17 Lead Bioinformatics Scientist Remote jobs in whatjobs
Lead Bioinformatics Scientist - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client, a cutting-edge scientific research institution, is seeking a highly skilled and experienced Lead Bioinformatics Scientist to join their innovative, fully remote R&D team. This pivotal role will focus on analyzing large-scale biological datasets, developing novel computational approaches, and driving key research projects. The ideal candidate will have a strong background in genomics, transcriptomics, proteomics, or other omics data analysis, coupled with extensive programming experience. You will be responsible for leading bioinformatics efforts, mentoring junior scientists, and collaborating with biologists, chemists, and clinicians to interpret complex biological data and translate findings into actionable insights. This position requires a proven ability to manage projects, design analytical pipelines, and contribute to high-impact scientific publications. As a remote-first role, you must possess excellent self-management skills, strong communication abilities, and a proactive attitude to thrive in a distributed team environment. The company is dedicated to fostering a collaborative and intellectually stimulating atmosphere, offering opportunities for professional development and the chance to work on challenging and rewarding research problems. Your expertise will be instrumental in advancing our understanding of biological systems and developing new therapeutic strategies.
Responsibilities:
Responsibilities:
- Lead the development and implementation of bioinformatics pipelines for analyzing diverse biological datasets (e.g., next-generation sequencing, mass spectrometry).
- Design and execute computational experiments to identify biological patterns, biomarkers, and therapeutic targets.
- Collaborate closely with experimental scientists to interpret results and plan future experiments.
- Develop and maintain robust, reproducible analytical workflows.
- Mentor and guide junior bioinformaticians and research staff.
- Present findings at internal meetings and external scientific conferences.
- Contribute to grant proposals and scientific publications.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of relevant experience in bioinformatics or computational biology research.
- Demonstrated expertise in analyzing large-scale omics data.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Strong experience with bioinformatics tools, databases, and algorithms.
- Experience with high-performance computing environments (e.g., HPC clusters, cloud computing).
- Excellent communication, collaboration, and leadership skills.
- Proven ability to work effectively in a remote, collaborative team setting.
This advertiser has chosen not to accept applicants from your region.
0
Lead Bioinformatics Scientist - Remote
Posted 22 days ago
Job Viewed
Job Description
Our client, a pioneering force in life sciences, is seeking an exceptional Lead Bioinformatics Scientist to spearhead innovative research initiatives within their fully remote R&D division. This role requires a deeply knowledgeable and experienced individual to lead projects, mentor junior scientists, and drive the development of cutting-edge computational tools and methodologies for analyzing complex biological data. The successful candidate will be a key contributor to groundbreaking discoveries.
Responsibilities:
Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale genomics, transcriptomics, and proteomics datasets.
- Develop and implement novel algorithms and computational approaches for biological data analysis.
- Manage and mentor a team of bioinformatics scientists, fostering a collaborative and innovative research environment.
- Collaborate closely with experimental biologists, geneticists, and clinicians to address critical research questions.
- Contribute to the development and maintenance of bioinformatics pipelines and databases.
- Evaluate and integrate new technologies and software tools to enhance analytical capabilities.
- Interpret complex results and effectively communicate findings to both technical and non-technical audiences through presentations and publications.
- Ensure the reproducibility and rigor of bioinformatics analyses.
- Contribute to grant writing and secure research funding.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Manage project timelines and resources effectively in a remote setting.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 10+ years of post-doctoral research or industry experience in bioinformatics, with a strong publication record.
- Proven experience in leading research projects and mentoring scientific teams.
- Expertise in analyzing high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, C++).
- Extensive experience with relevant bioinformatics tools, databases, and statistical methods.
- Strong understanding of molecular biology and genetics.
- Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments.
- Excellent problem-solving and critical-thinking skills.
- Superb communication and interpersonal skills, with the ability to foster collaboration remotely.
- Demonstrated ability to work independently and manage complex projects in a distributed team.
This advertiser has chosen not to accept applicants from your region.
1
Lead Bioinformatics Scientist - Remote
Posted 22 days ago
Job Viewed
Job Description
Our client is seeking a visionary Lead Bioinformatics Scientist to spearhead innovative research initiatives within their cutting-edge R&D department. This is a fully remote position, offering the opportunity to work from anywhere while contributing to groundbreaking scientific discoveries. You will be responsible for designing, developing, and implementing advanced computational methods and algorithms to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. The ideal candidate possesses a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, coupled with extensive experience in analyzing high-throughput sequencing data. You will lead a team of talented bioinformaticians, providing mentorship and technical guidance, and fostering a collaborative research environment. Responsibilities include managing research projects, from conception to execution, and ensuring the timely delivery of high-quality results. You will also play a key role in interpreting complex biological data and translating findings into actionable insights for drug discovery and development. A strong understanding of statistical modeling, machine learning, and programming languages such as Python and R is essential. The ability to visualize complex data effectively and communicate technical findings to both scientific and non-scientific audiences is critical.
Key Responsibilities:
This role is perfect for an experienced scientist who thrives in a remote setting and is passionate about leveraging computational power to unravel biological mysteries. The successful candidate will have a proven ability to work independently, manage multiple projects simultaneously, and contribute to a high-performing research team. Experience with cloud computing platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker) is a significant advantage. Join our client's innovative team and make a tangible impact on the future of scientific research, contributing to discoveries that originate in the vicinity of **Kisumu, Kisumu, KE**, while working remotely.
Key Responsibilities:
- Lead the design and execution of bioinformatics research projects.
- Develop and optimize computational pipelines for the analysis of biological data.
- Supervise and mentor a team of bioinformatics researchers.
- Collaborate with biologists, geneticists, and other scientists to define research questions.
- Interpret and present complex genomic and proteomic data.
- Implement machine learning and statistical models for biological data analysis.
- Contribute to grant writing and manuscript preparation.
- Stay abreast of the latest advancements in bioinformatics and computational biology.
- Ensure data integrity, reproducibility, and compliance with relevant regulations.
- Communicate research findings through presentations and publications.
This role is perfect for an experienced scientist who thrives in a remote setting and is passionate about leveraging computational power to unravel biological mysteries. The successful candidate will have a proven ability to work independently, manage multiple projects simultaneously, and contribute to a high-performing research team. Experience with cloud computing platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker) is a significant advantage. Join our client's innovative team and make a tangible impact on the future of scientific research, contributing to discoveries that originate in the vicinity of **Kisumu, Kisumu, KE**, while working remotely.
This advertiser has chosen not to accept applicants from your region.
2
Lead Bioinformatics Scientist - Remote
Posted 16 days ago
Job Viewed
Job Description
Our client is seeking an accomplished and visionary Lead Bioinformatics Scientist to spearhead their remote research and development initiatives. This is a fully remote position, offering an exceptional opportunity to drive innovation in genomic data analysis and interpretation from anywhere in the world. You will be responsible for designing, developing, and implementing advanced computational and statistical methods to analyze large-scale biological datasets, including genomic, transcriptomic, and proteomic data. This role involves leading a team of bioinformatics specialists, guiding their research projects, and fostering a collaborative and productive remote work environment. Key responsibilities include developing novel algorithms and pipelines for data processing, feature extraction, and pattern recognition, as well as performing sophisticated statistical analyses to extract meaningful biological insights. You will play a critical role in drug discovery, biomarker identification, and personalized medicine research. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field, with a strong publication record demonstrating expertise in the relevant areas. Proven experience in leading research projects and managing scientific teams, preferably in a remote setting, is highly desirable. Expertise in programming languages such as Python and R, proficiency with bioinformatics databases and tools, and a solid understanding of machine learning techniques are essential. You will also be responsible for communicating research findings to both scientific and non-scientific stakeholders through presentations and publications. This position demands exceptional analytical thinking, problem-solving skills, and the ability to work independently while contributing to a larger, distributed team. If you are a passionate and experienced scientist eager to shape the future of biological research through cutting-edge bioinformatics, we invite you to apply for this exciting remote opportunity.
This advertiser has chosen not to accept applicants from your region.
3
Lead Bioinformatics Scientist (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client is a leading research organization dedicated to advancing human health through innovative scientific discovery. We are seeking an experienced and visionary Lead Bioinformatics Scientist to join our fully remote research team. This role is crucial for driving the analysis of complex biological datasets, including genomic, transcriptomic, and proteomic data, to uncover novel insights and support therapeutic development. You will lead a team of bioinformaticians, mentor junior scientists, and collaborate closely with molecular biologists, geneticists, and clinicians worldwide. The ideal candidate will possess a strong quantitative background, expertise in large-scale data analysis, and a passion for translating biological questions into computational solutions.
Key Responsibilities:
Key Responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale omics datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and implement novel computational methods and pipelines for biological data analysis.
- Manage and mentor a team of bioinformatics scientists, fostering a collaborative and high-performing research environment.
- Collaborate with cross-functional research teams to define research questions, experimental designs, and data analysis strategies.
- Interpret complex biological data and translate findings into actionable insights for drug discovery and development.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Develop and maintain robust data management and curation strategies for biological datasets.
- Present research findings at scientific conferences and publish results in peer-reviewed journals.
- Contribute to grant writing and funding proposals.
- Ensure the reproducibility and rigor of all computational analyses.
- Oversee the integration of diverse biological data types to generate comprehensive molecular profiles.
- Manage cloud computing resources and high-performance computing (HPC) environments for large-scale data processing.
- Develop visualization tools and dashboards to effectively communicate complex data insights.
- Evaluate and adopt new bioinformatics tools and technologies.
- Provide bioinformatics support and expertise to other research groups within the organization.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of post-doctoral research or industry experience in bioinformatics, with demonstrated leadership experience.
- Extensive experience in analyzing diverse omics data types (e.g., NGS, RNA-Seq, ChIP-Seq, mass spectrometry).
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
- Strong knowledge of statistical methods and machine learning algorithms applied to biological data.
- Experience with various bioinformatics databases and software tools (e.g., BLAST, GATK, Seurat, DESeq2).
- Familiarity with cloud platforms (AWS, GCP, Azure) and HPC environments.
- Excellent understanding of molecular biology, genetics, and genomics.
- Proven ability to manage projects, mentor staff, and collaborate effectively in a remote setting.
- Exceptional problem-solving and critical-thinking skills.
- Strong written and verbal communication skills, with the ability to present complex scientific information clearly.
- Track record of scientific publications and presentations.
This advertiser has chosen not to accept applicants from your region.
4
Lead Bioinformatics Scientist (Remote)
Posted 5 days ago
Job Viewed
Job Description
Our client is a pioneering organization at the forefront of scientific innovation, currently seeking a distinguished Lead Bioinformatics Scientist to join our fully remote research team. This role is crucial for advancing our cutting-edge research projects, requiring a deep understanding of biological data and advanced computational methodologies. You will be responsible for designing, developing, and implementing novel bioinformatics pipelines and algorithms to analyze large-scale genomic, transcriptomic, and proteomic datasets. Your expertise will guide the interpretation of complex biological information, contributing to groundbreaking discoveries in our target areas. This position demands a highly collaborative individual who can effectively communicate complex scientific findings to both technical and non-technical audiences, working seamlessly within a distributed team structure. You will also mentor junior scientists, foster a culture of scientific rigor, and stay abreast of the latest advancements in bioinformatics and related fields. We are looking for a visionary leader with a passion for unraveling biological mysteries and a proven ability to translate research hypotheses into actionable data-driven insights. Your work will directly impact the direction of our scientific endeavors, making significant contributions to the field from your home office. We encourage applications from candidates who thrive in a remote work environment and possess exceptional analytical and problem-solving skills. The ideal candidate will have a substantial publication record and experience in leading research initiatives. Join us in pushing the boundaries of scientific knowledge in **Embu, Embu, KE**.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and optimize bioinformatics pipelines for large-scale omics data analysis.
- Analyze and interpret genomic, transcriptomic, proteomic, and other biological data.
- Develop and apply statistical and machine learning methods to biological problems.
- Collaborate with biologists and other researchers to define research questions and experimental designs.
- Develop visualization tools to present complex biological data effectively.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and databases.
- Mentor and guide junior bioinformatics scientists and research staff.
- Contribute to grant proposals and manuscript preparation.
- Manage bioinformatics projects and ensure timely delivery of results.
- Ensure data integrity, reproducibility, and best practices in computational research.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 7 years of relevant research experience in bioinformatics.
- Demonstrated expertise in programming languages such as Python, R, or Perl.
- Strong experience with bioinformatics tools and databases (e.g., BLAST, UCSC Genome Browser, Ensembl).
- Proficiency in statistical analysis and machine learning techniques.
- Experience in managing and analyzing large datasets from next-generation sequencing.
- Excellent written and verbal communication skills.
- Proven ability to lead research projects and mentor junior staff.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Strong understanding of molecular biology and genetics.
This advertiser has chosen not to accept applicants from your region.
5
Lead Bioinformatics Scientist (Remote)
Posted 13 days ago
Job Viewed
Job Description
Our client, a pioneering force in scientific innovation, is looking for a highly accomplished Lead Bioinformatics Scientist to spearhead cutting-edge research from a fully remote setting. This role is integral to analyzing and interpreting complex biological data, including genomics, transcriptomics, and proteomics, to drive novel discoveries. You will lead a virtual team of bioinformaticians, develop sophisticated analytical pipelines, and contribute to high-impact research publications and projects. The ideal candidate possesses a strong background in computational biology, statistical analysis, and programming, coupled with excellent leadership and communication skills to effectively manage a remote team and collaborate with interdisciplinary scientists.
Key Responsibilities:
Key Responsibilities:
- Design and implement robust bioinformatics pipelines for large-scale omics data analysis (e.g., WGS, RNA-Seq, ChIP-Seq).
- Develop and apply advanced statistical methods and machine learning algorithms to biological datasets.
- Lead and mentor a team of bioinformaticians, fostering a collaborative and productive remote work environment.
- Collaborate closely with experimental biologists, geneticists, and clinicians to interpret research findings and guide experimental design.
- Develop and maintain bioinformatics tools and databases to support research initiatives.
- Present research findings at international conferences and publish in peer-reviewed journals.
- Contribute to grant writing and secure funding for bioinformatics-focused projects.
- Ensure the quality, reproducibility, and scalability of bioinformatics analyses.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 10 years of post-doctoral research experience in bioinformatics, with at least 3 years in a leadership or supervisory role.
- Extensive experience with programming languages such as Python, R, and Perl, and proficiency in relevant bioinformatics libraries.
- Hands-on experience with high-performance computing clusters and cloud computing platforms.
- Deep understanding of biological pathways, molecular biology, and genetics.
- Proven track record of leading successful bioinformatics projects and contributing to impactful publications.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and team leadership abilities, with experience managing remote teams.
- Demonstrated ability to work independently and drive research initiatives in a remote setting.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Lead bioinformatics scientist remote Jobs in Kenya !
6
Lead Bioinformatics Scientist (Remote)
Posted 11 days ago
Job Viewed
Job Description
Our client, a cutting-edge biotechnology firm focused on advancing genomic research, is looking for an exceptional Lead Bioinformatics Scientist to spearhead their data analysis initiatives. This is a fully remote position, offering the opportunity to work on groundbreaking scientific challenges from your home office. The successful candidate will lead the development and application of advanced computational and statistical methods to analyze large-scale genomic and molecular datasets. You will be responsible for designing and implementing bioinformatics pipelines, developing novel algorithms, and contributing to the interpretation of complex biological data to drive research discoveries. Key responsibilities include managing bioinformatics projects from inception to completion, collaborating closely with molecular biologists, geneticists, and other researchers to define research questions and experimental designs, and presenting findings to both scientific and management teams. You will also be tasked with staying at the forefront of bioinformatics research, evaluating and implementing new technologies and methodologies, and contributing to scientific publications and grant proposals. The ideal candidate will possess a deep understanding of genomics, transcriptomics, proteomics, and other omics technologies, coupled with extensive experience in programming languages such as Python, R, and Bash, and proficiency with bioinformatics databases and tools. This role demands exceptional analytical skills, a meticulous attention to detail, and the ability to translate complex scientific problems into computational solutions. Experience leading research projects and mentoring junior scientists is highly desirable. This is a pivotal role for someone passionate about leveraging computational power to unlock biological insights and accelerate scientific progress. While the role is remote, a background or familiarity with research environments similar to those in **Embu, Embu, KE** could provide beneficial context for understanding local research ecosystems and collaborations, though no specific geographic requirement applies to the performance of duties. This position offers a chance to significantly influence the direction of research and development in a dynamic, remote-first environment.
Responsibilities:
Responsibilities:
- Lead the design and execution of bioinformatics analysis projects.
- Develop and implement scalable bioinformatics pipelines and algorithms.
- Analyze large-scale genomic, transcriptomic, and proteomic datasets.
- Collaborate with cross-functional research teams to interpret biological data.
- Contribute to scientific publications, presentations, and grant proposals.
- Stay current with advancements in bioinformatics and computational biology.
- Mentor and guide junior bioinformaticians and research staff.
- Manage project timelines, resources, and deliverables.
- Evaluate and integrate new bioinformatics tools and technologies.
- Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related quantitative field.
- 5+ years of experience in bioinformatics research and analysis.
- Proven expertise in programming languages (Python, R, Bash) and statistical analysis.
- Extensive experience with bioinformatics databases, tools, and software.
- Strong understanding of genomics, transcriptomics, and molecular biology.
- Demonstrated experience in leading research projects and teams.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills for remote collaboration.
This advertiser has chosen not to accept applicants from your region.
7
Lead Bioinformatics Scientist (Remote)
Posted 12 days ago
Job Viewed
Job Description
Our client is actively seeking a highly skilled and experienced Lead Bioinformatics Scientist to spearhead advanced research and development initiatives. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking scientific discoveries from your home office. You will be responsible for developing and implementing cutting-edge computational strategies to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics. The ideal candidate will possess a deep understanding of biological systems, sophisticated data analysis techniques, and extensive experience in bioinformatics software and pipelines.
As a Lead Bioinformatics Scientist, you will guide a team of bioinformaticians, mentor junior researchers, and collaborate closely with experimental biologists, clinicians, and data scientists to interpret complex biological data and drive research projects forward. Your expertise in algorithm development, statistical modeling, and machine learning applied to biological data will be crucial. You will be responsible for designing and managing computational infrastructure, ensuring data integrity, and developing reproducible research workflows. This role requires excellent problem-solving skills, a proactive approach to scientific challenges, and the ability to communicate complex findings clearly to both technical and non-technical audiences. A strong publication record and experience in managing research projects in a remote or distributed team environment are highly desirable. Join us to push the boundaries of scientific knowledge.
Key Responsibilities:
As a Lead Bioinformatics Scientist, you will guide a team of bioinformaticians, mentor junior researchers, and collaborate closely with experimental biologists, clinicians, and data scientists to interpret complex biological data and drive research projects forward. Your expertise in algorithm development, statistical modeling, and machine learning applied to biological data will be crucial. You will be responsible for designing and managing computational infrastructure, ensuring data integrity, and developing reproducible research workflows. This role requires excellent problem-solving skills, a proactive approach to scientific challenges, and the ability to communicate complex findings clearly to both technical and non-technical audiences. A strong publication record and experience in managing research projects in a remote or distributed team environment are highly desirable. Join us to push the boundaries of scientific knowledge.
Key Responsibilities:
- Lead the design and implementation of bioinformatics analysis pipelines for large-scale biological data.
- Develop and apply computational and statistical methods for genomics, transcriptomics, and proteomics data.
- Guide and mentor a team of bioinformatics researchers.
- Collaborate with experimental scientists to interpret results and design new experiments.
- Develop and maintain robust, reproducible bioinformatics workflows.
- Manage computational resources and ensure data security and integrity.
- Stay abreast of the latest advancements in bioinformatics and related fields.
- Contribute to scientific publications and presentations.
- Evaluate and integrate new bioinformatics tools and technologies.
- Participate in project planning and grant writing activities.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 8 years of progressive experience in bioinformatics research and analysis.
- Extensive experience with programming languages such as Python, R, and Perl.
- Proficiency in using bioinformatics tools and databases (e.g., BLAST, Ensembl, NCBI).
- Strong understanding of statistical methods and machine learning techniques for biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Proven leadership and team management skills.
- Excellent communication and presentation skills, capable of explaining complex scientific concepts.
- Demonstrated ability to work independently and collaboratively in a remote research environment.
This advertiser has chosen not to accept applicants from your region.
8
Lead Bioinformatics Scientist (Remote)
Posted 22 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Lead Bioinformatics Scientist to join their pioneering research and development team. This is a fully remote position, critical for advancing our understanding of complex biological systems through computational analysis. You will be responsible for developing and implementing cutting-edge bioinformatics pipelines, analyzing large-scale genomic and proteomic datasets, and contributing to the design and interpretation of experiments. The ideal candidate will possess a deep expertise in next-generation sequencing (NGS) data analysis, statistical genetics, and machine learning applications in biology. You will collaborate closely with biologists, geneticists, and other scientists to translate research questions into testable computational hypotheses and to interpret biological findings from data. This role requires a strong publication record, proven experience in managing research projects, and the ability to mentor junior scientists. Your work will directly contribute to key discoveries and the development of novel therapeutic strategies. A solid foundation in molecular biology, genetics, or a related field is essential, alongside advanced programming skills and experience with relevant bioinformatics tools and databases. This remote leadership position requires excellent communication and collaboration skills to effectively engage with a distributed research team.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement bioinformatics pipelines for the analysis of large-scale biological datasets (e.g., genomics, transcriptomics, proteomics).
- Perform complex data analysis, including variant calling, gene expression analysis, and pathway enrichment.
- Apply statistical methods and machine learning techniques to biological data to identify patterns and insights.
- Collaborate with experimental scientists to interpret results and guide future research directions.
- Develop and maintain computational tools and databases for data management and analysis.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Publish research findings in peer-reviewed journals and present at scientific conferences.
- Mentor and guide junior bioinformaticians and research staff.
- Contribute to grant writing and funding proposals.
- Ensure the reproducibility and robustness of computational analyses.
Qualifications:
- 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.
- Extensive experience with NGS data analysis and associated software tools (e.g., STAR, GATK, Samtools).
- Proficiency in programming languages such as Python, R, and Bash.
- Strong understanding of statistical genetics, genomics, and molecular biology.
- Experience with machine learning techniques applied to biological data.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to manage research projects and lead scientific discussions.
- Strong publication record and experience presenting scientific findings.
- Excellent communication and collaboration skills, essential for a remote work environment.
This advertiser has chosen not to accept applicants from your region.
9