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Causal Inference Machine Learning Postdoctoral Jobs in Colorado

University of Colorado

Postdoctoral Fellow/Trainee

Aurora, CO · On-site

$49K - $67K/yr

Postdoctoral Fellow/Trainee Position #00848177 - Requisition #39967 Job Summary: As a postdoctoral ... Research plans will include the development of novel computational/biostatistical/machine learning ...

Cisco

Principal Machine Learning Engineer

Denver, CO

$291K - $369K/yr

... and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps ... Learning - Fluency in automated retraining, drift detection, incremental updates, and production ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build ... Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site

$126K - $166K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build ... Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

AI Engineer (Machine Learning / LLMs / Agentic AI) Location: Merrifield, VA (Hybrid or Remote for ... Optimize models for scalability, inference performance, and production deployment. * Evaluate ...

GRVTY

Data Scientist 3

Colorado Springs, CO

Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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Causal Inference Machine Learning Postdoctoral information

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, and why are they important?

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 are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Colorado? For Causal Inference Machine Learning Postdoctoral jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Colorado look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Colorado are:
What cities in Colorado are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Colorado with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you
Postdoctoral Fellow/Trainee

Postdoctoral Fellow/Trainee

University of Colorado

Aurora, CO • On-site

$49K - $67K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

University Of Colorado Boulder rating

8.1

Company rating: 8.1 out of 10

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Job description

University of Colorado Anschutz
Department: Pharmacology
Job Title: Postdoctoral Fellow/Trainee
Position #00848177 - Requisition #39967
Job Summary:
As a postdoctoral research fellow, this position will be responsible for developing and executing research plans designed in collaboration with a talented team of faculty, postdocs, and graduate students. While this position reports directly to Dr. James Costello in the Department of Pharmacology, this position will be in collaboration with the labs of Drs. Greene and Pividori in the Department of Biomedical Informatics. This position will be funded through a grant supported by the NIH, INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE) Project. The ideal candidate will have a background in multi-omic data processing, analysis, and modeling, with a strong interest in understanding molecular mechanisms of disease. Research plans will include the development of novel computational/biostatistical/machine learning methods for the integration of multiple, diverse dataset and the synthesis of hypotheses around the molecular mechanisms that drive the co-occurring condition of interest. It is expected that this position will publish academic research articles and contribute to lab efforts in mentoring students, grant writing, and manuscript review.
Key Responsibilities:
The job is focused on research training at the postdoctoral research fellow level, which includes:
  • Develop collaborative research projects with the research team from the Costello, Greene, and Pividori labs.
  • Develop novel computational methods and models to disentangle the link between the triplication of chromosome 21 and co-occurring conditions in Down syndrome.
  • Write research manuscripts for publication in top journals.
  • Present research findings at local, national, and international conferences and meetings.
  • Supervise and mentor graduate students on the research projects developed in this position.

Work Location:
Hybrid - this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.
Why Join Us:
The Costello lab and the Department of Pharmacology have a long history of successful and NIH funded research. The Department was recently ranked 4th in the country by the Blue Ridge Rankings and Dr. Costello is in the to 10% of researchers nationally. This position will be highly collaborative, so the position will gain training experience by working with the Greene and Pividori labs, who are leaders in their fields of machine learning, computational biology, and statistical genetics. This position will have opportunities to lead their own research projects, develop collaborative projects, publish manuscripts, attend and present at national/international meetings, and help address fundamental questions in understanding the link between the triplication of chromosome 21 and the variable spectrum of co-occurring conditions that arise in Down syndrome. The position will also have opportunities to get engaged with the Linda Crnic Institute for Down syndrome research at CU Anschutz, a leader in Down syndrome research internationally. With over 100 researchers supported through the Crnic Institute, CU Anschutz is an active and engaging research environment for Down syndrome research.
After completion of this position, a successful candidate will produced high-quality, publishable research while taking increasing ownership of scientific projects and developing independence as an investigator. This position will contribute to the design, execution, and analysis of studies, often leading projects and collaborating across interdisciplinary teams. In addition to advancing research, this position will have mentored junior trainees, supported lab operations, and contributed to manuscript and grant development. Completion of this position will prepare the person in this position for the next career stage in academia, industry, or related fields.
Why work for the University?
The University of Colorado offers a comprehensive benefits package. To see what benefits are available for Post-Doctoral Fellows, please visit:
• Payroll & Benefits Orientation for Post-Doctoral Fellows | University of Colorado (cu.edu)
• benefits guide cover-post-doc-2024 (cu.edu)
Qualifications:
Minimum Requirements:
Applicants must meet minimum qualifications at the time of hire.
  • Graduation from an accredited college or university with a PhD in one of these fields of study: Computational Biology, Bioinformatics, Biomedical Informatics, Computer Science, Physics, Engineering, or an equivalent degree.
  • The successful completion of a research project as evidenced by at least one first-authored and published manuscript.

Preferred Qualifications:
  • Proven experience in methods development for multi-omic data analysis
  • Proven experience in disease research
  • A track record in Down syndrome research
  • Demonstrated ability to train researchers in bioinformatics skills and techniques
  • A track record of contributions to proposals for research funding
  • A track record of public speaking for presenting research findings in an academic setting
  • Interest in developing new analytical workflows for emerging technologies (e.g., multiplexed ion beam imaging or single cell technologies)

Knowledge, Skills and Abilities:
  • Excellent communication skills.
  • Proven ability to work independently within a research lab
  • Demonstrated excellence in software development, including an active GitHub account, or equivalent
  • A demonstrated ability to work collaboratively on multiple projects simultaneously
  • An active GitHub repository and experience with working in a software development team
  • A published example of a developed algorithm, pipeline, or database with application to multi-omic or image data. Ideally an R package in CRAN or Bioconductor.
  • Demonstrated ability to train researchers in bioinformatics skills and techniques
  • Experience with project management, including software for tracking projects.
  • A track record of contributions to proposals for research funding.
  • Interest in developing new analytical workflows for emerging technologies.
  • Excellent time management and organizational skills.
  • Experience researching Down syndrome-related questions

How to Apply:
For full consideration, please submit the following document(s):
1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
2. Curriculum vitae / Resume
3. Three professional references including name, address, phone number (mobile number if appropriate), and email addre
Applications are accepted electronically ONLY at www.cu.edu/cu-careers.
Questions should be directed to: James Costello, james.costello@cuanschutz.edu
Screening of Applications Begins:
Immediately and continues until position is filled. For best consideration, apply by June 25, 2026.
Anticipated Pay Range:
The starting salary range (or hiring range) for this position has been established as HIRING RANGE:
$70,000 to $85,000 depending on years of experience at the postdoctoral research level.
The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.
Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.
Total Compensation Calculator: http://www.cu.edu/node/153125
Equal Employment Opportunity Statement:
The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
ADA Statement:
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.
Background Check Statement:
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
Vaccination Statement:
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

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