• Lead the development of study designs, budgets, and proposals as Principal Investigator, with full accountability for scientific and operational delivery • Review and approve all deliverables for client review (e.g., protocols, qualitative and quantitative research reports, qualitative and statistical analysis plans, and regulatory briefing documents) • Effectively lead Research Associates and junior staff throughout projects • Communicate with internal and external partners (e.g., vendors, patient advocacy groups, other departments) • Lead the selection, development, and validation of COAs, including PROs, ClinROs, ObsROs, and PerfOs, in line with regulatory and scientific best practices • Oversee data analysis strategy and ensure data quality control standards are met, including qualitative coding frameworks and psychometric evaluation • Lead scientific dissemination, where applicable (e.g., manuscripts, posters, oral presentations at conferences) • Ensure accurate and timely recording of project time on a weekly basis • Contribute to strategic initiatives and/or research projects, depending on capacity and priorities

Role Description GITI is seeking a Principal Scientist to serve as the senior technical authority on an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Principal Scientist leads independent, hands-on analysis of NDF (Network Description File) sensor datasets, provides technical direction across parallel research threads, and serves as the primary technical advisor to the government sponsor. The role spans the full research lifecycle: - Formulating hypotheses - Writing and executing analytical code in Python and Jupyter notebooks - Interpreting and validating results - Communicating findings to both technical peers and non-specialist stakeholders This is a deeply technical, hands-on position — the Principal Scientist conducts analysis directly and does not delegate technical work as a substitute for personal proficiency. The candidate will work within a small, distributed team operating in air-gapped Linux environments on resource-constrained tactical edge hardware, with no cloud computing. Qualifications - 10+ years of hands-on applied R&D experience in RF systems, signals intelligence, electronic warfare, or related domains. - Proven ability to quickly acquire domain knowledge; specifically in the areas of wireless digital communications and military techniques, tactics, and procedures. - Demonstrated ability to independently develop and execute data analyses in Python or equivalent tools on real sensor datasets; must be capable of writing production-quality analytical code, not merely directing others to do so. - Experience addressing common problems with large quantities of real-world data, such as imputation, noise, bias, and errors. - Track record of working effectively on constrained-hardware edge systems — no cloud, no discrete GPU — with attention to computational efficiency and multi-core, multi-thread performance on x86 platforms. Requirements - Expert-level career professional recognized as a technical authority in RF systems, signals intelligence, or a closely related applied domain. - Exercises broad independent judgment in defining research approach, evaluating methods, and interpreting results. - Operates with minimal supervision; accountable for the scientific integrity and practical relevance of program research outputs. - Advanced degree (MS or PhD) with 10+ years of hands-on applied R&D experience. Desired Skills - Deep familiarity with RF signal characteristics, sensor phenomenology, and the interpretation of passive receiver data — including recognition of processing artifacts, attribution ambiguities, and the limits of sensor-derived measurements. - Hands-on experience applying machine learning — particularly metric learning, deep learning networks, or similarity-learning architectures — to RF or time-series signal data, including feature engineering, training pipeline development, and model validation. - Familiarity with TDMA network protocols, emitter identification techniques (CID/PID), and the signal processing challenges of dense, contested electromagnetic environments. - Experience with interferometric direction-finding, TDOA geolocation, or related passive geolocation methods, including practical knowledge of their failure modes and accuracy limitations. - Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware. - Background in statistical signal processing — error ellipses, bearing estimation uncertainty, feature reliability under noise — with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization. Relevant Certifications - Professional certifications in data science, signal processing, or related technical fields. - Advanced academic credentials (PhD, MS) in a relevant quantitative discipline are strongly preferred and may substitute for certifications.

Title: Research Scientist, Biostatistics and Biomedical Informatics for Population Health Sciences (Hybrid Location: Oak Ridge, TN, US, 37830 Workplace: Full Time Department: Science Job Description: Requisition Id 16160 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Research Scientist position for health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute. We work on some of the most challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. We have a collaborative environment focusing on designing, implementing, and applying robust and high performance applications for biomedical research. You will have the opportunity to focus on developing new deep learning approaches and foundation models for multi-modal biomedical data in collaboration with partners at the National Cancer Institute, Cincinnati Children’s Health, and the US Department of Veterans Affairs. More information about the collaboration can be found at https://datascience.cancer.gov/collaborations/nci-department-energy-collaborations; https://www.cincinnatichildrens.org/research/divisions/d/decoding-mental-health/programs/mental-health-trajectories; https://www.olcf.ornl.gov/2019/08/29/ornl-va-collaboration-targets-veteran-suicide-epidemic/. This position requires novel thinking, collaboration, and discovery in finding innovative approaches for analyzing massive and sophisticated data, collaborating with worldwide experts, and publishing groundbreaking results. Major Duties and Responsibilities: You will be responsible for: - Participating in and leading research projects in biostatistics, AI, and DL with applications to health sciences - Developing translational solutions for population precision health and precision medicine - Integrating research in biostatistics, AI, and ML with high performance computing systems - Preparing manuscripts and dissemination of research results in publications and conferences. - Working in secure enclaves and open computing environments on a wide variety of applied areas. - Conducting tasks independently and communicate effectively to team members and stakeholders. - Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. Basic Qualifications: - PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. - Experience with multi-modal learning across modalities such as text, tabular, genetic, environmental, wearable, or image data. - Strong publication record in medical and/or biomedical informatics related journals and conferences Preferred Qualifications: - Experience in developing and applying biostatistics, AI, and ML-based solutions to healthcare data - Experience with population level electronic health data - Experience leading diverse teams of biomedical researchers - Grant writing experience - Experience with high performance computing (HPC) and deep learning frameworks like PyTorch - Experience developing parallel algorithms and scalable workflows for HPC resources. - Experience with large language models, natural language processing, and generative AI tools - Self-disciplined work ethic and eagerness to tackle challenging research problems. - Experience with heath care informatics and clinical data is highly desired. Benefits at ORNL: ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position. Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

Role Description We are seeking a highly motivated Field Service & Applications Scientist (m/f/d) to support advanced microscopy systems used in neuroscience and other research environments across Europe. This is a field-based, customer-facing role combining system installation, maintenance, and troubleshooting, while also incorporating a meaningful applications support component focused on imaging workflows. The role offers an excellent opportunity for candidates with a strong scientific background to transition into an applied, high-impact position supporting cutting-edge research. The position is location-flexible within the EU, provided there is good access to international travel. The role requires extensive travel across Europe (typically 60–70%). An extended technical and applications training program, including time at Bruker manufacturing and training sites (initially in the United States and/or Europe), will be provided to ensure the successful candidate develops strong service, applications, and customer support capabilities before taking full independent field responsibility. Responsibilities - Support the installation, qualification, maintenance, and repair of multiphoton microscopy systems at customer sites across Europe. - Diagnose and resolve optical, laser, electronic, mechanical, and software-related issues with guidance from colleagues. - Perform preventative maintenance, system calibrations, and performance checks following defined procedures. - Support of additional microscope products will be added after mastery of the multiphoton line. - Provide remote technical support. - Accurately document service activities in the service management system. - Support neuroscience imaging applications, including in vivo and ex vivo brain imaging, functional imaging, calcium/voltage indicators, and deep-tissue multiphoton experiments. - Assist customers with basic system optimization and experimental setups relevant to their research goals. - Apply scientific knowledge to help interpret imaging performance and offer practical recommendations. - Collaborate closely with senior service engineers, applications scientists, and R&D teams. - Communicate technical and scientific information to researchers with varying levels of experience. - Build professional, long-term relationships with customers through reliable, thoughtful support. - Share customer feedback and field insights with internal teams. Qualifications - Ph.D. in Neuroscience, Biomedical Engineering, Physics, Optics, or a closely related discipline (recent graduates encouraged to apply). - Hands-on experience with multiphoton (two-photon) microscopy. - Strong interest in applied technology, instrumentation, and transitioning into a field-based role. - Solid understanding of biological imaging techniques and experimental workflows. - Willingness and ability to travel extensively across Europe (typically 60-70%). - Willingness and ability to participate in extended training in the United States. - Fluency in English; additional European languages are advantageous. - Valid driving license and ability to work independently following training. Preferred Qualifications - Experience with laser-based or advanced optical systems. - Experience with in vivo imaging or animal research environments. - Familiarity with imaging and data analysis tools such as ImageJ/Fiji, MATLAB, Python, and microscope control software. - Demonstrated interest in technical support, scientific instrumentation, and applied science roles. Skills & Competencies - Strong analytical thinking and problem-solving ability. - Ability to learn complex technical systems quickly. - Clear and professional communication skills. - Customer-focused and service-oriented mindset. - Well organized, dependable, and self-motivated. - Comfortable combining scientific knowledge with practical, hands-on work. Company Description Bruker is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker’s high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in life science molecular and cell biology research, in applied and pharma applications, in microscopy and nanoanalysis, as well as in industrial applications. Today, worldwide more than 11,000 employees (more than 2000 employees in R&D) are working on this permanent challenge, at over 90 locations on all continents.