4 685 Pharmaceutical Sciences jobs in Bahrain
Scientific Research Assistant
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Senior Scientific Research Manager
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Lead Scientific Research Analyst
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Senior Scientific Research Analyst
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Key responsibilities include:
- Designing, executing, and optimizing scientific experiments and research protocols.
- Analyzing complex datasets using statistical and computational methods.
- Interpreting experimental results and drawing scientifically valid conclusions.
- Writing comprehensive research reports and preparing manuscripts for publication.
- Collaborating with other researchers, scientists, and technical staff.
- Maintaining accurate and detailed laboratory records.
- Staying current with the latest scientific literature and advancements in the field.
- Operating and maintaining specialized laboratory equipment.
- Presenting research findings at scientific conferences and internal meetings.
Lead Scientific Research Scientist (Biotechnology)
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Lead Scientific Research Data Scientist
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Key Responsibilities:
- Lead and mentor a team of data scientists in the design and execution of data analysis projects.
- Develop and implement advanced statistical models and machine learning algorithms for scientific data.
- Collaborate closely with researchers to understand their data needs and design appropriate analytical approaches.
- Process, clean, and transform large and complex scientific datasets from diverse sources.
- Visualize and communicate complex data findings effectively to both technical and non-technical audiences.
- Identify opportunities to apply novel data science techniques to solve challenging research problems.
- Develop and maintain robust data pipelines and analytical workflows.
- Contribute to the publication of research findings in peer-reviewed journals and present at scientific conferences.
- Ensure data integrity, reproducibility, and compliance with ethical standards.
- Stay abreast of the latest advancements in data science, machine learning, and scientific computing.
- Ph.D. or Master's degree in Computer Science, Statistics, Physics, Biology, Bioinformatics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant portion dedicated to scientific research.
- Demonstrated experience in leading data science teams and managing research projects.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP).
- Excellent data visualization skills using tools like Matplotlib, Seaborn, or Tableau.
- Strong analytical and problem-solving abilities with a critical thinking mindset.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively in a remote setting.
- Proven track record of contributing to scientific publications or projects.
Remote Data Scientist - Scientific Research
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As a key member of our remote R&D team, you will collaborate with leading scientists, researchers, and domain experts across the globe. You will leverage state-of-the-art tools and techniques to tackle complex problems, visualize data effectively, and communicate your findings clearly to both technical and non-technical audiences. Your work will directly impact the direction and success of our research initiatives.
Key Responsibilities:
- Design and implement data analysis strategies to extract meaningful insights from large and complex scientific datasets.
- Develop, train, and validate machine learning models for prediction, classification, clustering, and anomaly detection.
- Utilize statistical methods and programming languages (e.g., Python, R) to perform advanced data manipulation and analysis.
- Create compelling data visualizations to communicate findings and trends effectively to stakeholders.
- Collaborate with research scientists to understand their data needs and translate scientific questions into analytical tasks.
- Identify opportunities for improving data quality, collection processes, and analytical methodologies.
- Stay current with the latest advancements in data science, machine learning, and scientific research fields.
- Document methodologies, code, and findings thoroughly for reproducibility and knowledge sharing.
- Present research findings and analytical results to internal teams and at conferences.
- Contribute to the development of research proposals and grant applications by providing data-driven evidence.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Proven experience as a Data Scientist with a focus on scientific research projects.
- Strong proficiency in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
- Strong analytical, problem-solving, and critical-thinking abilities.
- Exceptional written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Demonstrated ability to work independently and collaboratively in a remote setting.
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Senior Scientific Research Fellow - Biotechnology
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Key responsibilities include designing and conducting complex experiments, analyzing and interpreting scientific data, and developing novel research methodologies. You will be responsible for troubleshooting experimental challenges, optimizing protocols, and ensuring the accuracy and reproducibility of results. The Senior Research Fellow will also be tasked with writing grant proposals, securing funding, and preparing manuscripts for publication in high-impact scientific journals. Mentoring and supervising junior researchers, postdoctoral fellows, and technical staff is a crucial aspect of this role, fostering a collaborative and intellectually stimulating research environment. You will present research findings at national and international conferences, actively engaging with the broader scientific community. Staying abreast of the latest advancements in biotechnology and related fields, and identifying new research avenues that align with the institution's strategic goals are also integral.
The successful candidate must demonstrate exceptional scientific rigor, creativity, and critical thinking skills. A deep understanding of relevant biological techniques and instrumentation is essential. Strong project management capabilities, the ability to work independently, and excellent written and verbal communication skills are paramount. Experience in managing laboratory operations and ensuring compliance with safety and ethical guidelines is also required.
Qualifications:
- Ph.D. in Biotechnology, Molecular Biology, Genetics, or a closely related field.
- Minimum of 5 years of postdoctoral research experience with a focus on biotechnology applications.
- Exceptional publication record in peer-reviewed journals.
- Demonstrated success in obtaining research grants and funding.
- Expertise in advanced molecular biology techniques, including CRISPR, next-generation sequencing, and mammalian cell culture.
- Proven ability to lead research projects and mentor junior scientists.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills for scientific reporting and presentations.
- Experience with bioinformatics tools and data analysis software is advantageous.
Remote Senior Data Scientist, Scientific Research
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As a Remote Senior Data Scientist, you will leverage advanced statistical and machine learning techniques to extract insights from complex datasets, drive research initiatives, and contribute to scientific discoveries. You will work with large-scale data, develop predictive models, and communicate findings to both technical and non-technical audiences. The ideal candidate will possess a strong academic background, a passion for scientific inquiry, and extensive experience in data analysis and model development.
Key Responsibilities:
- Design and implement statistical models and machine learning algorithms to analyze scientific data.
- Develop predictive models and forecasting tools based on research findings.
- Clean, preprocess, and transform large, complex datasets from various sources.
- Collaborate with researchers and scientists to understand data needs and research questions.
- Visualize data and communicate complex findings effectively through reports and presentations.
- Identify trends, patterns, and anomalies in data to support research hypotheses.
- Contribute to the design of experiments and data collection strategies.
- Stay current with the latest advancements in data science, machine learning, and scientific research methodologies.
- Develop and maintain reproducible code and data pipelines.
- Mentor junior data scientists and analysts.
Pharmaceutical Research Scientist
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Key Responsibilities:
- Design and conduct in vitro and in vivo experiments to evaluate the efficacy and safety of potential drug compounds.
- Analyze experimental data using statistical methods and present findings to project teams and stakeholders.
- Develop and optimize assays for drug screening and target validation.
- Contribute to the understanding of disease mechanisms and the identification of new therapeutic targets.
- Maintain detailed laboratory notebooks and prepare scientific reports and publications.
- Collaborate with chemists, biologists, pharmacologists, and other scientists to advance projects.
- Troubleshoot experimental procedures and instrumentation.
- Ensure compliance with laboratory safety regulations and good laboratory practices (GLP).
- Stay updated on the latest scientific literature and advancements in pharmaceutical research.
- Participate in cross-functional team meetings and contribute to project strategy.
- Operate and maintain specialized laboratory equipment.
- Assist in the preparation of regulatory documents and patent applications.
- Ph.D. in Pharmacology, Biochemistry, Molecular Biology, or a related life science field.
- Minimum of 3-5 years of post-doctoral research experience in the pharmaceutical industry or academia.
- Proven track record in drug discovery, with a strong understanding of pharmacology and medicinal chemistry principles.
- Extensive experience with relevant experimental techniques (e.g., cell culture, molecular biology assays, animal models).
- Proficiency in data analysis software (e.g., GraphPad Prism, R) and statistical methods.
- Excellent scientific writing and presentation skills.
- Ability to work independently and as part of a collaborative research team.
- Strong problem-solving abilities and attention to detail.
- Experience with high-throughput screening (HTS) is a plus.
- Familiarity with regulatory requirements for drug development is advantageous.