Research Scientist Jobs in Portland.
All active Research Scientist roles based in Portland.
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Data Scientist III - AI & Machine Learning
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ABOUT onX
We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.
We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver.
Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.
We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact.
Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.
ABOUT THIS OPPORTUNITY
We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.
WHAT YOU'LL DO
Essential Job Duties & Functions
- End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
- GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
- MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
- Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
- Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
WHAT YOU’LL BRING
- 5+ years in a professional Data Science role with a track record of deploying models at scale.
- Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
- Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
- Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
- Experience with ETL/ELT processes, specifically using dbt.
- A strong curiosity for exploring new technologies, including AI
- A shared passion for and ability to demonstrate onX’s Company Values.
- Permanent US work authorization is a condition of employment with onX.
Our Tech Stack
- Data Warehouse: BigQuery
- Orchestration: Airflow (Cloud Composer)
- Modeling: Vertex AI Pipelines, JupyterLab
- Deployment: Docker, GKE (Google Kubernetes Engine)
Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.
What Sets You Apart
- The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
- Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
- Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.
THE ONX EXPERIENCE
onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.
While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.
Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.
WHERE YOU CAN WORK
onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.
HOW YOU’LL BE COMPENSATED
onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.
WHAT WE’RE OFFERING YOU
- Competitive salaries, annual bonuses, equity, and opportunities for growth
- Comprehensive health benefits, including a no-monthly-cost medical plan
- Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
- 401k matching at 100% for the first 3% you save and 50% from 3-5%
- Company-wide outdoor adventures and amazing outdoor industry perks
- Annual “Get Out, Get Active” funds to fuel your active lifestyle
- Flexible time away package that includes PTO, STO, VTO, and paid holidays
PERFORMANCE ESSENTIALS
In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com.
Application Deadline is [day of week], [month] [day] at [0:00 pm] MST
Position open until filled.
#LI-Remote
At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us!
onX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.
onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy.
As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.
Ready to apply?
Apply to onX
Computational Materials Scientist, Modeling Services
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Schrödinger seeks a Computational Materials Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of our Materials Science team, you’ll work closely with our team to help customers apply our computational tools to industrial research and development.
Who will love this job:
- A computational chemistry expert who’s had hands-on experience with real-world molecular and materials science problems
- A skilled Python and Bash scripter who enjoys prototyping simulation tools, integrating computational chemistry software, and automating high-throughput simulations
- An excellent communicator and team player who can translate complex scientific concepts for both technical and non-technical stakeholders
- A detail-oriented scientist eager to work on diverse projects with industrial partners
What you’ll do:
- Perform molecular simulations-focused projects using Schrödinger tools and meet project deadlines
- Develop and enhance Python and Bash scripts for simulation automation and data analysis
- Collaborate with cross-functional teams to identify and implement molecular modeling solutions for various industries
- Present technical results in internal and external meetings.
- Contribute to scientific publications and research projects
What you should have:
- PhD in Chemistry, Materials Science, Chemical Engineering, or related field
- Deep background in molecular dynamics (MD) simulations and its applications in materials science
- Proven expertise in Python scripting, particularly in conjunction with scientific software tools
- Exposure to high-performance computing (HPC) environments and Linux operating systems
- Proven research track record of publications in the computational modeling field
- Experience in simulations related to complex solution or polymers is a plus, but not required
Ready to apply?
Apply to SchrödingerStrategic Deployment Manager, Life Science
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We’re looking to hire a Strategic Deployment Manager to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of our Enterprise Informatics team, you’ll play a vital role in all stages of the Schrödinger Platform deployment for customers, from initial project scoping through to long term successful adoption. By serving as the bi-directional voice for these customers, you’ll also help drive future product development strategy.
Click here for more information about how the Schrödinger Platform is helping shape the future of collaborative therapeutic design.
Who will love this job:
- A pharmaceutical or chemical enterprise software technology expert who’s knowledgeable about industry best practices and enjoys interacting with medicinal chemists, computational chemists, biologists, and project leadership
- A scientist who understands project management in a corporate research setting (direct experience with pharmaceutical drug discovery is a huge plus!)
- An effective communicator with excellent organizational skills
- A customer-service oriented deployment manager who’s passionate about helping drive user success
What you’ll do:
- Manage LiveDesign implementation projects from early-stage discussions through deployment, training, and growth
- Ensure long-term customer success through use of the Schrödinger Platform
- Collaborate internally with Account Managers, Applications Scientists, Solutions Architects, and the Education team to ensure success of the account by enabling substantial growth and usage
- Help drive the product roadmap and development by working closely with product management and engineering, representing real-world customer needs
What you should have:
- B.Sc. in a life science (M.Sc. or Ph.D. preferred)
- At least three years of experience in a life sciences field related to drug discovery
- Experience with computational chemistry or cheminformatics in a research setting
Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Administrative and Human Resources departments also plan a myriad of fun company-wide events. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.
Sound exciting? Apply today and join us!
Ready to apply?
Apply to Schrödinger