1 015 Bioinformatician jobs in Bahrain
Lead Bioinformatician
Posted 3 days ago
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Senior Bioinformatician
Posted 3 days ago
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Senior Bioinformatician - Advanced Genomics
Posted today
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Key Responsibilities:
- Design, develop, and maintain robust bioinformatics pipelines for NGS data.
- Analyze and interpret large genomic and transcriptomic datasets.
- Apply statistical and machine learning methods to biological problems.
- Collaborate with research scientists to define analytical needs and interpret findings.
- Manage and process data on HPC clusters and cloud platforms.
- Develop custom scripts and tools to support research objectives.
- Contribute to research proposals, manuscripts, and presentations.
- Stay current with the latest advancements in bioinformatics and genomics.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in bioinformatics or computational biology.
- Expertise in programming languages such as Python, R, and/or Perl.
- Strong knowledge of statistical genetics and machine learning algorithms.
- Proven experience with NGS data analysis tools and platforms (e.g., GATK, STAR, DESeq2).
- Experience with Linux/Unix environments and shell scripting.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Senior Research Scientist - Computational Biology
Posted 3 days ago
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Senior Research Scientist - Bioinformatics & Computational Biology
Posted 1 day ago
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Responsibilities:
- Design and implement computational strategies for analyzing genomic, transcriptomic, proteomic, and other high-throughput biological data.
- Develop and maintain robust bioinformatics pipelines and workflows for data processing, quality control, and analysis.
- Apply statistical methods and machine learning algorithms to identify patterns, generate hypotheses, and interpret biological findings.
- Collaborate with experimental biologists, clinicians, and other researchers to define research questions and translate them into computational analyses.
- Develop novel algorithms and software tools to address specific research challenges.
- Curate, integrate, and manage large biological datasets from various sources.
- Visualize complex biological data to effectively communicate findings to both technical and non-technical audiences.
- Publish research results in peer-reviewed journals and present at scientific conferences.
- Mentor junior bioinformaticians and computational biologists, fostering a collaborative research environment.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in bioinformatics or computational biology research.
- Proven expertise in analyzing large-scale biological datasets (e.g., next-generation sequencing data).
- Proficiency in programming languages such as Python, R, and/or Perl.
- Experience with common bioinformatics tools and databases (e.g., BLAST, GATK, UCSC Genome Browser).
- Strong understanding of statistical modeling, machine learning, and data mining techniques.
- Familiarity with cloud computing platforms (e.g., AWS, GCP) and high-performance computing (HPC) environments is a plus.
- Excellent communication, collaboration, and problem-solving skills.
- Demonstrated ability to work independently and effectively in a fully remote research setting.
- Track record of publications in reputable scientific journals.
This position, though associated with **Nuwaidrat, Southern, BH**, is fully remote, enabling top-tier scientific contribution from any location.
Remote Senior Research Scientist - Computational Biology
Posted 1 day ago
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Responsibilities:
- Design and implement advanced computational analyses of large-scale biological datasets (genomics, transcriptomics, proteomics).
- Develop and apply novel algorithms, statistical methods, and machine learning models for biological research.
- Collaborate with experimental biologists and clinicians to interpret data and generate hypotheses.
- Build and maintain robust bioinformatics pipelines and workflows.
- Contribute to the identification of novel drug targets and biomarkers.
- Ensure the reproducibility and rigor of all computational research.
- Present research findings at internal meetings and external conferences.
- Publish results in high-impact scientific journals.
- Mentor junior researchers and contribute to a collaborative research environment.
- Stay abreast of the latest advancements in computational biology and bioinformatics.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- 5+ years of post-doctoral or industry research experience in computational biology.
- Proven expertise in analyzing omics data and applying statistical and machine learning techniques.
- Proficiency in programming languages such as Python, R, and relevant bioinformatics tools.
- Strong understanding of molecular biology and genetics.
- Experience with high-performance computing environments and cloud platforms.
- Excellent written and verbal communication skills, with a strong publication record.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- Experience in drug discovery or development is a significant advantage.
AI Research Scientist
Posted today
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The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong academic record and a passion for research. Expertise in programming languages such as Python, along with experience in AI frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. You should have a solid theoretical understanding of various AI concepts, including neural networks, natural language processing, computer vision, and reinforcement learning. The ability to work collaboratively in a research environment and communicate complex technical ideas clearly is also highly valued.
Responsibilities:
- Conduct research and development in artificial intelligence and machine learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Work with large datasets to train and validate AI systems.
- Develop proof-of-concept applications and prototypes.
- Stay up-to-date with the latest advancements in AI research.
- Collaborate with cross-functional teams to integrate AI solutions.
- Analyze and interpret research results.
- Contribute to technical publications and presentations.
- Explore new research directions and potential applications of AI.
- Troubleshoot and optimize AI models for performance and scalability.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven experience in AI research and development.
- Strong programming skills in Python.
- Proficiency with AI/ML frameworks (TensorFlow, PyTorch).
- Deep understanding of machine learning, deep learning, and statistical modeling.
- Experience with data analysis and manipulation.
- Excellent problem-solving and analytical abilities.
- Strong written and verbal communication skills.
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AI Research Scientist
Posted today
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Key Responsibilities:
- Conduct original research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or other AI domains.
- Develop, implement, and evaluate novel AI algorithms and machine learning models.
- Design and execute rigorous experiments to test hypotheses and validate models.
- Analyze large datasets to extract insights and inform model development.
- Collaborate with engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in leading conferences and journals.
- Present research results to both technical and non-technical audiences.
- Mentor junior researchers and interns.
- Contribute to the intellectual property portfolio through patent applications.
- Participate in team brainstorming sessions and contribute to the strategic direction of AI research.
- Work effectively in a hybrid environment, contributing to both in-person and remote collaboration efforts.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publication in reputable AI conferences or journals.
- Strong theoretical understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a research team.
- Experience in areas like NLP, Computer Vision, or Reinforcement Learning is a significant plus.
Lead Research Scientist
Posted today
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- Designing, conducting, and interpreting complex research experiments.
- Leading and mentoring a team of research scientists and technicians.
- Developing innovative methodologies and experimental protocols.
- Analyzing and reporting research findings to internal stakeholders and external conferences.
- Collaborating with cross-functional teams to integrate research outcomes into product development.
- Staying abreast of the latest scientific advancements and technological trends.
- Managing research project timelines, budgets, and resources effectively.
- Contributing to the development of intellectual property and scientific publications.
- Ph.D. in a relevant scientific field (e.g., Chemistry, Biology, Physics, Materials Science).
- Minimum of 8 years of post-doctoral research experience.
- Proven experience in leading research projects and managing teams.
- Strong publication record in reputable scientific journals.
- Expertise in advanced analytical techniques and instrumentation relevant to the field.
- Excellent problem-solving, critical thinking, and data analysis skills.
- Exceptional communication and interpersonal skills, with the ability to present complex scientific information clearly.
- Demonstrated ability to work effectively in a fast-paced, collaborative research environment.
Senior Research Scientist
Posted today
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- Designing and conducting advanced research experiments.
- Analyzing and interpreting complex scientific data.
- Developing and validating new methodologies and technologies.
- Leading research projects from conceptualization to completion.
- Mentoring and guiding junior research staff.
- Collaborating with internal and external partners on research initiatives.
- Preparing scientific reports, publications, and presentations.
- Securing research grants and funding.
- Staying abreast of the latest scientific advancements and trends in the field.
- Ensuring compliance with safety regulations and laboratory protocols.
- Contributing to the strategic direction of the R&D department.
- PhD in a relevant scientific field (e.g., Chemistry, Biology, Physics, Engineering).
- Extensive post-doctoral research experience.
- Proven track record of scientific publications and conference presentations.
- Expertise in experimental design, data analysis, and statistical modeling.
- Experience with relevant laboratory techniques and instrumentation.
- Strong leadership and project management skills.
- Excellent written and verbal communication abilities.
- Ability to work collaboratively in a team environment.