2

Remote Biomedical Machine Learning Jobs in Oregon

Principal Software Engineer, Core Pricing

OR · On-site +1

$134K - $180K/yr

You will lead efforts to deliver software that uses machine learning to optimize pricing and ... Remote Travel requirements As a digital first company, the majority of your work can be ...

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Applied AI Solutions Architect

OR · On-site +1

$63 - $83/hr

Strong understanding of Applied AI and modern machine learning systems, including predictive ML ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Work with cutting-edge AI technologies, including machine learning, generative AI, and emerging ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... machine learning workflows. Leverage Python for data preparation, model training, and result ...

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software ...

Showing results 41-60

Remote Biomedical Machine Learning information

What is a remote biomedical machine learning job?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What are some unique challenges faced when working remotely as a biomedical machine learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a remote biomedical machine learning specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Oregon?

For Remote Biomedical Machine Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Machine Learning jobs in Oregon look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Remote Biomedical Machine Learning jobs?

Cities in Oregon with the most Remote Biomedical Machine Learning job openings:

Principal Software Engineer, Core Pricing

Upstart

OR • On-site, Remote

$134K - $180K/yr

Full-time

Re-posted 6 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team: 

The Core Pricing Team is responsible for building a best-in-class platform to accurately create loan offers for all of Upstart's loan products like Personal Loans, Auto loans and Home loans. The services owned by the team are responsible for validating applicant data, interfacing with Machine Learning models to calculate borrower risk, matching applicants to lenders, and calculating interest rates, fees, etc. We are developing new capabilities for Upstart's loan products and building a next generation software platform to accelerate innovation on behalf of our customers.

As a Principal Software Engineer, you will drive technical excellence and innovation within the Core Pricing team, with a focus on Personal and Unsecured Loans, one of Upstart's primary revenue drivers. You will set the technical vision and direction for the team, working backward from our product strategy. You will lead efforts to deliver software that uses machine learning to optimize pricing and continuously improve the efficiency of our borrower-lender marketplace.

You will have the opportunity to design and build large-scale systems, partner closely with machine learning scientists, and work in a highly collaborative, fast-paced environment. We are looking for a seasoned technical leader with a passion for machine learning, finance, experimentation, and distributed systems. If this sounds exciting, we would love to hear from you.

How you'll make an impact

  • Define the long-term technical direction and roadmap for Pricing in alignment with Upstart's business objectives. 
  • Lead the design and development of a system that continuously optimizes the matching of supply and demand for Upstart's borrower-lender marketplace. 
  • Work closely with ML scientists to improve and develop new models that improve core business metrics. 
  • Guide the architectural evolution of Pricing engineering systems with an emphasis on scaling innovation across multiple engineering teams. 
  • Uncover and drive alignment across complex technical requirements, designs, trade-offs, influencing product direction 
  • Proactively evaluate, prototype, and roll out new technologies/frameworks to help cultivate a culture of innovation
  • Lead from the front, while mentoring and developing technical leaders

Minimum Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience
  • Experience building highly scalable systems using containerization technologies like Docker and Kubernetes
  • Experience building flexible, extensible and consistent APIs 
  • Solid grasp of software development principles and best practices for creating scalable, extensible  and maintainable systems
  • Proficiency in one or more object oriented programming languages like Python, Java, C#, C++
  • Strong communication skills and ability to explain complex business and technical concepts to all audiences
  • Track record of successfully mentoring and developing technical leaders
  • Experience working in dynamic fast paced organizations
  • Ability to balance the needs of the business with the needs of engineering improvements
  • Passion for clean code and architecture and initiative to "level-up" the engineering team with better practices & design
  • You are able lead and resolve company-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product)
  • You have a good sense for build-vs-buy and are able to prioritize the highest ROI architectural investments

Preferred Qualifications

  • High proficiency with Python
  • Experience with A/B testing, GRPC, and Kafka
  • Experience working in Fintech, Pricing, Ads, or ML.
  • Background in statistics, mathematics, or econometrics is a big plus. 
  • Experience designing and building microservice-based architectures
  • Experience developing large scale distributed systems in AWS
  • Strong sense of ownership and accountability for the quality and timely delivery of work
  • Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamics
  • Demonstrated ability to take feedback well and actively incorporate it into work with a desire to continuously improve
  • Ability to influence and lead without direct authority
  • Strong product and analytical mindset that allows you to think in terms of ROI, risk, and trade offs
  • Experience working at companies that have gone through periods of rapid business or organizational growth

Position location This role is available in the following locations: Remote

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE


What Upstart employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom