3 Lead Bioinformatician Genomics Research jobs in whatjobs
Lead Bioinformatician - Genomics Research
Posted 10 days ago
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Job Description
Our client, a pioneering bioscience research institution, is seeking a highly skilled and motivated Lead Bioinformatician to spearhead innovative projects within our remote-first R&D division. This pivotal role will involve the development and application of advanced computational approaches to analyze large-scale genomic and transcriptomic datasets, driving discoveries in areas critical to human health and disease. You will lead a dedicated team, foster collaboration, and ensure the integrity and efficiency of our bioinformatics pipelines. As a fully remote position, you will leverage state-of-the-art collaboration tools and have the flexibility to work from anywhere, contributing to groundbreaking scientific advancements. The ideal candidate will have a robust background in genomics, bioinformatics, statistical genetics, and a proven ability to manage complex research projects. Experience with cloud-based bioinformatics platforms and high-performance computing environments is essential. This role offers an exceptional opportunity to make a significant impact in the field of scientific research and development.
Responsibilities:
Qualifications:
Responsibilities:
- Lead and manage bioinformatics projects, from experimental design to data analysis and interpretation.
- Develop, optimize, and maintain robust bioinformatics pipelines for genomic and transcriptomic data analysis.
- Analyze large-scale sequencing data (e.g., WGS, WES, RNA-Seq) to identify genetic variations, gene expression patterns, and regulatory mechanisms.
- Apply statistical and machine learning methods to extract meaningful biological insights.
- Collaborate closely with wet-lab scientists, clinicians, and other researchers to support ongoing studies.
- Supervise and mentor junior bioinformaticians and research assistants.
- Ensure data quality, reproducibility, and proper documentation of all analyses.
- Present findings at scientific meetings and contribute to publications in peer-reviewed journals.
- Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
Qualifications:
- Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Genomics, Statistics, or a related field.
- 5+ years of hands-on experience in bioinformatics analysis, with a focus on genomics.
- Demonstrated expertise in next-generation sequencing (NGS) data analysis.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and relevant libraries (e.g., Bioconductor, SciPy, NumPy).
- Experience with bioinformatics software and databases (e.g., Ensembl, UCSC Genome Browser, GATK).
- Familiarity with high-performance computing (HPC) environments and cloud computing platforms (e.g., AWS, GCP).
- Strong understanding of statistical genetics and population genetics principles.
- Excellent problem-solving skills and ability to work independently.
- Effective communication and collaboration skills, especially in a remote setting.
- Experience leading research teams is highly desirable.
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Lead Bioinformatician, Genomics Research
Posted 11 days ago
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Job Description
Our client, a forward-thinking research institution, is looking for a talented and experienced Lead Bioinformatician to spearhead our genomics research initiatives. This is a fully remote position, offering the opportunity to work on cutting-edge projects from anywhere. As the Lead Bioinformatician, you will be responsible for the design, development, and implementation of computational pipelines for the analysis of large-scale genomic and transcriptomic datasets. You will play a crucial role in interpreting complex biological data to uncover insights into disease mechanisms, drug targets, and population genetics. Your expertise will guide the research direction, ensuring the robust analysis and insightful interpretation of genomic data generated from various high-throughput sequencing platforms. This role requires a deep understanding of bioinformatics algorithms, statistical genetics, and machine learning techniques applied to biological data. You will manage and mentor a team of bioinformaticians, fostering a collaborative and productive remote research environment. Key responsibilities include developing custom scripts and software tools, optimizing existing bioinformatics workflows, and ensuring the quality and reproducibility of computational analyses. You will also collaborate closely with experimental biologists, clinicians, and statisticians to translate research questions into computational strategies and to effectively communicate findings. The ability to visualize and present complex genomic data in an understandable format is essential. We are seeking a proactive individual who can lead the technical direction of our bioinformatics efforts and contribute to high-impact scientific publications and grant proposals. This role is crucial for advancing our understanding of biological systems and driving discovery. While the work is entirely remote, your contributions will be central to the research activities associated with our **Kakamega, Kakamega, KE** research hub. If you possess a strong computational background, a passion for genomics, and the leadership skills to thrive in a remote setting, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Lead the development and implementation of bioinformatics pipelines for genomic data analysis.
- Analyze large-scale genomic and transcriptomic datasets.
- Develop and optimize computational workflows for next-generation sequencing (NGS) data.
- Apply statistical and machine learning methods to biological data.
- Mentor and manage a team of bioinformaticians.
- Collaborate with researchers to define analytical strategies and interpret results.
- Develop custom scripts and software tools.
- Ensure data quality, integrity, and reproducibility.
- Contribute to scientific publications and grant applications.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in bioinformatics, with a focus on genomics.
- Proficiency in programming languages such as Python, R, and Bash.
- Strong experience with bioinformatics tools and databases (e.g., GATK, Samtools, Ensembl).
- Expertise in analyzing NGS data (e.g., WGS, WES, RNA-Seq).
- Demonstrated experience with statistical analysis and machine learning.
- Excellent leadership, communication, and problem-solving skills.
- Proven ability to work effectively in a remote, collaborative research environment.
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Lead Bioinformatician - Genomics Research
Posted 27 days ago
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Job Description
Our client is seeking a brilliant and innovative Lead Bioinformatician to spearhead critical research initiatives within their cutting-edge scientific R&D department. This is a fully remote, challenging, and rewarding opportunity for a seasoned professional passionate about leveraging computational approaches to unlock the mysteries of genomic data. You will play a pivotal role in designing, developing, and implementing advanced bioinformatics pipelines and analytical methods that drive scientific discovery.
Responsibilities:
Responsibilities:
- Lead the development and implementation of robust bioinformatics pipelines for the analysis of large-scale genomic and transcriptomic data.
- Design and execute complex computational analyses to identify novel genetic variations, gene expression patterns, and functional pathways.
- Collaborate closely with experimental biologists, geneticists, and other researchers to define research questions and translate them into computational strategies.
- Develop and maintain scalable computational infrastructure and workflows for data processing and analysis.
- Evaluate and integrate new algorithms, software, and technologies to enhance analytical capabilities.
- Supervise and mentor junior bioinformaticians and research scientists.
- Contribute to the interpretation of research findings and the preparation of manuscripts for publication in high-impact journals.
- Present research findings at scientific conferences and internal meetings.
- Ensure data integrity, reproducibility, and compliance with data security protocols.
- Foster a collaborative and innovative research environment within a remote setting.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in bioinformatics, with a significant focus on genomics and transcriptomics.
- Demonstrated expertise in programming languages such as Python, R, and/or Perl, and experience with shell scripting.
- Proficiency in utilizing high-performance computing (HPC) clusters and cloud computing environments.
- Extensive experience with common bioinformatics tools and databases (e.g., BLAST, UCSC Genome Browser, ENSEMBL, TCGA).
- Strong understanding of statistical methods and machine learning techniques applicable to biological data.
- Proven ability to design, develop, and validate complex bioinformatics pipelines.
- Excellent problem-solving skills and the ability to troubleshoot complex computational issues.
- Exceptional communication and collaboration skills, with the ability to explain technical concepts to non-experts.
- Experience in leading research projects and mentoring team members.
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