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Phd Science Jobs in Silver Spring, MD (NOW HIRING)

Syneos Health

Medical Science Liaison

Washington, DC · On-site

$175 - $187.50/hr

PharmD or PhD, DNP, or MD required. * 2 or more years' clinical experience anti‑infective or urology experience. * MSL or Medical Affairs experience preferred. * Evidence of established, strong ...

VTG

Data Scientist

Mclean, VA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

VTG

Data Scientist

Chantilly, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

VTG

Data Scientist

Herndon, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Guidehouse

Science Writer

Bethesda, MD · On-site

$85K - $141K/yr

Ability to Obtain Public Trust We are seeking a Science Writer to support the National Institutes ... PhD preferred * Experience working at the NIH The annual salary range for this position is $85,000 ...

Guidehouse

Science Writer

Bethesda, MD · Hybrid

$85K - $141K/yr

Ability to Obtain Public Trust We are seeking a Science Writer to support the National Institutes ... PhD preferred * Experience working at the NIH The annual salary range for this position is $85,000 ...

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All JobsPhd Science JobsPhd Science Jobs in Silver Spring, MD

Phd Science information

See Silver Spring, MD salary details

$25.3K

$50K

$81.7K

How much do phd science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for phd science in Silver Spring, MD is $50,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $53,800.00 per year, depending on experience, location, and employer.

What is a PhD in science?

A PhD in Science is the highest academic degree awarded in scientific fields such as biology, chemistry, physics, or environmental science. It typically involves several years of advanced coursework, followed by original research that contributes new knowledge to the field. Graduates must defend a dissertation before a panel of experts. Earning a PhD in Science prepares individuals for careers in academia, research, industry, and leadership roles within scientific organizations.

What are the key skills and qualifications needed to thrive as a PhD scientist?

To thrive as a PhD Scientist, you need advanced expertise in your scientific discipline, strong research skills, and a doctoral degree (PhD) in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as R or Python), and publication processes is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for presenting complex findings and collaborating with peers. These skills and qualifications are crucial for driving innovative research, producing publishable results, and contributing to scientific advancement.

What are the typical career advancement paths for someone with a PhD in science in academia and industry?

Individuals with a PhD in Science often start in postdoctoral or entry-level research positions, where they build specialized expertise and publish their findings. In academia, advancement typically involves progressing to assistant, associate, and full professor roles, with additional opportunities to lead research groups or departments. In industry, PhD holders can move into senior scientist, project manager, or R&D director roles, with the potential to transition into leadership, policy, or consulting positions. Building a strong professional network, publishing impactful research, and developing leadership skills are key to advancing in both sectors.

What is the difference between Phd Science vs Data Scientist?

AspectPhd ScienceData Scientist
Required CredentialsPhD in a scientific field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch roles, scientific analysis, product developmentData analysis, machine learning, predictive modeling

While both roles involve analytical skills and data handling, Phd Science focuses on scientific research and experimentation, often in academic or R&D settings. Data Scientists primarily analyze large datasets to inform business decisions and develop models in industry environments. The key difference lies in their application areas and typical work environments.

Is a PhD worth it in science?

A PhD in science is valuable for careers in research, academia, and specialized industry roles that require advanced expertise and critical thinking skills. However, it often involves several years of study and research, and job prospects can vary depending on the field and geographic location. The decision to pursue a PhD should consider personal career goals and the demand for advanced scientific skills in the job market.

What can a PhD in science get you?

A PhD in science can lead to careers in research, academia, industry, or government, often involving roles such as scientist, researcher, or professor. It demonstrates advanced expertise and critical thinking skills, and may require additional certifications or experience depending on the field and position.

What is the salary of a PhD scientist?

The salary of a PhD scientist varies depending on the industry, experience, and location, but typically ranges from $70,000 to over $120,000 annually. Advanced skills, research experience, and specialized knowledge can lead to higher compensation, especially in biotech, pharmaceuticals, or research institutions.

What jobs can I do with a PhD in science?

A PhD in science qualifies individuals for research scientist, university professor, laboratory manager, or scientific consultant roles. These positions often require strong analytical skills, familiarity with laboratory tools, and the ability to conduct independent research or teach at higher education institutions.

What job categories do people searching Phd Science jobs in Silver Spring, MD look for?

The top searched job categories for Phd Science jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Phd Science jobs?

Cities near Silver Spring, MD with the most Phd Science job openings:

Phd Science jobs near you
Infographic showing various Phd Science job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $50,025 per year, or $24.1 per hour.

2026 PhD Graduate - Algorithm Researcher - Artificial Intelligence, Machine Learning, and Informatio

Johns Hopkins University AppliedPhysicsLaboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Description
Do you have experience developing AI/ML algorithms OR a graduate-level research background in data fusion and/or distributed control?
Do you thrive in a research environment, working alongside an energetic team of scientists and engineers?
Are you ready to help the US secure and maintain leadership in the development and fielding of algorithms for defense systems?
If you are graduating with a PhD degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related field, we are looking for someone like you to join our team at APL!
We are seeking a highly motivated researcher who will contribute to all phases of the development process. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.
Duties
As a member of the Information Fusion and Artificial Intelligence group you will ...
  • Research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
  • Interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
  • Prepare and present technical evaluations of algorithms to a broad audience that includes both decision makers as well as technical peers.
  • Interact with external sponsors to discuss technical solutions and influence decision-makers.
  • Serve as an internally recognized subject matter expert in one or more technical areas related to information fusion OR Artificial Intelligence.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Computer Science, Engineering, Mathematics, Statistics, Physics or related field
  • Have 2+ years of experience in the machine learning and data science fields; OR completed and have a strong interest in linear algebra, calculus, stochastic processes, detection and estimation theory, information theory, or related coursework
  • Are fluent in Python or MATLAB, with the ability to translate mathematical concepts into well-documented and efficient code
  • Have excellent time management skills and can effectively communicate ideas and results
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have 4+ years of experience in designing and implementing algorithms involving one or more of the following: classification, clustering, deep learning, decision making, AI explainability, stochastic processes, detection and estimation theory, information theory, Bayesian inference of time varying systems, tracking and data fusion (e.g., KF, MHT, IMM, etc.)
  • Have demonstrated experience in working with version control software like Git
  • Have experience developing AI/ML research prototypes in code, using one or more of scikit-learn, Tensorflow, PyTorch, or similar machine learning frameworks in Python.
  • Have experience using high-performance computing structures like GPUs and CPU clusters.
  • Willingness to travel up to 10% of the time, as needed and hold an active Secret clearance.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ;br>
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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