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Remote Scientific Writing Jobs in California (NOW HIRING)

Benefits vary by location and may include: o Remote working o Flexible time off o Paid holidays o ... Bachelor's degree required; science-related field preferred. Minimum of 7 years of medical writing ...

Serve as scientific resource to external disease experts and internal stakeholders * Support the ... Excellent oral and written communication skills * Excellent interpersonal and engagement skills

Serve as scientific resource to external disease experts and internal stakeholders * Support the ... Excellent oral and written communication skills * Excellent interpersonal and engagement skills

Showing results 21-40

Remote Scientific Writing information

See California salary details

$10.9K

$69.6K

$78.5K

How much do remote scientific writing jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote scientific writing in California is $69,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $73,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed for remote scientific writing?

To thrive in Remote Scientific Writing, you need strong research, analytical, and technical writing skills, usually backed by a degree in a scientific discipline. Familiarity with reference management software like EndNote or Mendeley, as well as proficiency in formatting and submitting manuscripts for scientific journals, is often required. Being detail-oriented, self-motivated, and possessing excellent communication skills are important soft skills for this role. These abilities are critical for producing clear, accurate, and publishable scientific documents while working independently and meeting tight deadlines remotely.

What are the typical daily responsibilities of remote scientific writing?

In a Remote Scientific Writing role, your daily tasks often include researching scientific literature, drafting and editing manuscripts, and ensuring documents adhere to specific journal or publication guidelines. You may also collaborate remotely with researchers, editors, and subject matter experts to clarify technical content or gather additional data. Adhering to deadlines and managing multiple projects at once are common aspects of this role. Regular communication through email, project management tools, and virtual meetings is essential for coordination and feedback, even while working independently.

What is remote scientific writing?

A Remote Scientific Writing job involves creating and editing scientific content, such as research papers, grant proposals, regulatory documents, or educational materials, from a remote location. Writers typically work for research institutions, pharmaceutical companies, or scientific publishers. This role requires strong writing skills, domain-specific knowledge, and the ability to communicate complex scientific concepts clearly. Many remote scientific writers have advanced degrees in science, medicine, or engineering.

What are the most commonly searched types of Scientific Writing jobs in California? The most popular types of Scientific Writing jobs in California are:
What are popular job titles related to Remote Scientific Writing jobs in California? For Remote Scientific Writing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Scientific Writing jobs in California look for? The top searched job categories for Remote Scientific Writing jobs in California are:
What cities in California are hiring for Remote Scientific Writing jobs? Cities in California with the most Remote Scientific Writing job openings:
Infographic showing various Remote Scientific Writing job openings in California as of August 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 100% Remote job distribution, with an average salary of $69,576 per year, or $33.5 per hour.

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Re-posted 24 days ago


Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is a leading global biotechnology and pharmaceutical organization driven by a mission to innovate, continuously advance science, and ensure everyone has access to the healthcare they need.
Title: AI Data Engineer - Scientific Data Platforms
Location: Remote, Must work PST
Pay rate: $35-38/hr (Depends on experience level)
Schedule: Full-time (40 hours/week)
Duration: 1-year contract, (Plus benefits)
Position Overview
This role addresses a critical need in scaling our AI models for drug discovery by building largely automated, scalable, agent-driven data ingestion and curation pipelines for genomics data. This includes metadata inference, constructing performant query architectures, and transforming high-dimensional datasets (e.g., single-cell omics, clinical trials) into AI-ready training formats.
Key Responsibilities
  • Build an agentic data ingestion pipeline and move beyond bespoke steps toward agents that teams can reliably use as a shared, deployed service.
  • Triage and prioritize incoming requests to ingest specific datasets. Clean and organize data, building the first-pass cleaning and organization steps into the agentic flow.
  • Validate cross-modal linkage. Add automated checks that catch when ingested data does not connect correctly and flag low-quality or mismatched records.
  • Version every dataset, retaining and making prior versions addressable. Preserve raw data and provenance, ensuring agent workflows log validation and transformation steps so lineage is fully traceable.
  • Partner with AI, software engineering, and computational biology groups to co-define data standards and conventions.

Qualifications & Requirements
  • Demonstrated experience building multi-agent workflows or LLM workflows using tools/frameworks such as LangGraph or LlamaIndex, including tool/function calling and asynchronous task execution.
  • Strong Python skills for data manipulation, working with APIs and databases, and handling heterogeneous data formats.
  • Familiarity with dataset versioning approaches (e.g., DVC, lakeFS, or equivalent).
  • Comfortable with or showing a strong willingness to learn common omics data formats like AnnData, H5AD, and TileDB.
  • No deep bioinformatics expertise required; just a basic conceptual understanding of different modalities (e.g., RNA-seq vs. scRNA-seq vs. WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics).
  • Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible.
  • Degree in a technical field or equivalent practical experience.
  • Must be Authorized to work in the United States without Sponsorship.
Nice to Have
  • Experience deploying agent workflows as a shared service (e.g., FastAPI or MCP endpoints).
  • Exposure to cloud platforms (AWS, GCP) and containerization (Docker).
  • Familiarity with scientific workflow managers such as Nextflow or Snakemake.

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