1

Home Based Science Journal Editor Jobs in Tennessee

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural ...

Earth Science Tutor

Memphis, TN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural ...

Earth Science Tutor

Kingsport, TN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural ...

Earth Science Tutor

Knoxville, TN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural ...

Earth Science Tutor

Nashville, TN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes observational skills and evidence-based reasoning, connecting earth science to natural ...

Showing results 41-60

Home Based Science Journal Editor information

What is a home based science journal editor?

Home based science journal editors are professionals who work remotely to review, edit, and manage scientific manuscripts submitted to academic journals. They ensure that articles meet journal standards for quality, accuracy, and style, and often coordinate the peer review process. Working from home, these editors communicate with authors, reviewers, and publishers primarily via email and online platforms. This role requires a strong background in science, excellent language skills, and attention to detail. Home based editors enjoy flexible schedules but must adhere to publication deadlines.

What are some common challenges faced by home based science journal editors, and how can they be managed effectively?

Home-based science journal editors often encounter challenges such as coordinating with international authors and reviewers across different time zones, maintaining effective communication remotely, and balancing multiple submissions with varying deadlines. To manage these challenges, editors typically use robust editorial management systems, set clear expectations with contributors, and establish a structured daily routine. Regular virtual meetings with the editorial team and thorough time management can also help maintain productivity and ensure timely publication of high-quality articles.

What are the key skills and qualifications needed to thrive as a home based science journal editor, and why are they important?

A Home Based Science Journal Editor typically requires an advanced degree in a scientific discipline, strong research evaluation skills, and experience in academic publishing. Familiarity with manuscript management systems, reference management tools, and editorial software is essential, along with knowledge of publication ethics and industry standards. Exceptional attention to detail, time management, and strong written communication skills distinguish top editors in this role. These competencies ensure the publication of high-quality, credible research and smooth coordination across authors, reviewers, and publishing teams.

What is the difference between Home Based Science Journal Editor vs Science Content Writer?

AspectHome Based Science Journal EditorScience Content Writer
Required credentialsTypically advanced degrees in science, editing certificationsDegree in science or related field, strong writing skills
Work environmentHome-based, academic publishing settingsHome-based, media or online platforms
Employer and industry usageAcademic journals, scientific publishersScience blogs, magazines, educational websites

The Home Based Science Journal Editor focuses on reviewing and editing scientific articles for academic journals, requiring specialized editing skills and scientific knowledge. In contrast, a Science Content Writer creates engaging scientific content for a broader audience, emphasizing clear communication and writing skills. Both roles often work remotely and require a background in science, but their primary tasks and target audiences differ significantly.

What cities in Tennessee are hiring for Home Based Science Journal Editor jobs?

Cities in Tennessee with the most Home Based Science Journal Editor job openings:

Agentic AI Scientist - Office of Data Science

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 7 days ago


St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,060 rated hospitals


Job description

St. Jude Children's Research Hospital is where those with a passion for making a difference come to break new ground. Located in Memphis, Tennessee, St. Jude leads the way the world understands, treats, and defeats childhood cancer and other life-threatening diseases through groundbreaking research and compassionate care.
The Office of Data Science (ODS; www.stjude.org/ods) at St. Jude institutionalizes and expands data science capabilities to unlock the vast potential of St. Jude's biological data repositories. With a vision for St. Jude to become a global leader in applying data science to biological discovery, the ODS is creating a seamless ecosystem where experimental, clinical, and data scientists collaborate to accelerate discoveries, support scientific initiatives, and advance the understanding and treatment of pediatric catastrophic diseases.
The ODS is seeking a skilled and collaborative Agentic AI Scientist to lead the design, development, and evaluation of agentic AI systems that support research and operational workflows across the Office of Data Science. This role will focus on building and orchestrating advanced LLM-based agents, developing secure and interoperable infrastructure, and translating emerging AI capabilities into practical, high-impact solutions. The successful candidate will also contribute to technical reporting, results evaluation, and staff guidance to promote responsible and effective adoption of agentic AI. The position reports to the Chief of Artificial Intelligence.
Responsibilities
  • Lead computationally focused agentic-AI research and engineering projects with moderate supervision from the manager; provide inputs on analytical approaches, set up experiments, and develop new agentic methods with manager input.
  • Design and orchestrate agent systems (agent hierarchies, tool use, handoffs, checkpointing, and human-in-the-loop control) over ODS data and tools.
  • Stand up and maintain MCP servers/clients and A2A-interoperable agents that connect ODS assets (e.g., St. Jude Cloud, internal warehouses, planning systems) under secure, auditable, HIPAA-aligned patterns.
  • Identify, process, organize, summarize, review, and report results; instrument every agent with tracing, evaluations, and cost/latency budgets.
  • Draft manuscripts and technical reports and work through submission and internal review with manager input; instruct and guide other staff in agentic-AI techniques.
  • Mentor others in agentic AI best practices and standards

Qualifications
  • Minimum: Bachelor's in Computer Science, Bioinformatics, Biomedical Engineering, or a related field with 6+ years of relevant experience (OR) Master's with 4+ years (OR) entry-level PhD with no work experience. (PhD requirement waived, given an extraordinarily unusual level of scientific contribution.)
  • Publication benchmark: 1 to 2 first-author papers with a journal impact factor > 5 (or equivalent contribution to other research / open-source outputs).
  • Preferred: prior applied-ML or agentic-AI research; demonstrated shipping of LLM-integrated systems; healthcare, biomedical, or other research-intensive domain experience.
  • Experience in project coordination, maintenance, and other research support activities preferred.

Preferred Technical / Functional Requirements (Agentic AI specialization):
Depth in at least one item per row; working awareness across the row. (Named technologies are illustrative examples, not a required stack.)
  • Agent frameworks. Production depth in at least one framework (e.g., LangGraph, OpenAI Agents SDK, Google ADK, CrewAI, Microsoft Agent Framework, Pydantic AI, LlamaIndex, Strands, Haystack, DSPy, Agno).
  • Interoperability protocols. Author and operate MCP (Model Context Protocol) servers, clients, and tools, including its core primitives (prompts, tools, resources) over JSON-RPC with OAuth 2.1 authorization; build A2A (Agent2Agent) interoperable agents; awareness of emerging agent standards (e.g., AG-UI, AGNTCY/OASF, MIT NANDA registry/discovery).
  • Orchestration & control loop. The agent harness: model-output parsing, tool dispatch, context-window management, and enforcement of stop conditions, budgets, and safety boundaries; multi-agent topologies (e.g., hierarchy, swarm, graph); checkpointing and human-in-the-loop; composable, loadable agent capabilities (e.g., Agent Skills).
  • Evaluation & observability. Tracing (e.g., OpenTelemetry), offline and online evaluation (e.g., LLM-as-judge), guardrails, and red-teaming, with observability tooling (e.g., LangSmith, Langfuse, Arize Phoenix, Microsoft Foundry Observability).
  • Identity, security & deployment. Agent identity and authorization (e.g., Microsoft Entra Agent ID, Okta / Auth0 for AI Agents, On-Behalf-Of token exchange), RBAC/SSO, sandboxed execution (e.g., E2B, Modal, Firecracker microVM), and private/secure LLM deployment patterns (HIPAA-aligned, auditable, on-prem/VPC; cf. the GPT4DFCI pattern).
  • Engineering hygiene. Strong Python; version control, tests, CI, reproducible eval harnesses; retrieval and context engineering (e.g., embeddings and vector search with pgvector or Pinecone, RAG, GraphRAG, cache-augmented generation / CAG, agentic RAG, recursive language models / RLM).

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Agentic AI Scientist - Office of Data Science.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

What St. Jude Children's Research Hospital employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom