5 Computational Methods Jobs

The Senior Data Analyst role is crucial in identifying business needs and creating analytical tools and methods to drive effective outcomes for specific business requests in the field of Data Analytics. Your responsibilities will involve gathering and analyzing business requirements, monitoring emerging technology trends, specifying data structures, designing data flow, implementing guidelines for data handling, and developing solution blueprints to meet business needs. You will also be responsible for managing stakeholder expectations, developing test strategies, identifying digitization opportunities, and applying advanced computational methods to enable systems to learn and produce desired outcomes. To excel in this role, you must have a Bachelor's degree in Science, Technology, or Computer Applications along with a Master's degree in the respective fields. You should possess 5 to 10 years of experience in data analysis and deployment of analytical tools, with a focus on business use cases. If you are someone who thrives in a data-driven environment, enjoys working with cutting-edge technologies, and is passionate about driving business success through data and analytics, then this position is tailored for you. Join our team and be at the forefront of transforming data into actionable insights for the organization's growth and success.,

A postdoctoral position is available at the National University of Singapore in the research group of Dr. Seyed Ehsan Saffari, Assistant Professor. The focus of the position is on developing and validating advanced artificial intelligence (AI) and machine learning (ML) assessment tools for Parkinson's disease risk prediction. The successful candidate will be involved in working with large-scale multi-center clinical datasets, integrating machine learning, statistics, and healthcare. The ideal candidate should hold a PhD in Statistics, Machine Learning, Computer Science, or a related field. They should have demonstrated experience in implementing various machine learning models, such as supervised, unsupervised, and deep learning approaches. Proficiency in quantitative analysis, computational methods, and programming languages like Python and R is required. A strong publication record and excellent communication skills are essential. The ability to collaborate effectively in a team setting is also important. Experience in supervising PhD students or mentoring junior researchers would be an advantage. The initial appointment for this position is for 1 year, with a possibility of extension based on funding availability. The successful candidate will receive a competitive salary and benefits package, which includes a housing allowance and medical insurance. Funding support will be provided for attending international conferences and workshops. Additionally, the candidate will have access to a dynamic and collaborative research environment with opportunities for professional development. Interested candidates are required to submit a CV and cover letter to ehsan.saffari@duke-nus.edu.sg. When applying, please use the subject line: [Your Family Name]-Postdoc-DUKETTSH-PD-AI. Get the latest job openings in your field and preferred country straight to your email inbox by signing up for a 14-day free trial at https://phdfinder.com/register.,

The Bioinformatics Scientist position requires a candidate with expertise in single-cell transcriptomics and multi-omics analysis to develop AI-driven solutions using Elucidatas platform. As a Bioinformatics Scientist, you will be responsible for utilizing your knowledge of biology and computational methods to analyze omics data, extract valuable insights, and assist clients in solving complex biological challenges. This role is suitable for individuals who excel at the convergence of biology, data science, and client engagement, possessing strong communication abilities and a dedication to advancing life science research through data. Your primary responsibilities will include interpreting biological problem statements and multi-omics data to create compelling scientific presentations and scalable solutions. You will be expected to analyze various biological data types (genomics, transcriptomics, proteomics, metabolomics) using advanced statistical techniques, with a specific emphasis on single-cell transcriptomics. Additionally, you will play a key role in innovating and enhancing tools, pipelines, and algorithms for multi-omics data analysis and visualization. Collaborating with a diverse team of ML specialists, data scientists, and bioinformatics engineers, you will translate customer needs into innovative solutions while working closely with technical owners and solution managers to drive account growth and maintain customer relationships. The ideal candidate should hold a PhD or Master's degree in Bioinformatics, Computational Biology, Biotechnology, or a related technical field, with proven experience in processing and analyzing multi-omics data, particularly single-cell transcriptomics data. Proficiency in programming languages like Python or R is essential, along with practical experience in applying computational algorithms and statistical methods to large and varied data sets. A successful track record of collaboration and individual work, coupled with excellent communication and presentation skills, are also crucial for this role. Desirable qualifications for this position include familiarity with cloud technologies and scalable computing platforms, as well as experience in AI/ML applications for biomedical data analysis and prior involvement in customer collaboration and project delivery.,

The Senior Business Analyst in the Data & Analytics department in Mumbai plays a crucial role in identifying business needs, building analytical tools, developing test strategies, and supporting different teams in delivering business outcomes. The primary job purpose is to identify and scope business requirements by gathering and analyzing information effectively to facilitate the delivery of solutions, initiatives, and programs. Designing analytics techniques to meet present and future business needs is a key responsibility, along with a robust understanding of data and necessary fields for analysis. The role involves mapping analytical frameworks with available data and developing test strategies and procedures to ensure solutions meet design specifications. Additionally, selecting and applying algorithms and advanced computational methods to enable system improvements and desired outcomes are integral to the position. The Senior Business Analyst is expected to approach situations innovatively, challenge the status quo for continuous improvement, and drive positive changes within the organization. The individual should demonstrate a strong drive to achieve goals, recognize interrelationships in business activities, and contribute to the broader vision of the department. As part of the managerial and leadership responsibilities, the Senior Business Analyst leads a team of Business Analysts in model development, containerization, and building deployment pipelines for new models. The role involves leading and implementing projects from inception to completion, focusing on automated deployment and optimizing performance. Success in this role is measured by the successful development and deployment of analytical tools and effective utilization in various business use cases.,

As a Data Analyst within the New Age Data & Analytics department, your primary objective will be to acquire a profound understanding of the business operations. Your role will involve identifying opportunities where analytical solutions can be leveraged to enhance decision-making processes and drive positive business outcomes. This position encompasses both technical and functional aspects, offering you the chance to engage closely with business stakeholders and explore innovative analytical methodologies. Your responsibilities will include scoping business requirements and priorities by thoroughly analyzing the retail portfolio. You will be expected to develop expertise in data analysis to extract valuable insights from various data sources, including source systems and data marts. Designing and implementing analytical solutions tailored to meet business needs will be a crucial part of your role. In this role, you will be encouraged to explore cutting-edge algorithms and advanced computational techniques to create robust models and analytical frameworks. Conducting case reviews to introduce innovative variable ideas and establishing processes and controls to ensure the accuracy of data, analyses, and recommendations will be essential tasks. Additionally, understanding model governance principles and tracking key model and variable metrics will be part of your responsibilities. You will be expected to challenge the status quo to drive efficiency in existing processes and foster strong relationships with multiple stakeholder teams to facilitate collaboration and achieve consensus on outcomes. Understanding the broader impact of analytical solutions on business outcomes will be a key aspect of your role. Key Result Areas for this position include developing robust analytical solutions and models, timely project delivery, and establishing effective partnerships with key stakeholders. To qualify for this role, you should hold a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA). Additionally, a Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be advantageous. The ideal candidate should have 2 to 5 years of relevant experience in the field of data analysis. Your role as a Data Analyst presents an exciting opportunity to contribute to the strategic goals of the organization through data-driven insights and innovative analytical solutions.,