Scientist jobs in Rockville, MD - 2,376 jobs

Manufactures cell and gene therapies for phase I and II clinical trials; (2) processes hematopoietic stem cell grafts for transplantation; (3) develops new cell therapies; (4) performs in-process and lot release testing of cell and gene therapies; (5) develops new assays to test cell and gene therapies; and (6) prepares chemistry, manufacturing, and controls (CMC) documents for investigational new drugs (IND) and summary data for annual reports to the Food and Drug Administration (FDA). ROLES / RESPONSIBILITES Build and optimize a robust cGMP compliant platform for generation, expansion and cryopreservation of autologous induced pluripotent stem cells (iPSCs) from peripheral blood derived CD34+ cells. Differentiate iPSCs to retinal pigment epithelial cells (RPE) to develop an iRPE patch for a phase I clinical trial to treat "dry" age related macular degeneration. Update and validate SOPs related to CD34 expansion, iPSC culturing, and RPE differentiation Manage a day to day operation of GMP facility Maintain iPSC colonies and freeze their early passages. GMP and aseptic culturing of iPCSs and differentiation of patient iPSCs into Retinal pigment epithelium (RPE) and maintenance of those RPE cultures. This work will include: Preparing media, supplements, and reagents needed cell culture work. Maintaining the cell culture room biosafety level 2 standards and maintaining aseptic conditions in cell culture flow hoods, incubators, and prepare sterile tools needed for work with cell cultures. The cell culture maintenance work will require working for short periods of times on the weekends and some holidays. Work to characterize the iPSC colonies for their pluripotency. This will require: Immunostaining of iPSCs, preparing RNA and cDNA from iPSCs, and Performing qRT-PCR assays. Additionally they will perform three germ layer assay based functional characterization of iPSCs. This work will also include any cell types that act as control for his iPSC work. Prepare regulatory documents for FDA and technology transfer Coordinate transfer of lab-technology to Good Manufacturing Practice (GMP suite) Develop Standard Operating Procedures (SOPs) with the Contract Research Organization (CRO) in relation to the cell therapy project. DESIRED BACKGROUND · Prior cell culture experience is required · Prior experience working in a cGMP environment is required

ERT is seeking a Chief Scientist with experience in meteorology or atmospheric sciences, or other earth sciences to support tasks at National Oceanic and Atmospheric Administration's (NOAA) Earth Prediction Innovation Center (EPIC). The primary objective will be to enhance the research-to-operations-to-research pipeline for the weather forecasting community with the goal of improving the overall accuracy and reliability of US National Weather Service weather models. All research and development will be guided by the NOAA open‑source science principles. Required Skills 15+ years of experience in position of increasing responsibility and leadership in the field of climate or earth systems science, weather modeling and forecasting, or a closely related discipline. Facility with the computational and technical operational components of handling and using earth systems data for large-scale forecasting. Must be able to pass a background investigation to obtain a security badge to enter the applicable government facility. Education MS degree in atmospheric science, earth science or closely related discipline. PhD preferred. Location This position supports work at NOAA's Silver Spring, MD facility with some telework permitted. Compensation The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills. Benefits All full‑time employees are eligible to participate in our flexible benefits package, which includes: Medical, Rx, Dental, and Vision Insurance 401(k) retirement plan with company‑matching 11 Paid Federal Government Holidays Paid Time Off (PTO) Basic Life & Supplemental Life Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts Short‑Term & Long‑Term Disability Employee assistance program (EAP) Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Professional Membership Reimbursement Employee Referral Program Competitive compensation plan Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance Publication and Conference Presentation Awards with bonuses ERT is a VEVRAA Federal Contractor and Equal Opportunity Employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. #J-18808-Ljbffr

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The LLM Customization team is on the cutting edge of GenAI and at the center of bringing our vision for AI at Capital One to life. The work of the AI Training Team touches every aspect of the model development life cycle and our deployed models in production drive business impact with visibility from our C‑Suite. Our team creates unprecedented amounts of high quality data for training and testing GenAI models; we care about how it's created, what's in those datasets, and the impact they have We are invested in building capabilities for evaluating and monitoring generative models; these methods must be state of the art, easy to use, and trusted by our users and contributors Horizontal capabilities enable vertical use case work; the team builds search, summarization, RAG, and agentic workflows for integration in production applications across the company We learn from our colleagues, attend conferences, publish papers, and maintain strong connections to the research community. In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state‑of‑the‑art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands‑on experience working with LLMs and solutions using open‑source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non‑technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as training optimization, self‑supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science New York, NY: $173,000 - $197,400 for Principal Associate, Data Science San Jose, CA: $173,000 - $197,400 for Principal Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations concerning criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑************ or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to **********************. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. Skills and attributes for success · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). To qualify for the role you must have · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies. Responsibilities: • Serve as PI or co-PI on government-funded R&D programs. • Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization. • Publish, present, and contribute thought leadership to the AI community. • Mentor research staff and guide proposal development. Requirements: • PhD with 7+ years of research experience. • Demonstrated leadership in ML, vision, or scientific computing. • Record of funding, publications, and technical impact. • U.S. Citizen or Permanent Resident. Preferred: • Experience with multimodal learning, uncertainty quantification, or causal inference. Why Novateur? Join a team that values creativity and initiative. At Novateur, you'll lead transformative projects that redefine what's possible in intelligent systems. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Data Scientist Indev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. Indev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)-including vacation and holiday pay. Your future duties and responsibilities: Data Analytics and Business Intelligence: Analyze large and complex data sets to uncover insights and support decision-making. Partner with stakeholders to define analytical needs and deliver actionable solutions. Develop and maintain data models to support advanced analytics initiatives. Data Visualization and Reporting: Design and create interactive dashboards and reports using Tableau. Present findings in a clear, concise manner tailored to both technical and non-technical audiences. Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. Work with relational databases (e.g., PostgreSQL, MySQL, NoSQL) to support data integrity and consistency. Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS) Cloud Technology Utilization: Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Ability to guide and support cloud modernization of data processes, including advanced AI/ML, automation, and governance technologies. Optimize cloud workflows for data access and analysis efficiency. Collaboration and Communication: Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. Clearly articulate analytical concepts and results to a wide range of audiences. Contribute to client-facing presentations and written reports. Required qualifications to be successful in this role: Bachelor's Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master's preferred) 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. Proficiency in Python for data manipulation and automation. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficiency with Tableau for creating dashboards and visual reports. Experience creating automated data workflows, analytics processes, and processing pipelines. Advanced knowledge of data visualization and reporting using a variety of software and tools. Familiarity with AWS Cloud environments and services for data processing and storage. Familiarity with DevOps practices, Agile methodologies, and modern software development environments. Familiarity with the entire software development process from end-to-end. Excellent oral and written communication skills, with the ability to present complex information clearly. Strong problem-solving and analytical thinking skills. Existing and active DHS EOD/clearance (ICE preferred). Additional preferred qualification: Strong knowledge of change management processes and technologies (e.g., GitHub) Experience modeling and analyzing large financial and operational data in cloud environments. Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end. Knowledge of federal data governance standards and compliance frameworks. Prior experience supporting federal government clients, especially DHS. Existing and active DHS EOD/clearance (ICE or TSA preferred). Clearance: Existing and active DHS EOD/clearance (ICE preferred). About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way technology solutions shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge, innovative technology solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. *************

General Description We are seeking a highly motivated materials scientist to lead the materials processing and additive manufacturing (AM) efforts at the JHU's Materials Characterization and Processing center (MCP), a multi-user shared instrumentation facility in the Department of Materials Science and Engineering (DMSE), Whiting School of Engineering. The position will report to the Executive Director of the MCP and will involve outward facing activities with the broader JHU community, including the School of Medicine, as well as the international electron microscopy community. This is a non-tenure track faculty position of the DMSE funded at 100% FTE. Responsibilities Oversee and operate advanced materials processing instruments at the MCP (A laser powder directed energy deposition, and an ultrasonic metal atomizer). Train users on measurement techniques, proper operation of instruments, and sample preparation. Provide technical expertise, consultation, and collaboration for user research projects. Develop, investigate, and apply new procedures, instrumentation, and techniques. Assist preparation of research proposals, scientific papers, and conference presentations. Perform equipment maintenance and repairs to maximize equipment performance and availability. Troubleshoot hardware and software. Coordinate repairs with vendors. Develop, implement, and update user training procedures, instrument operation procedures, and equipment maintenance procedures. Participate in acquisition efforts for capital equipment and instrumentation including preparation of instrument acquisition proposals. Ensures project compliance with different policies, procedures, directives, and mandates. Stay apprised of developments in experimental instrumentation and technology gaps in AM Development of novel AM processes. Performs other related work as needed. Qualifications A PhD degree in Materials Science and Engineering, Metallurgical Engineering, Materials Engineering or closely related field is required with experience in additive manufacturing Preferred Qualifications Knowledge of technical, operational, user training, and maintenance requirements of a shared core user research instrumentation facility. - Experience with laser powder directed energy deposition or cold spray technology. Experience with 3D printing, 3D modeling, CAD design, laser cutting, and digital fabrication technologies. Experience with training and providing support to users at a core facility. Experience with science outreach programs. Additional Opportunities - Participate in conferences and engage with MCP users and the broader scientific community - Other professional development opportunities Application Instructions Qualified applicants should submit a curriculum vitae, a brief research statement (not to exceed two pages), and a list of at least three professional references. Review of applications will begin as soon as possible. To apply for this position, visit: apply.interfolio.com/169374 Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: benefits-worklife/. Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at [emailprotected]. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. EEO is the Law: Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion. Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit coronavirus/covid-19-vaccine/ and all other JHU applicants should visit health-safety/covid-vaccination-information/. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Job ID 2025-13460 # of Openings 1 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time We are seeking a highly skilled and experienced Lead Quantitative Social Scientist to oversee and conduct two comprehensive, independent assessments for the Department of Veterans Affairs (VA). The successful candidate will lead data and methodology analysis for mental health care and suicide prevention programs, as mandated by the Clay Hunt Act and Hannon Act. The role will primarily focus on analyzing program effectiveness, cost-effectiveness, and veteran satisfaction to ensure compliance with Congressional requirements and delivering impactful insights for VA to use in its mission to prevent veteran suicides through a comprehensive public health approach. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Key Responsibilities: Lead Data Analysis: Utilize data provided by VA's Office of Mental Health (OMH) and Office of Suicide Prevention (OSP) to answer program evaluation and assessment questions, including but not limited to: Veterans Outcome Assessment (VOA):Annual assessments on symptoms, functioning, well-being, and experience of care from veterans starting a new mental health outpatient program, reassessed after three months. Satisfaction Surveys:Data from veterans on their satisfaction with VA and non-VA mental health care and experiences of care. Clinical Templates:Data from national templates such as evidence-based psychotherapies, records of suicide and overdose events, intensity levels for community-based care, and services provided during treatment. Performance Measures:Facility-level data from Strategic Analytics for Improvement and Learning measures and other measures within the Mental Health Information System, a collection of over 100 measures characterizing mental health treatment in the VA. NEPEC Data:Data collected by the Northeastern Program Evaluation Center or other VA program evaluation centers for program monitoring and evaluation purposes. Examine and analyze data across differences in target conditions, care intensity, medical and mental health comorbidities, demographics, and sex differences. Identify and address gaps in data quality and integrity, cleanse and manipulate data as necessary to ensure valid, reliable analysis. Review and validate analytical data sets to ensure they meet statistical validity and quality standards. Communicate any identified data inaccuracies or deficiencies to the VA and assist in determining additional data collection needs to address gaps. Program Evaluation: Independently evaluate mental health care and suicide prevention programs to measure effectiveness in achieving outcomes. Perform comparative analyses using internal (intra-Veteran) and external (inter-Veteran) data. Conduct sub-group analyses to determine relative effectiveness for specific veteran cohorts and identify service gaps. Develop predictive models to forecast program outcomes and identify key factors influencing success. Methodology Development: Develop evaluation plans incorporating human-centered design principles to understand user needs. Employ the CDC's Program Evaluation Framework and propose innovative statistical methods as necessary. Reassess business rules, cost estimates, and outcome measures for program evaluations. Reporting: Prepare annual evaluation reports, Congressionally Mandated Reports (CMR), and other supporting materials for the Clay Hunt Act and Staff Sergent Parker Gordon Fox Suicide Prevention Grants Program (SSG Fox SPGP). Propose best practices for mental health care and suicide prevention and document key barriers and facilitators to implementation. Ensure timely submission of deliverables with accurate and comprehensive analysis. Create advanced visualizations and dashboards using tools like Tableau, Power BI, or custom scripts to communicate complex data effectively. Stakeholder Engagement: Coordinate with VA program leads, stakeholders, and external partners for data acquisition, methodology vetting, and program insights. Conduct interviews and transition meetings as part of the discovery phase. Data Analyst Oversight: Supervise and provide direction to 1-2 Data Analysts, ensuring that analysis activities align with project requirements and objectives. Guide Data Analysts on appropriate methodologies to use for various analyses. Review and validate the work of Data Analysts to ensure accuracy and integrity. Provide mentorship and technical guidance to Data Analysts, fostering their professional growth and ensuring high-quality deliverables. Qualifications Minimum Qualifications: Master's degree in Political Science, Quantitative Methods, Public Policy, Psychology, or a related field. At least 5 years of experience in applied data science, program evaluation, and analytics. Proven track record in leading data science projects, especially in the federal space. Extensive experience with statistical analysis, hypothesis testing, experiential design, data management, and evaluating large-scale programs. Expertise in Python, R, SQL, and statistical analysis software (e.g., SAS, SPSS). Proficiency in deep learning, Bayesian models, and data visualization tools such as Tableau, Power BI, or similar for creating reports and dashboards. Strong background in quantitative deep learning frameworks such as TensorFlow and PyTorch. Experience in data cleansing and manipulation to ensure data usability and integrity. Exceptional problem-solving skills with a focus on client needs and federal compliance. Excellent communication and presentation abilities to effectively convey complex data insights to various audiences. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Ability to identify data quality issues, communicate gaps, and recommend additional data collection requirements. Strong interpersonal skills to collaborate with various stakeholders and team members. Demonstrated ability to generate actionable insights through in-depth analysis and translate findings into clear, concise, and impactful reports. Ability to pass a government background investigation, including financial, criminal, residential, educational, foreign affiliation, prohibited substance abuse, and employment verifications. Please note that only U.S. citizens are eligible for a suitability determination. Preferred Qualifications: PhD in Political Science, Quantitative Methods, Public Policy, Psychology, or a related field. Demonstrated experience evaluating Mental Health and Suicide Prevention programs. Understanding of VA evaluation frameworks and regulatory requirements. Experience working with federal contracts, especially within the Department of Veterans Affairs. Previous experience conducting independent assessments and drafting Congressionally Mandated Reports. Target salary range: $114,000 - $190,045 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. 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Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Washington, DC to: Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience. Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models' performance for fraud related business context. Improving the modeling process through MLOps and automation to drive efficiency and effectiveness. Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production. Managing model risks in line with Visa Model Risk Management requirements. Conducting modeling analysis to address internal and external clients' questions and requests. Position reports to the Washington, DC office and may allow for partial telecommuting. Qualifications Basic Qualifications: Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation. Position requires the following: Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost). Scripting in Python, Unix or Linux. Using SQL for extracting and aggregating data. Experience with Hadoop or related big data query engine such as PySpark or Scala Spark. Experience with Model Risk Management. Additional Information Worksite: Washington, DC This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements:This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

ECMC Foundation is a nationally focused foundation whose mission is to improve higher education for career success among underserved populations through evidence-based innovation. It is one of several affiliates under the ECMC Group enterprise based in Minneapolis. ECMC Foundation makes investments to remove barriers to postsecondary completion; build the capacity of organizations, institutions and systems; and transform the postsecondary ecosystem using a spectrum of funding structures, including strategic grantmaking and program-related investments, to support both nonprofit and for-profit ventures. Job Summary The Fellow will play a vital role in advancing the Foundation's North Star to eliminate gaps in postsecondary credential completion and expand economic and social mobility for underserved learners. This role is ideal for a policy-minded researcher or early-career professional interested in higher education systems, data-informed decision-making, and philanthropic impact. The Fellow will track state and federal policy developments, analyze education policy trends, design and execute research projects, and translate findings into actionable insights for internal teams and partners in the postsecondary education field. At their supervisors' discretion, the Fellow will co-develop special, time-bound projects that align with these specified tasks. This position offers a unique opportunity to gain experience at the intersection of policy, research, and philanthropy, working collaboratively across teams to inform strategy and amplify the Foundation's learning and impact. Essential Duties and Responsibilities Support the Foundation's implementation of a digital platformtotrackand integratestate and federalpolicyopportunitiesinto the Foundation'sgrantmakingstrategy. Analyze and synthesizeproposed and enacted policychanges to assess implications for students, institutions, systems, and ECMC Foundation's grantmaking strategy. Design, conduct, and interpret qualitative and quantitative research aligned with the Foundation's strategic framework. Work with large federal, state, and institutional datasets (e.g., IPEDS, NSC, Census, State Longitudinal Datasets) to support analysis of postsecondary access, persistence, and completion trends. Prepare data visualizations and write summaries that communicate findings clearly and persuasively to non-technical audiences. Support the design and facilitation ofteammeetings,learning sessions, and convenings, including producing invitations,pre-reads, briefings, and other materials that inform strategic discussions with internal and external stakeholders. Participate in Foundation-wide meetings by presenting, translating, and synthesizing learnings from Policy and Research team activities. Contribute to the effectuation of meeting follow-up items including pursuing additional insights regarding emergent questions and exploratory lines of research that might also inform strategic priorities. Translate complex research and policy findings into concise memos, reports, and presentations for diverse audiences. Perform other duties and responsibilities as assigned Required Qualifications Bachelor's Degree and actively pursuing a master's degree or a doctorate in higher education, public policy, economics, sociology, or a related field. 2+ years of professional experience in policy research, education administration, or government/policy roles. Strong research and analytical skills, with demonstrated ability to collect, interpret, and visualize data. Experience working with data tools or analytic software (e.g., Excel, R, Stata, Tableau, ArcGIS, Dedoose, NVivo, Atlas.TI). Familiarity with federal and state policy processes (gained through higher education or another sector or focal issue, e.g., early childcare development, K12, healthcare, community development), postsecondary systems, and student success frameworks. Familiarity with scholarly research repositories. Demonstrated project management skills and ability to meet deadlines in a collaborative environment under competing priorities. Excellent interpersonal skills and ability to communicate across teams and stakeholder groups. Exceptional writing and communication skills, with the ability to synthesize complex information for diverse audiences. Professional Development ECMCFoundation is committed to cultivating the professional growth of all team members. The Fellow will have access to a range of learning and mentoring opportunities designed to deepen knowledge, expand networks, and build long-term career capacity in higher education policy, research,and philanthropy. During the fellowship, the selected candidate will: Participate in structured mentorship with ECMC Foundation's senior leadership and Policy and Research team members. Attend internal learning sessions, strategy meetings, and external convenings to gain insight into philanthropic grantmaking, policy engagement, and systems change work. Receive ongoing feedback and coaching focused on leadership, communication, and analytical skills. Have opportunities torepresentthe Foundation in professional settings, including policy briefings, research forums, or cross-sector collaborations. Gain exposure to a national network of policy and researchexperts, foundation professionals, and education stakeholders. ECMC Foundation may choose to conduct reference checks as part of the hiring process. The hourly rate for this Fellow position is $35.00 per hour for graduate students. Fellows are expected to work 20-28 hours weekly throughout the duration of the fellowship program, which is targeted to be a one-year commitment. Please note this position is not eligible for benefits. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Title Physical Scientist Faculty Position Division Divison of Academic Affairs Department School of Computer, Mathematical & Natural Sciences Work Status Full Time Position Category Faculty Faculty Rank Open Rank FLSA Non-Exempt Pay Range Salary Range Assistant Professor $75,000 - $120,000; Associate Professor $80,000 - $130,000; Professor $95,000 - $170,000 (based on discipline) Fund Source State Support Job Summary We are seeking to hire a new faculty member at the assistant, associate, or full professor level whose research interests align with the mission of the Center for Urban and Coastal Climate Science Research. Salaries are competitive and include the State of Maryland benefits package. Job Duties * Establish independent, externally funded research programs. * Mentor and supervise postdoctoral researchers, graduate/undergraduate students, and research technicians. * Teach undergraduate and graduate courses. * Publish research findings in highly regarded peer-reviewed journals. Knowledge, Skills, Abilities & Other Characteristics Candidates should have a track record of research in physical processes governing atmospheric, coastal, oceanic or terrestrial systems related to climate change. The ideal candidate will have expertise in the patterns and trends related to key climate indicators such as temperature, precipitation, sea-level rise, extreme weather; a demonstrated ability to collect and apply empirical data in the development of physical and mathematical models understand and predict climate impacts on local, regional, national and global social/environmental climate systems; and experience using remote sensing technologies , and/or geographic information systems (GIS). Candidates who use large datasets to assess environmental change and variability, and integrate physical data with chemical, biological, and social science data to support comprehensive climate risk assessments, are strongly encouraged to apply. Required Minimum Qualifications * The successful candidate must possess a Doctorate in a relevant discipline from an accredited university. * Must have demonstrated potential to develop a dynamic, nationally-recognized, and externally-funded research program that involves publishing in highly regarded peer-reviewed scientific journals. * Experience and commitment to advancing climate and physical sciences research are essential. Other Preferences for Consideration

About Science and Technology Corporation (STC): Founded in 1979, Science and Technology Corporation (STC) provides award-winning scientific, engineering, and technical services to U.S. Government and industry partners. We are dedicated to advancing our customers' missions through innovation, trusted partnerships, and science-driven engineering excellence. With integrity and precision, we deliver reliable solutions that make a real impact. At STC, we invest in our employees' growth, well-being, and success-fostering a culture of respect, trust, and empowerment. Join our world-class team and help shape the future of science and technology. Employment Category: Full-Time Location: Greenbelt, MD - On-site with global collaborations Travel: Frequent (domestic & international field missions, scientific meetings) Security Clearance: None Citizenship: Requires U.S. Citizenship Salary: $130K - $175K Job Description: The Support Scientist IV will serve as a senior researcher under the ATMOS contract at NASA GSFC, leading major research efforts in atmospheric science. This includes computational modeling, instrument development, and analysis of large satellite datasets. The role requires collaboration with scientists across institutions and management of junior researchers. ATMOS is a NASA support services contract that provides advanced scientific, engineering, and technical expertise to enable Earth and space science missions. The program supports research, data analysis, technology development, and mission operations across multiple NASA centers. Through ATMOS, our teams deliver innovative solutions that help advance NASA's mission and expand scientific discovery. Key Responsibilities Include: Plan and direct scientific research tasks in atmospheric science. Lead development of computational models and instrumentation concepts. Publish extensively and represent NASA at international conferences. Mentor and oversee other scientists within project teams. Benefits: Paid Time Off Starting at 80 hrs/yr, 11 Federal holidays, and 40 hrs/yr Sick Leave 401K with up to 4% employer matching contribution Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Flexible spending account Health savings account Tuition reimbursement Requirements 10+ years of scientific research experience. 5+ years of leadership in scientific project management. Strong background in atmospheric science with proven publication record. Advanced programming expertise (FORTRAN, C/C++, Python). Education: Ph.D. in atmospheric science, physical science, mathematics, or computer science, or M.S. degree in one of the listed disciplines, plus ten years of experience relevant to the position. This experience is in addition to the experience required for the position level.

General Information Job Code: SHR-BI-05T Employee Type: Exempt, Full-Time Regular Telework: Ad hoc as determined by client Salary Range: $129,985.76 - $149,483.62 per year (how we pay and promote) Citizenship: U.S. Citizen as required by client Position Overview Are you passionate about managing information to drive innovation and impact? As a Applied AI Health Scientist supporting our client, you will play a pivotal role in shaping our success. This is a Science and Engineering and Technical Advisor (SETA) role in the Proactive Health Mission Office at the Advanced Research Projects Agency for Health (ARPA-H) responsible for providing expertise in artificial intelligence and machine learning to support a program advancing AI diagnostics for rare diseases. Successful candidates have the ability to critically assess technical approaches, advise program leadership, and ensure that funded performers and partners are meeting the highest standards of rigor, reproducibility, and real-world applicability. You will contribute expertise across the full lifecycle of AI system development: data aggregation and curation, model training and benchmarking, and deployment/validation in real-world clinical settings. Primary Responsibilities While not an exhaustive list, the key duties for the position include: Review and evaluate AI/ML technical proposals and deliverables from external teams. Provide guidance on model development, training methods, and validation strategies. Advise on integration of multimodal health data (EHR, imaging, genomic, and patient-reported). Assess alignment of model architectures and approaches with program goals and clinical use cases. Evaluate benchmarking results and provide feedback on methodological soundness. Advise on deployment considerations, including interpretability, reliability, and safety in real-world settings. Collaborate with clinical SMEs to ensure AI outputs align with clinician expectations and workflows. Identify risks, gaps, or weaknesses in technical approaches and recommend corrective actions. Support program leadership with technical assessments, reports, and recommendations. Produce high-quality written reports and presentations that synthesize complex technical findings for diverse audiences. Requirements Minimum Education and Experience: Master's degree in Computer Science, Machine Learning, Data Science, or related field. 10+ years of relevant professional experience. Basic Requirements: Experience applying advanced ML methods (LLMs, deep learning, etc) to complex health datasets. Familiarity with clinical and biomedical data types, including EHR, genomic, and imaging data. Demonstrated ability to review, critique, and guide AI/ML technical work at a high level. Strong understanding of evaluation methods for AI/ML, including robustness, fairness, interpretability, and reproducibility. Strong written and visual communication skills, with ability to produce high-quality reports and presentations. Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. Skills That Set You Apart: Experience in healthcare AI or biomedical applications. Familiarity with the rare disease field Prior involvement in technical advisory, evaluation, or SETA-style roles. Experience working with interdisciplinary teams including clinicians and patient stakeholders. Experience working in an early-stage, fast-paced, startup environment About Ripple Effect Ripple Effect is an award-winning women-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” since 2020, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. Benefits At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences. Learn more about our benefits and culture here.

Fiber Laser Scientist Herndon, VA While working as a Fiber Laser Scientist at Fibertek, you will lead the design and development, integration, and test of advanced fiber laser systems typically with performance requirements beyond the state-of-the-art. Fibertek is a leader in the design, development, and delivery of advanced laser systems and technologies for military and aerospace applications. Your Job We are looking for and experienced and motivated fiber laser scientist or engineer to join a multi-disciplinary team and lead the design and demonstration of advanced laser systems. Example focus missions include space-based laser communications, lidar for tactical defense applications, earth-sensing lidar, and navigational lidars for planetary and docking missions. Fibertek's engineering teams simultaneously tackle laser optical performance beyond state-of-the-art while engineering systems for performance on challenging platforms with limited size, mass, and power and over stressing vibration, thermal, and/or radiation conditions. Delivered systems make a national impact to customers at NASA and throughout the defense community. The work-load will at times include multiple concurrent projects with a mix of short duration research programs and longer duration technology maturation programs resulting in a work culture that is team-oriented, intellectually stimulating, and consistently rewarding. Lead the engineering development of unique laser designs through modeling fiber laser performance, design analysis, component specification, and hardware assembly, integration, and test Coordinate and support the build, alignment, and performance characterization of fiber lasers including multi-stage amplifiers, phase & amplitude modulation implementation, spectral and coherent beam combining Coordinate and perform formal acceptance and qualification testing Participate in customer interactions including formal technical reviews Required Skills and Experience To exceed in this Fiber Laser Scientist role, you'll need the below expertise and experience: MS or PhD in Physics or Optical Engineering w/ a minimum of 5 years of direct hands-on fiber laser experience including designing, building, characterizing laser systems Knowledge of the laser theory and industry best practices associated with fiber laser systems including continuous wave lasers, pulsed, high peak power fiber, advanced fiber architectures, single-frequency injection locked lasers, low frequency noise lasers, electrical and thermal sub-systems. Expertise in laser physics of fiber lasers and amplifiers, including ytterbium, erbium, and/or thulium gain materials. Familiarity with relevant nonlinear processes and impacts to laser performance. Examples include Stimulated Brillouin Scattering, Four-Wave Mixing, Stimulated Raman Scattering, and Transverse Modulational Instability. Foundational understanding of fiber-optic components including types of fibers, pump lasers, couplers, modulators, isolators, mode-field adapters, polarization components, and others. Knowledge of tools for modeling fiber laser performance such as Matlab, RP Power Fiber or equivalent software Ability to design and execute experiments validating laser system performance and correlate the results with the expected performance Strong communication and documentation skills for efficient multidisciplinary communication US citizenship required Please apply today for this full-time Herndon-based Fiber Laser Scientist role and join the leader in the development of state-of-the-art laser and electro-optic solutions. Why Fibertek, Inc? At FIBERTEK, Inc. we pride ourselves in our innovation and customer success focused culture enabled by a creative and relaxed work environment with minimal bureaucracy. Fibertek fosters a progressive learning environment that values inspiration, promotes professional challenge and encourages personal growth. We offer a competitive and incentivized compensation package with excellent benefits. Fibertek, Inc. is an equal opportunity and affirmative action employer. Applicants are considered regardless of race, sex, gender identity, sexual orientation, religion, national origin, disability, protected Veteran status, age or any other protected characteristic in accordance with applicable law. If you need assistance or an accommodation for any part of the application process, please contact us by phone at ************ or via email at ***************.

Data Scientist Systems Integration, Inc. (SII) is a leading provider of customer experience, data analytics and digital transformation solutions . We are seeking a highly skilled Machine Learning Scientist to help the FBI uncover actionable insights from vast and complex data sets. This role focuses on identifying enterprise-level toolsets, applying advanced data mining techniques, and building predictive models that integrate with FBI systems. The ideal candidate will be a strategic thinker with deep technical expertise and the ability to communicate findings clearly across all levels of the organization. Responsibilities: Select, build, and optimize machine learning classifiers using advanced techniques Apply state-of-the-art data mining methods to extract meaningful patterns Enhance data collection procedures to ensure relevance for analytic systems Cleanse, process, and validate data integrity for analysis Conduct ad-hoc analyses and present results in a clear, actionable format Develop and monitor automated anomaly detection systems Design innovative approaches for handling and analyzing large-scale data sets Address fundamental challenges in data handling, search, and retention Solve complex data storage and retrieval issues Develop software solutions to improve data search and access processes Analyze results and deliver recommendations that support mission objectives. Qualifications: Must be US Citizen Requires a Top-Secret clearance (SCI Poly may be required later). Strong understanding of machine learning algorithms (e.g., kNN, Naive Bayes, SVM, Decision Forests) Proficiency with data science toolkits such as R, Weka, NumPy, and MATLAB Excellent communication and presentation skills Experience with tools like Microsoft Power BI, Anaconda, and SPSS Skilled in data visualization using D3.js, GGplot, or similar platforms Proficient in SQL and Hive for querying large datasets Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase) Solid foundation in applied statistics (distributions, testing, regression) Strong scripting and programming capabilities. Minimum 5 years of experience supporting data-driven projects of similar scope. Bachelor's degree required in data science, statistics, computer science or related field.

Job Description About Tonix* Tonix is a fully integrated biotechnology company, publicly traded on NASDAQ (ticker: TNXP), with marketed products and a pipeline of development candidates The Company is focused on commercializing, developing, discovering, and licensing therapeutics to treat and prevent human disease. In August 2025, Tonix received FDA approval for Tonmya™ (cyclobenzaprine HCl sublingual tablets), a first-in-class, once-daily, non-opioid treatment for fibromyalgia. Tonmya is the first new fibromyalgia therapy approved in over 15 years, following successful Phase 3 trials demonstrating significant symptom improvement. Commercial launch is expected in the fourth quarter of 2025. Tonix also markets Zembrace SymTouch (sumatriptan injection) 3 mg and Tosymra (sumatriptan nasal spray) 10 mg, both indicated for the treatment of acute migraine with or without aura in adults. Tonix's development portfolio includes product candidates in central nervous system (CNS), immunology, immuno-oncology infectious disease and rare disease. The CNS pipeline features both small molecules and biologics to treat pain, neurologic, psychiatric, and addiction conditions. The immunology portfolio includes biologics to address organ transplant rejection, autoimmunity, and cancer. The infectious disease pipeline includes a vaccine in development to prevent smallpox and monkeypox, which also serves as a live virus vaccine platform for other infectious diseases. Finally, the rare disease portfolio includes a product in development for Prader-Willi syndrome, which has both orphan drug designation and rare pediatric disease designation grants from the FDA. Tonix owns and operates a state-of-the art infectious disease research facility in Frederick, Md. Please visit ******************* for specifics on the pipeline. *All of Tonix's product candidates are investigational new drugs or biologics and have not been approved for any indication. Position Overview Tonix Pharmaceuticals is seeking a highly motivated Associate Scientist to join our multidisciplinary R&D team at the Frederick Research & Development Center. This role integrates computational protein structure analysis with hands-on molecular biology and protein biochemistry. The successful candidate will contribute to host-directed therapeutic discovery, antiviral platforms, and vaccine design by combining AI/ML-based protein modeling with molecular biology and protein science to generate, express, and analyze protein targets. Key Responsibilities Perform protein structure modeling and design using platforms such as AlphaFold2/3, ESM, RFdiffusion, ProteinMPNN, and NetMHC. Build and refine bioinformatics workflows for large-scale sequence and structural analysis of host and viral proteins Perform molecular cloning, PCR, DNA and RNA isolation, bacterial transformation, and mutagenesis to generate expression constructs. Carry out protein expression and purification followed by protein characterization Collaborate with Tonix's imaging and cell biology teams to translate computational predictions into testable hypotheses in assays and animal models. Contribute to the development of user-friendly computational pipelines and visualization tools for internal scientists. Document and communicate results in reports, regulatory filings, and presentations to internal teams, collaborators, and external partners. Maintain awareness of emerging computational biology technologies to enhance Tonix's drug discovery capabilities. Required Qualifications B.S. or M.S. in Microbiology, Biochemistry, Bioinformatics, Computational Biology, or related field. Hands-on experience with protein structure prediction and computational protein design tools. Familiarity with core molecular biology and protein biochemistry methods (PCR, cloning, bacterial expression, Western blotting). Strong communication skills and ability to work in cross-functional teams within Tonix's integrated discovery pipeline. Preferred: Experience with cloud computing platforms (Google Cloud, AWS) for large-scale protein modeling. Exposure to machine learning approaches in protein design and immunology. Prior experience with protein engineering for therapeutic applications. Track record of contributions to publications, posters, or conference presentations. Proficiency in Python, especially ML/AI packages. Experience in Linux operating systems and shell programming is desirable. Recruitment & Staffing Agencies Tonix does not accept agency resumes unless contacted directly by internal Tonix Talent Acquisition. Please do not forward resumes to Tonix employees or any other company location; Tonix is not responsible for any fees related to unsolicited resumes. Compensation & Benefits Annualized base salary ranges from $60,000 to $90,000 plus target incentive; actual salaries will vary and may be above or below this range commensurate with several factors including experience, education, training, location, and merit. Tonix provides a comprehensive compensation and benefits package which includes: Medical, Dental & Vision Insurance, Basic and Voluntary Life and AD&D Insurance, Short- and Long-Term Disability Insurance, Flexible Spending Accounts, Health Savings Account, and Employee Assistance Programs Pet Insurance Retirement Savings 401k with company match and annual discretionary stock options Generous Paid Time Off, Sick Time, & Paid Holidays Career Development and Training Tonix provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, genetics, or any other characteristic protected by law. In addition to federal law requirements, Tonix complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, and training. Tonix expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic, information, disability, veteran status, or any other characteristic protected by law.

Job DescriptionVulnerability Researcher / Exploit Developer At REDLattice, we are a global leader in providing differentiated cyber products and services. As we continue to evolve in a rapidly changing cyber landscape, REDLattice is seeking an experienced Mobile Vulnerability Researcher/ / Exploit Developer with a strong background in Computer Network Operations (CNO) and software development. We are driven by impactful and innovative projects that contribute directly to safeguarding our country and our strategic partners. Our teams are engaged in advanced vulnerability research and cyber solutions that meet the complex demands of our mission. With offices in Northern Virginia, Melbourne, Florida, Tel Aviv, Israel, and other locations, we are expanding rapidly to support the evolving needs of our customers and partners. Position Overview: REDLattice is seeking a seasoned Exploit Developer and Vulnerability Researcher with deep experience in Linux kernel development, reverse engineering, and offensive cyber operations. This role is ideal for professionals who thrive in low-level systems work and have supported organizations like USCYBERCOM or MARFORCYBER, contributing directly to Offensive Cyberspace Operations (OCO). Key Responsibilities: Conduct in-depth vulnerability research and exploit development across modern operating systems and architectures Reverse engineer binaries using tools such as IDA Pro, Ghidra, or Binary Ninja to identify novel attack surfaces and develop proof-of-concept capabilities Leverage knowledge of Linux kernels, SELinux, and AppArmor to develop and test exploits in hardened environments Collaborate with Cyber Mission Force (CMF) development teams to support OCO mission requirements Apply advanced understanding of exploit mitigations (ASLR, DEP, PXN, Stack Canaries, etc.) to bypass protections and deliver reliable results Work closely with capability developers and mission leads to design and refine modular, operationally-relevant cyber capabilities Document research findings, proof-of-concepts, and technical workflows in support of mission deliverables Required Qualifications: Active TS/SCI clearance with polygraph Bachelor's degree in Computer Science, Software Engineering, or related technical field (Master's preferred) 10+ years of experience in exploit research and development Strong background in reverse engineering, Linux kernel development, and low-level systems programming Experience with C/C++, Assembly, and Python (preferred) Familiarity with common exploit mitigations and bypass techniques Operational knowledge of USCYBERCOM/MARFORCYBER CMF development processes and methodologies (preferred) Technical Skills: Vulnerability Analysis & Exploit Development Reverse Engineering Tools: IDA Pro, Ghidra, Binary Ninja Kernel & Low-level OS Development Deep Linux internals knowledge (SELinux, AppArmor) Familiarity with mitigations: ASLR, DEP, PXN, Stack Canaries Programming Languages: C/C++, Assembly, Python (preferred) Why REDLattice: At REDLattice, we don't just follow the cyber landscape - we define it. You'll work with some of the most talented offensive cyber professionals in the field, directly impacting mission success and national defense. We offer competitive salaries, comprehensive benefits, and unmatched opportunities for growth and innovation. How to Apply: Interested candidates should submit their resume via our web site ************************************ REDLattice is an equal-opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of race, color, religion, gender, age, national origin, veteran status, disability, or any other protected status.

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************ We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well. Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset. Job Description • BioProcess Engineering (BPE) department is responsible for scale up, tech transfer, and facility fit of clinical and commercial processes to manufacturing. BPE is also responsible for producing development drug substance material and data from pilot facilities. Members of Development Scale-up Center (DSC), within BPE, produce materials up to 500L scale for toxicology and process development studies, to confirm process performance and to troubleshoot issues in GMP facility, and work with cross functional team on technology evaluations. • This position is focused on upstream cell culture and fermentation processes supporting scalability and production of therapeutic proteins in DSC. Position is a hands-on laboratory and production-based role. Responsibilities include but are not limited to media preparations, routine sub-culturing of cells and fermentations. The candidate will assist in adaptation of transferred information for scale-up processes from late stage development to DSC as well as assisting in the production of various tox and development materials, troubleshooting and resolving technical issues with the production processes and/or equipment, identifying root causes for deviations, implementing corrective/preventative actions, assisting in implementing new technologies, and trending/analyzing data. • The candidate will assist in compiling data and expected to summarize and assist in interpreting results. The candidate will also maintain production and laboratory equipment. Qualifications Education: • Bachelor of Science (BS) or Master of Science (MS) in scientific, engineering or related field. Experience: • For the RA, we require a BS with 2 - 5 years or a MS with 0 - 2 years of relevant experience. • For the AS, we require a BS with a minimum of 5 years or MS with a minimum of 2 years of relevant experience. Additional Information Special Skills/ Abilities • Hands on proficiency in cell culture and/or fermentation and good aseptic techniques. Bioreactor/fermenter operation experience is preferred. • Good documentation, writing and communication skills in a team based setting are essential.

Come join our family! Microbac Laboratories is an essential business offering competitive pay and benefits including medical, dental, vision, life insurance, disability, generous paid time off including vacation, holidays and flex-time, a wellness program, referral bonus, tuition reimbursement and more! Whether you are just starting your career in science or looking to further it, Microbac will put you on the path of an exciting career with room to grow. Quality, safety, giving back to our communities, diversity and inclusion, customer success and employee wellbeing are part of our core culture. We are looking for motivated individuals to join our family as an Associate Scientist I. ABOUT MICROBAC Microbac Laboratories, Inc. is a premier commercial laboratory testing firm that partners with clients worldwide, offering laboratory solutions to the life science, food and nutrition, and environmental industries and serves our clients with the utmost expertise and respect for their market requirements, constraints, and challenges. We embody a company-wide commitment to exceptional customer experience, which has been refined over nearly 50 years of trusted, analytical and measurement experience. Through our network of laboratories, offices, and field services, we have the flexibility to meet the unique requirements for each client, project, and scope. As a privately held third-party testing company, Microbac operates with a commitment to safety, quality, and compliance. Our diverse work portfolio includes broad accreditation offerings and tested insights across the environmental, food and nutrition and life science markets. JOB SUMMARY The Associate Scientist I, working in an accredited commercial laboratory, is responsible for assisting with the conduct of microbiological assays and associated activities to determine antimicrobial efficacy of household and commercial cleaning products. ESSENTIAL FUNCTIONS: Following established SOP's and adhering to state, federal and other accrediting body requirements, collect information about the antimicrobial properties of substances/samples to support the analytical testing needs of our clients for such purposes as quantitative or qualitative analysis, and product development Perform laboratory housekeeping duties to include autoclaving and glassware processing Prepare necessary standards, solutions, reagents, media, etc., required for sample analyses Perform equipment and instrumentation set up Operate basic and specialized laboratory instrumentation Prepare and analyze samples Accurately record observations and data and interpret results Assists in the development and validation of new analytical methods Assists in the development of new laboratory procedures Assist department supervisors and managers with staff training Sign off on final certificates of analysis Contribute to writing, editing, and reviewing SOP's Monitor and address sample backlog issues Perform peer review of data to ensure accuracy Maintain accurate, up to date logs, notebooks, and equipment records Perform necessary laboratory administrative functions such as filing paperwork, photocopying, reviewing of data, and entering data into computerized LIMS Comply with and promote Personnel, Safety, and Quality Program MINIMUM REQUIREMENTS: Bachelor's degree from a four-year accredited institution in a related field of applied science Prior analytical testing experience Above average knowledge of principles, terminology, practices, techniques, and instrumentation commonly used in a laboratory setting Ability to interpret data and prepare reports Ability to effectively prioritize work and manage time to meet deadlines and rush orders Computer literacy Ability to work with delicate laboratory equipment Ability to communicate effectively in both written and verbal formats WORKING CONDITIONS AND PHYSICAL REQUIREMENTS: The physical demands and working conditions described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Requirements: While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel objects, tools; talk or hear. The employee is required to stand, walk, and sit. The employee must regularly lift and/or move up to 25 pounds. Specific vision abilities required by this job include color vision and depth perception. Working Conditions: While performing the duties of this job, the employee will be in a general laboratory and office environment. The noise level in the work environment is usually moderate. This job may require travel less than 20% As a privately held third-party testing company, Microbac operates with a commitment to safety, quality and compliance. Our diverse work portfolio includes broad accreditation offerings and tested insights across the environmental, food and life science markets. OTHER: This is not an exhaustive list of all duties an employee may be required to perform. Microbac reserves the right to revise the job description at any time. Employment is at-will. Microbac, promotes a drug-free, alcohol-free workplace. Applicants considered for hire must pass a drug test before beginning work. Refusal to submit to testing will result in disqualification of further employment consideration. Microbac is an Equal Opportunity Employer - We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. All qualified applicants will receive consideration for employment.