1

Spectra Jobs in Maryland (NOW HIRING)

$82K - $120K/yr

Our Scientists and Engineers support diverse tasks such as spectrum forensics and deconfliction, testing for coverage amid urban clutter, and antenna site planning. HII's RESED team offers ...

The Leidos Digital Modernization Sector is seeking a Mid Level Spectrum Manager to support the Navy Marine Corps Spectrum Center (NMSC) - exercises management and control of electromagnetic spectrum ...

next page

Showing results 1-20

Spectra information

See Maryland salary details

$12

$20

$25

How much do spectra jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for spectra in Maryland is $20.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.44 per hour, depending on experience, location, and employer.

What is a spectra?

In the context of jobs, 'Spectra' is not a specific job title but can refer to roles involving the analysis or use of spectra, which are graphs showing the intensity of light or other signals as a function of wavelength or frequency. Professionals such as spectroscopists, laboratory technicians, or scientists may work with spectra in industries like chemistry, physics, astronomy, or material science. Their main duties often involve using specialized equipment to analyze materials, interpret spectroscopic data, and contribute to research or quality control processes. The specific responsibilities can vary depending on the industry and the type of spectra being analyzed.

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

To thrive as a Spectroscopy Technician, you need a background in chemistry or physics, with specialized training or a degree in a relevant scientific field. Proficiency with spectroscopic instruments such as FTIR, NMR, or UV-Vis spectrometers, as well as data analysis software, is typically required. Attention to detail, problem-solving skills, and effective communication are crucial soft skills in this role. These competencies are vital for producing accurate results, maintaining laboratory safety, and collaborating efficiently within research or quality control teams.

What are some common challenges faced by spectra engineers during project implementation, and how can they be addressed?

Spectra engineers often encounter challenges such as integrating new spectral analysis technologies with existing systems, ensuring data accuracy, and adapting to evolving client requirements. These challenges can be addressed through strong collaboration with cross-functional teams, ongoing training in the latest spectroscopic tools, and proactive communication with stakeholders to clarify objectives and constraints. Staying adaptable and maintaining detailed documentation also help in troubleshooting and continuous improvement.

What is the difference between Spectra vs Radiologic Technologist?

AspectSpectraRadiologic Technologist
CredentialsCertification in Spectra imaging, specialized trainingARRT certification, radiologic technology degree
Work EnvironmentMedical imaging centers, hospitals, clinicsHospitals, outpatient clinics, diagnostic labs
Industry UsageMedical imaging, diagnostic servicesMedical imaging, diagnostic radiology
Common Search/ComparisonSpectra vs Radiologic Technologist

While both roles involve medical imaging, Spectra specialists focus on specific imaging techniques and may require specialized certifications. Radiologic Technologists perform a broader range of diagnostic imaging procedures and typically hold recognized radiologic certifications. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Spectra jobs in Maryland?

For Spectra jobs in Maryland, the most frequently searched job titles are:

What cities in Maryland are hiring for Spectra jobs?

Cities in Maryland with the most Spectra job openings:

Infographic showing various Spectra job openings in Maryland as of August 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $42,351 per year, or $20.4 per hour.

NIST PREP Postdoc Associate Applying Machine Learning Methodologies to Predict Spectra of PFAS

Southeastern Universities Research Association

Gaithersburg, MD โ€ข On-site

$90K - $110K/yr

Full-time

Re-posted 23 days ago


Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Postdoctoral Researcher Applying Machine Learning Methodologies to Predict Spectra of PFAS Compounds
The work will entail: The Materials Measurement Laboratory of the National Institute of Standards and Technology is seeking qualified persons (U.S. Citizens preferred) to apply modern methods in artificial intelligence (AI) and machine learning (ML) to the problem of predicting infrared spectra and mass spectra for PFAS compounds. The candidate should have a strong background in AI/ML with application to chemical problems, have familiarity with infrared and mass spectra, and understand the relevant chemistry of PFAS molecules. This position will involve working with a team of chemists, physicists, mathematicians, data scientists and machine learning experts characterizing PFAS molecules used in the semiconductor industry with the goal of discovering new molecules for the semiconductor etching process.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Develop libraries of training data through mining of existing databases and simulation of infrared and mass spectra using quantum chemistry and related methodologies.
  • Create AI/ML models for high-fidelity prediction of the infrared and mass spectra and validate their use in matching experimentally measured spectra.
  • Collaborate with other computational and experimental researchers to meet project goals.
  • Disseminate results through publications, talks, poster presentations, etc.

Qualifications
  • PhD. in chemistry, physics, or a closely aligned field.
  • Demonstrated experience in conducting quantum scattering calculations.
  • Strong programming skills in languages such as Python or C/C++, experience using modern software frameworks for AI/ML, and experience in data analysis.
  • Motivated, independent researcher with good organizational, communication and leadership skills.
  • Solid track-record of scientific publication.

Privacy Act StatementAuthority: 15 U.S.C. ยง 278g-1(e)(1) and (e)(3) and 15 U.S.C. ยง 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004008 or PREP0003620