11 Remote Senior Research Scientist Bioinformatics jobs in whatjobs
Remote Senior Research Scientist - Bioinformatics
Posted 4 days ago
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            Remote Senior Research Scientist - Bioinformatics
Posted 12 days ago
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            Remote Senior Research Scientist - Bioinformatics
Posted 12 days ago
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Key Responsibilities:
- Design and execute advanced bioinformatics analyses of large-scale biological datasets (genomics, transcriptomics, proteomics, metabolomics).
- Develop, implement, and optimize novel computational algorithms and pipelines for data analysis and interpretation.
- Collaborate with experimental biologists, clinicians, and other researchers to define research questions and analytical strategies.
- Interpret complex results, identify key findings, and translate them into actionable insights and scientific publications.
- Manage and curate biological databases and data resources.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant 'omic' technologies.
- Supervise and mentor junior researchers and bioinformaticians.
- Contribute to grant writing and funding proposals.
- Present research findings at international conferences and contribute to scientific publications.
- Ensure data integrity, reproducibility, and compliance with ethical research standards.
- Maintain expertise in programming languages and tools commonly used in bioinformatics (e.g., R, Python, Perl, BioConductor).
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in bioinformatics or computational biology.
- Demonstrated expertise in analyzing various types of 'omic' data and experience with high-performance computing environments.
- Proficiency in programming languages such as Python, R, and/or Perl, and associated bioinformatics libraries.
- Strong understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with sequence alignment, variant calling, gene expression analysis, and pathway analysis.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong publication record in peer-reviewed journals.
- Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
- Proven ability to work independently and collaboratively in a remote research setting.
- Experience with cloud-based bioinformatics platforms is a plus.
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            Remote Senior Research Scientist - Bioinformatics
Posted 16 days ago
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Key Responsibilities:
- Lead the design and implementation of bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., RNA-Seq, WGS, WES).
- Develop and validate novel computational methods and statistical models for biological data analysis.
- Analyze and interpret complex genomic, proteomic, and other omics data to identify patterns, biomarkers, and therapeutic targets.
- Collaborate closely with experimental biologists, geneticists, and clinicians to integrate computational findings with biological hypotheses.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Develop and maintain documentation for bioinformatics pipelines, software, and analysis protocols.
- Present research findings at internal meetings and scientific conferences.
- Mentor junior scientists and contribute to the scientific direction of research projects.
- Stay abreast of the latest advancements in bioinformatics, genomics, machine learning, and related fields.
- Contribute to grant writing and manuscript preparation.
- Utilize cloud computing platforms for scalable data analysis.
- Identify and evaluate new computational tools and technologies to enhance research capabilities.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 5+ years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing large-scale genomic and transcriptomic datasets.
- Strong programming skills in Python and/or R, including experience with bioinformatics libraries (e.g., Biopython, Bioconductor).
- Proficiency in using command-line tools and scripting for data analysis on Unix/Linux systems.
- Solid understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with database management (SQL, NoSQL) and data warehousing.
- Familiarity with cloud computing environments (AWS, GCP, Azure) and containerization (Docker, Singularity).
- Excellent written and verbal communication skills, with a track record of publications and presentations.
- Demonstrated ability to work independently and collaboratively in a remote research setting.
- Experience with single-cell RNA-seq analysis is highly desirable.
- Knowledge of human genetics and disease biology is a strong plus.
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            Remote Senior Research Scientist - Bioinformatics
Posted 20 days ago
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Responsibilities:
- Design and implement computational strategies for analyzing large-scale genomic, transcriptomic, and proteomic data.
- Develop and validate novel bioinformatics algorithms and pipelines for diverse research applications.
- Collaborate with molecular biologists, geneticists, and other scientists to interpret experimental results and guide future research directions.
- Apply advanced statistical and machine learning techniques to extract meaningful insights from biological data.
- Manage and maintain bioinformatics databases and computational infrastructure.
- Contribute to the writing of research papers, grant proposals, and scientific publications.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Present research findings at scientific conferences and internal meetings.
- Mentor junior researchers and provide technical guidance on bioinformatics tools and methodologies.
- Ensure data integrity and reproducibility of computational analyses.
- Support research initiatives focused on health outcomes relevant to regions like Mombasa, Mombasa, KE .
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of postdoctoral or industry experience in bioinformatics research.
- Proven track record of significant contributions to biological data analysis, evidenced by publications in high-impact journals.
- Expertise in programming languages commonly used in bioinformatics, such as Python, R, Perl, or C++.
- Proficiency with bioinformatics tools and databases (e.g., BLAST, Bowtie, GATK, UCSC Genome Browser).
- Strong experience with next-generation sequencing (NGS) data analysis.
- Solid understanding of molecular biology, genetics, and statistics.
- Experience with machine learning techniques and libraries (e.g., scikit-learn, TensorFlow).
- Excellent problem-solving, analytical, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and collaboratively in a remote research environment.
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            Remote Senior Research Scientist - Bioinformatics
Posted 22 days ago
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Job Description
Responsibilities:
- Design, develop, and implement sophisticated bioinformatics pipelines and algorithms for the analysis of high-throughput sequencing data (e.g., genomics, transcriptomics, epigenomics).
- Analyze and interpret complex biological datasets, including variant calling, gene expression analysis, pathway analysis, and comparative genomics.
- Develop and apply statistical methods to biological research questions.
- Collaborate closely with experimental biologists, geneticists, and clinicians to define research objectives and experimental designs.
- Contribute to the interpretation of research findings and the generation of scientific publications and presentations.
- Develop and maintain robust, well-documented code and workflows.
- Stay abreast of the latest advancements in bioinformatics, genomics, computational biology, and relevant scientific fields.
- Mentor junior scientists and provide technical guidance on bioinformatics approaches.
- Manage multiple research projects simultaneously, ensuring timely delivery of results.
- Contribute to grant writing and the development of new research initiatives.
- Evaluate and integrate new bioinformatics tools and technologies into existing workflows.
- Ensure data integrity, reproducibility, and compliance with ethical guidelines.
- Present research findings at scientific conferences and meetings.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related quantitative field.
- A minimum of 6 years of post-doctoral research experience in bioinformatics or computational biology.
- Proven track record of successful research, evidenced by peer-reviewed publications in reputable journals.
- Extensive experience with large-scale genomic and transcriptomic data analysis.
- Proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or C++.
- Strong command of Linux/Unix environments and shell scripting.
- Expertise in using bioinformatics databases, tools, and software packages (e.g., BLAST, GATK, Bowtie, Samtools, DESeq2).
- Solid understanding of molecular biology, genetics, and statistics.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) for bioinformatics analysis is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex scientific information clearly.
- Demonstrated ability to work independently and collaboratively in a remote research setting.
- Experience with machine learning techniques applied to biological data is highly desirable.
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            Remote Senior Research Scientist - Bioinformatics
Posted 23 days ago
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Job Description
Key Responsibilities:
- Design and implement bioinformatics analysis pipelines.
- Analyze large-scale biological datasets (NGS, genomics, proteomics).
- Develop computational tools and algorithms for data analysis.
- Interpret and present complex biological data to research teams.
- Contribute to scientific publications and grant proposals.
- Ensure data integrity and statistical rigor.
- Collaborate with cross-functional research teams.
- Stay abreast of the latest advancements in bioinformatics and genomics.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field.
- Minimum of 5 years of post-doctoral research experience in bioinformatics.
- Expertise in analyzing NGS data and applying statistical methods.
- Proficiency in programming languages such as Python, R, and Perl.
- Experience with cloud computing platforms (AWS, GCP, Azure).
- Strong understanding of molecular biology and genetics.
- Excellent scientific writing and communication skills.
- Demonstrated ability to work independently and as part of a remote team.
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Remote Senior Research Scientist - Bioinformatics
Posted 24 days ago
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Job Description
- Design, develop, and implement advanced bioinformatics pipelines for the analysis of large-scale genomic and proteomic data.
- Analyze next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq data.
- Identify and validate novel biomarkers for diagnostic or therapeutic applications.
- Develop and apply computational methods for gene expression analysis, variant calling, and pathway analysis.
- Collaborate with experimental biologists and clinicians to interpret data and design new studies.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Contribute to the writing of scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at internal meetings and external scientific conferences.
- Develop and maintain robust documentation for computational workflows and analyses.
- Mentor junior researchers and contribute to the scientific growth of the team.
- Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
- Minimum of 5-7 years of post-doctoral or industry research experience in bioinformatics.
- Proven expertise in analyzing large biological datasets, particularly NGS data.
- Proficiency in programming languages such as Python, R, or Perl.
- Extensive experience with bioinformatics tools, databases, and software (e.g., BLAST, GATK, IGV, Galaxy).
- Strong understanding of molecular biology, genetics, and statistics.
- Demonstrated track record of scientific publications and presentations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, suitable for a remote team environment.
- Ability to work independently and manage research projects effectively.
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            Remote Senior Research Scientist - Bioinformatics
Posted 24 days ago
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Job Description
Responsibilities:
- Design and conduct bioinformatics analyses of large-scale genomic, transcriptomic, proteomic, and other omics data.
- Develop, implement, and validate novel computational methods and algorithms for biological data analysis.
- Interpret research findings and translate them into actionable insights for research projects.
- Collaborate closely with experimental biologists, clinicians, and other researchers to support their scientific objectives.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific domains.
- Contribute to the writing of research papers, grant proposals, and technical reports.
- Present research findings at scientific conferences and internal meetings.
- Manage bioinformatics projects, including setting timelines, resources, and deliverables.
- Mentor junior scientists and provide technical guidance.
- Ensure the highest standards of data integrity, reproducibility, and documentation.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry research experience in bioinformatics.
- Extensive experience with programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Java).
- Proficiency with bioinformatics software, databases, and analytical pipelines (e.g., BLAST, GATK, SAMtools).
- Strong understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with high-performance computing environments (HPC) and cloud computing platforms.
- Demonstrated track record of peer-reviewed publications in reputable scientific journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, multidisciplinary team.
- Proven ability to independently manage research projects and drive them to completion.
Is this job a match or a miss?
 
            
        
                                
            
                 
            
        
            Remote Senior Research Scientist - Bioinformatics
Posted 24 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and implement computational strategies for analyzing diverse biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and apply advanced statistical and machine learning algorithms for biological data interpretation.
- Identify, evaluate, and integrate novel bioinformatics tools and methodologies.
- Collaborate with experimental biologists and clinicians to formulate research hypotheses and design studies.
- Interpret complex research findings and present them clearly to both technical and non-technical audiences.
- Contribute to the writing of research grants, publications, and patent applications.
- Mentor junior scientists and provide technical guidance on bioinformatics projects.
- Ensure the quality, integrity, and reproducibility of computational analyses.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Manage multiple research projects concurrently, adhering to timelines and objectives.
- Develop and maintain robust codebases and documentation for computational pipelines.
- Contribute to the strategic direction of the company's research and development efforts.
- Ensure compliance with data privacy and security regulations.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral or industry research experience in bioinformatics.
- Extensive experience with programming languages such as Python, R, and Perl.
- Proficiency in using bioinformatics databases, tools, and pipelines (e.g., BLAST, GATK, WGS/WES analysis).
- Strong understanding of molecular biology, genetics, and disease mechanisms.
- Demonstrated experience with statistical modeling and machine learning techniques.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Proven ability to communicate complex scientific concepts effectively, both verbally and in writing.
- Experience leading research projects and mentoring junior staff.
- Familiarity with cloud computing platforms (AWS, GCP) is a plus.
- Ability to work independently and collaborate effectively in a fully remote research environment.
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