Bioinformatics jobs in the US present a dynamic field merging biology and computer science, with opportunities for research scientists, data analysts, and software developers specializing in genomic data. These roles involve analyzing complex biological datasets, developing computational tools, and contributing to advancements in medical and pharmaceutical research. This field is integral to personalized medicine, 8,617 Bioinformatics jobs in the United States
Research Scientist - Bioinformatics
98101 Seattle, Washington
$110000 Annually
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Posted 6 days ago
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Job Description
Our client, a cutting-edge scientific research and development firm, is seeking a talented Research Scientist specializing in Bioinformatics. This hybrid role, based in Seattle, Washington, US , offers a unique opportunity to contribute to groundbreaking research in a collaborative and innovative environment. The successful candidate will be responsible for analyzing large-scale biological datasets, developing novel computational methods, and contributing to the interpretation of genomic and proteomic information. You will play a key role in designing and executing bioinformatics analyses that support research objectives, including drug discovery, personalized medicine, and disease understanding. The ideal candidate will possess a strong foundation in molecular biology, statistics, and computer science, with extensive experience in programming languages such as Python or R, and a proven ability to work with genomic data (e.g., NGS data). This position requires excellent analytical and critical thinking skills, as well as the ability to communicate complex findings effectively to both technical and non-technical audiences. You will work closely with bench scientists and other researchers, contributing to manuscript preparation and grant proposals. This hybrid role requires some on-site presence for team collaboration and access to specialized equipment, balanced with remote work flexibility.
Responsibilities:
Qualifications:
Responsibilities:
- Analyze large-scale biological datasets, including genomic, transcriptomic, and proteomic data.
- Develop and implement computational and statistical methods for biological research.
- Design and execute bioinformatics pipelines for data processing and analysis.
- Interpret research findings and contribute to scientific publications.
- Collaborate with cross-functional research teams to define analytical strategies.
- Contribute to the development of new research projects and grant proposals.
- Stay current with advancements in bioinformatics and relevant scientific fields.
- Maintain detailed records of experiments and analyses.
- Present research findings at scientific meetings and conferences.
- Ensure data integrity and quality control throughout the research process.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
- 3+ years of postdoctoral or industry experience in bioinformatics research.
- Proficiency in programming languages such as Python, R, or Perl.
- Experience with standard bioinformatics tools and databases.
- Strong understanding of statistical methods and machine learning techniques.
- Experience analyzing next-generation sequencing (NGS) data.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for scientific reporting.
- Ability to work effectively in a hybrid research environment.
- Experience with cloud computing platforms (e.g., AWS, GCP) is a plus.
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0
Bioinformatics Research Scientist
33601 Tampa, Florida
$95000 Annually
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Posted 7 days ago
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Job Description
Our client, a pioneering organization in scientific discovery, is seeking a highly skilled Bioinformatics Research Scientist to join their dynamic team in Tampa, Florida, US . This role is pivotal in analyzing complex biological datasets to drive innovative research in genomics, proteomics, and molecular biology. You will be responsible for developing and implementing computational pipelines, performing statistical analyses, and visualizing large-scale omics data. The ideal candidate will possess a Ph.D. or Master's degree in Bioinformatics, Computer Science, Statistics, or a related quantitative field, coupled with significant experience in analyzing next-generation sequencing data. Proven expertise in scripting languages such as Python or R, and familiarity with biological databases and software (e.g., BLAST, GATK, Bioconductor) are essential. You will collaborate closely with experimental biologists, clinicians, and other research scientists, contributing to high-impact publications and grant proposals. This position demands strong analytical skills, a meticulous approach to data integrity, and the ability to translate complex biological questions into computational strategies. Responsibilities include designing experiments, managing computational resources, and presenting findings to diverse audiences. Our client fosters a collaborative research environment, encouraging innovation and scientific rigor. This is an exceptional opportunity to contribute to groundbreaking research that has the potential to revolutionize healthcare and scientific understanding. We are looking for an individual who is passionate about leveraging computational approaches to solve complex biological problems and eager to make a tangible impact in the field of life sciences.
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1
Research Scientist - Bioinformatics
23451 Virginia Beach, Virginia
$130000 Annually
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Posted 7 days ago
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Job Description
Our client, a cutting-edge biotechnology research firm, is seeking a highly skilled and innovative Research Scientist specializing in Bioinformatics to join their state-of-the-art laboratory facilities. This role is crucial for advancing our understanding of complex biological systems through advanced computational analysis. The position requires a dedicated individual who thrives in a collaborative, hands-on research environment located in Virginia Beach, Virginia, US .
Responsibilities:
Qualifications:
This is an exciting opportunity to contribute to groundbreaking research and make a significant impact in the field of biotechnology. Our client offers a stimulating work environment, competitive compensation, and opportunities for professional growth and development.
Responsibilities:
- Design and conduct computational analyses of large-scale biological datasets, including genomics, transcriptomics, and proteomics data.
- Develop and implement novel algorithms and computational methods for biological data analysis and interpretation.
- Collaborate closely with experimental biologists and clinicians to define research questions and design appropriate analytical strategies.
- Interpret complex biological data and translate findings into actionable insights for drug discovery and therapeutic development.
- Manage and maintain bioinformatics databases and pipelines, ensuring data integrity and accessibility.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences.
- Contribute to grant writing and the acquisition of research funding.
- Mentor junior researchers and provide technical guidance on bioinformatics tools and techniques.
- Ensure compliance with all laboratory safety and regulatory guidelines.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related field.
- Proven experience in analyzing large-scale biological datasets using a variety of computational tools and programming languages (e.g., Python, R, Perl).
- Strong understanding of molecular biology, genetics, and genomics.
- Experience with next-generation sequencing (NGS) data analysis pipelines.
- Proficiency in statistical analysis and machine learning techniques.
- Excellent problem-solving and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex computational concepts to non-experts.
- Demonstrated ability to work independently and as part of a multidisciplinary research team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- A strong publication record in reputable scientific journals.
This is an exciting opportunity to contribute to groundbreaking research and make a significant impact in the field of biotechnology. Our client offers a stimulating work environment, competitive compensation, and opportunities for professional growth and development.
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2
Senior Research Scientist - Bioinformatics
78750 Austin, Texas
$160000 Annually
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Posted today
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Job Description
Our client, a pioneering force in cutting-edge scientific research, is seeking a highly accomplished Senior Research Scientist specializing in Bioinformatics to join their dynamic, fully remote team. This is an exceptional opportunity to contribute to groundbreaking discoveries and drive innovation in complex biological data analysis. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, or a related field, coupled with extensive experience in analyzing large-scale genomic, proteomic, or transcriptomic datasets. You will be responsible for developing and implementing advanced computational methods and algorithms to interpret biological data, identify novel targets, and advance our understanding of disease mechanisms and therapeutic interventions. This role demands strong programming skills (e.g., Python, R, Perl), proficiency with bioinformatics databases and tools, and a deep understanding of statistical modeling and machine learning techniques. You will collaborate closely with bench scientists, clinicians, and other researchers, translating complex data into actionable scientific insights. The ability to work independently, manage research projects, and communicate scientific findings effectively in a remote setting is crucial. Responsibilities include:
Location: Austin, Texas, US
- Designing and executing computational analyses of large biological datasets (genomics, transcriptomics, proteomics, etc.).
- Developing, implementing, and validating novel bioinformatics pipelines and algorithms.
- Applying statistical modeling and machine learning techniques to biological data.
- Interpreting research findings and generating actionable scientific insights.
- Collaborating with experimental scientists to design studies and analyze results.
- Communicating research progress and findings to internal teams and external collaborators.
- Staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Contributing to grant writing and manuscript preparation for scientific publications.
- Managing bioinformatics projects and mentoring junior researchers.
- Ensuring data integrity, reproducibility, and adherence to best practices.
- Developing and maintaining bioinformatics databases and software tools.
- Evaluating and integrating new technologies and methodologies into research workflows.
- Presenting research at scientific conferences and meetings.
- Troubleshooting computational issues and optimizing analytical processes.
- Playing a key role in strategic research planning and direction.
Location: Austin, Texas, US
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3
Senior Research Scientist - Bioinformatics
02115 Boston, Massachusetts
$135000 Annually
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Posted today
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Job Description
Our client, a cutting-edge biotechnology company at the forefront of genomic research, is seeking a highly skilled Senior Research Scientist specializing in Bioinformatics. This is a fully remote position, offering the flexibility to contribute to groundbreaking scientific discoveries from anywhere in the US. The successful candidate will lead the development and application of advanced computational methods to analyze complex biological datasets, driving insights for novel therapeutic development. This role requires a deep understanding of genomics, statistics, machine learning, and extensive experience with large-scale biological data analysis.
Key Responsibilities:
Qualifications:
This is a fully remote position, offering the chance to work with a world-class team and make significant contributions to scientific advancement from the comfort of your home office. We offer a highly competitive salary, comprehensive benefits, and a stimulating research environment.
Key Responsibilities:
- Lead the design and execution of computational analyses for large-scale genomic, transcriptomic, and proteomic datasets.
- Develop and implement novel bioinformatics pipelines and algorithms to address complex biological questions.
- Apply statistical modeling and machine learning techniques to identify patterns, biomarkers, and therapeutic targets.
- Collaborate closely with biologists, clinicians, and other research scientists to interpret data and drive research hypotheses.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
- Mentor junior bioinformaticians and contribute to the scientific growth of the team.
- Prepare high-quality scientific manuscripts for publication in peer-reviewed journals and present findings at scientific conferences.
- Contribute to grant writing and research proposal development.
- Ensure robust data management practices and reproducibility of analyses.
- Evaluate and integrate new computational tools and technologies into the research workflow.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field with a strong focus on biological data analysis.
- Minimum of 5-7 years of post-doctoral or industry experience in bioinformatics research.
- Proven expertise in analyzing large-scale genomic and other omics datasets (e.g., RNA-Seq, ChIP-Seq, WGS/WES).
- Strong programming skills in languages such as Python, R, and/or Perl.
- Experience with bioinformatics tools, databases, and public repositories (e.g., NCBI, Ensembl).
- Proficiency in statistical analysis and machine learning techniques relevant to biological data.
- Familiarity with high-performance computing (HPC) environments and cloud computing platforms (e.g., AWS, GCP).
- Excellent scientific writing and presentation skills.
- Ability to work independently and collaboratively in a fast-paced, remote research environment.
- Demonstrated ability to lead research projects and mentor junior scientists.
This is a fully remote position, offering the chance to work with a world-class team and make significant contributions to scientific advancement from the comfort of your home office. We offer a highly competitive salary, comprehensive benefits, and a stimulating research environment.
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4
Lead Research Scientist - Bioinformatics
76102 Fort Worth, Texas
$130000 Annually
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Posted today
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Job Description
Our client, a cutting-edge biotechnology firm in Fort Worth, Texas, US , is actively searching for a Lead Research Scientist specializing in Bioinformatics to spearhead groundbreaking research initiatives. This is a critical on-site role focused on leveraging large-scale biological datasets to drive innovation in drug discovery and development. The Lead Research Scientist will design and execute bioinformatics analyses, develop novel computational methods, and manage a team of bioinformaticians. Responsibilities include analyzing genomic, proteomic, and transcriptomic data, building predictive models, and contributing to the interpretation of experimental results. You will be expected to stay abreast of the latest advancements in bioinformatics and genomics, translate complex biological questions into computational approaches, and collaborate closely with molecular biologists, chemists, and clinicians. The ideal candidate possesses exceptional leadership qualities, strong analytical and problem-solving skills, and a proven ability to manage projects from inception to completion. Proficiency in programming languages such as Python, R, and Perl, along with experience in database management and cloud computing platforms (e.g., AWS, GCP), is essential. A Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a closely related field, combined with a minimum of 7 years of post-doctoral research experience, is required. Prior experience managing research teams and leading bioinformatics projects within the pharmaceutical or biotech industry is highly preferred. This is a unique opportunity to make a significant impact on human health through pioneering scientific research.
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5
Lead Research Scientist - Bioinformatics
89101 Sunrise Manor, Nevada
$160000 Annually
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Posted today
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Job Description
Our client is seeking an innovative and experienced Lead Research Scientist specializing in Bioinformatics to spearhead critical research initiatives in a fully remote capacity. This is an exciting opportunity to contribute to cutting-edge scientific advancements from the comfort of your home office. You will lead a team of bioinformatics specialists in the design, development, and implementation of computational strategies and algorithms to analyze large-scale biological datasets, such as genomics, proteomics, and transcriptomics. Your expertise will be crucial in extracting meaningful insights that drive research discoveries and therapeutic development. Key responsibilities include developing and validating bioinformatics pipelines, managing and curating complex biological databases, and collaborating closely with experimental biologists and other research teams to interpret findings. You will be responsible for staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields, and applying this knowledge to novel research questions. The ideal candidate will possess a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a strong publication record demonstrating significant contributions to the field. Proven experience in leading research projects and mentoring junior scientists is essential. Proficiency in programming languages such as Python or R, along with extensive experience with relevant bioinformatics tools and databases, is required. Excellent communication and presentation skills are necessary to effectively convey complex scientific information to diverse audiences, both within the research team and to external collaborators. This role is entirely remote, demanding exceptional self-motivation, strong organizational abilities, and a proven capacity for independent work and virtual team collaboration. If you are a visionary scientist passionate about leveraging computational approaches to unlock biological mysteries and drive scientific innovation from a remote setting, we encourage you to apply. Our client is at the forefront of scientific research, and this role is integral to their groundbreaking work.
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6
Lead Research Scientist - Bioinformatics
98101 Seattle, Washington
$135000 Annually
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Posted 1 day ago
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Job Description
Our client, a cutting-edge biomedical research institution in Seattle, Washington, US , is seeking a highly accomplished Lead Research Scientist specializing in Bioinformatics. This position offers a unique opportunity to drive innovative research projects at the forefront of biological discovery, utilizing advanced computational approaches. You will lead a team of bioinformaticians and computational biologists, developing and implementing sophisticated pipelines for the analysis of large-scale genomic, transcriptomic, and proteomic datasets. The Lead Research Scientist will be responsible for designing research strategies, interpreting complex biological data, and translating findings into actionable insights for drug discovery and therapeutic development. Key duties include managing research projects, mentoring junior scientists, authoring high-impact publications, and presenting research findings at international conferences. You will collaborate closely with experimental biologists, clinicians, and other stakeholders to integrate diverse data types and address critical scientific questions. A deep understanding of statistical methods, machine learning algorithms, and programming languages such as Python and R is essential. Experience with cloud computing platforms (AWS, Azure, GCP) and high-performance computing (HPC) environments is highly desirable. The ideal candidate will have a proven track record of independent research, a strong publication record, and experience in leading research teams. This role may involve a hybrid work arrangement, allowing for flexibility while ensuring crucial in-person collaboration and access to on-site resources.
Responsibilities:
Responsibilities:
- Lead and manage bioinformatics research projects from conception to completion.
- Develop and implement advanced computational pipelines for omics data analysis (genomics, transcriptomics, proteomics).
- Analyze and interpret large, complex biological datasets to identify novel biological insights.
- Collaborate with experimental biologists and clinicians to integrate multi-omics data.
- Mentor and guide junior bioinformaticians and research staff.
- Author high-impact scientific publications and present findings at conferences.
- Contribute to grant writing and secure external funding for research initiatives.
- Oversee the development and maintenance of bioinformatics databases and tools.
- Ensure the quality, reproducibility, and integrity of computational analyses.
- Evaluate and adopt new computational tools and methodologies.
- Stay abreast of the latest advancements in bioinformatics and related fields.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in bioinformatics or computational biology.
- Proven experience in leading research projects and managing scientific teams.
- Expertise in analyzing large-scale omics data using statistical and machine learning methods.
- Proficiency in programming languages such as Python, R, and Perl.
- Experience with bioinformatics databases, tools, and software packages.
- Familiarity with high-performance computing (HPC) environments and cloud platforms (AWS, Azure).
- Strong publication record in peer-reviewed journals.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work effectively in a collaborative, research-intensive environment.
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7
Principal Research Scientist, Bioinformatics
37201 Nashville, Tennessee
$160000 Annually
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Posted 2 days ago
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Job Description
Our client, a forward-thinking organization at the cutting edge of Scientific Research & Development, is seeking an exceptional Principal Research Scientist specializing in Bioinformatics to join their esteemed team in Nashville, Tennessee, US . This role operates on a hybrid model, offering a dynamic balance between on-site collaboration and remote flexibility. As a Principal Scientist, you will be instrumental in driving novel research initiatives, analyzing complex biological datasets, and developing innovative computational approaches to solve critical scientific challenges. Your responsibilities will include designing and executing bioinformatics pipelines, managing large-scale genomic and proteomic data, and collaborating with experimental biologists and clinicians to interpret findings. The ideal candidate will possess a deep understanding of statistical methods, machine learning, and programming languages commonly used in bioinformatics (e.g., Python, R, Perl). A strong publication record in peer-reviewed journals and experience with advanced bioinformatics tools and databases are essential. You will lead research projects, mentor junior scientists, and contribute to grant writing and funding applications. This is a unique opportunity to work in a stimulating research environment, contribute to groundbreaking discoveries, and advance scientific knowledge. Our client fosters a culture of innovation, collaboration, and intellectual curiosity. You will have the opportunity to shape research directions and make a significant impact on future scientific endeavors. Expertise in areas such as single-cell analysis, epigenomics, or structural bioinformatics is highly valued. Your role will involve not only conducting research but also communicating complex scientific results to diverse audiences, including scientific peers, stakeholders, and potentially regulatory bodies. The ability to critically evaluate scientific literature and propose novel research hypotheses is crucial.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead independent research projects in bioinformatics, from conception to completion.
- Develop and implement advanced computational and statistical methods for analyzing complex biological data (genomics, transcriptomics, proteomics, etc.).
- Design and maintain robust bioinformatics pipelines and workflows.
- Collaborate closely with experimental biologists, clinicians, and other researchers to interpret data and generate biological insights.
- Manage and curate large-scale datasets, ensuring data integrity and accessibility.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Publish research findings in high-impact peer-reviewed journals.
- Mentor and guide junior researchers and postdoctoral fellows.
- Contribute to grant proposals and secure external funding.
- Present research findings at national and international conferences.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in bioinformatics or a closely related discipline.
- Demonstrated track record of independent research and significant contributions to the field, evidenced by high-impact publications.
- Expert proficiency in programming languages such as Python, R, and Perl, and experience with scripting.
- Extensive experience with bioinformatics tools, databases, and analytical platforms (e.g., Galaxy, Nextflow, Bioconductor).
- Deep understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
- Experience with high-performance computing environments (HPC) and cloud computing platforms.
- Excellent communication, presentation, and interpersonal skills.
- Proven ability to lead research teams and mentor junior scientists.
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8
Senior Research Scientist, Bioinformatics
68104 Omaha, Nebraska
$150000 Annually
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Posted 2 days ago
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Job Description
Our client, a cutting-edge biotechnology company focused on harnessing the power of genomics to develop novel therapies, is seeking a talented and experienced Senior Research Scientist, Bioinformatics to join their innovative, fully remote team. This position offers a unique opportunity to contribute to groundbreaking research from the comfort of your home office. The successful candidate will be responsible for the development, implementation, and maintenance of computational tools and pipelines to analyze large-scale genomic and transcriptomic datasets. You will play a key role in identifying biomarkers, understanding disease mechanisms, and supporting drug discovery efforts through advanced bioinformatic analyses. Responsibilities include designing and executing bioinformatics analyses, developing novel algorithms, managing and integrating diverse biological data sources, and collaborating closely with experimental biologists, geneticists, and computational biologists. A deep understanding of statistical genetics, machine learning, and data visualization techniques is essential. The ideal candidate will possess strong programming skills (e.g., Python, R), experience with high-performance computing environments, and a proven ability to translate complex biological questions into actionable computational solutions. This role is crucial for advancing our client's research objectives and requires a proactive, detail-oriented scientist who thrives in a remote, collaborative setting. You will contribute significantly to publications, presentations, and the overall scientific strategy of the organization. We are looking for individuals who are passionate about using bioinformatics to drive biological discovery and improve human health. This remote position allows for a flexible work schedule while maintaining high levels of productivity and scientific rigor. The opportunity to work on impactful projects with a dedicated and talented team is immense.
Qualifications:
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- 5+ years of experience in bioinformatics analysis of genomic and transcriptomic data.
- Proficiency in programming languages such as Python or R.
- Experience with large-scale data analysis and high-performance computing environments.
- Strong knowledge of statistical methods, machine learning, and data visualization.
- Familiarity with relevant biological databases and public resources.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with experience working in a remote team environment.
- Publications in reputable journals demonstrating research accomplishments.
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