17 Senior Research Scientist Computational Biology jobs in whatjobs
Senior Research Scientist - Computational Biology
Posted 21 days ago
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Job Description
Our client, a cutting-edge research organization, is seeking a highly accomplished Senior Research Scientist specializing in Computational Biology. This is a fully remote position, allowing you to contribute to groundbreaking scientific research from anywhere. You will play a pivotal role in developing and applying computational approaches to analyze complex biological data, drive discoveries, and accelerate research projects. The ideal candidate will have a strong background in bioinformatics, computational biology, statistics, or a related field, with extensive experience in analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design and implement computational pipelines for the analysis of large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and apply statistical and machine learning methods to extract meaningful insights from complex biological data.
- Collaborate with experimental biologists and clinicians to define research questions and design appropriate computational analyses.
- Interpret and present research findings to both technical and non-technical audiences.
- Develop and maintain high-quality, well-documented code and analytical workflows.
- Stay current with the latest advancements in computational biology, bioinformatics tools, and relevant biological domains.
- Contribute to the development of new algorithms, models, and methodologies.
- Manage research projects, including planning, execution, and reporting.
- Mentor junior scientists and contribute to the intellectual growth of the research team.
- Explore and integrate diverse data sources to answer complex biological questions.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Ensure data integrity, reproducibility, and ethical research practices.
Qualifications:
- PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of postdoctoral or industry experience in computational biology or bioinformatics.
- Expertise in analyzing high-throughput biological data (e.g., next-generation sequencing, microarrays, mass spectrometry).
- Proficiency in programming languages commonly used in computational biology (e.g., Python, R, Perl).
- Experience with statistical modeling, machine learning techniques, and data visualization tools.
- Familiarity with common bioinformatics databases, tools, and software packages.
- Strong understanding of molecular biology, genetics, or other relevant biological domains.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to effectively communicate complex scientific concepts.
- Proven ability to work independently and collaboratively in a remote research environment.
- Track record of scientific publications in reputable journals.
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Senior Research Scientist - Computational Biology
Posted 21 days ago
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Job Description
Our client, a pioneering biotechnology firm at the forefront of genetic research, is seeking a highly skilled and innovative Senior Research Scientist specializing in Computational Biology. This is a fully remote position, allowing you to contribute from anywhere. You will play a pivotal role in analyzing complex biological datasets, developing novel computational approaches, and driving groundbreaking discoveries. The ideal candidate will possess a strong academic background, extensive experience in bioinformatics, statistical analysis, and machine learning, coupled with a passion for unraveling biological mysteries. You will collaborate with a multidisciplinary team of scientists and engineers, applying your expertise to diverse research projects ranging from drug discovery to personalized medicine.
Responsibilities:
Responsibilities:
- Design and implement advanced computational methods for analyzing large-scale biological data (genomics, transcriptomics, proteomics, etc.).
- Develop and validate predictive models and algorithms using machine learning and statistical techniques.
- Collaborate with experimental biologists to interpret results and design future experiments.
- Contribute to the development of research proposals and grant applications.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Mentor junior researchers and contribute to team knowledge sharing.
- Evaluate and integrate new computational tools and technologies.
- Ensure the integrity and reproducibility of computational analyses.
- Contribute to the intellectual property portfolio of the company.
- Stay current with the latest advancements in computational biology and relevant scientific fields.
- Develop software pipelines for data processing and analysis.
- Troubleshoot and optimize computational workflows.
- Collaborate with data engineers to ensure data quality and accessibility.
- Contribute to the strategic direction of the research department.
- Effectively communicate complex scientific concepts to diverse audiences.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a closely related field.
- A minimum of 5 years of post-doctoral or industry research experience in computational biology.
- Demonstrated expertise in programming languages such as Python, R, or Perl.
- Strong experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Proficiency in statistical modeling, machine learning algorithms, and data mining techniques.
- Experience analyzing high-throughput sequencing data (e.g., RNA-Seq, ChIP-Seq, WGS).
- Excellent understanding of molecular biology principles.
- Proven track record of scientific publications and presentations.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a remote collaborative team.
- Excellent communication and interpersonal skills.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Experience with containerization technologies (Docker, Singularity) is desirable.
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Senior Research Scientist - Computational Biology
Posted 21 days ago
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Job Description
Our client, a leading biomedical research organization, is seeking a highly accomplished Senior Research Scientist specializing in Computational Biology. This is a fully remote position, offering an exceptional opportunity to conduct cutting-edge research and contribute to scientific advancements from your home office. You will lead and execute complex research projects, analyze large-scale biological datasets (genomics, transcriptomics, proteomics), and develop novel computational methods and algorithms. Your work will focus on unraveling biological mechanisms, identifying potential drug targets, and contributing to the development of new diagnostics and therapeutics. The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field, coupled with extensive research experience and a strong publication record. You will collaborate with a multidisciplinary team of biologists, chemists, and clinicians, and mentor junior researchers. Expertise in statistical analysis, machine learning, and programming is essential.
Key Responsibilities:
Key Responsibilities:
- Design, conduct, and lead independent research projects in computational biology.
- Analyze large-scale omics datasets (genomics, transcriptomics, proteomics, metabolomics) using advanced bioinformatics tools and pipelines.
- Develop and implement novel computational methods, algorithms, and statistical models for biological data analysis.
- Interpret research findings and translate them into biological insights and potential applications.
- Collaborate closely with experimental biologists, clinicians, and other researchers to design studies and interpret results.
- Publish research findings in high-impact peer-reviewed journals and present at scientific conferences.
- Mentor and guide junior scientists, postdoctoral fellows, and students in computational biology techniques.
- Contribute to grant writing and secure external funding for research projects.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant biological fields.
- Maintain robust documentation of research protocols, data, and analysis.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a closely related quantitative field.
- Minimum of 7 years of post-doctoral research experience in computational biology or bioinformatics.
- A strong publication record in peer-reviewed journals demonstrating leadership and impact in the field.
- Proven expertise in analyzing large-scale biological datasets, including next-generation sequencing data.
- Proficiency in programming languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries and tools.
- Strong understanding of statistical methods, machine learning, and data mining techniques applicable to biological data.
- Experience with high-performance computing environments and cloud computing platforms is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex results to diverse audiences.
- Ability to work independently and lead research initiatives in a remote setting.
- Experience in specific areas such as cancer genomics, systems biology, or drug discovery is advantageous.
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Senior Research Scientist - Computational Biology
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Research Scientist specializing in Computational Biology to join their cutting-edge research and development team. This is a fully remote position, offering the flexibility to work from anywhere within Kenya. The successful candidate will play a pivotal role in analyzing large biological datasets, developing predictive models, and contributing to groundbreaking discoveries in genomics, proteomics, and systems biology.
Responsibilities:
Responsibilities:
- Design and implement computational strategies to analyze complex biological data, including next-generation sequencing data, microarray data, and clinical data.
- Develop and validate algorithms and software tools for biological data analysis, interpretation, and visualization.
- Collaborate with cross-functional teams of biologists, chemists, and clinicians to define research objectives and experimental designs.
- Contribute to the interpretation of research findings and the preparation of manuscripts for publication in peer-reviewed journals.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Mentor junior researchers and provide technical guidance on computational approaches.
- Ensure data integrity, security, and compliance with relevant ethical guidelines.
- Present research findings at internal and external scientific conferences.
- Manage research projects, including timelines, resources, and deliverables.
- Contribute to grant proposals and secure funding for research initiatives.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 5 years of post-doctoral research experience in computational biology or bioinformatics.
- Proficiency in programming languages such as Python, R, or Perl, and experience with relevant bioinformatics libraries and tools.
- Strong understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with high-performance computing environments and cloud-based data analysis platforms.
- Demonstrated ability to manage complex research projects and lead scientific initiatives.
- Excellent communication, collaboration, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Proven track record of scientific publications and presentations.
- Experience with biological databases (e.g., GenBank, UniProt, PDB) and pathway analysis tools.
- Familiarity with molecular biology and genetics principles.
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Senior Research Scientist - Computational Biology
Posted 13 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior Research Scientist specializing in Computational Biology to join their cutting-edge, remote-first research and development team. This role is pivotal in leveraging advanced computational approaches to analyze complex biological data, drive scientific discovery, and contribute to the development of novel solutions. The ideal candidate will possess a strong background in bioinformatics, genomics, systems biology, or a related field, with extensive experience in statistical analysis, machine learning, and algorithm development. You will lead research projects, develop novel computational tools and pipelines, and collaborate closely with experimental biologists, data scientists, and other researchers.
Key Responsibilities:
Key Responsibilities:
- Lead research projects utilizing computational and statistical methods to analyze large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop, implement, and optimize novel computational algorithms, tools, and pipelines for biological data analysis.
- Collaborate with experimental scientists to design studies, interpret results, and generate biological insights.
- Apply machine learning and AI techniques to identify patterns, predict outcomes, and model biological systems.
- Contribute to the formulation of research hypotheses and the design of experiments.
- Prepare high-quality scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at internal meetings and international scientific conferences.
- Mentor junior scientists and research associates in computational biology techniques.
- Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
- Ensure reproducibility and rigorous documentation of all computational analyses and workflows.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience with a strong focus on biological data analysis.
- Demonstrated expertise in programming languages such as Python or R, and experience with relevant bioinformatics libraries and frameworks.
- Proficiency in statistical modeling, machine learning techniques, and algorithm development.
- Experience analyzing large-scale omics data (genomics, transcriptomics, proteomics, etc.).
- Strong understanding of molecular biology and genetics is essential.
- Excellent problem-solving, critical thinking, and analytical skills.
- Exceptional written and verbal communication skills, with the ability to explain complex computational concepts to diverse audiences.
- Proven ability to manage research projects and collaborate effectively in a remote setting.
- Experience with high-performance computing environments and cloud platforms is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Senior Research Scientist - Computational Biology
Posted 11 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior Research Scientist to join their pioneering computational biology team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in driving cutting-edge research, developing novel algorithms, and contributing to groundbreaking discoveries in the field of genomics and personalized medicine. Your primary responsibilities will include designing and executing complex bioinformatics analyses, managing large-scale biological datasets, and collaborating with cross-functional teams of biologists, chemists, and software engineers. We are looking for an individual who can independently lead research projects, from conception to publication, and mentor junior scientists.
The ideal candidate will possess a strong understanding of statistical modeling, machine learning techniques, and programming languages such as Python, R, or C++. Experience with cloud computing platforms (AWS, Azure, GCP) and distributed computing frameworks is highly desirable. You will be responsible for interpreting research findings, presenting results to stakeholders, and contributing to grant proposals and patent applications. A key aspect of this role involves staying abreast of the latest advancements in computational biology and translating them into actionable research strategies. You will work with diverse biological data, including next-generation sequencing (NGS) data, proteomics, and transcriptomics, to uncover complex biological mechanisms and identify potential therapeutic targets. The ability to effectively communicate intricate scientific concepts to both technical and non-technical audiences is crucial. We value a proactive, results-oriented approach and a passion for scientific exploration. If you are a visionary scientist eager to make a significant impact in a dynamic, remote-first environment, we encourage you to apply.
Location: While this is a remote role, the team has a strong presence and connection to research initiatives originating from Meru, Meru, KE . Potential candidates should be aware of the general geographical focus, though physical presence is not required.
Qualifications:
The ideal candidate will possess a strong understanding of statistical modeling, machine learning techniques, and programming languages such as Python, R, or C++. Experience with cloud computing platforms (AWS, Azure, GCP) and distributed computing frameworks is highly desirable. You will be responsible for interpreting research findings, presenting results to stakeholders, and contributing to grant proposals and patent applications. A key aspect of this role involves staying abreast of the latest advancements in computational biology and translating them into actionable research strategies. You will work with diverse biological data, including next-generation sequencing (NGS) data, proteomics, and transcriptomics, to uncover complex biological mechanisms and identify potential therapeutic targets. The ability to effectively communicate intricate scientific concepts to both technical and non-technical audiences is crucial. We value a proactive, results-oriented approach and a passion for scientific exploration. If you are a visionary scientist eager to make a significant impact in a dynamic, remote-first environment, we encourage you to apply.
Location: While this is a remote role, the team has a strong presence and connection to research initiatives originating from Meru, Meru, KE . Potential candidates should be aware of the general geographical focus, though physical presence is not required.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry research experience.
- Proven track record of leading research projects and publishing in peer-reviewed journals.
- Expertise in analyzing genomic and other high-throughput biological data.
- Proficiency in multiple programming languages and bioinformatics tools.
- Excellent problem-solving skills and a strong analytical mindset.
- Ability to work independently and collaboratively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
5
Senior Research Scientist - Computational Biology
Posted 11 days ago
Job Viewed
Job Description
Our client, a cutting-edge research institution focused on (mention specific area like genomics, drug discovery, or personalized medicine), is seeking an exceptional Senior Research Scientist specializing in Computational Biology to join their fully remote research division. This role is designed for an independent and innovative scientist who will lead projects involving the analysis of large-scale biological datasets, including genomics, transcriptomics, proteomics, and epigenomics. You will be responsible for developing and applying advanced computational methods, algorithms, and statistical models to uncover biological insights, identify disease mechanisms, and discover potential therapeutic targets. The ideal candidate possesses a strong background in bioinformatics, statistical genetics, machine learning, and experience with high-performance computing environments. You will collaborate with experimental biologists, clinicians, and other computational scientists to drive research forward. This is a unique opportunity to contribute to groundbreaking scientific discoveries in a flexible, remote setting.
Key Responsibilities:
Qualifications:
This role offers a stimulating environment for a driven scientist to make significant contributions to biological research and healthcare innovation, all while enjoying the benefits of a fully remote position. Our client is committed to scientific excellence and fostering a collaborative research community.
Key Responsibilities:
- Design and lead computational biology research projects, from hypothesis generation to data analysis and interpretation.
- Develop, implement, and validate novel computational algorithms and statistical methods for analyzing complex biological data.
- Analyze large-scale omics datasets (genomics, transcriptomics, proteomics, epigenomics) to identify patterns, biomarkers, and mechanisms of disease.
- Apply machine learning and artificial intelligence techniques to biological data for predictive modeling and discovery.
- Collaborate closely with experimental researchers to integrate computational findings with experimental validation.
- Develop and maintain robust data analysis pipelines and workflows.
- Interpret and present research findings to diverse scientific audiences through publications, conferences, and internal presentations.
- Contribute to grant writing and proposal development.
- Mentor junior computational biologists and research staff.
- Stay current with the latest advancements in computational biology, bioinformatics, and relevant biological fields.
- Manage research projects, ensuring timely completion and high-quality outcomes.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, Genetics, or a related field.
- Minimum of 5 years of post-doctoral or industry research experience in computational biology or a closely related discipline.
- Demonstrated expertise in analyzing large-scale omics datasets and applying statistical genetics and machine learning methods.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with relevant libraries and frameworks.
- Experience with high-performance computing (HPC) environments and cloud computing platforms (AWS, GCP, Azure).
- Strong understanding of molecular biology, genetics, and disease mechanisms.
- Proven track record of publications in peer-reviewed scientific journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex computational concepts to non-experts.
- Ability to work independently and collaboratively in a remote research environment.
This role offers a stimulating environment for a driven scientist to make significant contributions to biological research and healthcare innovation, all while enjoying the benefits of a fully remote position. Our client is committed to scientific excellence and fostering a collaborative research community.
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Senior Research Scientist - Computational Biology
Posted 7 days ago
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Job Description
Our client, a leading innovator in bioinformatics, is seeking a highly motivated and experienced Senior Research Scientist to join their dynamic, fully remote team. This pivotal role involves developing and implementing cutting-edge computational models for complex biological data analysis. You will be instrumental in designing, executing, and analyzing large-scale genomic and proteomic datasets, contributing to groundbreaking discoveries in disease research. The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Genetics, or a related field, with a strong publication record. Expertise in programming languages such as Python or R, and experience with machine learning algorithms applied to biological data are essential. You will collaborate closely with cross-functional teams of biologists, chemists, and data scientists, contributing to the entire research lifecycle from hypothesis generation to experimental design and data interpretation. Responsibilities include: conducting in-depth literature reviews to stay abreast of the latest scientific advancements; designing and validating novel algorithms for sequence alignment, variant calling, and phylogenetic analysis; developing robust pipelines for high-throughput data processing; mentoring junior researchers and contributing to grant proposals. This position offers the flexibility of a remote-first environment, allowing you to work from anywhere within Kenya. A strong understanding of statistical methods and experience with cloud computing platforms (e.g., AWS, GCP) will be highly advantageous. The ability to communicate complex scientific findings clearly and concisely to both technical and non-technical audiences is crucial. Join our client's mission to accelerate scientific progress and make a tangible impact on global health. The role is based in the region of Kericho, Kericho, KE , but is performed entirely remotely.
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Senior Research Scientist - Computational Biology
Posted 18 days ago
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Job Description
Our client, a leading innovator in the biotechnology sector, is seeking a highly skilled and experienced Senior Research Scientist to join their cutting-edge Computational Biology team. This is a fully remote position, offering the flexibility to work from anywhere. The ideal candidate will possess a deep understanding of biological systems and a strong proficiency in computational methods for data analysis and modeling. You will be instrumental in driving novel research initiatives, from experimental design to data interpretation, contributing to the development of groundbreaking therapeutic solutions. Your responsibilities will include developing and implementing advanced bioinformatics pipelines, analyzing large-scale genomic and proteomic datasets, and collaborating closely with wet-lab scientists to validate computational findings. You will also be responsible for staying abreast of the latest scientific literature and technological advancements in the field, identifying new opportunities for research and innovation. The role demands exceptional analytical and problem-solving skills, coupled with the ability to communicate complex scientific concepts clearly and concisely to both technical and non-technical audiences. A PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field is essential, along with a minimum of 5 years of relevant post-doctoral or industry research experience. Proven experience in programming languages such as Python or R, familiarity with machine learning techniques, and hands-on experience with cloud computing platforms (AWS, GCP, Azure) are required. Experience with genomic data analysis tools (e.g., GATK, STAR, Samtools) and visualization libraries is highly desirable. The ability to work independently and as part of a globally distributed team is crucial. This is an exceptional opportunity to make a significant impact in a dynamic and growing field, contributing to advancements that could change lives.
Location: Nyeri, Nyeri, KE (Remote)
Responsibilities:
Qualifications:
Location: Nyeri, Nyeri, KE (Remote)
Responsibilities:
- Design, develop, and execute computational biology research projects.
- Analyze large, complex biological datasets (genomics, transcriptomics, proteomics).
- Develop and optimize bioinformatics pipelines and algorithms.
- Collaborate with cross-functional teams, including biologists, chemists, and clinicians.
- Interpret research findings and translate them into actionable insights.
- Present research results at internal meetings and external conferences.
- Mentor junior researchers and contribute to a collaborative research environment.
- Maintain and manage research data and documentation.
- Stay current with scientific literature and emerging technologies.
Qualifications:
- PhD in Computational Biology, Bioinformatics, or a related field.
- 5+ years of post-doctoral or industry research experience.
- Strong programming skills (Python, R) and experience with relevant libraries.
- Proficiency in machine learning and statistical modeling.
- Experience with cloud computing platforms.
- Excellent understanding of molecular biology and genetics.
- Strong communication and presentation skills.
- Proven ability to work independently and in a team.
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8
Senior Research Scientist - Computational Biology
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Senior Research Scientist specializing in Computational Biology to join their pioneering, fully remote research and development team. This role is central to advancing our understanding of complex biological systems through cutting-edge computational approaches. The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, or a closely related field, coupled with extensive experience in developing and applying advanced algorithms and statistical methods to large-scale biological datasets. You will be responsible for designing and executing computational experiments, analyzing genomic, proteomic, and other omics data, and developing predictive models. Collaboration with bench scientists, data engineers, and other researchers will be paramount to translate computational findings into tangible research breakthroughs. This position requires a deep understanding of biological pathways, molecular mechanisms, and disease processes, as well as mastery of programming languages commonly used in bioinformatics (e.g., Python, R, Perl). Experience with machine learning techniques and big data platforms is highly desirable. The successful candidate will be a self-motivated, independent researcher capable of managing complex projects from conception to publication within a remote-first setting. A strong publication record in peer-reviewed journals is expected. This is an exceptional opportunity to contribute to impactful scientific discovery and drive innovation in a collaborative, virtual research environment. You will play a key role in exploring new frontiers in biological research and development.
Responsibilities:
Responsibilities:
- Develop and implement computational methodologies for analyzing large-scale biological datasets.
- Design and conduct in-silico experiments to investigate biological mechanisms and pathways.
- Build and validate predictive models using machine learning and statistical approaches.
- Collaborate with experimental biologists to interpret omics data and guide research directions.
- Develop software tools and pipelines for bioinformatics analysis.
- Present research findings at scientific conferences and in peer-reviewed publications.
- Mentor junior researchers and contribute to a collaborative research environment.
- Stay current with advancements in computational biology and relevant technologies.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- 5+ years of postdoctoral or industry research experience in computational biology.
- Proven expertise in analyzing genomics, transcriptomics, proteomics, or other omics data.
- Proficiency in programming languages such as Python, R, and/or C++.
- Strong knowledge of statistical modeling and machine learning techniques.
- Experience with biological databases and bioinformatics tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for scientific dissemination.
- Ability to work independently and effectively in a remote research setting.
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