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Weekend Lab Data Analyst Jobs in Maryland (NOW HIRING)

Inventwood

R & D Data Analyst

Frederick, MD · On-site

Works in the lab -- spends regular time on the floor observing and assisting with experiments to ... Strong working proficiency in Python for data analysis (e.g., pandas, SciPy, Jupyter, matplotlib ...

University of Rochester

$21.78 - $30.53/hr

The successful candidate will participate in NIH-funded research and join the Health and Environmental Economics Lab. RAs collect and organize data, conduct statistical analysis on large databases ...

University of Rochester

$25.14 - $35.24/hr

The successful candidate will participate in NIH-funded research and join the Health and Environmental Economics Lab. RAs collect and organize data, conduct statistical analysis on large databases ...

Axle

Computer Systems Analyst

Baltimore, MD

Analyzing problems and propose solutions that enhance the operation of web-based data collection ... Ensure successful lab data transfer, storage, and retrieval. * Coordinate account information for ...

Axle

Computer Systems Analyst

Baltimore, MD · On-site

Analyzing problems and propose solutions that enhance the operation of web-based data collection ... Ensure successful lab data transfer, storage, and retrieval. * Coordinate account information for ...

Axle

Computer Systems Analyst

Baltimore, MD

Analyzing problems and propose solutions that enhance the operation of web-based data collection ... Ensure successful lab data transfer, storage, and retrieval. * Coordinate account information for ...

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Weekend Lab Data Analyst information

What is a weekend lab data analyst?

A Weekend Lab Data Analyst is a professional who specializes in collecting, processing, and analyzing scientific or technical data generated in a laboratory setting, specifically during weekend shifts. Their responsibilities often include managing data quality, creating reports, and supporting lab staff with data interpretation to ensure accurate results. This role is critical for laboratories that operate seven days a week, as it helps maintain continuity and timely data processing. Weekend Lab Data Analysts often work with specialized software and must have strong analytical and communication skills.

What are the key skills and qualifications needed to thrive as a weekend lab data analyst, and why are they important?

To excel as a Weekend Lab Data Analyst, you need strong analytical skills, attention to detail, and a background in statistics or laboratory science, often supported by a relevant degree. Familiarity with data analysis software such as Excel, SQL, or specialized laboratory information management systems (LIMS) is typically required. Excellent problem-solving ability, time management, and clear communication help you interpret results accurately and collaborate with lab teams. These skills ensure precise data handling and reporting, which are crucial for maintaining lab quality standards and supporting research or diagnostic processes during off-peak hours.

What are some typical challenges faced by weekend lab data analysts, and how can they be addressed?

Weekend Lab Data Analysts often work with limited in-person support since core staff may not be present, making it crucial to be proactive in troubleshooting and resourceful in finding solutions. Handling large volumes of data under tight weekend deadlines can also be challenging, so strong time management and organizational skills are essential. Collaborating remotely with weekday teams through clear documentation and regular status updates helps ensure data integrity and continuity across shifts.

What is the difference between Weekend Lab Data Analyst vs Weekend Medical Laboratory Technician?

AspectWeekend Lab Data AnalystWeekend Medical Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certification may be preferredAssociate's or Bachelor's in Medical Laboratory Technology; certification often required
Work EnvironmentLaboratories, hospitals, research facilities, often with data analysis toolsMedical labs, hospitals, clinics performing diagnostic tests
Industry UsageHealthcare, research, diagnosticsHealthcare, clinical diagnostics
Job FocusAnalyzing lab data, generating reports, supporting researchPerforming lab tests, preparing samples, ensuring quality control

The Weekend Lab Data Analyst and Weekend Medical Laboratory Technician roles share some overlap in healthcare settings but differ mainly in focus. The analyst emphasizes data interpretation and reporting, while the technician concentrates on sample processing and testing. Both roles may work weekends and require relevant certifications, but their daily tasks and skill sets are distinct.

What are the most commonly searched types of Lab Data Analyst jobs in Maryland?

The most popular types of Lab Data Analyst jobs in Maryland are:

What cities in Maryland are hiring for Weekend Lab Data Analyst jobs?

Cities in Maryland with the most Weekend Lab Data Analyst job openings:

Weekend Lab Data Analyst jobs near you

R & D Data Analyst

Inventwood

Frederick, MD • On-site

Full-time

Re-posted 3 days ago

Job description

General Summary / Position Purpose

The R&D Data Analyst turns the data behind SUPERWOOD — a molecularly densified wood material — into the insights that drive our research forward. It's an analytical role embedded in the R&D team at an ARPA-E-backed climate-materials company: you'll analyze experimental data, build and apply models for processes like chemical infusion and thermal behavior, and work alongside the scientists generating the data — in the lab, not just behind a screen.

This is InventWood's first dedicated data role. The majority of your time will be spent on analysis — regression, process modeling, and helping the research team draw real value from the data they produce — with the balance spent in the lab, learning our materials and processes firsthand. Along the way you'll help establish how we capture, structure, and use experimental data as the company grows. We're looking for someone rigorous and curious who wants to help build a data practice from the ground up in a high-intensity, build-the-company environment.

Job Duties and Responsibilities
  • Analyzes experimental datasets — builds and maintains regression models, comfortable with modelling mathematical equations, and clearly documents assumptions, methods, and limitations so results are reproducible and defensible.
  • Turns analysis into decisions — synthesizes findings into clear summaries, visualizations, and recommendations the research team can act on, and presents them in team discussions.
  • Works in the lab — spends regular time on the floor observing and assisting with experiments to understand firsthand how data is generated. This is not a heavy-machinery role, but comfort in a lab and manufacturing environment is essential.
  • Improves how data is captured — helps standardize experiment logging, builds templates and lightweight workflows, and flags data-quality issues early, before they compromise a result.
  • Contributes to study design — brings a data perspective to research planning conversations: identifying gaps in existing datasets, proposing follow-up experiments the data suggests, and helping the team narrow parameter spaces before physical testing.
  • Builds the data practice — as InventWood's first dedicated data hire, documents workflows and conventions so the practice scales cleanly as the team grows.
  • Follows all safety policies, standards, and regulations; upholds and promotes company Core Values and culture; takes on special projects as directed by your manager; and maintains strict confidentiality.
Minimum Knowledge, Skills, and Abilities Required
  • A BS in a quantitative or scientific field — statistics, data science, engineering, physics, chemistry, materials science, or related — and 3 – 5 years work experience in a related field.
  • Strong working proficiency in Python for data analysis (e.g., pandas, SciPy, Jupyter, matplotlib/Plotly or similar).
  • A solid grounding in regression analysis and applied statistics from a data analyst's perspective — understanding model fit, uncertainty, and when a conclusion is (and isn't) supported by the data. This is a requirement.
  • Experience or demonstrated aptitude modeling physical processes is a strong plus.
  • A materials science background is a plus, not a requirement — but genuine curiosity about the science is. You'll be expected to learn our materials and processes well enough to ask good questions.
  • Comfortable working in a lab environment and spending meaningful time alongside the research team, not just downstream of it.
  • A builder's mindset — comfortable with ambiguity, energized by establishing systems and conventions where none exist yet, and willing to do the unglamorous work (documentation, data hygiene, templates) that makes everything else possible.
  • Communicates clearly in writing and in person; documents work so someone else can follow it.
  • Team-oriented — brings energy, gets excited about building the company, and lifts the team. Detail-oriented, with strong emotional intelligence and humility.
  • Fluent in English; able to work onsite 5 days a week in Frederick, MD.
Physical Demands
  • Must be able to occasionally lift up to 25 pounds (samples, equipment).
  • Must be able to be fitted for, and wear, appropriate personal protective equipment when in lab and production areas.