Staff Scientist Cloud Computing

We are currently searching for a Staff Scientist Cloud Computing candidates with expertise in setting up cloud computing environments, machine learning on the cloud, and deployment of machine learning models on the cloud. In particular, we plan to use Amazon Web Services (AWS). Having experience with AWS Sagemaker and Amazon Mechanical Turk is highly preferred. The incumbent will work closely with a team of computer scientists, engineers and radiology technologists and support post-doctoral and other trainees.  This is a full-time, on-site opportunity in Bethesda, MD.

• Set up and maintain a cloud computing environment on AWS for machine learning and deploying models on the cloud.
• Drive collection of new data and the refinement of existing data.
• Educate users in the use of the tools and reports.
• Provide integrated domain expertise across complex computational environments.
• Provide software recommendations and solutions across diverse scientific applications, including freeware relevant to analyses of scientific discovery.
• Provide support and consultation in the areas of scientific computation, application-development and computer modeling.
• Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment.
• Provide software solutions across diverse scientific applications including large and complex multi-component resources.
• Work with staff on the evolving infrastructure, data engineering pipeline, and data science stacks.
• Perform algorithm development and implementation.
• Manage data formatting input and output.
• Prepare data and analysis for presentations and publication.
• Prepare reports and offer solutions supporting ongoing needs assessment and strategic planning related to computer systems management and engineering.
• Provide documentation as required and participate in code reviews, planning sessions, and routine status meetings.
• Plan, organize and coordinate formal and informal IT related training and orientation of IT initiatives.
• Support and train users in applying data analysis pipelines and methods for research studies.
• Conduct educational courses on basic scientific computing, data analysis scripts and pipelines.
• Consult and collaborate with users to explain new tools and enable them to be adapted to meet specific research needs.
• Maintain computational infrastructure, including upgrading and configuration of hardware and software systems.
• Mitigate security vulnerabilities; remediate vulnerabilities and ensure that all the Operating Systems are hardened and up to date; administer firewalls, web servers, file servers and database servers.
• Independently monitor internal network systems, address system performance issues.
• Perform routine audits of tracking database and packages.
• Collaborate with staff to increase the productivity/efficiency of data analysis using high-performance computing.
• Create system documentation, electronic templates and examples, training materials and presentations.
• Develop dedicated and efficient computer software using state of the art computer science approaches, including modern programming languages and coed libraries, machine learning, cross-platform programming, and high-performance computing.
• Develop scripts to automate data processing pipelines.
• Manage a data storage and backup for scientific computers using available resources.

#SOAR

Qualifications:

• Bachelor’s degree in Computer Science, Information Sciences, Computer and Information Systems, or similar disclipine
• Between 2-10 years of experience
• Preferred, AWS Cloud Practitioner certification

Skills:

• Cloud Computing
• Machine Learning
• Scientific Data Analysis
• Scikit-learn
• Pytorch
• TensorFlow
• AWS Sagemaker
• Amazon Mechanical Turk

Dovel Technologies and its Family of Companies (Medical Science & Computing and Ace Info Solutions) was acquired in October 2021.

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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