1,430 Biostatistician jobs in Kenya
Biostatistician (Remote)
Posted 1 day ago
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Senior Biostatistician
Posted 2 days ago
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Key responsibilities include:
- Designing clinical trial protocols, including sample size calculations and randomization schemes.
- Developing and implementing statistical analysis plans (SAPs) for various study phases.
- Performing statistical analyses using SAS, R, or similar statistical software.
- Interpreting statistical results and communicating findings to both statistical and non-statistical audiences.
- Collaborating with clinical, data management, and medical writing teams.
- Contributing to the preparation of regulatory documents (e.g., IND, NDA).
- Ensuring compliance with Good Clinical Practice (GCP) and relevant regulatory guidelines.
- Mentoring junior biostatisticians and contributing to the development of statistical methodologies.
- Presenting statistical findings at internal meetings and scientific conferences.
- Evaluating and recommending new statistical methods and software.
The ideal candidate will hold a Master's or Ph.D. in Biostatistics, Statistics, or a closely related quantitative field. A minimum of 7 years of relevant experience in the pharmaceutical or biotechnology industry, with a strong focus on clinical trial analysis, is required. Demonstrated proficiency in statistical software packages (SAS is mandatory, R is a plus) and advanced statistical techniques (e.g., mixed models, survival analysis, Bayesian methods) is essential. Excellent written and verbal communication skills, with the ability to explain complex statistical concepts clearly, are paramount. Experience with regulatory submissions to agencies like the FDA and EMA is highly valued. A proactive approach to problem-solving and a commitment to scientific excellence are expected. This role is based in Mlolongo, Machakos, KE , offering a unique opportunity to contribute to impactful medical research.
Remote Senior Biostatistician
Posted 5 days ago
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Key responsibilities include developing statistical analysis plans for clinical trials and observational studies, ensuring appropriate study design and data collection methods. You will perform statistical analyses using SAS, R, or other statistical software, including regression analysis, survival analysis, and mixed-effects modeling. The role involves collaborating closely with researchers, clinicians, and data managers to ensure data integrity and accurate interpretation of findings. You will be responsible for generating statistical reports, tables, and figures for regulatory submissions and publications. Mentoring junior biostatisticians and contributing to the development of statistical methodologies is also expected.
The ideal candidate will possess a Master's or Ph.D. degree in Biostatistics, Statistics, or a related quantitative field. Extensive experience in biostatistical analysis within the pharmaceutical, biotechnology, or healthcare industries is essential. Proven expertise in statistical software such as SAS and R is required. Strong knowledge of clinical trial design, regulatory requirements (e.g., FDA, EMA), and Good Clinical Practice (GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are critical, as you will need to clearly articulate complex statistical concepts to a diverse audience. The ability to work effectively in a collaborative team environment, both remotely and in person, is a key requirement. Join our client and contribute to significant scientific advancements.
Senior Pharmaceutical Research Scientist - Remote Data Analysis
Posted 2 days ago
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Senior Research Scientist - Clinical Trials
Posted today
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Responsibilities:
- Design and develop clinical trial protocols, including study objectives, endpoints, and statistical analysis plans.
- Oversee the implementation of clinical trials, ensuring compliance with GCP (Good Clinical Practice) and other regulatory guidelines.
- Collaborate with principal investigators, site staff, and study coordinators to ensure smooth trial execution.
- Analyze clinical trial data using advanced statistical methods and bioinformatics tools.
- Interpret study results and contribute to the preparation of manuscripts for publication in peer-reviewed journals.
- Present research findings at scientific conferences and to internal stakeholders.
- Manage relationships with Contract Research Organizations (CROs) and other external partners.
- Contribute to the development of regulatory submissions and documents.
- Stay abreast of the latest advancements in clinical trial methodologies and therapeutic areas.
- Mentor junior research staff and contribute to the development of research capabilities.
- Identify and pursue opportunities for new research projects and grant funding.
- Ensure all research activities are conducted ethically and with the highest scientific integrity.
- Ph.D. or M.D. in a relevant scientific discipline (e.g., Medicine, Pharmacology, Biomedical Sciences, Statistics).
- A minimum of 7 years of experience in clinical research, with a significant focus on designing and managing clinical trials.
- Demonstrated expertise in biostatistics and data analysis for clinical trials.
- In-depth knowledge of GCP, ICH guidelines, and regulatory requirements for clinical research.
- Experience with various phases of clinical trials (Phase I, II, III, IV).
- Proficiency in statistical software packages (e.g., SAS, R) and clinical data management systems.
- Excellent written and verbal communication skills, with the ability to communicate complex scientific information effectively.
- Strong analytical, problem-solving, and critical thinking skills.
- Proven leadership and project management capabilities.
- Ability to work independently and collaboratively in a remote research environment.
- Experience in a specific therapeutic area (e.g., oncology, cardiology, infectious diseases) is a plus.
AI Research Scientist
Posted today
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Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, deep learning, and related fields.
- Design, develop, and implement novel algorithms and models.
- Analyze large datasets to extract insights and train AI models.
- Evaluate and validate the performance of AI models and systems.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay abreast of the latest research and advancements in AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the intellectual property of the organization through patents and publications.
- Mentor junior researchers and contribute to the team's scientific growth.
- Develop and maintain documentation for research projects and methodologies.
- Optimize AI models for performance and scalability.
Location: Eldoret, Uasin Gishu, KE
Principal Research Scientist
Posted today
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Research Scientist (Biotechnology)
Posted 1 day ago
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Responsibilities:
- Design, execute, and optimize experiments related to gene editing, protein expression, cell culture, or other relevant biotechnological processes.
- Analyze and interpret experimental data using advanced statistical methods and bioinformatics tools.
- Develop and validate new experimental protocols and methodologies.
- Contribute to the writing of research proposals, grant applications, and scientific publications.
- Present research findings at internal meetings and external conferences.
- Collaborate with cross-functional teams of scientists and engineers on research projects.
- Maintain detailed laboratory notebooks and records of experimental procedures and results.
- Ensure compliance with all safety regulations and ethical guidelines.
- Troubleshoot experimental issues and devise solutions.
- Stay abreast of the latest advancements and technologies in biotechnology and relevant scientific literature.
- Ph.D. in Biotechnology, Molecular Biology, Genetics, Biochemistry, or a closely related field.
- Minimum of 3-5 years of postdoctoral research experience or equivalent industry experience.
- Proven expertise in relevant laboratory techniques (e.g., PCR, Western blotting, CRISPR, mammalian cell culture).
- Strong understanding of scientific principles and experimental design.
- Proficiency in data analysis software (e.g., R, Python, GraphPad Prism) and bioinformatics tools.
- Excellent written and verbal communication skills, with a track record of publications in peer-reviewed journals.
- Demonstrated ability to work independently and as part of a distributed research team.
- Strong organizational and time management skills.
- Experience with project management is a plus.
- A genuine passion for scientific research and innovation.
Agricultural Research Scientist
Posted 1 day ago
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