2

Remote Fastapi Jobs in California (NOW HIRING)

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience with Python and modern frameworks (Django, FastAPI) for backend services and automation

next page

Showing results 1-20

Remote Fastapi information

What is the difference between Remote Fastapi vs Remote Django Developer?

AspectRemote FastapiRemote Django Developer
Required CredentialsPython, REST API, async programmingPython, Django framework, REST API
Work EnvironmentBackend API development, microservicesFull-stack or backend web development
Industry UsageTech startups, SaaS, microservices architectureWeb applications, content management systems
Search & Comparison IntentYesYes

Remote Fastapi and Remote Django Developer roles both involve Python development but focus on different frameworks. Fastapi is optimized for high-performance APIs and microservices, while Django offers a comprehensive web framework suitable for full-stack applications. The choice depends on project requirements and preferred tech stacks.

What are the most commonly searched types of Fastapi jobs in California? The most popular types of Fastapi jobs in California are:
What cities in California are hiring for Remote Fastapi jobs? Cities in California with the most Remote Fastapi job openings:

Sr. Clinical Informatics Analyst - Remote

DivIHN

San Diego, CA • On-site, Remote

Contractor

Posted 4 days ago


Job description

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists, Justeen at (224) 394-4903 or Ragu at (224) 704-1713
Title: Sr. Clinical Informatics Analyst - Remote
Location: Remote
Duration: 6 Months with possibilities of extension and converstion to full time
Hours: 9 AM - 5 PM PST
Travel Required: 5 - 15%
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description
  • Collaborate with the research team to develop data analysis plans for the clinical trial.
  • Use statistical methods to analyze data and identify trends, patterns, and outliers.
  • Create data visualizations and reports to communicate results to the research team.
  • Work with other team members to interpret data and provide insights to inform decision-making.
  • Develop and implement data governance to support consistency and shared understanding across the organization.
  • Stay up-to-date with the latest research and industry developments in continuous glucose monitoring devices.
  • Collaborate with the research team to identify opportunities for digital transformation in the clinical trial.
  • Develop and implement digital solutions to streamline data collection, data analysis, and data visualization.
  • Design and implement strategies to enhance patient recruitment, engagement, and retention using digital technologies.
  • Analyze and interpret data generated from digital solutions to inform decision-making and improve trial outcomes.

Requirements:
  • Experience working in clinical research and knowledge of clinical trial design and analysis.
  • Strong analytical and problem-solving skills, with the ability to analyze complex datasets and identify patterns and trends.
  • Excellent communication and presentation skills, with the ability to communicate results and insights to non-technical stakeholders.
  • Ability to work independently and collaboratively in a team environment.
  • Familiarity with continuous glucose monitoring devices and diabetes management is a plus.
  • Intermediate to advanced Python programming skills, including ability to develop, test, and maintain analytics automation.
  • Proficiency in Power BI for dashboard/report development and data visualization.- Required
  • Experience with Apache Airflow for workflow orchestration and data pipeline scheduling.
  • Working knowledge of PostgreSQL, including querying, data modeling, and database optimization.
  • Experience developing or integrating APIs using FastAPI.
  • Experience in the pharmaceutical or biotechnology industry is preferred.
  • Experience working with backend data engineering.

Required Skills (Top 3 non-negotiables):
  • Intermediate to advanced Python programming skills, including ability to develop, test, and maintain analytics automation
  • Experience with Apache Airflow for workflow orchestration and data pipeline scheduling
  • Working knowledge of PostgreSQL, including querying, data modeling, and database optimization.
  • Experience developing or integrating APIs using FastAPI.

Preferred Skills (Nice to have)
  • Clinical Research Experience

Work related years of experience: 3+ Years
Education Requirements: BS
Interview Process
  • Two rounds of interviews.
  • A Python coding assessment will be included as part of the interview process