196 Scientific Research & Development jobs in Pakistan

We are looking for a Technical Writer to produce high-quality documentation that contributes to the overall success of our products. You will join a team of talented tech writers who work collaboratively with developers, quality engineers, product managers, and usability experts to make our products easier to use.

• Work with internal teams to obtain an in-depth understanding of the product and the documentation requirements
• Produce high-quality documentation that meets applicable standards and is appropriate for its intended audience
• Write easy-to-understand user interface text, online help, and developer guides
• Create tutorials to help end-users use a variety of applications
• Analyze existing and potential content, focusing on reuse and single-sourcing opportunities
• Create and maintain the information architecture

• Proven working experience in technical writing of software documentation
• Ability to deliver high-quality documentation paying attention to detail
• Ability to quickly grasp complex technical concepts and make them easily understandable in text and pictures
• Excellent written skills in English
• Strong working knowledge of Microsoft Office
• Basic familiarity with the SDLC and software development
• University degree in Computer Science, Engineering, or equivalent preferred

• Conduct applied and theoretical research in AI
• Prototype and test new algorithms
• Publish research and present findings internally
• Collaborate on transitioning research into production
• Contribute to the strategic direction of AI R&D
  
  

• PhD in AI, ML, Computer Science, or related field
• Strong publication record in AI conferences/journals
• Deep expertise in ML, DL, and advanced math/stats
• Familiarity with scientific programming and simulation tools
  
  

• Conduct applied and theoretical research in AI
• Prototype and test new algorithms
• Publish research and present findings internally
• Collaborate on transitioning research into production
• Contribute to the strategic direction of AI R&D
  
  

• PhD in AI, ML, Computer Science, or related field
• Strong publication record in AI conferences/journals
• Deep expertise in ML, DL, and advanced math/stats
• Familiarity with scientific programming and simulation tools
  
  

• Lead the design and implementation of end-to-end data science projects, from defining business problems to deploying advanced machine learning models at scale.
• Architect and build predictive models, statistical algorithms, and machine learning systems to solve complex business challenges and enhance decision-making
• Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team
• Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends
• Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams
• Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs
• Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives
• Present complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance
• Drive the design and execution of experiments, A/B tests, and statistical analyses to measure and optimize the impact of data-driven decisions.
• Ensure compliance with regulatory requirements, data security, and governance protocols when building scalable data science solutions.
• Understand client needs and provide tailored, strategic solutions that align with business objectives
• Build strong relationships by clearly communicating technical concepts and managing expectations
• Actively participate in recruiting top technical talent for the team
• Collaborate with the sales team in presales activities, identifying client needs, providing technical expertise, and crafting data-driven solutions to meet business requirements
• Define and implement data strategies to support exploration, drilling, and production business goals
• Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems)
• Ensure data accuracy, consistency, and security while adhering to industry compliance standards
• Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimization)
• Develop algorithms for seismic data interpretation, reservoir characterization, and well-performance forecasting
• Optimize workflows using natural language processing (NLP) for unstructured data, such as drilling reports and maintenance logs
• Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities
• Utilize geospatial analysis and geostatistical techniques to interpret geological and geophysical data
• Implement real-time data analytics for drilling, well monitoring, and production enhancement
• Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation
• Drive automation of repetitive tasks using advanced scripting and machine learning pipelines.
• Mentor junior data scientists and engineers, fostering a culture of innovation and excellence
• Collaborate with engineers, geophysicists, and reservoir managers to translate business challenges into data science solutions
• Communicate technical findings to non-technical stakeholders through visualizations and reports
• Develop optimization models for energy efficiency, cost reduction, and supply chain logistics
• Enhance drilling accuracy and reduce downtime through predictive analytics for equipment maintenance
• Implement risk assessment models to improve safety and compliance standards
• Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis
• Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark)
• Hands-on experience with visualization tools like Power BI, Tableau, or D3.js
• Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton’s Decision Space.
  
  

• Advanced degree (master's or PhD) in Data Science, Computer Science, or a related field.
• 7+ years of experience in data science
• Demonstrated success in leading data-driven projects
• Deep knowledge of machine learning and statistical modelling
• Strong programming and data engineering skills.
• Excellent problem-solving and communication abilities
• Proven track record of innovation in multiple industries
  
  

Join us to apply for the PhD Data Partner - Biology - Asia role at TELUS Digital AI Data Solutions .

Are you ready to use your domain knowledge to advance AI? Join us as a Data Partner and work remotely with flexible hours. We are seeking a highly knowledgeable Subject Matter Expert to design advanced, domain-specific questions and solutions. The role involves creating challenging problem sets that test deep reasoning and expertise in the assigned field.

TELUS Digital AI Community

Our global AI Community is a vibrant network of over 1 million contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.

Key Responsibilities:

• Develop complex, original question-and-answer pairs based on advanced topics in your area of expertise.
• Ensure questions involve multi-step problem-solving and critical thinking.
• Provide detailed, clear solutions that meet high academic standards.
• Collaborate with cross-functional teams to refine and enhance content.

Qualifications:

• Doctorate/PhD degree in Biology is essential.
• Strong proficiency in English writing with excellent grammar, clarity, and the ability to explain complex concepts concisely.

Assessment:

Applicants will undergo a subject-specific qualification exam and ID verification to determine suitability for the position.