in a remote setting to interpret results and generate hypotheses.
- Develop predictive models for disease progression, treatment response, or biological mechanisms.
- Perform pathway analysis and systems biology modeling.
- Contribute to the design and analysis of high-throughput screening experiments.
- Develop data visualization tools and dashboards for complex biological information.
- Stay current with the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Prepare manuscripts for publication in peer-reviewed journals and present research findings at conferences.
- Mentor junior researchers and contribute to a collaborative research environment.
- PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of post-doctoral or industry research experience in computational biology.
- Proven expertise in analyzing large biological datasets and developing computational models.
- Proficiency in programming languages such as Python, R, or Perl.
- Strong knowledge of statistical methods, machine learning, and data mining techniques.
- Experience with bioinformatics tools and databases.
- Familiarity with high-performance computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Demonstrated ability to work independently and manage research projects.
This advertiser has chosen not to accept applicants from your region.
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Senior Research Scientist (Computational Biology) (Remote)
Posted 13 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Research Scientist specializing in Computational Biology. This is a fully remote position, offering an exceptional opportunity to contribute to groundbreaking scientific research from the convenience of your home office. You will be responsible for designing and implementing computational approaches to analyze complex biological datasets, including genomics, transcriptomics, and proteomics. The ideal candidate will have a strong background in bioinformatics, statistical modeling, and machine learning, with proven experience in developing and applying computational tools to address significant biological questions. You will collaborate closely with experimental biologists, clinicians, and other computational scientists to interpret results and drive research forward. This role requires a deep understanding of biological systems, proficiency in programming languages (e.g., Python, R), and experience with high-performance computing environments. Join our client's innovative team and make a significant impact on scientific discovery in a flexible, remote-first setting.
Responsibilities:
Responsibilities:
- Develop and apply computational methods to analyze large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Design and implement algorithms and statistical models for biological data analysis.
- Collaborate with experimental researchers to define research questions and interpret findings.
- Develop and maintain bioinformatics pipelines and software tools.
- Utilize machine learning techniques to identify patterns and make predictions from biological data.
- Contribute to the design of computational aspects of research studies.
- Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences.
- Stay current with the latest advancements in computational biology, bioinformatics, and related fields.
- Manage and analyze data generated from various experimental platforms.
- Mentor junior scientists and contribute to team knowledge sharing.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry research experience in computational biology or bioinformatics.
- Strong programming skills in Python and/or R, including experience with relevant scientific libraries.
- Extensive experience with various biological data types and analysis techniques.
- Proficiency in statistical modeling and machine learning techniques.
- Experience with high-performance computing (HPC) environments and cloud platforms.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, collaborative team.
- Track record of publications in reputable scientific journals.
- Experience with genomics data analysis (e.g., WGS, WES, RNA-Seq) is highly desirable.
This advertiser has chosen not to accept applicants from your region.
2
Senior Research Scientist - Computational Biology (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished and innovative Senior Research Scientist specializing in Computational Biology to join their cutting-edge scientific team. This is a fully remote position, offering an exciting opportunity to drive groundbreaking research from your home office. You will be at the forefront of applying advanced computational methods to address complex biological questions, contributing to significant advancements in life sciences. Your primary responsibilities will involve developing and implementing sophisticated algorithms and statistical models for the analysis of large-scale biological datasets, including genomics, proteomics, and transcriptomics. You will collaborate closely with experimental biologists, bioinformaticians, and clinicians to design research studies, interpret data, and generate actionable insights. The ideal candidate will possess a strong theoretical background in biology, coupled with exceptional computational and statistical skills. A proven track record of independent research, scientific publications, and successful grant applications is highly desirable. You must be adept at programming in languages such as Python or R, and familiar with relevant bioinformatics tools and databases. This role demands creativity, scientific rigor, and the ability to communicate complex scientific findings effectively to diverse audiences. You will play a pivotal role in shaping the direction of our client's research initiatives and contributing to the development of novel therapeutic strategies.
Key Responsibilities:
Key Responsibilities:
- Design and implement computational strategies for analyzing large-scale biological data (genomics, transcriptomics, proteomics, etc.).
- Develop and apply novel algorithms and statistical models to biological problems.
- Collaborate with experimental scientists and clinicians to design research studies and interpret results.
- Identify and explore new research avenues based on data analysis and literature review.
- Contribute to the writing of scientific manuscripts for publication in high-impact journals.
- Present research findings at national and international conferences.
- Mentor junior researchers and contribute to a collaborative research environment.
- Develop and maintain robust computational pipelines and workflows.
- Evaluate and integrate new computational tools and technologies.
- Ensure the highest standards of scientific rigor and reproducibility in all research activities.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry research experience in computational biology or a closely related area.
- Strong proficiency in programming languages such as Python, R, or Perl, and experience with relevant scientific libraries.
- Extensive experience with bioinformatics tools, databases, and data analysis pipelines.
- Deep understanding of molecular biology, genetics, and statistical genetics.
- Demonstrated ability to conduct independent research and publish in peer-reviewed journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Proven ability to work effectively in a remote research setting and collaborate with diverse teams.
- Experience with machine learning techniques applied to biological data is a plus.
This advertiser has chosen not to accept applicants from your region.
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