3,048 Lead Pharmaceutical Research Scientist Remote jobs in Kenya
Lead Research Scientist (Biotechnology) - Remote
Posted 20 days ago
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Lead Pharmaceutical Scientist - Remote
Posted 12 days ago
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Responsibilities:
- Lead and manage early-stage drug discovery and development projects, from conceptualization to preclinical evaluation.
- Design and conduct rigorous scientific experiments, ensuring data integrity and reproducibility.
- Develop and optimize new pharmaceutical formulations and drug delivery systems.
- Analyze and interpret complex experimental data, using advanced statistical methods and software.
- Collaborate with multidisciplinary teams, including medicinal chemists, biologists, pharmacologists, and clinical researchers.
- Prepare high-quality scientific reports, presentations, and publications for internal and external stakeholders.
- Mentor and guide junior scientists, fostering a collaborative and innovative research environment.
- Oversee the procurement and maintenance of laboratory equipment and supplies.
- Ensure compliance with all relevant regulatory guidelines (e.g., GLP, GMP) and safety protocols.
- Contribute to the strategic direction of the R&D pipeline and identify new areas of scientific exploration.
- Stay current with the latest advancements in pharmaceutical science, biotechnology, and relevant therapeutic areas.
- Ph.D. in Pharmaceutical Sciences, Pharmacology, Biochemistry, or a related life science discipline.
- A minimum of 8 years of post-doctoral research experience in the pharmaceutical or biotechnology industry.
- Proven expertise in drug discovery, formulation development, and/or drug delivery systems.
- Strong understanding of preclinical development processes and regulatory requirements.
- Demonstrated leadership skills with experience managing scientific projects and teams.
- Excellent analytical and problem-solving abilities, with a keen eye for detail.
- Proficiency in data analysis software (e.g., GraphPad Prism, R, SAS) and scientific writing.
- Exceptional communication and interpersonal skills, enabling effective collaboration in a remote setting.
- Ability to work independently, manage priorities effectively, and meet project deadlines.
- A track record of scientific publications and presentations is highly desirable.
- Experience with biologics or small molecule therapeutics is a plus.
Lead R&D Scientist - Biotechnology (Remote)
Posted 20 days ago
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Lead Pharmaceutical Formulation Scientist (Remote)
Posted 6 days ago
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Lead Pharmaceutical Research Scientist - Remote
Posted 22 days ago
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Responsibilities include:
- Leading and mentoring a team of scientists in areas such as medicinal chemistry, pharmacology, and preclinical development.
- Designing and executing complex research projects to identify and validate novel drug targets and lead compounds.
- Developing and optimizing innovative assay systems for screening and characterization of potential therapeutics.
- Analyzing and interpreting large datasets to derive actionable insights and guide project strategy.
- Collaborating with cross-functional teams, including clinical development, regulatory affairs, and manufacturing.
- Writing and presenting research findings at scientific conferences and in peer-reviewed publications.
- Ensuring adherence to Good Laboratory Practices (GLP) and other relevant regulatory guidelines.
- Managing project timelines, budgets, and resources effectively within a remote framework.
- Identifying and evaluating new technologies and methodologies to enhance research productivity and innovation.
- Contributing to the strategic direction of the company's research pipeline.
The successful candidate will hold a Ph.D. in Pharmacology, Chemistry, Biochemistry, or a related life science discipline, complemented by a minimum of 10 years of post-doctoral research experience in the pharmaceutical industry. Demonstrable leadership experience and a strong publication record are essential. Expertise in one or more therapeutic areas (e.g., oncology, infectious diseases, neurology) is highly valued. Exceptional analytical, critical thinking, and communication skills are required to thrive in this collaborative, remote environment. You should possess a deep understanding of drug discovery processes, from hit identification to preclinical candidate selection. Experience with high-throughput screening, molecular biology techniques, and pharmacokinetics/pharmacodynamics (PK/PD) studies is crucial. The ability to foster a collaborative spirit and drive scientific excellence remotely is paramount. This is an extraordinary opportunity to make a significant impact on global health.
Lead Pharmaceutical Research Scientist - Remote R&D
Posted 5 days ago
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Lead Pharmaceutical Research Scientist - Remote Drug Discovery
Posted 5 days ago
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Responsibilities:
- Lead and manage research projects focused on the discovery and development of new pharmaceutical agents.
- Design and execute experiments to identify and validate novel drug targets and therapeutic strategies.
- Analyze and interpret complex scientific data, drawing conclusions and making informed recommendations.
- Oversee the synthesis, characterization, and testing of potential drug candidates.
- Collaborate with cross-functional teams, including medicinal chemists, biologists, and pharmacologists, in a remote setting.
- Stay abreast of the latest advancements in pharmaceutical research, biotechnology, and relevant disease areas.
- Prepare research reports, scientific publications, and presentations for internal and external stakeholders.
- Mentor and guide junior research scientists, fostering a culture of scientific excellence and innovation.
- Ensure compliance with all relevant regulatory guidelines and ethical standards.
- Contribute to the strategic direction of the drug discovery pipeline.
- Ph.D. in Pharmacology, Biochemistry, Molecular Biology, or a related life science discipline.
- Minimum of 8-10 years of progressive experience in pharmaceutical research and drug discovery.
- Demonstrated success in leading research teams and managing complex scientific projects.
- Expertise in one or more therapeutic areas such as oncology, immunology, or infectious diseases.
- Strong knowledge of drug discovery processes, including target identification, lead optimization, and preclinical development.
- Proficiency in relevant scientific methodologies and technologies.
- Excellent data analysis, interpretation, and scientific writing skills.
- Experience with bioinformatic tools and computational biology is a plus.
- Exceptional communication and interpersonal skills to facilitate remote collaboration.
- Proven ability to think critically, solve problems creatively, and adapt to changing research landscapes.
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Lead Scientific Data Analyst - Genomics
Posted 7 days ago
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Key Responsibilities:
- Lead the design and execution of complex genomic data analysis pipelines, including next-generation sequencing (NGS) data.
- Develop and implement advanced statistical models and machine learning algorithms to interpret biological data and identify significant patterns.
- Collaborate closely with research scientists, bioinformaticians, and other data analysts to define research questions and analytical strategies.
- Manage and curate large-scale genomic datasets, ensuring data integrity, accuracy, and accessibility.
- Visualize complex data in a clear and comprehensible manner for scientific publications, presentations, and internal reports.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and statistical methodologies.
- Mentor and guide junior data analysts and researchers in data analysis techniques.
- Contribute to the development of new research methodologies and data analysis platforms.
- Ensure reproducibility of analysis by maintaining well-documented code and workflows.
- Present findings to internal teams and external collaborators at scientific conferences.
Qualifications include a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field. A minimum of 6 years of experience in analyzing large-scale biological datasets, with a significant focus on genomics, is essential. Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and libraries (e.g., Bioconductor, GATK, Samtools) are required. Demonstrated experience with statistical modeling, machine learning, and data visualization techniques is critical. Excellent understanding of genomics principles, molecular biology, and relevant experimental techniques is a must. Strong problem-solving abilities and the capacity to work independently in a remote, fast-paced research environment are necessary. Experience with cloud computing platforms (AWS, GCP, Azure) for data analysis is a significant advantage. If you are passionate about leveraging data to unlock the secrets of the genome and are seeking an impactful remote role, we invite you to apply.
Lead Pharmaceutical Research Chemist - Remote Drug Discovery
Posted 22 days ago
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Remote Scientific Data Analyst
Posted 17 days ago
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Responsibilities:
- Collect, clean, and pre-process large scientific datasets from various experimental sources.
- Perform statistical analysis on research data to identify trends, patterns, and significant findings.
- Develop and implement data visualization techniques to effectively communicate research results.
- Collaborate with researchers to define data analysis requirements and methodologies.
- Interpret complex scientific data and provide actionable insights to research teams.
- Design and execute experiments for data validation and quality control.
- Utilize statistical software and programming languages (e.g., R, Python, SPSS) for data manipulation and analysis.
- Contribute to the writing of scientific reports, publications, and presentations.
- Maintain accurate and organized documentation of data analysis processes and results.
- Stay updated with the latest advancements in data analysis techniques and relevant scientific fields.
- Contribute to the development of predictive models and analytical frameworks.
- Ensure data integrity and adherence to research ethics and protocols.
- Master's or PhD in a quantitative field such as Statistics, Mathematics, Physics, Biology, Computer Science, or a related scientific discipline.
- Proven experience in analyzing complex scientific datasets.
- Strong proficiency in statistical analysis methods and software (e.g., R, Python with libraries like Pandas, NumPy, SciPy, SPSS, SAS).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with database management and SQL.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently and manage time effectively in a remote setting.
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with scientific research methodologies.
- A proactive approach to data challenges and a commitment to scientific rigor.