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Flex R Shiny Developer Jobs in California (NOW HIRING)

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members * Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Machinist (R&D)

Fremont, CA · On-site

$104K - $231K/yr

What you'll do As an R & D Machinist, you will play an essential role in developing cutting-edge ... Collaborate closely with engineers to design and fabricate precision parts * Utilize 3D CAD to ...

Utilize statistical tools (such as GR&R, SPC and Cp/pCk) to ensure processes/fixtures are scalable ... flex handling, packaging, and other automated assembly processes. Experience working with ...

Services Finance, Data Scientist

Cupertino, CA · On-site

$172.10K - $258.60K/yr

Experience with interactive visualization tools and report generation frameworks such as Shiny ... Strong programming proficiency in Python or R, with demonstrated experience using AI coding ...

Architect solutions by bringing to bear Kubernetes/Ethos Flex for container orchestration, workload ... Engineering & Delivery: Provide architectural mentorship on backend development, focusing on ...

Director of Land Development

Fresno, CA · On-site

$83.90K - $115.20K/yr

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Oversee the activities of land planners, engineers, consultants, government officials and trade ...

... to improve developer productivity and delivery velocity Excellent analytical skills; open ... Find out more: aveva.com/en/about/careers/r-and-d-careers/ USA Benefits include: Flex work hours ...

... improve developer productivity and delivery velocity • Excellent analytical skills; open ... Find out more: aveva.com/en/about/careers/r-and-d-careers/ USA Benefits include: Flex work hours ...

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Flex R Shiny Developer information

What are the key skills and qualifications needed to thrive as a Flex R Shiny Developer, and why are they important?

To thrive as a Flex R Shiny Developer, you need strong programming skills in R, proficiency in building interactive web applications with Shiny, and a solid understanding of data analysis or statistics. Experience with version control systems like Git, familiarity with front-end technologies (HTML, CSS, JavaScript), and knowledge of deployment tools such as Shiny Server or Docker are often required. Effective communication, problem-solving abilities, and the capacity to work collaboratively with stakeholders are valuable soft skills in this role. These competencies are vital for developing robust, user-friendly data applications that meet organizational needs and support effective decision-making.

How does a Flex R Shiny Developer typically collaborate with data scientists and stakeholders during a project lifecycle?

As a Flex R Shiny Developer, you play a key role in bridging the gap between data science teams and end-users or business stakeholders. You'll frequently work alongside data scientists to understand analytical objectives and translate them into interactive Shiny applications that visualize and communicate data insights effectively. Regular collaboration with stakeholders is essential to gather requirements, iterate on user interface designs, and ensure the applications meet user needs. Effective communication and adaptability are critical, as project priorities may shift and requirements can evolve rapidly throughout the development process.

What are Flex R Shiny Developers?

Flex R Shiny Developers are professionals who specialize in building interactive web applications using R, particularly leveraging the Shiny package. They often focus on creating flexible, user-friendly dashboards and data visualization tools for data analysis and reporting needs. These developers typically have strong skills in R programming, UI/UX design within Shiny, and may integrate other tools or frameworks to enhance app performance and appearance. Their expertise is valuable for organizations that need dynamic data-driven applications, especially in research, healthcare, and business analytics.

What is the difference between Flex R Shiny Developer vs R Shiny Developer?

AspectFlex R Shiny DeveloperR Shiny Developer
Required SkillsProficiency in R, Shiny, and Flexbox/CSS for responsive designStrong R and Shiny skills, basic CSS knowledge
Work EnvironmentCollaborates with UI/UX teams, often in flexible, dynamic projectsFocuses on developing interactive dashboards primarily in R
Industry UsageUsed in data visualization, analytics, and web app developmentPrimarily in data science, analytics, and reporting

Flex R Shiny Developers specialize in creating responsive, flexible web applications using R and Shiny, with an emphasis on UI design with CSS and Flexbox. R Shiny Developers focus on building interactive dashboards and data apps in R. While both roles require strong R and Shiny skills, Flex R Shiny Developers also have expertise in front-end responsiveness, making them suitable for projects requiring adaptable interfaces.

What are the most commonly searched types of R Shiny Developer jobs in California? The most popular types of R Shiny Developer jobs in California are:
What are popular job titles related to Flex R Shiny Developer jobs in California? For Flex R Shiny Developer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Flex R Shiny Developer jobs? Cities in California with the most Flex R Shiny Developer job openings:
Senior Scientist, Bio AI

Senior Scientist, Bio AI

Earli, Inc.

Redwood City, CA

$205K - $235K/yr

Other

Posted 23 days ago


Job description

The Position

Earli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic Bioengineering team.

Your Primary Responsibilities

  • Leverage cutting-edge ML, bioinformatics, and high-throughput assay data to design cancer-specific synthetic promoters and novel genetic medicines that will directly impact Earli's clinical pipeline.
  • Train generative AI models for designing genetic medicines by leveraging Earli's proprietary Massively Parallel Reporter Assay (MPRA) data as well as external data sets
  • Contribute to wet lab experimental design and data evaluation to benchmark AI model performance against ground truth wet lab data and create a rapid iteration loop
  • Perform routine computational analyses to analyze MPRA and other large experimental datasets using existing packages as well as bespoke analysis where needed. Provide accessible interfaces (e.g. Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members
  • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based pipelines to identify key dysregulated targets and pathways in selected cancer indications
  • Routinely deploy code and execute on Earli's infrastructure hosted by Cloud Service Providers (e.g. GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for GPU usage/compute

Your Required Experience, Knowledge and Skill

  • Master's or PhD degree in a relevant field (bioengineering, computer science, data science, etc.) with a minimum of 3 years of hands-on experience using AI/ML applied to genomic/bioinformatic data using state-of-the-art GenAI models
  • Deep, direct expertise (preferably with high-quality publications) in developing novel GenAI models trained on massive biological data. Hands-on expertise in model training, fine-tuning, and in silico evaluation is a pre-requisite for this role.
  • An expert level of competence in data analysis on large and complex empirical data, such as MPRA data, multi-modal omics data, etc.
  • Familiarity with and prior experience collaborating with wet lab scientists to generate and curate high-throughput screening data on large libraries of DNA or RNA sequences
  • Proficiency in routine bioinformatic analyses such as differential gene expression, ATAC-seq and RNA-seq analysis, etc.
  • Expert level coding skills in Python and R
  • Basic knowledge of fundamental cancer biology is required. Deep expertise in cancer -omics, biomarkers, targets and pathways is preferred
  • Excellent verbal and written communication as well as interpersonal skills are required
  • Able to multi-task, manage multiple projects simultaneously and work effectively within a team
  • Ability to think independently and fully integrate into a high achieving team environment

The base salary for this position is $205,000-$235,000 per year.