3,055 Lead Research Scientist Biomaterials jobs in Kenya

• Lead the design and implementation of sophisticated statistical models and machine learning algorithms for scientific data analysis.
• Develop and manage data pipelines for ingesting, cleaning, transforming, and analyzing large-scale scientific datasets from various sources (e.g., experimental, observational, genomic).
• Collaborate closely with domain experts (biologists, chemists, physicists, etc.) to understand research questions and translate them into data science problems.
• Mentor and guide a team of data scientists, providing technical leadership and fostering professional development.
• Design and conduct rigorous A/B testing and validation studies to assess the performance of models and hypotheses.
• Develop reproducible research workflows and ensure best practices in coding, version control, and documentation.
• Communicate complex analytical findings and insights effectively to both technical and non-technical audiences through clear visualizations and presentations.
• Identify opportunities to leverage new data science techniques and technologies to solve challenging scientific problems.
• Contribute to grant proposals and publications by providing data analysis expertise and insights.
• Ensure data privacy, security, and ethical considerations are maintained throughout all data science projects.
• Stay current with the latest advancements in data science, machine learning, artificial intelligence, and their applications in scientific research.

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• A minimum of 7 years of progressive experience in data science, with a significant portion focused on scientific or research applications.
• Demonstrated experience in leading data science projects and mentoring junior team members.
• Expertise in programming languages such as Python or R, and proficiency with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
• Excellent data visualization skills and experience with tools like Matplotlib, Seaborn, or Tableau.
• Exceptional analytical, problem-solving, and critical thinking abilities.
• Superb communication and collaboration skills, with the ability to work effectively in a distributed, remote team.
• Experience with bioinformatics, cheminformatics, or other specialized scientific data analysis is a plus.

Summary
The Senior Research Analyst is responsible for internal project management and report writing. This role requires the ability to effectively communicate with stakeholders, manage multiple projects and analyze complex data sets, synthesize information, and present findings in a clear and concise manner. To be successful in this role, you must have strong communication skills, excellent analytical skills, attention to detail, and the ability to multitask.

Responsibilities
Participate in client meetings to ensure comprehension of client needs.

Support in writing RFPs, questionnaire design, writing research reports, strategic recommendations and client presentation.

Create statistical analysis and reporting plans, conducting analysis of results.

Full cycle project management in collaboration with the operations team to ensure quality control and adherence to project timelines, such as validating the questionnaire's test link, interviewer training, coordinating field implementation, follow-up and validation of the pre-test, daily project field monitoring, project follow-up and coordinating end of fieldwork stages.

Qualifications
Bachelor's or Master's in Sociology, Psychology, Business or related field

Minimum 4 years' work experience in client facing/customer service roles

Minimum with 2 years' Market Research experience as a Market Research Analyst, preferably on supplier side research.

Skills
Strong Project Management skill: Adept managing multiple projects and timelines at once.

Strong Client Management skill: Adept at nurturing client relationships, understanding client needs and helping clients in solving their business problems with research.

Excellent communication and presentation skills: Ability to convey complex data and insights in a clear and compelling manner.

Excellent analytical skills: Ability to examine and interpret data with keen attention to detail; identify trends, patterns, and insights, and draw meaningful conclusions that is useful for decision-making.

• Lead and manage multiple scientific research projects in environmental science.
• Develop strategic research plans and roadmaps.
• Supervise and mentor a team of remote research scientists and technicians.
• Oversee experimental design, data collection, and analysis.
• Write and submit grant proposals to secure research funding.
• Foster collaborations with external research institutions and industry partners.
• Ensure scientific integrity and adherence to research ethics.
• Disseminate research findings through publications, presentations, and reports.
• Manage research budgets and resources effectively.
• Stay abreast of advancements in environmental science and research methodologies.

• Ph.D. in Environmental Science, Ecology, Climate Science, or a related field.
• Minimum of 8 years of research experience, with at least 3 years in a leadership or management role.
• Proven track record in securing research grants and managing large-scale research projects.
• Expertise in scientific research methodologies, data analysis, and interpretation.
• Strong leadership, team-building, and interpersonal skills.
• Excellent written and verbal communication skills, including grant writing and presentation experience.
• Proficiency in scientific software and data analysis tools.
• Demonstrated ability to work independently and manage diverse research portfolios remotely.
• Experience in publishing research in high-impact journals.
• A passion for environmental sustainability and scientific innovation.

• Lead the design, development, and implementation of advanced analytical models and algorithms to address complex scientific R&D challenges.
• Mentor and manage a team of data scientists and researchers, fostering a collaborative and innovative environment.
• Oversee the entire data science project lifecycle, from data exploration and feature engineering to model validation and deployment.
• Collaborate closely with R&D scientists, engineers, and product managers to define project scope and objectives.
• Identify novel data sources and analytical approaches to accelerate scientific discovery.
• Develop and maintain robust data pipelines and infrastructure for scientific data processing.
• Present complex scientific findings and insights to both technical and non-technical audiences.
• Stay current with the latest advancements in machine learning, AI, statistical modeling, and relevant scientific fields.
• Champion data-driven decision-making and promote best practices in scientific data analysis.
• Contribute to the development of intellectual property and scientific publications.
• Manage project timelines, resources, and deliverables effectively.

• Ph.D. or Master's degree in a quantitative scientific field such as Physics, Chemistry, Biology, Computer Science, Statistics, or a related discipline.
• 8+ years of progressive experience in data science, with a significant focus on scientific research and development.
• Proven experience in leading and managing scientific data science teams.
• Expertise in machine learning, deep learning, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of scientific principles relevant to the company's R&D focus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication, presentation, and interpersonal skills, with the ability to collaborate effectively in a remote setting.
• Track record of publications or contributions to scientific advancements.