What Biology Jobs are in Kenya?

• Lead the design, synthesis, and application of chemical probes and small molecules to study biological processes and validate drug targets.
• Develop and implement innovative chemical biology assays and methodologies.
• Collaborate closely with medicinal chemists, biologists, and computational scientists in a virtual setting to advance drug discovery projects.
• Analyze and interpret complex experimental data, utilizing appropriate bioinformatics and statistical tools.
• Stay abreast of the latest advancements in chemical biology, organic synthesis, and drug discovery.
• Effectively communicate research findings and strategies to internal teams, senior management, and external collaborators through presentations and publications.
• Contribute to the strategic direction of the **Scientific Research & Development** department and mentor junior scientists.
• Champion best practices in chemical biology research within the remote **Kakamega, Kakamega, KE** based team.

• Ph.D. in Chemical Biology, Organic Chemistry, Biochemistry, or a related field.
• Minimum of 8 years of post-doctoral or industry research experience with a strong focus on chemical biology and drug discovery.
• Extensive expertise in synthetic organic chemistry, medicinal chemistry, and the design/application of chemical probes.
• Proven experience with a range of biochemical and biophysical assays.
• Strong understanding of molecular and cellular biology.
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to lead projects and teams effectively in a remote, collaborative environment.
• Exceptional written and oral communication skills.
• Experience with mass spectrometry or structural biology is a plus.

Our client, a renowned innovator in leveraging computational approaches for biological discovery, is seeking a Lead Bioinformatician specializing in Systems Biology to join our fully remote Scientific Research & Development team. This role is crucial for integrating diverse biological data types (genomics, transcriptomics, proteomics, metabolomics) to build comprehensive models of cellular and organismal systems. You will guide research efforts, develop advanced computational tools, and collaborate with a global network of scientists to unravel complex biological interactions and pathways. As a fully remote position, we prioritize asynchronous communication, robust documentation, and delivering high-impact scientific outcomes, empowering our team members to thrive from anywhere. We cultivate an environment of open collaboration and scientific rigor.

• Lead the development and application of computational and statistical methods for integrating multi-omics datasets to build systems biology models.
• Design and implement pipelines for the analysis of large-scale omics data, ensuring data quality and reproducibility.
• Develop predictive models of biological networks and pathways to understand cellular functions and disease mechanisms.
• Collaborate with experimental biologists, computational chemists, and data scientists to interpret integrated data and guide research strategies.
• Evaluate and implement novel computational tools and algorithms relevant to systems biology.
• Mentor and guide junior bioinformaticians and data scientists, fostering a collaborative research environment.
• Contribute to high-impact scientific publications and present findings at international conferences (virtually).
• Manage bioinformatics projects, ensuring timely delivery of results and adherence to research goals.
• Champion best practices in bioinformatics, data management, and reproducible research within the remote team.

• Ph.D. in Bioinformatics, Computational Biology, Systems Biology, Computer Science, or a related quantitative field.
• 5+ years of hands-on experience in bioinformatics and computational biology, with a strong emphasis on systems biology approaches and a solid publication record.
• Demonstrated expertise in analyzing and integrating multiple omics data types (genomics, transcriptomics, proteomics, metabolomics).
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and tools.
• Experience with network analysis, pathway analysis, and computational modeling of biological systems.
• Familiarity with relevant databases and ontologies (e.g., GO, KEGG).
• Strong understanding of molecular biology and cell biology principles.
• Excellent leadership, communication, and interpersonal skills for effective remote collaboration.
• Proven ability to work independently, manage projects, and drive research innovation.

This fully remote role offers a highly competitive salary, substantial stock options, and performance-based bonuses. We provide comprehensive health, dental, and vision insurance plans, along with a robust retirement savings program. Unlimited paid time off and flexible working hours are encouraged to support optimal work-life balance. Our client invests in professional development, offering access to cutting-edge research tools, online courses, and virtual conference participation. We are committed to building a diverse and inclusive global workforce.

• Lead the design, construction, and characterization of synthetic genetic circuits and metabolic pathways.
• Develop and optimize microbial chassis for industrial applications in synthetic biology.
• Engineer organisms for the production of high-value chemicals, biomaterials, or therapeutics.
• Oversee and conduct experiments using molecular biology, genetic engineering, and high-throughput screening techniques.
• Analyze and interpret complex experimental data, and guide subsequent experimental design.
• Mentor and guide junior scientists and research associates.
• Collaborate with fermentation and process development teams to scale up engineered organisms.
• Stay abreast of the latest advancements in synthetic biology, genetic engineering, and relevant fields.
• Contribute to intellectual property strategy and scientific publications.

• Ph.D. in Synthetic Biology, Molecular Biology, Chemical Engineering, Bioengineering, or a related discipline.
• Minimum of 7 years of research experience in synthetic biology or a closely related field, with a strong publication record.
• Proven experience in designing and constructing complex genetic constructs and engineering microbial strains.
• Hands-on expertise in various molecular biology techniques, gene editing technologies (e.g., CRISPR), and high-throughput screening.
• Experience with metabolic engineering and pathway design is highly desirable.
• Strong understanding of microbial physiology and fermentation processes.
• Demonstrated leadership capabilities and experience mentoring research teams.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex scientific information effectively.

• Lead the design, development, and implementation of state-of-the-art machine learning models for biological applications.
• Develop robust ML pipelines for data processing, feature engineering, model training, and deployment in a production environment.
• Collaborate closely with computational biologists, chemists, and data scientists to define project requirements and translate biological problems into ML tasks.
• Research and implement novel ML algorithms and techniques relevant to drug discovery and biological data analysis.
• Optimize model performance for accuracy, scalability, and efficiency.
• Build and maintain scalable ML infrastructure and tooling.
• Mentor junior engineers and contribute to best practices in ML development.
• Present technical designs and project updates to stakeholders.
• Stay at the forefront of AI/ML research and its applications in the life sciences.
• Ensure the reproducibility and interpretability of ML models.

• Master's or Ph.D. in Computer Science, Machine Learning, Computational Biology, or a related quantitative field.
• Minimum of 8 years of experience in machine learning engineering, with at least 3 years focused on biological or chemical data.
• Proven track record of building and deploying complex ML models in production environments.
• Expertise in programming languages such as Python, and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of deep learning architectures, graph neural networks, and natural language processing techniques relevant to biology.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
• Familiarity with biological data types (e.g., protein sequences, molecular structures, omics data).
• Excellent software engineering skills, including data structures, algorithms, and system design.
• Strong communication and leadership abilities.
• Demonstrated ability to thrive in a fully remote, fast-paced startup environment.

Our client, a pioneering biopharmaceutical company at the forefront of immunological research, is actively seeking an experienced and visionary Lead Research Scientist in Immunology . This is a fully remote position, offering a unique opportunity to shape innovative research strategies and lead projects from anywhere. The ideal candidate will possess a deep understanding of immune system mechanisms, a strong track record in immunology research, and proven leadership capabilities. You will be responsible for guiding research efforts focused on developing novel immunotherapies, mentoring a team of talented scientists, and contributing significantly to the company's drug discovery pipeline. This role demands a strategic thinker with exceptional scientific acumen and the ability to foster a collaborative and productive virtual research environment.

• Lead and direct research projects focused on understanding immune responses and developing immunomodulatory therapies.
• Design and oversee complex immunological studies, including in vitro and in vivo models.
• Develop and validate advanced assays to assess immune cell function, cytokine production, and immune cell trafficking.
• Interpret experimental data, troubleshoot complex issues, and make data-driven decisions regarding research direction.
• Supervise, mentor, and guide a team of immunologists and research associates, fostering a high-performance culture in a remote setting.
• Collaborate with cross-functional teams, including virologists, oncologists, and translational scientists.
• Author high-quality manuscripts for publication in leading scientific journals and present findings at international conferences.
• Contribute to the intellectual property portfolio through patent filings.
• Manage project timelines, resources, and budgets effectively.
• Ensure adherence to all laboratory safety protocols and regulatory guidelines where applicable for outsourced or collaborative wet lab work.

• Ph.D. in Immunology, Molecular Biology, Cell Biology, or a closely related field.
• A minimum of 7 years of relevant post-doctoral and/or industry experience, with demonstrated success in leading research projects.
• Deep understanding of innate and adaptive immunity, immuno-oncology, or autoimmune diseases.
• Extensive hands-on experience with a wide range of immunological techniques (e.g., flow cytometry, ELISA, ELISpot, cell-based assays).
• Experience with single-cell technologies and omics data analysis is highly desirable.
• Proven track record of scientific innovation, including publications in reputable journals and/or patents.
• Excellent leadership, communication, and interpersonal skills, with the ability to inspire and motivate a remote team.
• Strong analytical and problem-solving abilities.
• Proficiency in data analysis software and statistical methods.
• Experience in biopharmaceutical R&D processes is a plus.
• Ability to manage multiple projects simultaneously and meet strict deadlines.

This remote leadership role comes with a highly competitive salary, comprehensive benefits package including medical, dental, and vision insurance, a generous retirement savings plan, and significant opportunities for professional growth. Our client values work-life balance and offers flexible working hours. Employees will have access to cutting-edge virtual research tools and support for continued scientific development. This is an exceptional opportunity to make a significant impact on the development of new immunotherapies from a remote work environment.

• Design, execute, and interpret experiments related to cellular and molecular immunology.
• Investigate the role of the immune system in various disease contexts, including cancer, autoimmune diseases, and infectious diseases.
• Develop and optimize new immunological assays and techniques.
• Characterize immune cell populations and their functions using flow cytometry, single-cell sequencing, and other advanced techniques.
• Analyze experimental data using statistical methods and relevant software.
• Collaborate with other researchers within the institute and with external partners.
• Contribute to the preparation of manuscripts for publication in peer-reviewed journals.
• Present research findings at internal meetings and scientific conferences.

• Ph.D. in Immunology, Molecular Biology, Cell Biology, or a related field.
• Minimum of 3 years of postdoctoral experience in a relevant field of immunology research.
• Strong track record of research accomplishments, demonstrated by publications in reputable journals.
• Hands-on experience with a range of immunological techniques, including flow cytometry, ELISA, western blotting, and cell culture.
• Experience with molecular biology techniques such as PCR, cloning, and gene editing is desirable.
• Proficiency in data analysis and statistical software (e.g., GraphPad Prism, R).
• Excellent experimental design and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a collaborative research team.