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Remote Project Analyst Jobs in Linthicum, MD (NOW HIRING)

Lead System Analyst United States - Remote Come make the world and accelerate your success. It ... ITFS Project Methodology knowledge * Ability to tie together solutions across systems * Application ...

... projects, Stars initiatives, Risk Adjustment support, supplemental data validation, and other ... Analyze and evaluate workflow outcomes, retrieval progress, abstraction accuracy, pend trends, data ...

The Actuarial Analyst I will perform individual project tasks as requested, execute calculations of moderate complexity, and understand concepts of actuarial analysis that are of varying complexity.

Experience mentoring junior analysts or leading analytics pods/projects * Ability to design and implement analytical models that drive decision-making * Strong storytelling and executive-level ...

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

The Senior Data Analyst is responsible for ensuring the accuracy, completeness, and regulatory ... Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at ...

Contract-to-Hire Work model: 90% Remote, 4-6 meetings yearly in Baltimore, MD Pay (W2): $47/HR What ... Lead projects and keep operational leadership informed; mentor lower-level analysts What we're ...

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How much do remote project analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote project analyst in Linthicum, MD is $35.89, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $43.65 per hour, depending on experience, location, and employer.

What is a remote project analyst?

A Remote Project Analyst is responsible for analyzing project data, monitoring progress, and ensuring tasks align with business goals, all while working remotely. They collaborate with teams, track key performance indicators, and provide insights to improve project efficiency. Their role often involves using project management tools, creating reports, and identifying potential risks. Effective communication and analytical skills are essential for success in this position.

What does a remote project analyst do?

As a Remote Project Analyst, your days often involve tracking project progress, analyzing data to identify risks or areas for improvement, preparing reports for stakeholders, and participating in virtual meetings. You’ll collaborate closely with project managers, technical teams, and other analysts to help ensure deliverables are on schedule and requirements are met. Expect to use project management and collaboration tools regularly to document findings, communicate updates, and support decision-making. This role offers a fast-paced, varied workflow well-suited to those who enjoy analytical work and proactive problem-solving in a remote setting.

What are the key skills and qualifications needed to thrive in the remote project analyst position, and why are they important?

To thrive as a Remote Project Analyst, you need strong analytical abilities, proficiency in project management methodologies, and a background in business or a related field. Familiarity with tools like Microsoft Project, Jira, Trello, and data analysis platforms such as Excel or Tableau is highly beneficial, as are certifications like PMP or CAPM. Exceptional communication, time management, and self-motivation skills help you excel in a virtual, collaborative environment. These skills ensure efficient project tracking, insightful analysis, and effective teamwork across distributed teams.

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What cities near Linthicum, MD are hiring for Remote Project Analyst jobs?

Cities near Linthicum, MD with the most Remote Project Analyst job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Baltimore, MD • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.