1,945 Principal Scientific Researcher Bioinformatics jobs in Kenya
Principal Scientific Researcher - Bioinformatics
Posted 20 days ago
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- Developing and implementing novel computational methods and algorithms for analyzing high-throughput biological data (genomics, transcriptomics, proteomics, metabolomics).
- Leading independent research projects from inception to publication, including hypothesis generation, experimental design, data acquisition, analysis, and interpretation.
- Collaborating with biologists, clinicians, and other researchers to address critical scientific questions.
- Supervising and mentoring junior researchers, post-doctoral fellows, and graduate students.
- Securing external funding through grant writing and proposal development.
- Presenting research findings at national and international conferences.
- Maintaining a strong publication record in high-impact peer-reviewed journals.
- Contributing to the strategic direction of the research department and identifying new research opportunities.
- Ensuring adherence to ethical guidelines and regulatory requirements in research conduct.
- Managing research budgets and resources effectively.
- Fostering a collaborative and intellectually stimulating research environment.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience in a relevant scientific discipline.
- Demonstrated expertise in analyzing large-scale biological datasets using various computational tools and programming languages (e.g., Python, R, Perl).
- Proven track record of leading successful research projects and securing competitive grants.
- Extensive knowledge of bioinformatics databases, tools, and pipelines.
- Experience with machine learning and statistical modeling techniques applied to biological data.
- Excellent scientific writing and oral communication skills.
- Strong leadership and team management abilities.
- A deep understanding of molecular biology principles.
- Experience with cloud computing platforms (AWS, GCP, Azure) is advantageous.
- Ability to critically evaluate scientific literature and integrate findings into new research directions.
- A passion for scientific discovery and a commitment to pushing the boundaries of knowledge.
Principal Scientific Researcher - Bioinformatics & Genomics
Posted 2 days ago
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Principal Scientific Researcher - Bioinformatics (Remote)
Posted 20 days ago
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Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field.
- Minimum of 8 years of post-doctoral or industry research experience in bioinformatics.
- Demonstrated leadership in scientific research with a strong publication record in high-impact journals.
- Expertise in analyzing large-scale biological datasets (genomics, transcriptomics, proteomics).
- Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics tools and libraries.
- Strong understanding of statistical methods, machine learning, and algorithm development for biological data.
- Experience with database management and querying (e.g., SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for remote collaboration and scientific presentations.
- Ability to independently manage research projects, secure funding, and mentor junior scientists.
Remote Principal Scientific Researcher - Bioinformatics
Posted 20 days ago
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Principal Scientific Researcher - Genomics and Bioinformatics
Posted 6 days ago
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Principal Data Scientist - Scientific Research
Posted 20 days ago
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Principal Research Scientist (Scientific Research & Development)
Posted 12 days ago
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Remote Principal Data Scientist - Scientific Research
Posted 18 days ago
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Responsibilities:
- Lead the design and implementation of complex data science projects to address critical research questions.
- Develop and apply advanced statistical methods, machine learning algorithms, and predictive models to large, complex scientific datasets.
- Extract, clean, transform, and analyze diverse data sources (e.g., experimental data, simulations, observational data).
- Visualize complex data and communicate findings clearly and effectively to researchers, stakeholders, and collaborators.
- Mentor and guide junior data scientists and research staff in data analysis methodologies.
- Collaborate with principal investigators and research teams to define research objectives and data requirements.
- Stay abreast of the latest advancements in data science, machine learning, artificial intelligence, and their applications in scientific research.
- Develop and maintain robust data pipelines and computational workflows.
- Evaluate and implement new tools and technologies for data analysis and modeling.
- Contribute to grant proposals and research publications by providing data science expertise.
- Ensure the reproducibility and validity of analytical results.
- Identify opportunities to leverage data for novel discoveries and advancements.
- Manage data governance, privacy, and ethical considerations in research data analysis.
- Present research findings at scientific conferences and workshops.
- Troubleshoot and resolve complex analytical challenges.
- Ph.D. in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 10 years of experience as a Data Scientist, with a significant focus on scientific research applications.
- Extensive expertise in statistical modeling, machine learning techniques (e.g., deep learning, Bayesian methods, reinforcement learning), and experimental design.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
- Excellent data visualization skills and experience with tools like Matplotlib, Seaborn, or Tableau.
- Demonstrated ability to lead complex analytical projects and mentor junior team members.
- Exceptional problem-solving, critical-thinking, and analytical skills.
- Outstanding communication and presentation skills, capable of explaining complex technical concepts to both technical and non-technical audiences remotely.
- Ability to work independently, manage priorities, and drive projects to completion in a remote setting.
- Experience in a specific scientific domain (e.g., genomics, astrophysics, bioinformatics, computational chemistry) is highly desirable.
- Strong understanding of data management best practices and database technologies.
Principal Scientific Research Scientist
Posted 20 days ago
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Principal Scientific Research Scientist (Biotechnology)
Posted 2 days ago
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Responsibilities:
- Lead and direct complex research projects in biotechnology, focusing on areas such as genetic engineering, molecular diagnostics, or bioprocessing.
- Develop innovative research strategies and experimental designs to address critical scientific questions.
- Oversee the execution of experiments, ensuring data integrity and reproducibility.
- Analyze and interpret large and complex datasets, utilizing advanced statistical and bioinformatics tools.
- Mentor and guide a team of research scientists and technicians, fostering their professional development.
- Prepare high-quality scientific manuscripts for publication in peer-reviewed journals.
- Present research findings at national and international conferences.
- Contribute to the development of intellectual property, including patent applications.
- Collaborate with internal and external partners to advance research programs.
- Stay current with the latest advancements in biotechnology and related fields.
- Ph.D. in Molecular Biology, Genetics, Biochemistry, Bioengineering, or a closely related field.
- Minimum of 10 years of postdoctoral research experience in a relevant scientific domain.
- Demonstrated success in leading independent research programs and securing funding.
- Extensive experience with molecular cloning, gene editing techniques (e.g., CRISPR), protein expression and purification, or other relevant biotechnological methods.
- Proficiency in bioinformatics tools and statistical analysis software.
- Exceptional publication record in reputable scientific journals.
- Strong leadership, mentorship, and project management skills.
- Excellent written and verbal communication abilities, essential for remote collaboration.