Epicareer Might not Working Properly
Learn More
Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
Any Question? Contact us
logo
Jobs or company...

Data Scientist - Machine Learning

Salary undisclosed

Apply on

Dice
Original
Simplified

Job Description

Job Description

Data Scientist - Machine Learning ROCGJP00027870

A leading biotechnology company is seeking a Data Scientist - Machine Learning. The right candidate will work closely with multi-disciplinary teams to design, develop and deploy structured, high-quality data solutions in particular Large Language Model (LLM) applications. These solutions will be leveraged across the Product Development organization to help our teams fulfill our mission: to do now what patients need next. We focus on delivering technology that evolves the practice of medicine and helps patients live longer, better lives. We are a diverse team of open and friendly people, enthusiastic about technological novelties and optimal enterprise solutions. We share knowledge, experience & appreciate different points of view.

Data Scientist - Machine Learning Pay and Benefits:

  • Hourly pay: $75-$85/hr (pay varies based on candidate's experience)
  • Worksite: Leading biotechnology company (South San Francisco, CA 94080)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 12 Month Assignment

Data Scientist - Machine Learning Responsibilities:

  • Partner with fellow Data Scientists, ML engineers, MLOps / DevOps engineers and cross functional teams to solve complex problems and create unique solutions by using modern NLP technologies in particular LLMs.
  • Build data pipelines and deployment pipelines for ML models.
  • Development of ML models according to business and functional requirements.
  • Able to help deploy various models and tune them for better performance.
  • Document and communicate the design and implementation details.
  • Contribute to the DSE AI team on technical decisions.
  • Collaborate with clients, and informatics departments to deploy scalable and easy-to-maintain solutions.
  • Serves as a technical point of contact for enterprise-wide technologies solutions. Leads complex troubleshooting efforts and root cause analysis.

Data Scientist - Machine Learning Qualifications:

  • 2+ years of commercial Data Engineering / ML Engineering / MLOps / UI/UX engineering experience.
  • 3+ years of commercial software engineering experience.
  • Master in quantitative field (e.g. mathematics, statistics, computer science, EE, etc.), and/or Life Sciences degree with significant computational experience, or equivalent, with 5+ year working experience in Data Science. PhD a plus.
  • Experience with LLM applications development including tool using and reasoning, for instance RAG solution and code interpreter.
  • Experience with LLM fine tuning a big plus.
  • Experience in building data pipelines and deployment pipelines for LLM applications
  • Recent experience with ML/AI toolkits such as AWS Sagemager (other toolkits like Pytorch, Tensorflow, Keras, MXNet, H20, etc are nice to have).
  • Experience with MLOps technologies (Sagemaker, Vertex AI, Kubeflow).
  • Experience with deployment of scalable apps a plus.
    Experience with clinical study data a plus.
  • Experience with cloud solutions (AWS / Azure / GCP), docker.
  • Proven scripting and automation skills.
  • Good knowledge of: git, bash, linux, CI/CD tools (e.g. jenkins, gitlab CI), software lifecycle, RDB, visualization tools eg Tableau, Jira, confluence.
  • Programming languages: Python, R.
  • Test driven development, good coding practices.
  • Problem-solving and decision-making skills.
  • Good interpersonal skills.
  • Customer & delivery focus.
  • Ability to work effectively with team members and virtual teams from different locations and different cultural backgrounds.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Similar Jobs