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Causal Inference Machine Learning Postdoctoral Jobs in Hillsboro, OR

Pwc

AI Engineer

Portland, OR

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... using quantization, inference acceleration, and model-routing techniques - Designing agent ...

A-dec Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... maintain machine learning models and AI services used in production environments • Design and ... and inference • Evaluate and integrate third party AI platforms, APIs, and tools where ...

Slalom Consulting

General Information

Portland, OR · On-site

$91K - $115K/yr

Awareness of AI, machine learning, generative AI, data platforms, and AI-enabled application ... inference costs, model hosting, caching, vector databases, Retrieval-Augmented Generation (RAG ...

Cisco

Applied AI Scientist

Portland, OR

Develop and enhance distributed training and inference workflows, leveraging data-driven approaches ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Cisco

Applied AI Scientist

Hillsboro, OR

Develop and enhance distributed training and inference workflows, leveraging data-driven approaches ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Varsity Tutors

LSAT Logical Reasoning Tutor

Portland, OR · Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Probability and Statistics: including stochastic processes, classical inference techniques, maximum ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Probability and Statistics: including stochastic processes, classical inference techniques, maximum ...

Intel

AI Infrastructure Engineer

Hillsboro, OR

$170K - $315K/yr

... Intelligence/Machine Learning, or related field and 4+ years experience, Masters Degree and 3+ ... Experience with scale-out inference orchestration across multi-node topologies. You leverage AI ...

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All JobsCausal Inference Machine Learning Postdoctoral JobsCausal Inference Machine Learning Postdoctoral Jobs in Hillsboro, OR

Causal Inference Machine Learning Postdoctoral information

See Hillsboro, OR salary details

$38.7K

$59.1K

$66.4K

How much do causal inference machine learning postdoctoral jobs pay per year?

As of Aug 14, 2026, the average yearly pay for causal inference machine learning postdoctoral in Hillsboro, OR is $59,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $61,500.00 per year, depending on experience, location, and employer.

What is a causal inference machine learning postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Hillsboro, OR look for?

The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Hillsboro, OR are:

Causal Inference Machine Learning Postdoctoral jobs near you

Postdoctoral Scholar

Oregon Health & Science University

Portland, OR

Full-time

Re-posted 23 days ago

Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities

Job description

Department Overview

This position is focused on research-based computational and data-driven analysis of CRISPR screening datasets to study metabolic changes in cancer and other disease systems. Responsibilities include, but are not limited to, processing and analyzing large-scale CRISPR perturbation data, integrating CRISPR screening results with multi-omics datasets, developing computational pipelines to identify metabolic vulnerabilities and regulatory mechanisms, and supporting study coordination, data management, and related regulatory documentation.

Function/Duties of Position
  • Processing and analyzing CRISPR screening data, including data curation, normalization, quality control, hit identification, and downstream statistical analysis using Python, R, and other relevant software tools.
  • Integrating CRISPR perturbation data with transcriptomics, metabolomics, proteomics, and other omics datasets to identify metabolic pathway alterations, gene dependencies, and functional mechanisms.
  • Assisting in the development and implementation of robust computational pipelines, algorithms, and reproducible workflows for analyzing CRISPR-based functional genomics data and metabolic phenotypes.
  • Producing analytical summaries, reports, and data visualizations of CRISPR screening and multi-omics results, including statistical analyses, pathway enrichment results, gene dependency maps, and network-based interpretations.
  • Maintaining rigorous quality control standards, keeping careful records, and working closely with other scientists to coordinate analyses, interpret results, and troubleshoot technical issues.
  • Supporting the interpretation of screening results in the context of metabolic regulation, cellular adaptation, therapeutic response, and disease progression.
  • Working independently within established guidelines, using sound judgment in decision-making, and communicating effectively as part of an interdisciplinary research team.
  • Assisting with documentation and administrative tasks related to data access, protocol compliance, IRB-related paperwork, and other research regulatory requirements as needed.
Required Qualifications

  • PhD Degree in relevant field.

  • Experience or interest in data processing, text, numerical or imaging data analysis.

  • Experience with data analysis, high dimensional clinical or omics analysis, data visualization, and report generation.

  • Organizational skills, MS Office competency. Python, R, MATLAB, and C++ programming. Webserver and database development.

  • Ability to communicate effectively, relay issues and troubleshoot, problem solving abilities, and high attention to detail.

Preferred Qualifications
  • Experience in CRISPR screening data analysis and applications in metabolism related diseases.

  • Experience with data management, and high dimensional data analysis.

  • Experience in software development and/or image analysis pipeline development

  • Experience in machine learning and/or deep learning.

  • Knowledge of cloud computing, large language model, representational learning.
Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: OTHER

What Oregon Health & Science University employees say

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Benefits

Hours and flexibility

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887

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