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The National Cancer Institute (NCI), National Institutes of Health (NIH) is seeking a talented Data Scientist to join the CCR High-Throughput Imaging Facility (HiTIF) as a Staff Scientist. We have demonstrated a successful record in developing cutting-edge computational workflows on high-performance CPU and GPU batch clusters on the NIH Biowulf High-Performance Computing (HPC) cluster to study biological pathways involved in genome architecture, chromatin regulation, the DNA damage response, cancer, and aging, among others. HiTIF is expanding its data science capabilities to support the growing need for advanced single-cell analysis of images generated by NCI light microscopy cores. The Staff Scientist will work closely with multidisciplinary teams, collaborating with researchers and other data analysts at HiTIF, and principal investigators, to derive biological insights from complex imaging datasets. The successful candidate will be proficient in data visualization, statistical modeling, machine learning, and deep learning techniques.
Mission focus is on developing next-gen tools for detecting cyber-attacks, enhancing network resilience, and improving small-form factor sensor systems while maintaining a focus on cutting-edge technologies like machine learning and software-defined networking.. We are seeking highly skilled and motivated Senior and Principal Research Scientists to join our team working on cutting-edge projects within the domains of Radio Frequency Machine Learning (RFML), Digital Signal Processing (DSP), and/or Software Defined Radio (SDR).. Utilizing modern machine learning frameworks (e.g., Keras, Tensorflow, Pytorch) to develop innovative solutions.. Developing, implementing, and analyzing signal processing and wireless communication techniques using Matlab, Python, and C/C. Familiarity with modern machine learning development frameworks.
Xometry is looking for a Senior Machine Learning Engineer to join our growing organization.. Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow). Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Traumatic brain injury
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.. Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management. Bachelor's degree in Operations Research, Applied Mathematics, or Data Science. Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
As a biometric identity intelligence analyst on our team, you’ll explore new data sources, create effective queries, and combine information from disparate sources to help your client address digital forensic challenges. This is a chance to grow your expertise and broaden your skillset into areas like digital forensics, media exploitation, and unconstrained biometric analysis. Experience with computer forensics principles, file systems, and forensics tools.. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection. Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges.
This position is HYBRID. The Data Engineer will design, develop, and maintain a data analytics platform solution, focusing on creating new use cases through Databricks programming within the healthcare data domain.. Design, build, and maintain large, complex data processing pipelines that meet business requirements.. Experience in architecture, design, and implementation using Databricks and Azure Data Factory.. Experience working with Databricks (preferred).. Keywords: Data Engineer, Data Developer, Data Manager, Pyspark, Python, Apache Spark, Azure, Azure Data Lake 2, Azure Data Factory, Spark, Databricks, Python, Spark SQL, Data Lakes, Data warehouse, Data Pipelines, Agile Methodology, Data Processing Pipeline, Troubleshooting, Automation, Unit testing, Integration Testing
Zachary Piper Solutions is seeking a SharePoint Developer for a long-term, classified program for a government customer in Annapolis Junction, Md. As a SharePoint Developer your primary duties will involve the ongoing maintenance and regular updating of multiple SharePoint sites, with the aim of creating a more unified and user-friendly online environment.. · At least 4 years of experience as a Sharepoint developer. · Experience with (any/all of the following) Unix/Linux, Oracle, Python, Java, Java Script, C/C. · Technical understanding of big data concepts, cloud technologies such as AWS, Hadoop, and strong trouble shooting skills.. · Familiarity with Machine Learning / Artificial Intelligence concepts is highly desired.
Job Description:We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks.. The Level 3 Data Scientist shall possess the following capabilities:Employ some combination (2 or more) of the following skill areas:Foundations: Mathematical, Computational, StatisticalData Processing: Data management and curation, data description and visualization, workflow and reproducibilityModeling, Inference, and Prediction: Data modeling and assessment, domain-specific. data structures, data mining, artificial intelligence).. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.. Must Have a TS/SCI with Full Scope Poly. Accept CCA's.
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.. This role offers invaluable hands-on experience and exposure to the work life at NIH.. DevSecOps and MLOps. Have a strong interest in Artificial Intelligence (AI)/ Machine Learning (ML) and Large Language Models (LLMs)
Data Scientist 3 Job Description: We are seeking a Data Scientist to provide advanced discovery support utilizing machine learning, analytical prototyping, scripting, automation, data visualization, statistical analysis, and TechSIGINT tools.. You will be performing mass data analytics, data processing, and modeling utilizing all available SIGINT. This role is very team-based, and you will collaborate with TDNAs, DSs, and fellow SMEs. SIGDEV or RF (HF, VHF, UHF, SATCOM) experience are nice to haves.. Jupyter Notebooks & Python experience, data modeling experience leveraging various algorithms, and data visualization skills are required.. data structures, data mining, artificial intelligence).. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
Black Canyon Consulting (BCC) is currently searching for a Program Planning and Development Manager to support our work at the Lister Hill National Center for Biomedical Communications at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is part-time with BCC and it is on-site in Bethesda, MD and/or remote. Masters, Ph. D., or equivalent degree(s) in informatics, data science, or clinical research. Documented research experience demonstrating familiarity with artificial intelligence and machine learning approaches in biomedical informatics research. Facilitate communication and collaborative efforts with other Institute components, other ICs, DHHS agencies, and external research institutions and organizations.
As a key member of the development team, you will be responsible for designing, implementing, and maintaining scalable, high-performance solutions in the cloud.. - Strong expertise in AWS cloud services, including but not limited to EC2, Lambda, S3, RDS, and CloudFormation.. - Experience with machine learning or AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).. - Understanding of data processing and storage solutions (e.g., SQL, NoSQL, Redshift).. - AWS Certified Solutions Architect - Associate or equivalent certification.
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics. The surveillances and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes. The successful candidate will be responsible for delivering reporting and dashboard solutions to stakeholders across Legal and Compliance Division's (LCD) Enterprise Non-Financial Risk (NFR) department.
Today's dynamic global security threats require solutions both big and small - solutions living within the Northrop Grumman Microelectronics Center (NGMC).. Boasting state-of-the-art design capabilities, multiple processing nodes, electrical testing, environmental and QCI screening, and failure analysis, the NGMC is a leader in designing, fabricating, packaging, and delivering discriminating microelectronics to the military, aerospace, and commercial markets.. For more than 70 years, we have been offering a wide range of trusted foundry and semiconductor services that deliver high performing and reliable microelectronics.. Microelectronics | Northrop Grumman One of our most challenging new fields is Microelectronics Design and Applications (MDA), which combines the unique properties of superconductivity and quantum mechanics to develop radical new energy-efficient computing systems.. MDA is seeking a Data Science Software Engineer with demonstrated ability to lead development of new technologies to support our innovative MDA team in support of emerging supercomputing technologies.
Top Secret SCI Clearance with appropriate Polygraph Required. 4+ years of experience with automation technologies (e.g. Puppet, Ansible, Chef). Experience with distributed computing technologies (e.g. Hadoop, Spark, Kafka). Any certifications from Cloudera, Red Hat, Amazon Web Services or Security+. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures.
CACI has an opening for a Data Scientist providing support/services to Department of Defense under the ROYALBREW contract at Fort Meade, MD.. Apply data science methods and techniques, such as machine learning, statistical modeling, and artificial intelligence to measure and improve results.. Analyze large amounts of information to discover trends and patterns; build predictive models and machine-learning algorithms; combine models through ensemble modeling; present information using data visualization techniques; propose solutions and strategies to business challenges; collaborate with engineering and product development teams.. Python, R, QLIK, etc. Working knowledge of ADVANA, the Jupiter enclave, QLIK Sense (or similar data visualization tool like Tableau), and Databricks.
This team will leverage data as a key asset to accelerate technology transfer and simplify validation processes, support continuous improvement for established commercial processes, and enhance technical understanding of biopharmaceutical manufacturing.. Lead a team of scientist and engineering to provide sound data analysis through several statistical methods in support of deviations, investigations and RCA. Experience biopharmaceutical manufacturing (upstream / downstream) is required. Familiarity and experience with relational databases, statistical software (i.e. SAS, SIMCA, JMP or WebStatistica), modeling and visualization software (i.e. Python, R, Matlab, MS Power). Experience with manufacturing / engineering environments including systems such as IP-21, M-ERP, LIMS, Aspen eBRs
Description Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.. Requirements Bachelor's Degree with 10 years of relevant experience, Associates degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.. Employ must have some combination (2 or more) of the following skill areas: Data Processing: Data management and curation, data description and visualization, workflow and reproducibility
We’re looking for an AI/Autonomy Engineer with a passion for modern machine learning and generative models to help shape the next evolution of how autonomous vehicles perceive, reason, and act. Leverage GPU acceleration (CUDA, TensorRT) to optimize models for real-time inference.. and Python; CUDA experience preferred.. Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Exposure to robotics frameworks (e.g., ROS2), simulation tools (CARLA, Isaac Sim), or autonomous systems
At Relativity, we're building a world-class Applied Science team to push the boundaries of intelligent systems in the legal domain.. Our Applied Science team are the brains behind Relativity aiR, the most scalable workflows in legal tech-automating decision-making in document review, privilege detection, and case strategy.. These aren't just LLM wrappers; they're intelligent systems that reason, cite their thought process, and operate at scale across millions of documents.. Be it a decision tree or a frontier LLM.. Strong Python Programmer, experienced in various data and machine learning libraries (e.g. numpy, pytorch, scikit-learn, pyspark)