8 Scientific Research & Development jobs in Oman

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer
• SAS Certified Data Scientist

Applications are invited for the post of Research Assistant (RA) at Dhofar University, Salalah, Oman, to work on a TRC project titled Authoring three graded English Supplementary Readers for EFL learners at Foundation Program in Omani Universities (Proposal ID: BFP/RGP/EHR/23/041). The position is under the supervision of Dr. Julius Irudayasamy (PI).

Industry: Education, Training, Teaching

Department / Functional Area: R&D, Research & Development

Keywords: Research Assistant (RA) at the Department of English Language and Literature - CAAS

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Senior Technical Writer (ERP Products)

Location: Colombo, Sri Lanka or Muscat, Oman

About the Role

We are seeking an experienced Senior Technical Writer to create, manage, and maintain high-quality documentation for our ERP software products. This role is essential for ensuring that users, partners, and implementers can efficiently understand, configure, and deploy our ERP system.

You will work closely with Product Management, Engineering, and QA teams in an Agile development environment to produce comprehensive user guides, functional and technical documentation, and API references. You will also be responsible for maintaining a structured documentation repository, release notes, and training materials.

If you have a strong technical writing background, deep knowledge of ERP products, and a passion for making complex systems easy to understand, we'd look forward to hear from you!

Key Responsibilities

1. Documentation Development & Maintenance

• Create and maintain user manuals, functional guide, technical documentation, configuration guides, and implementation manuals for ERP products.
• Develop and update release notes for each product version, ensuring users are aware of new features, enhancements, and bug fixes.
• Produce API documentation for developers and integrators, explaining data models, endpoints, and workflows.
• Ensure content is structured, searchable, and aligned with industry best practices for ERP documentation.

2. Collaboration with Cross-Functional Teams

• Work in an Agile environment, collaborating with Product, Engineering, QA and Release teams to gather information and ensure documentation accuracy.
• Participate in sprint reviews, product demos, and requirement discussions to stay informed about upcoming changes.
• Gather feedback from users, partners, and implementation teams to continuously refine documentation.

3. Documentation Repository & Version Control

• Maintain a centralized documentation repository accessible to internal and external stakeholders.
• Use version control systems (Git, GitHub, or similar) to manage documentation updates alongside software releases.
• Ensure documentation for each release is properly categorized and maintained for historical reference.

4. ERP-Specific Focus Areas

• Document ERP modules such as Finance, Supply Chain, Procurement, HR, CRM, Manufacturing, and Inventory Management.
• Provide detailed process flows, configuration steps, best practices, and troubleshooting guides.
• Develop documentation to support ERP customization, integrations, and implementation methodologies.
• Work with SMEs (subject matter experts) to create training materials and knowledge base articles for ERP consultants and implementers.
• Define and enforce style guides, templates, and best practices to ensure consistency.
• Optimize documentation for readability, navigation, and SEO within the knowledge base.
• Explore interactive documentation formats (e.g., API playgrounds, markdown-based static sites).

6. Multimedia & Training Content

• Develop diagrams, flowcharts, and process maps to illustrate ERP system workflows.
• Create video-based tutorials and walkthroughs for ERP users and administrators.

Qualifications & Skills

1. Experience & Background

• 6+ years of experience in technical writing for ERP software products.
• Strong understanding of ERP system architecture, workflows, configurations, and implementation.
• Experience working in an Agile team alongside Product, Engineering, and QA teams.

2. Technical & Writing Skills

• Exceptional written communication skills, with the ability to simplify complex ERP concepts.
• Expertise in writing user guides, manuals, API documentation, release notes, and training materials.
• Strong understanding of data models, workflows, system configurations, and business processes within an ERP system.
• Familiarity with ERP integration, APIs, and SDK documentation.
• Knowledge of structured writing approaches (DITA, Markdown, reStructuredText, or AsciiDoc).

3. Tools & Technologies

• Documentation Tools: Confluence, MadCap Flare, Paligo, Adobe FrameMaker, Notion.
• ERP Documentation Platforms: ERPNext Docs, SAP Enable Now, Oracle UPK, or similar tools.
• API Documentation: Swagger (OpenAPI), Postman, Redocly.
• Version Control: Git, GitHub/GitLab for documentation tracking.
• Diagram & Multimedia Tools: Visio, Draw.io, Snagit, Camtasia, or similar tools.

4. Soft Skills

• Strong collaboration skills to work with Product Managers, Engineers, QA and Release teams.
• Ability to work independently and manage multiple documentation projects simultaneously.
• Attention to detail and a passion for clarity in writing.

Preferred Qualifications

• Experience with static site generators (Docusaurus, MkDocs, Jekyll, Hugo).
• Familiarity with ERP implementation methodologies.
• Previous experience in documenting multi-tenant SaaS ERP platforms.

job requisition id R

Post-Doc Position in Sanofi / WIDGET consortium

Expert in Biology, Molecular Biology, NGS & Single Cells

Abstract:

As part of the WIDGeT consortium (23M€, 5 years), we are currently researching a Postdoctoral candidate with a strong background in molecular biology and NGS for single cell application.

Overview of the research project:

The WIDGeT consortium (Viral Vector Intelligent Design for Gene Therapy) aims to accelerate the development of gene therapies using viral vectors derived from adeno-associated viruses (AAV) for the treatment of age-related macular degeneration and hereditary podocytopathies (kidney diseases), leveraging the potential of artificial intelligence (AI). As part of this challenging consortium, our team proposed to develop a new technology to provide very sensitive information of AAV’s transgene expression at the single cell level. This technology is based on droplet microfluidic, DNA barcoded, scRT-PCR and NGS.

Responsibilities:

1. Develop, design, and execute complex experiments and analyze data.
2. Write (Lab Book) and Present (PowerPoint) research findings.
3. Mentor and co-supervise engineer, technician and undergraduate students involved in the research project.
4. Report and collaborate with other members of the consortium.

Qualifications :

1. Ph.D. in biology or molecular biology
2. Strong Experience in Single-cell RNA sequencing
3. Strong background in molecular biology, NGS experiments and analysis.
4. Background in single cells experiment (10x, flow cytometer.)
5. Appetite for bench work & wet lab
6. Appetite for challenging project
7. Background in Bioinformatic
8. Familiarity with statistical software (Prism, Spotfire, other…)
9. Fluent in English
10. Excellent written and verbal communication skills.
11. Experience with Recombinant AAV is a plus.
12. Knowledge in organoids/tissues preparation is a plus.
13. Experience in screening is a plus.
14. Background in Droplet microfluidic is optional.

The Project Team:

A dedicated team was created in 2024 to tackle this challenging project. The team is composed of one researcher, one engineer and one technician.

The Lab:

Our innovative Team (~8 people) is based in Vitry-Sur-Seine (Suburbs of Paris) at Sanofi R&D site. We have two laboratories (L1 & L2) dedicated to droplet microfluidic technology, with access to diverse technologies (ARIA Fusion (FACS), PCR, qPCR and NextSeq Illumina).

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Sanofi

As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.

This research focuses on microstructural analysis of steels, involving:

• Phase identification in low-and high-grade steels under different heat treatments and mechanical processes.
• Crystallographic orientation mapping using electron backscatter diffraction (EBSD) to build a dataset for deep learning (DL) training.
• Selection and implementation of high-performance DL algorithms for phase recognition.
• Investigation of the correlation between microstructure and HE sensitivity.

Research Assistant (RA) position requirements:

We are seeking a highly qualified Research Assistant (RA) with a Master s or Ph.D. in Materials Science, Metallurgy, or a closely related field. Candidates with backgrounds in Mechanical Engineering (Materials Focus)/Physics (Crystallography)/Computer Science (AI/Deep Learning for Materials Science) may also be considered.

Main Responsibilities:

• Compiling and analyzing data.
• Authoring reports, including analysis reports, literature reviews, and final project reports.
• Developing machine learning models.
• Writing research papers related to project findings for potential publication.

Company Industry

• Education
• Training
• Teaching

Department / Functional Area

• R&D
• Research & Development

Keywords

• Research Assistant

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer
• SAS Certified Data Scientist