11 Remote Senior Bioinformatics Scientist jobs in whatjobs
Remote Senior Bioinformatics Scientist
Posted 6 days ago
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Job Description
Our client is looking for a highly skilled and innovative Remote Senior Bioinformatics Scientist to join our cutting-edge research team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be instrumental in analyzing large-scale biological datasets, developing computational pipelines, and driving discoveries in areas such as genomics, transcriptomics, and proteomics. Your responsibilities will include designing and implementing bioinformatics workflows, performing statistical analysis of complex biological data, and visualizing findings to support research hypotheses. You will collaborate closely with molecular biologists, geneticists, and other research scientists to interpret results and guide experimental design. The ideal candidate will possess a strong background in bioinformatics, computational biology, or a related field, with a proven track record in analyzing diverse omics data. Expertise in programming languages such as Python or R, along with experience with relevant bioinformatics tools and databases, is essential. Excellent analytical and problem-solving skills are required, as is the ability to clearly communicate complex technical information to both computational and non-computational audiences. As a remote scientist, you must be highly self-motivated, organized, and adept at working independently while contributing effectively to a collaborative virtual team. This is a unique opportunity to work on impactful scientific research, leveraging advanced computational techniques to uncover biological insights and contributing to the development of novel therapeutic strategies, all within a flexible remote setting.
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Remote Senior Bioinformatics Scientist
Posted 10 days ago
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Job Description
Our client, a leading innovator in biological research, is seeking an exceptional Remote Senior Bioinformatics Scientist to join our cutting-edge research initiatives. This role is fully remote and will involve the analysis and interpretation of large-scale biological datasets, including genomics, transcriptomics, and proteomics data. You will be instrumental in developing and applying advanced computational methods to uncover novel biological insights, drive research hypotheses, and contribute to groundbreaking discoveries. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, or a closely related field, coupled with extensive experience in analyzing diverse biological data types. You will work collaboratively with a global team of scientists, providing bioinformatics expertise and support for various research projects. Key responsibilities include designing and executing bioinformatics pipelines, developing novel algorithms and statistical methods, visualizing complex biological data, and contributing to the interpretation of research findings. Experience with cloud computing platforms, machine learning techniques applied to biological data, and proficiency in programming languages such as Python or R are essential. You will also be expected to stay current with the latest advancements in bioinformatics and related fields, disseminate findings through publications and presentations, and mentor junior team members. This is a unique opportunity for a seasoned bioinformatician who thrives in an independent, research-intensive, and collaborative remote setting, contributing to significant advancements in science from anywhere.
Responsibilities:
Responsibilities:
- Design, develop, and implement sophisticated bioinformatics pipelines for analyzing large-scale genomic, transcriptomic, and proteomic data.
- Apply computational and statistical methods to identify biological patterns, biomarkers, and therapeutic targets.
- Collaborate with bench scientists to interpret experimental results and generate new hypotheses.
- Develop and adapt novel algorithms and computational tools for specific research questions.
- Perform rigorous quality control and statistical validation of data and results.
- Visualize complex biological data using appropriate tools and techniques.
- Contribute to the preparation of manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific conferences and internal meetings.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Provide bioinformatics support and mentorship to junior researchers.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, or Perl.
- Strong knowledge of statistical methods and machine learning techniques.
- Experience with bioinformatics databases, tools, and software packages.
- Familiarity with cloud computing environments (e.g., AWS, Google Cloud).
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills for scientific collaboration.
- Ability to work independently and manage research projects effectively in a remote setting.
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Remote Senior Bioinformatics Scientist
Posted 10 days ago
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Job Description
Our client is looking for a dedicated Remote Senior Bioinformatics Scientist to lead cutting-edge research and development initiatives. This is a fully remote position, requiring you to work independently from your preferred location. The successful candidate will possess extensive experience in analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics. Your primary focus will be on developing and implementing advanced computational methods and algorithms to extract meaningful insights from complex biological data. Responsibilities include designing and executing bioinformatics pipelines, interpreting experimental results, contributing to scientific publications, and collaborating with cross-functional research teams. You will be expected to stay abreast of the latest advancements in bioinformatics tools and techniques, and to contribute to the development of novel analytical strategies. Strong programming skills in languages such as Python, R, or Perl, along with experience in database management and statistical analysis, are crucial. Familiarity with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments is a significant advantage. The ideal candidate will hold a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field, with a strong publication record. You should have excellent problem-solving skills, a meticulous approach to data analysis, and the ability to communicate complex scientific concepts clearly and concisely to both technical and non-technical audiences. This role offers the opportunity to work on impactful research projects, contribute to scientific discovery, and collaborate with world-class scientists, all within a flexible remote work environment.
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2
Remote Senior Bioinformatics Scientist
Posted 12 days ago
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Job Description
Our client, a cutting-edge research institution focused on molecular biology and genomics, is seeking a highly accomplished Senior Bioinformatics Scientist to join their pioneering, fully remote team. This pivotal role involves the development and application of advanced computational and statistical methods to analyze large-scale genomic and molecular datasets. You will be at the forefront of discovering novel insights into biological pathways, disease mechanisms, and therapeutic targets. The ideal candidate will have a strong background in programming, statistical genetics, and machine learning, coupled with extensive experience in handling complex biological data. Responsibilities include designing and implementing robust bioinformatics pipelines, performing statistical analyses, visualizing complex data, and collaborating closely with experimental biologists and clinicians. This is a remote-first position, emphasizing innovation and collaboration in a virtual environment. You will be expected to contribute to scientific publications and present findings at international conferences. Exceptional problem-solving abilities and a passion for advancing scientific knowledge are essential.
Responsibilities:
Responsibilities:
- Design, develop, and implement bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., RNA-Seq, WGS, WES).
- Perform statistical analysis and interpretation of genomic, transcriptomic, and proteomic data.
- Apply machine learning algorithms to identify patterns and build predictive models.
- Collaborate with biologists and clinicians to define research questions and design experiments.
- Visualize complex biological data to facilitate understanding and communication of results.
- Develop and maintain custom scripts and software tools to support research needs.
- Contribute to the writing of scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at internal meetings and external scientific conferences.
- Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
- Mentor junior bioinformatics scientists and research staff.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics or computational biology.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, TCGA, GTEx).
- Strong understanding of statistical genetics, population genetics, and machine learning.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Track record of scientific publications and presentations.
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3
Remote Senior Bioinformatics Scientist
Posted 12 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Bioinformatics Scientist to join their innovative research and development team on a fully remote basis. This role is critical for advancing our understanding of complex biological data through computational analysis and the development of novel algorithms. As a Senior Bioinformatics Scientist, you will be responsible for designing, implementing, and validating computational pipelines for analyzing large-scale genomic, transcriptomic, and proteomic datasets. Your work will involve developing and applying statistical and machine learning methods to uncover biological insights, identify potential therapeutic targets, and contribute to the discovery of new scientific breakthroughs. You will collaborate closely with experimental biologists, geneticists, and other data scientists to interpret results and guide future research directions. Key responsibilities include data curation, quality control, statistical analysis, visualization, and the development of user-friendly bioinformatics tools. The ideal candidate will have a strong publication record in peer-reviewed journals and a proven track record of successfully leading bioinformatics projects. This position demands excellent programming skills (e.g., Python, R), extensive experience with bioinformatics databases and software packages, and a deep understanding of molecular biology and genomics. You must be able to work independently, manage complex projects, and effectively communicate scientific findings to diverse audiences, both written and verbally. Expertise in cloud computing environments (AWS, GCP) and containerization (Docker) is highly advantageous. We are looking for a forward-thinking individual who can identify emerging trends in bioinformatics and drive innovation within the field.
Qualifications:
This vital role supports research operations centered in **Nyeri, Nyeri, KE**, but is conducted entirely remotely.
Qualifications:
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5-7 years of hands-on experience in bioinformatics research and analysis.
- Strong programming skills in Python and/or R, with experience in relevant libraries (e.g., Biopython, SciPy, NumPy, Pandas).
- Extensive experience with NGS data analysis (e.g., WGS, WES, RNA-Seq) and relevant tools (e.g., BWA, SAMtools, GATK, STAR).
- Proficiency in statistical analysis and machine learning techniques applied to biological data.
- Familiarity with biological databases (e.g., NCBI, Ensembl, UniProt) and pathway analysis tools.
- Experience with version control systems (e.g., Git) and high-performance computing environments.
- Excellent problem-solving and critical thinking skills.
- Strong scientific communication and presentation skills.
- Must be comfortable working autonomously in a remote setting.
This vital role supports research operations centered in **Nyeri, Nyeri, KE**, but is conducted entirely remotely.
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4
Remote Senior Bioinformatics Scientist
Posted 16 days ago
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Job Description
Our client is looking for a highly accomplished Remote Senior Bioinformatics Scientist to join their pioneering Scientific Research & Development division. This is a fully remote position, allowing you to contribute to groundbreaking research from anywhere. You will be instrumental in analyzing complex biological datasets, developing novel computational tools, and driving discoveries in genomics and related fields. The ideal candidate possesses a strong background in computational biology, expertise in handling large-scale datasets, and a passion for scientific innovation.
Responsibilities:
Responsibilities:
- Develop and implement advanced computational and statistical methods for analyzing large-scale biological data, including genomics, transcriptomics, and proteomics.
- Design and execute bioinformatics pipelines for data processing, quality control, and feature extraction.
- Collaborate with experimental biologists and clinicians to define research questions and design studies.
- Interpret complex data to identify biological insights, potential drug targets, and biomarkers.
- Develop and maintain bioinformatics software, databases, and visualization tools.
- Stay at the forefront of bioinformatics research, evaluating and integrating new algorithms and technologies.
- Contribute to the writing of grant proposals, research papers, and internal reports.
- Present research findings at scientific conferences and meetings.
- Mentor junior bioinformatics staff and contribute to knowledge sharing within the team.
- Ensure data integrity, reproducibility, and security of all research data.
- Troubleshoot computational issues and optimize existing workflows for efficiency and scalability.
- Collaborate on the development of predictive models and machine learning applications for biological discovery.
- Work closely with IT and data infrastructure teams to ensure robust computational resources.
- Contribute to the strategic direction of the company's R&D initiatives.
- Review and critically assess scientific literature relevant to ongoing research projects.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of post-doctoral or industry experience in bioinformatics research.
- Extensive experience with common bioinformatics software, databases, and analytical tools.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Strong experience with next-generation sequencing (NGS) data analysis.
- Solid understanding of molecular biology, genetics, and related life sciences.
- Demonstrated ability to develop and apply novel computational methods.
- Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing (HPC) environments is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with a proven track record of publications.
- Ability to work independently and effectively in a remote, collaborative setting.
- Experience in mentoring junior scientists is highly valued.
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5
Remote Senior Bioinformatics Scientist
Posted 18 days ago
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Job Description
Our client, a cutting-edge biotechnology firm at the forefront of genetic research, is seeking a Remote Senior Bioinformatics Scientist to lead the analysis of large-scale genomic and proteomic datasets. This fully remote role offers the opportunity to contribute to groundbreaking discoveries from anywhere. You will be responsible for developing and applying computational methods to analyze biological data, interpret experimental results, and contribute to the development of novel diagnostics and therapeutics. The ideal candidate will possess a strong background in computational biology, statistical genetics, and programming, with extensive experience in analyzing next-generation sequencing (NGS) data. Your expertise will be crucial in uncovering biological insights and advancing our understanding of complex diseases. This position requires excellent analytical and problem-solving skills, a deep understanding of molecular biology, and the ability to collaborate effectively with a dispersed research team.
Responsibilities:
Responsibilities:
- Develop and implement computational pipelines for the analysis of genomic, transcriptomic, and proteomic data.
- Analyze next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-Seq.
- Apply statistical methods and machine learning techniques to biological data.
- Interpret complex biological data and provide actionable insights to research teams.
- Design and manage bioinformatics databases and repositories.
- Collaborate with biologists, geneticists, and clinicians on research projects.
- Stay up-to-date with the latest advancements in bioinformatics and genomics.
- Develop visualization tools and methods for biological data.
- Contribute to the writing of research publications and grant proposals.
- Ensure data integrity, quality control, and reproducibility of analyses.
- Mentor junior bioinformaticians and researchers.
- Evaluate and integrate new bioinformatics tools and technologies.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- 5+ years of experience in bioinformatics analysis, with a focus on genomics and transcriptomics.
- Proficiency in programming languages such as Python, R, Perl, or Java.
- Strong experience with NGS data analysis tools and workflows (e.g., BWA, GATK, STAR, DESeq2).
- Expertise in statistical analysis and machine learning techniques applicable to biological data.
- Familiarity with biological databases and public data repositories (e.g., NCBI, Ensembl, UniProt).
- Knowledge of molecular biology and genetics principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and manage multiple projects effectively in a remote environment.
- Strong communication and collaboration skills for working with diverse scientific teams.
- Experience with cloud computing platforms (AWS, GCP, Azure) for bioinformatics analysis is a plus.
- Experience with high-performance computing (HPC) environments.
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Remote Senior Bioinformatics Scientist
Posted 24 days ago
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Job Description
Our client, a cutting-edge biotechnology firm focused on revolutionary drug discovery and development, is seeking a highly skilled and experienced Senior Bioinformatics Scientist for a fully remote position. This critical role will involve the analysis and interpretation of large-scale biological datasets, including genomics, transcriptomics, and proteomics, to drive research initiatives. You will leverage advanced computational tools and algorithms to identify novel therapeutic targets, understand disease mechanisms, and guide experimental design. The ideal candidate will possess a strong background in computational biology, data science, and molecular biology, with a proven ability to translate complex data into actionable insights. You will collaborate with cross-functional teams of biologists, chemists, and clinicians, contributing significantly to our research pipeline. Responsibilities include:
Qualifications:
- Designing and implementing computational strategies for the analysis of multi-omics data.
- Developing and applying bioinformatics pipelines and algorithms for target identification and validation.
- Analyzing large genomic, transcriptomic, and proteomic datasets to uncover biological insights.
- Interpreting results and communicating findings clearly to both technical and non-technical audiences.
- Collaborating with experimental biologists to design and optimize research studies.
- Developing predictive models for drug response and disease progression.
- Staying current with advancements in bioinformatics, genomics, and computational biology.
- Managing and curating biological databases.
- Mentoring junior scientists and contributing to the development of team expertise.
- Presenting research findings at scientific conferences and in publications.
- Ensuring data integrity, reproducibility, and proper documentation of analyses.
- Contributing to grant writing and project proposals.
Qualifications:
- Ph.D. or equivalent in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral or industry experience in bioinformatics analysis.
- Proven expertise in analyzing large-scale genomics (e.g., WGS, WES, RNA-Seq) and other omics data.
- Strong programming skills in Python, R, or other relevant languages.
- Experience with bioinformatics tools, databases, and reference genomes.
- Proficiency in statistical analysis and machine learning techniques.
- Experience with cloud computing platforms (e.g., AWS, GCP) and containerization (e.g., Docker) is highly desirable.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong written and verbal communication skills, essential for remote collaboration.
- Ability to work independently and lead projects in a fast-paced research environment.
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7
Remote Senior Bioinformatics Scientist
Posted 26 days ago
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Job Description
Our client, a cutting-edge biotechnology research firm, is seeking a highly accomplished Remote Senior Bioinformatics Scientist to drive innovative research and development. This is a fully remote position, offering unparalleled flexibility for experienced researchers. You will be at the forefront of analyzing large-scale genomic, transcriptomic, and proteomic datasets to uncover novel biological insights, identify biomarkers, and develop therapeutic strategies. The ideal candidate will possess a strong computational biology background, extensive experience with diverse 'omics' data, and a passion for advancing scientific discovery.
Key Responsibilities:
Key Responsibilities:
- Design and implement computational pipelines for the analysis of high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Develop and apply statistical and machine learning methods to identify significant biological patterns and generate hypotheses.
- Analyze complex biological datasets, including genomics, transcriptomics, proteomics, and epigenomics.
- Collaborate closely with experimental biologists, clinicians, and other researchers to interpret results and design future experiments.
- Develop and maintain databases and knowledge bases for biological data management.
- Contribute to the development of novel algorithms and tools for bioinformatics analysis.
- Visualize complex biological data to effectively communicate findings to both technical and non-technical audiences.
- Stay current with the latest advancements in bioinformatics, genomics, and relevant computational techniques.
- Author and contribute to scientific publications and presentations.
- Mentor junior bioinformatics staff and contribute to team development.
- Ensure data integrity, reproducibility, and adherence to best practices in computational research.
- Participate in grant writing and project proposal development.
- Manage bioinformatics project timelines and deliverables.
- Evaluate and integrate new technologies and software solutions.
- Ph.D. or equivalent in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing large-scale genomic and other 'omics' datasets.
- Strong programming skills in languages such as Python, R, and/or Perl.
- Extensive experience with bioinformatics tools, databases, and algorithms (e.g., alignment tools like BWA/Bowtie, variant callers like GATK, differential expression analysis tools like DESeq2/edgeR).
- Proficiency in Linux/Unix environments and high-performance computing clusters.
- Experience with machine learning techniques and their application in biological data analysis.
- Excellent understanding of molecular biology, genetics, and relevant biological pathways.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Excellent written and verbal communication skills, with the ability to present complex findings effectively.
- Ability to work independently and collaboratively in a remote research setting.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Publications in peer-reviewed journals are highly desirable.
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8
Remote Senior Bioinformatics Scientist
Posted 26 days ago
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Job Description
Our client is a leading innovative firm in scientific research and development, seeking a highly skilled and experienced Remote Senior Bioinformatics Scientist. This fully remote position offers an exciting opportunity to contribute to cutting-edge research, leveraging your expertise in computational biology and data analysis to drive discoveries. You will be responsible for designing and implementing bioinformatics workflows, analyzing large-scale genomic and proteomic data, and developing novel computational approaches to address complex biological questions. Your work will be crucial in advancing our client's research objectives and contributing to significant scientific breakthroughs.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and optimize bioinformatics pipelines for analyzing next-generation sequencing (NGS) data, including genomics, transcriptomics, and proteomics.
- Analyze and interpret large biological datasets to identify patterns, trends, and correlations relevant to research hypotheses.
- Design and execute computational experiments to test biological hypotheses and validate findings.
- Collaborate closely with biologists, chemists, and other research scientists to integrate computational findings with experimental results.
- Develop and apply statistical and machine learning methods for biological data analysis.
- Stay abreast of the latest advancements in bioinformatics tools, algorithms, and technologies.
- Contribute to scientific publications, presentations, and grant proposals.
- Mentor junior bioinformatics staff and provide technical guidance.
- Manage bioinformatics projects, ensuring timely delivery of results and effective resource utilization.
- Ensure data integrity, reproducibility, and robust documentation of all computational analyses.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics research and data analysis, with a strong publication record.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, Bash).
- Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Experience with NGS data analysis platforms and workflows.
- Familiarity with high-performance computing environments and cloud computing platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities, effective in a remote team setting.
- Ability to work independently and manage research projects from conception to completion.
- Experience with data visualization tools is a plus.
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