45 Scientists jobs in Gaithersburg

• Develop software drivers
• Develop software applications
• Process digital signals
• Develop Client/server applications
• Analyze and implement Legacy and current processor technology
• Analyze and implement Operating systems, architectures, and interfaces
• Develop code using Assembly and high-level programming languages
• Reverse engineer software/code
• Develop embedded software
• Communicate status of work
• Peer review software
• Moderate software peer reviews
• Lead a Software development team and ensure work is completed in accordance with the - constraints of the technical process being used on any particular project
• Communicate plans and progress, identify potential problems, and recommend viable solutions

• Python, C, C++, Lynx
• Integrated product experience
• Product life cycle management

• Computer Scientist Level 1 requires a Bachelor's degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 3-5 years of experience in software and firmware design, development, and test.
• Computer Scientist Level 2 requires a Bachelor's degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 5-10 years of experience in software and firmware design, development, and test.
• Computer Scientist Level 3 requires a Bachelor's degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 10+ years of experience in software and firmware design, development, and test.
• Four (4) years of additional experience in software and firmware design, development, and test may be substituted for a bachelor's degree.
• A master's degree in a relevant field of expertise may be substituted for two (2) years of experience.

• Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
• Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
• Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
• Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
• Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
• Ensure the accuracy, integrity, and security of data throughout the analysis process.
• Stay current with industry trends and tools in data science, analytics, and emerging technologies.
• Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.

• Minimum of bachelor's degree in data science, Statistics, Computer Science, Mathematics, or a related field. Master's degree is required for senior level roles.
• 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
• Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
• Experience working with large and complex datasets from multiple sources.
• Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
• Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
• Ability to manage multiple priorities in a fast-paced, mission-focused environment.
• Active security clearance or the ability to obtain one may be required depending on the position.
• Prior experience and knowledge of defense agencies and their technology policies.

ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service.

Interested in joining ANSER as a Data Scientist or Data Analyst? We'd still love to connect with you! Please send us your resume, and we'll keep your information on file for future opportunities that align with your background and skills. As a Data Scientist or Data Analyst at ANSER, you'll work alongside multidisciplinary teams to analyze complex datasets, generate actionable insights, and support mission-critical decisions for government clients, internal stakeholders, and external partners. Most roles are based in the greater Northern Virginia and Washington, D.C. area and require on-site work five days a week. Some positions may offer hybrid or remote options, but this is determined case by case and is not typical for most roles.

General Day-to-Day Responsibilities:

• Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
• Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
• Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
• Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
• Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
• Ensure the accuracy, integrity, and security of data throughout the analysis process.
• Stay current with industry trends and tools in data science, analytics, and emerging technologies.
• Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.

General Required Qualifications:

• Minimum of bachelor's degree in data science, Statistics, Computer Science, Mathematics, or a related field. Master's degree is required for senior level roles.
• 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
• Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
• Experience working with large and complex datasets from multiple sources.
• Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
• Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
• Ability to manage multiple priorities in a fast-paced, mission-focused environment.
• Active security clearance or the ability to obtain one may be required depending on the position.
• Prior experience and knowledge of defense agencies and their technology policies.

In compliance with the Americans with Disabilities Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call or e-mail ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, veteran status, sexual orientation, or any other characteristic protected by law.

Who We Are
Stanley Reid is your one-stop shop for connecting with top contractors and exciting IC/DoD opportunities. We're a team of experts who go beyond just finding jobs, providing personalized guidance to match your unique skills and goals to the perfect fit. Our focus? A stress-free job search for you. Let's chat and unlock your career potential!

About Our Client
Our client, established in 2012, is a leader in providing top-notch IT solutions for critical government clients that defend national security. They tackle challenging projects across various tech domains, including enterprise software, data analytics, DevOps, Cloud, AI/ML, and cybersecurity. They understand the importance of flexibility, offering remote work options on multiple contracts and a culture that respects your personal time. Competitive salaries, over 5 weeks of PTO, direct 401k contributions, comprehensive health insurance, and bonuses make this an incredibly rewarding place to work. If you're looking for a company that invests in the success of your career and well being, our client might be the perfect fit.

The Role
We are seeking a highly motivated Senior Cryptanalytic Computer Scientist to join our client's team in Fort Meade, MD. This is a full-time, experienced-level position offering an exciting opportunity to support a U.S. Government customer and contribute to their analytics and innovation team. You will be immersed in challenging work with a supportive team of brilliant engineers, with opportunities for personalized training and growth. Base salaries range from $140k to $200kwith full benefits and potential for a sign-on bonus.

What You'll Bring
11 years of experience plus a Bachelor's degree in computer science (or related field).
Ability to work well independently and collaboratively within a team with strong communication skills.

Required Key Skills:
Experience working within an analytics and innovation team.
Strong proficiency in Python.
Experience with customer APIs and dataflow.
Proven experience in analytics maintenance and development.

Clearance Requirements
U.S. Citizenship and an active or re-instatable TS/SCI with Polygraph security clearance is REQUIRED (no clearance upgrades or CCAs, uncleared or under-cleared applicants will not receive a response).

Location
Fort Meade, MD

Ready for next steps?
Apply online at or contact our MD team for more info: ,

We look forward to exploring opportunities with you!

Please note: We are constantly expanding our network of opportunities and do our best to keep our openings current as they open and close. We encourage you to apply and connect with us even if a directly matching role isn't currently listed (or available), as new opportunities arise frequently. Due to the large volume of applications we receive daily, we are not able to individually follow-up to confirm receipt of submitted information or provide other status updates. You will hear from us if there is a match!

Posted on (04/30/2025)

• Design, conduct, and manage agricultural research experiments in both field and controlled environments.
• Collect, analyze, and interpret complex data using appropriate statistical methods.
• Develop and test innovative agricultural practices and technologies.
• Prepare high-quality research reports, scientific publications, and presentations.
• Collaborate with other scientists, extension specialists, and stakeholders.
• Stay current with the latest advancements in agricultural science and sustainable farming.
• Contribute to grant writing and funding proposals.
• Provide technical guidance and support to farming communities and partner organizations.
• Ensure all research activities comply with safety and ethical guidelines.
• Maintain detailed records of research protocols and results.

• Ph.D. in Agronomy, Plant Science, Soil Science, Agricultural Engineering, or a closely related field.
• Minimum of 2-4 years of post-doctoral or relevant research experience.
• Proven experience in designing and executing agricultural field and laboratory experiments.
• Strong proficiency in statistical analysis software (e.g., R, SAS, SPSS).
• Demonstrated record of publishing in peer-reviewed scientific journals.
• Excellent written and verbal communication skills, including presentation abilities.
• Ability to work independently and manage multiple research projects simultaneously.
• Strong problem-solving skills and a meticulous approach to research.
• Knowledge of sustainable agricultural practices and climate change impacts on agriculture.
• Willingness to travel for field work, conferences, and stakeholder meetings.

• Design, plan, and execute complex laboratory experiments in molecular biology, cell biology, and biochemistry to support drug discovery and development programs.
• Analyze and interpret experimental data, meticulously documenting findings and presenting results in team meetings and scientific forums.
• Develop and optimize novel assays and experimental methodologies to address specific research questions and improve throughput.
• Collaborate cross-functionally with other research teams, including pharmacology, chemistry, and bioinformatics, to ensure integrated project progression.
• Maintain detailed laboratory notebooks and electronic records, ensuring data integrity and adherence to quality control standards.
• Troubleshoot experimental challenges and propose innovative solutions to overcome technical hurdles.
• Stay abreast of current scientific literature, emerging technologies, and industry trends to inform research strategies and methodologies.
• Prepare scientific reports, presentations, and contribute to the drafting of patents and publications.

• Ph.D. in Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related scientific discipline.
• Minimum of 2-5 years of post-doctoral or industry experience in biotechnology or pharmaceutical research.
• Extensive hands-on experience with a wide range of laboratory techniques, including but not limited to cell culture, CRISPR/Cas9, Western blotting, qPCR, ELISA, flow cytometry, and microscopy.
• Proficiency in data analysis software (e.g., GraphPad Prism, R, Python) and bioinformatics tools.
• Demonstrated ability to design independent experiments, critically evaluate data, and troubleshoot technical issues.
• Strong publication record in peer-reviewed journals is a plus.
• Excellent written and verbal communication skills, with the ability to present complex scientific information clearly and concisely.
• Highly organized, detail-oriented, and capable of managing multiple projects simultaneously in a fast-paced environment.

• Lead and manage independent research projects from conception to completion, including experimental design, data collection, analysis, and interpretation.
• Supervise, train, and mentor a team of junior scientists, postdoctoral fellows, and research assistants, fostering their professional development.
• Prepare and submit grant proposals to secure external funding for research initiatives.
• Publish research findings in high-impact peer-reviewed scientific journals and present at national and international conferences.
• Collaborate with internal and external partners, including academic institutions, industry collaborators, and government agencies.
• Ensure compliance with all ethical guidelines, safety protocols, and regulatory requirements in research activities.
• Manage laboratory resources, including equipment, supplies, and budget, to optimize research productivity.
• Stay abreast of the latest scientific literature, emerging technologies, and research methodologies relevant to the field.
• Contribute to the intellectual property development of the institution.
• Participate in departmental meetings, seminars, and scientific discussions, contributing to the overall intellectual vibrancy of the research environment.
• Develop and validate new experimental techniques and assays.

• Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Neuroscience, Materials Science, Computer Science).
• Minimum of 7-10 years of postdoctoral or industry research experience, with a strong publication record in reputable journals.
• Demonstrated experience in leading research projects and managing a research team.
• Proven ability to secure competitive research grants (e.g., NIH, NSF, DoD).
• Expertise in advanced research methodologies and instrumentation relevant to their field.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with experience presenting complex scientific data.
• Ability to work independently and collaboratively in a fast-paced, multidisciplinary research setting.
• Strong organizational skills and attention to detail.

• Experience in interdisciplinary research.
• Patents or technology transfer experience.
• A track record of successful mentorship.

• Conduct independent and collaborative research in AI, machine learning, and deep learning, focusing on developing innovative solutions to challenging problems.
• Design, implement, and evaluate new AI algorithms and models, leveraging state-of-the-art techniques.
• Develop and refine experimental methodologies for validating AI model performance and robustness.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with a diverse team of researchers, engineers, and domain experts.
• Stay abreast of the latest advancements in AI, machine learning, and related fields.
• Translate complex research concepts into clear presentations and technical reports.
• Contribute to the strategic direction of AI research initiatives within the company.
• Participate in grant proposals and external collaborations.
• Mentor junior researchers and interns as needed.
• Work on transitioning successful research prototypes into scalable production systems.
• Contribute to the company's intellectual property portfolio through patent applications.

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, or a closely related quantitative field.
• Minimum of 2-5 years of post-doctoral or industry research experience in AI/ML.
• Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
• Expertise in at least one major AI subfield (e.g., NLP, Computer Vision, Reinforcement Learning, Generative Models).
• Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
• Solid understanding of mathematical foundations of machine learning (linear algebra, calculus, probability, statistics).
• Experience with large datasets and distributed computing environments.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional written and verbal communication abilities, capable of presenting complex ideas clearly.

• Experience with specific AI applications (e.g., autonomous systems, medical imaging, financial modeling).
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.
• Open-source contributions or personal research projects.