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Weekend Science Jobs in Potomac, MD (NOW HIRING)

Syneos Health, Inc.

Medical Science Liaison

Washington, DC · On-site

$175 - $187.50/hr

You'll contribute cutting‑edge clinical and scientific data to help move healthcare forward and positively impact patients. Responsibilities * Establish, cultivate, and maintain scientific ...

Syneos Health

Medical Science Liaison

Washington, DC · On-site

$175 - $187.50/hr

Establish, cultivate, and maintain scientific relationships with KOLs while developing a strong understanding of clinical practice as it relates to areas of interest. * Plan and execute medical ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

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All JobsScience JobsWeekend Science JobsWeekend Science Jobs in Potomac, MD

Weekend Science information

See Potomac, MD salary details

$29.5K

$57.1K

$94.1K

How much do weekend science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend science in Potomac, MD is $57,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $67,200.00 per year, depending on experience, location, and employer.

What is a Weekend Science?

A Weekend Science job typically involves scientific research, laboratory work, or technical support that takes place on weekends. These roles are common in industries like healthcare, research institutions, and environmental monitoring, where experiments or operations continue beyond standard work hours. Responsibilities may include conducting experiments, analyzing data, maintaining equipment, or assisting with ongoing projects. Weekend Science jobs can be ideal for students, part-time workers, or professionals looking to supplement their income while contributing to scientific advancements.

What are the typical responsibilities and work schedules for someone in a Weekend Science position?

Weekend Science professionals are often responsible for conducting experiments, recording data, and maintaining laboratory equipment during weekend shifts. Schedules usually involve working part-time on Saturdays and Sundays, often as part of a rotating team to ensure research continuity. You may collaborate closely with weekday staff through detailed handover notes, so clear communication and documentation are important. This setup allows for extended research hours, supporting projects that require ongoing monitoring or time-sensitive work, and can be ideal for students or those seeking flexible employment in the sciences.

What are the key skills and qualifications needed to thrive in the Weekend Science position, and why are they important?

To excel in a Weekend Science role, candidates typically need a strong background in biological, chemical, or physical sciences, often supported by a relevant degree or laboratory experience. Familiarity with laboratory equipment, data analysis software, and common safety protocols is essential. Strong attention to detail, communication, and problem-solving skills are important soft skills for this position. These abilities ensure safe, efficient, and accurate completion of experiments and collaboration within the team during weekend shifts.

What are some fun weekend science jobs?

Weekend science jobs include roles such as science camp instructors, museum educators, or event demonstrators, which often involve engaging the public with hands-on experiments. These positions typically require strong communication skills, basic scientific knowledge, and sometimes certifications like CPR or safety training. They offer flexible schedules and opportunities to share science in informal settings.

What job should I get if I like science?

If you like science, you can pursue roles such as a laboratory technician, research scientist, or science teacher. These jobs often require strong knowledge of scientific principles, relevant degrees, and sometimes certifications or laboratory skills. They typically involve working in labs, educational settings, or research environments.

What cities near Potomac, MD are hiring for Weekend Science jobs?

Cities near Potomac, MD with the most Weekend Science job openings:

Weekend Science jobs near you
Infographic showing various Weekend Science job openings in Potomac, MD as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $57,079 per year, or $27.4 per hour.

Data Scientist - AI/ML

Science Systems & Applications

Lanham, MD • On-site

$87K - $105K/yr

Full-time

Re-posted 8 hours ago

Job description

Science Systems and Applications, Inc. (SSAI) is seeking a highly motivated Data Scientist to support NASA Earth science data systems, geospatial analytics, scientific software development, and AI/ML initiatives. The role includes researching, evaluating, and applying emerging technologies such as artificial intelligence, quantum computing methodologies, and advanced analytics to advance Earth science research, geospatial data processing, and scientific discovery.

Responsibilities

  • Design, develop, and deploy machine learning and artificial intelligence models to support predictive analytics, environmental monitoring, geospatial intelligence, and Earth science research applications.
  • Develop geospatial analytics, visualization tools, and web-based applications for large environmental and remote sensing datasets.
  • Create and support RESTful APIs, web services, and cloud-based data access systems utilizing AWS and Azure cloud platforms for scalable storage, processing, and dissemination of Earth science data.
  • Develop workflows for processing, quality control, analysis, and dissemination of satellite-derived geospatial products.
  • Collaborate with scientists to translate research requirements into operational software solutions.
  • Support Earth science data archives, user services, and community engagement activities.
  • Perform spatial and temporal analysis of environmental datasets using GIS, remote sensing, and statistical methods.
  • Develop and automate data processing pipelines using Python and scientific computing frameworks, leveraging cloud services to support large-scale geospatial and remote sensing workflows.
  • Support, maintain, and integrate legacy scientific applications developed in Fortran with modern Python-based analytics, data processing, and visualization workflows.
  • Integrate diverse datasets from satellite observations, field measurements, and numerical models.
  • Prepare technical documentation, scientific reports, conference presentations, and peer-reviewed publications.
  • Collaborate with scientists, software engineers, and technology partners to identify opportunities for integrating quantum computing concepts into AI/ML workflows, high-performance computing environments, and next-generation Earth science applications.

Required Qualifications

  • Master’s Degree (M.S.) and a minimum of 5 years related experience and/or training, or equivalent combination of education and experience.
  • Experience applying AI/ML techniques to Earth science, climate, environmental, geospatial, remote sensing, or other large scientific datasets.
  • Strong programming skills in Python and experience with scientific computing workflows, including Fortran and high-performance computing environments.
  • Experience developing and deploying AI/ML solutions using cloud platforms such as AWS and Azure.
  • Experience with GIS and geospatial data processing tools.
  • Experience working with large environmental, remote sensing, or geospatial datasets.
  • Knowledge of spatial databases, web services, application development frameworks, and emerging technologies such as quantum computing.
  • Experience developing and supporting data visualization and analytics tools.
  • Strong written and verbal communication skills.
  • Ability to work effectively in multidisciplinary scientific teams.

Desired Qualifications

  • Experience supporting NASA, NOAA, USGS, or other federal Earth science programs.
  • Experience with satellite data products such as MODIS, Landsat, VIIRS, or similar Earth observation datasets.
  • Experience developing geospatial web applications and cloud-enabled data services.
  • Knowledge of GDAL, ArcGIS, GRASS GIS, or similar geospatial software packages.
  • Experience with JavaScript, Node.js, SQL, Linux, and scientific computing environments.
  • Experience with hydrologic, environmental, ecological, or climate modeling.
  • Demonstrated record of peer-reviewed scientific publications.
  • Experience interacting directly with scientific user communities and stakeholders.


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus