What Jobs are available for Remote Senior Bioinformatics Scientist in Kenya?
Showing 88 Remote Senior Bioinformatics Scientist jobs in Kenya
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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Remote Senior Bioinformatics Scientist - Genomics
Posted 21 days ago
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Job Description
Our client, a pioneering research institution at the cutting edge of scientific discovery, is seeking an exceptional Senior Bioinformatics Scientist to join their genomics research division on a fully remote basis. This crucial role involves the analysis and interpretation of large-scale genomic datasets to drive groundbreaking research in areas such as human health, disease mechanisms, and evolutionary biology. You will be responsible for developing and implementing sophisticated computational pipelines, applying advanced statistical methods, and contributing to the design of high-throughput sequencing experiments. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related quantitative field, with extensive experience in analyzing next-generation sequencing (NGS) data. Responsibilities include performing data quality control, variant calling, functional annotation, and comparative genomics analysis. You will collaborate closely with molecular biologists, geneticists, and clinicians to interpret results and publish findings in high-impact scientific journals. Proficiency in programming languages (e.g., Python, R), scripting, and experience with bioinformatics databases and tools are essential. Experience with cloud computing platforms (AWS, GCP, Azure) and large dataset management is highly desirable. This role requires excellent analytical and problem-solving skills, strong communication abilities for cross-disciplinary collaboration, and the capacity to work independently and manage complex projects in a remote setting. This is an unparalleled opportunity to contribute to transformative scientific research and advance the field of genomics, all from a flexible remote work environment. If you are a dedicated and innovative bioinformatician seeking to push the boundaries of scientific knowledge, we encourage you to apply. Your contributions will be vital in unraveling the complexities of the genome and translating discoveries into tangible benefits.
Responsibilities:
Responsibilities:
- Develop, implement, and optimize computational pipelines for the analysis of large-scale genomic datasets (e.g., WGS, WES, RNA-Seq).
- Perform data quality assessment, variant calling, annotation, and functional interpretation.
- Conduct comparative genomics, phylogenetic analysis, and population genetics studies.
- Collaborate with biologists and clinicians to interpret genomic findings in the context of biological questions and disease mechanisms.
- Design and implement statistical methods for analyzing complex biological data.
- Contribute to the writing of scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific conferences and meetings.
- Develop and maintain bioinformatics tools and databases.
- Provide technical guidance and mentorship to junior researchers.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related quantitative field.
- 5+ years of post-doctoral or industry experience in bioinformatics, with a focus on genomics.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python and R, and experience with relevant bioinformatics libraries and packages.
- Strong experience with command-line interface (CLI) and scripting languages (e.g., Bash).
- Familiarity with public genomic databases (e.g., NCBI, Ensembl) and data formats (e.g., VCF, BAM, FASTA).
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for scientific collaboration.
- Ability to work independently and manage projects effectively in a remote research environment.
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1
Senior Remote Bioinformatics Scientist
Posted 7 days ago
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Job Description
Our client is seeking a highly skilled and motivated Senior Remote Bioinformatics Scientist to join their innovative research and development team, operating entirely remotely. In this critical role, you will be at the forefront of analyzing large-scale biological datasets to drive scientific discovery and innovation. Your responsibilities will include developing, implementing, and validating computational methods and pipelines for the analysis of genomic, transcriptomic, proteomic, and other 'omic' data. You will collaborate closely with experimental biologists, geneticists, and other researchers to design experiments, interpret results, and contribute to research hypotheses. Expertise in statistical analysis, machine learning, and data mining techniques applied to biological data is essential. You will be responsible for data management, quality control, and the visualization of complex biological information. Proficiency in programming languages such as Python or R, along with experience using bioinformatics tools and databases, is mandatory. Developing and maintaining robust bioinformatics workflows and ensuring their reproducibility will be a key focus. You will contribute to the writing of scientific publications, grant proposals, and technical reports. Staying current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields is crucial. The ideal candidate possesses strong analytical and problem-solving skills, a deep understanding of biological principles, and the ability to work independently and collaboratively within a remote team structure. Excellent communication skills are required to effectively present complex findings to both technical and non-technical audiences. This fully remote position offers an exceptional opportunity to contribute to cutting-edge scientific research and make a significant impact on our understanding of complex biological systems.
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2
Senior Bioinformatics Scientist - Remote
Posted 10 days ago
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Job Description
Our client is a leading innovator in scientific research, seeking a highly skilled and experienced Senior Bioinformatics Scientist to join their globally distributed, remote-first team. This pivotal role involves the analysis of large-scale biological datasets, leveraging cutting-edge computational tools and methodologies. You will play a crucial role in uncovering novel insights from genomic, transcriptomic, and proteomic data, contributing directly to groundbreaking research projects. The position requires a deep understanding of biological systems coupled with advanced computational expertise. You will work collaboratively with a team of researchers, clinicians, and data scientists, all operating in a fully remote environment. Your contributions will be vital in driving discoveries that have the potential to revolutionize healthcare and scientific understanding.
Key Responsibilities:
Key Responsibilities:
- Design and implement sophisticated computational analyses for complex biological datasets, including next-generation sequencing data.
- Develop and maintain robust pipelines for data processing, quality control, and statistical analysis.
- Interpret and present complex bioinformatics findings to both technical and non-technical audiences.
- Collaborate with experimental biologists and other researchers to define research questions and develop analytical strategies.
- Contribute to the development of novel algorithms and software tools for biological data analysis.
- Manage and curate large bioinformatics databases.
- Stay current with the latest advancements in bioinformatics, genomics, and related fields.
- Mentor junior scientists and contribute to knowledge sharing within the research community.
- Ensure data integrity, reproducibility, and compliance with relevant scientific standards.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral or industry experience in bioinformatics research.
- Demonstrated expertise in programming languages such as Python, R, and/or Perl.
- Extensive experience with bioinformatics tools, databases, and public repositories (e.g., NCBI, Ensembl, UCSC Genome Browser).
- Proficiency in statistical analysis and machine learning techniques applied to biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments.
- Strong understanding of molecular biology, genetics, and genomics.
- Excellent problem-solving skills and the ability to work independently and effectively in a remote, collaborative setting.
- Proven track record of publications and contributions to scientific research.
- Exceptional communication and presentation skills.
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3
Senior Bioinformatics Scientist (Remote)
Posted 2 days ago
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Job Description
Our client is seeking a highly skilled and motivated Senior Bioinformatics Scientist to join their cutting-edge research and development team. This is a fully remote position, offering the flexibility to work from anywhere, but the role is conceptually anchored to Embu, Embu, KE . The ideal candidate will have a PhD or Master's degree in Bioinformatics, Computational Biology, Genetics, or a related field, coupled with extensive experience in analyzing large-scale biological datasets. You will be instrumental in designing and implementing computational strategies to extract meaningful insights from genomic, proteomic, and transcriptomic data. Responsibilities include developing and applying algorithms for data processing, feature extraction, and statistical modeling. You will work on diverse research projects, including but not limited to, gene expression analysis, variant calling, pathway analysis, and the development of predictive models. Collaboration with experimental biologists, clinicians, and other computational scientists is a key aspect of this role. The ability to interpret complex biological questions and translate them into computational workflows is crucial. Experience with various programming languages such as Python, R, and Perl, along with expertise in using bioinformatics databases and tools (e.g., BLAST, Ensembl, UCSC Genome Browser), is essential. Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments is highly desirable. You should have a strong publication record in peer-reviewed journals and experience in presenting research findings at scientific conferences. This role requires a proactive individual with excellent problem-solving skills and the ability to work independently in a remote, fast-paced research environment. The successful candidate will contribute significantly to the advancement of our client's scientific endeavors and have a direct impact on future research directions.
Responsibilities:
Responsibilities:
- Design and execute computational analyses of large-scale genomic and molecular datasets.
- Develop, optimize, and maintain bioinformatics pipelines and workflows.
- Collaborate with cross-functional teams to address complex biological research questions.
- Perform statistical analysis and machine learning to identify patterns and build predictive models.
- Contribute to the interpretation of results and the generation of scientific publications.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Mentor junior scientists and contribute to team knowledge sharing.
- Manage research projects, ensuring timely delivery of results and adherence to best practices.
- Utilize cloud computing and HPC resources effectively for data analysis.
- PhD or Master's degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 7 years of post-graduate experience in bioinformatics or computational biology.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Strong knowledge of statistical methods and machine learning techniques.
- Experience with bioinformatics databases, tools, and software packages.
- Familiarity with cloud computing platforms and HPC environments.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and interpersonal skills, with the ability to present complex information clearly.
- Proven ability to work independently and as part of a collaborative remote team.
- A strong publication record in relevant scientific journals.
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4
Senior Bioinformatics Scientist - Remote Genomics
Posted 24 days ago
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Job Description
Our client, a pioneering biotechnology company at the forefront of genomic research, is seeking a Senior Bioinformatics Scientist to join their esteemed, fully remote R&D division. This is an exceptional opportunity to contribute to groundbreaking discoveries by applying advanced computational and statistical methods to complex genomic datasets. The successful candidate will play a crucial role in the design, analysis, and interpretation of large-scale genomic studies, leading to novel insights in disease mechanisms and therapeutic development. We are looking for an individual with a profound understanding of bioinformatics pipelines, strong programming skills, and a proven ability to drive research projects to completion. The ideal candidate will thrive in a collaborative, remote-first environment, leveraging cutting-edge tools and techniques to push the boundaries of genomic science.
Responsibilities:
Responsibilities:
- Design and implement bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including WGS, WES, RNA-Seq, and epigenomic data.
- Develop and apply statistical and machine learning methods for the identification of genetic variants, gene expression patterns, and regulatory elements.
- Collaborate closely with biologists, geneticists, and clinicians to interpret genomic findings and their biological significance.
- Develop custom software tools and scripts to facilitate data analysis and visualization.
- Manage and process large-scale genomic datasets, ensuring data integrity and quality control.
- Contribute to the design of genomic experiments and clinical trials.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Mentor junior bioinformatics staff and contribute to team development.
- Evaluate and integrate new bioinformatics tools and technologies into existing workflows.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 5-8 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics.
- Expertise in analyzing various NGS data types and utilizing standard bioinformatics tools (e.g., GATK, BWA, STAR, SAMtools).
- Proficiency in programming languages such as Python, R, and Bash.
- Strong understanding of statistical concepts and machine learning algorithms relevant to biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis is highly desirable.
- Excellent communication, collaboration, and problem-solving skills.
- Proven track record of leading bioinformatics projects and delivering impactful results.
- Experience with molecular biology techniques and pathways is a plus.
- Publications in reputable scientific journals are expected.
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5
Senior Remote Data Scientist - Bioinformatics
Posted 20 days ago
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Job Description
Our client, a leading innovator in scientific research, is seeking a highly skilled and experienced Senior Remote Data Scientist specializing in Bioinformatics to join our pioneering team. This fully remote position offers the opportunity to leverage vast datasets to drive groundbreaking discoveries and contribute to cutting-edge research projects. The ideal candidate will possess a deep understanding of biological data analysis, advanced statistical modeling, and machine learning techniques. You will work closely with a multidisciplinary team of researchers, biologists, and computational scientists to interpret complex biological information and translate it into actionable insights.
Key Responsibilities:
Key Responsibilities:
- Design and implement sophisticated bioinformatics pipelines for analyzing large-scale genomic, proteomic, and transcriptomic data.
- Develop and apply advanced statistical and machine learning models to identify patterns, predict outcomes, and uncover novel biological insights.
- Collaborate with research teams to define research questions, design experiments, and interpret results in the context of biological hypotheses.
- Clean, pre-process, and curate diverse biological datasets from various sources, ensuring data integrity and quality.
- Develop and maintain robust code and documentation for reproducible research.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and data science, and apply them to current projects.
- Present complex findings clearly and concisely to both technical and non-technical audiences through reports, visualizations, and presentations.
- Mentor junior data scientists and researchers, sharing expertise and fostering a collaborative research environment.
- Contribute to the development of research strategies and identify new avenues for data-driven exploration.
- Ensure compliance with data privacy and security best practices.
Qualifications:- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in bioinformatics and data science, with a proven track record of research contributions.
- Extensive experience with biological data analysis tools and programming languages such as Python (with libraries like Biopython, Pandas, NumPy, SciPy, Scikit-learn) and R.
- Strong understanding of statistical methods, machine learning algorithms, and their application to biological data.
- Experience with next-generation sequencing (NGS) data analysis (e.g., WGS, RNA-Seq).
- Proficiency in database management (SQL and NoSQL) and data warehousing concepts.
- Excellent problem-solving abilities and a strong aptitude for analytical thinking.
- Superb communication and collaboration skills, with the ability to work effectively in a fully remote, distributed team.
- Demonstrated ability to work independently and manage multiple projects concurrently.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
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6
Remote Senior Data Scientist - Bioinformatics
Posted 21 days ago
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Job Description
Our client is seeking a highly skilled and innovative Remote Senior Data Scientist to join their cutting-edge Scientific Research & Development team. This is a fully remote opportunity, allowing you to contribute to groundbreaking research from anywhere. You will be responsible for designing and implementing advanced statistical models and machine learning algorithms to analyze complex biological datasets. Your work will focus on areas such as genomics, proteomics, and drug discovery, driving new insights and accelerating research pipelines. Key responsibilities include data preprocessing, feature engineering, model selection, validation, and interpretation of results. You will collaborate closely with biologists, chemists, and other data scientists to address challenging research questions. This role requires a strong understanding of biological principles and their integration with data science methodologies. You will also be expected to mentor junior data scientists, contribute to research publications, and present findings at scientific conferences. Proficiency in programming languages such as Python or R, and experience with big data technologies and cloud computing platforms (AWS, Azure, GCP) are essential. A proven track record of successfully applying data science techniques to biological problems is a must. Experience with bioinformatics tools and databases (e.g., NCBI, Ensembl, UCSC Genome Browser) is highly desirable. The ideal candidate will possess excellent problem-solving skills, a keen eye for detail, and the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. This is a unique opportunity to work on impactful research and shape the future of scientific discovery in a flexible, remote environment. Join us in pushing the boundaries of scientific knowledge and making a tangible difference in healthcare and biotechnology. The role is based in **Kericho, Kericho, KE**, but is offered on a fully remote basis. A PhD or Master's degree in Data Science, Bioinformatics, Computer Science, Statistics, or a related quantitative field is required, along with at least 5 years of relevant industry or academic research experience. Strong knowledge of statistical modeling, machine learning, and experimental design is crucial.
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7
Remote Senior Research Scientist - Bioinformatics
Posted 12 days ago
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Job Description
Our client is a leading research institution seeking a highly motivated and innovative Remote Senior Research Scientist specializing in Bioinformatics. This role is critical for advancing our understanding of complex biological systems through the application of cutting-edge computational and statistical methods. You will lead projects involving the analysis of large-scale genomic, proteomic, and other 'omic' datasets, develop novel analytical pipelines, and collaborate with interdisciplinary teams to drive scientific discovery. This is a fully remote position, allowing you to conduct world-class research from anywhere.
Key Responsibilities:
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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8
Senior Remote Research Scientist - Bioinformatics
Posted 7 days ago
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Job Description
Our client, a pioneering biotechnology research firm, is seeking an exceptional Senior Remote Research Scientist specializing in Bioinformatics. This is a fully remote, high-impact position requiring a seasoned scientist to drive innovative research in genomic data analysis and interpretation. You will leverage advanced computational tools and methodologies to unravel complex biological questions, contributing significantly to groundbreaking discoveries. The role demands a deep understanding of statistical analysis, algorithm development, and data visualization within a life sciences context. The successful candidate will work collaboratively with a global team of researchers, contributing their expertise from a remote location. This opportunity is ideal for an independent thinker with a passion for scientific inquiry and a proven ability to deliver impactful research outcomes in a virtual setting.
Responsibilities:
Qualifications:
Responsibilities:
- Design and conduct advanced bioinformatics analyses on large-scale genomic, transcriptomic, and proteomic datasets.
- Develop and implement novel computational algorithms and statistical methods for biological data analysis.
- Interpret complex biological data, identify patterns, and generate testable hypotheses.
- Collaborate with experimental biologists and clinicians to integrate computational findings with biological context.
- Manage and maintain research databases and computational infrastructure.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Write and publish research findings in peer-reviewed journals and present at scientific conferences.
- Develop and present clear, concise reports and visualizations of complex data to diverse audiences.
- Mentor junior researchers and contribute to the scientific direction of research projects.
- Contribute to grant writing and secure research funding.
- Ensure data integrity, reproducibility, and compliance with relevant regulations.
- Participate actively in remote team meetings, discussions, and strategic planning.
Qualifications:
- 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 large-scale biological datasets (e.g., next-generation sequencing).
- Proficiency in programming languages such as Python, R, and/or Perl.
- Strong knowledge of statistical modeling, machine learning, and data mining techniques.
- Experience with bioinformatics databases, tools, and pipelines (e.g., BLAST, GATK, STAR).
- Demonstrated ability to develop novel algorithms and analytical approaches.
- Excellent scientific writing and oral communication skills.
- Proven track record of peer-reviewed publications and conference presentations.
- Experience working effectively in a remote research environment and collaborating with distributed teams.
- Strong problem-solving skills and a creative approach to research challenges.
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
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