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Causal Inference Machine Learning Postdoctoral Jobs in Saint John, IN

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

Inference optimization (quantization, speculative decoding, vLLM, Triton) * Experience shipping LLM ... Equipment and learning budget to help you do your best work and keep up with the frontier

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

Inference optimization (quantization, speculative decoding, vLLM, Triton) * Experience shipping LLM ... Equipment and learning budget to help you do your best work and keep up with the frontier

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL

$126K - $166K/yr

Inference optimization (quantization, speculative decoding, vLLM, Triton) * Experience shipping LLM ... Equipment and learning budget to help you do your best work and keep up with the frontier

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

... machine learning pipelines using Vertex AI Pipelines and GCP-native services. * Design automated workflows for data ingestion, feature engineering, model training, evaluation, and inference.

J.P. Morgan

Applied AI/ML Lead

Chicago, IL

Solid Understanding of algorithms in machine learning, AI, and neural network, including Large ... Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc. ABOUT US ...

J.P. Morgan

Applied AI/ML Senior Associate

Chicago, IL

$60K - $61K/yr

Solid Understanding of algorithms in machine learning, AI, and neural network, including Large ... Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc. ABOUT US ...

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All JobsCausal Inference Machine Learning Postdoctoral JobsCausal Inference Machine Learning Postdoctoral Jobs in Saint John, IN

Causal Inference Machine Learning Postdoctoral information

See Saint John, IN salary details

$32.3K

$49.3K

$55.5K

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

As of Jul 20, 2026, the average yearly pay for causal inference machine learning postdoctoral in Saint John, IN is $49,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $51,400.00 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, 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 cities near Saint John, IN are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities near Saint John, IN with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you
Manager, Analytics & Strategy

Manager, Analytics & Strategy

Hopscotch Primary Care

Chicago, IL • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About Hopscotch Primary Care
At Hopscotch Primary Care, we believe great healthcare should be accessible to all people across all communities. Today, almost 20% of Americans live in a rural community, yet only 11% of physicians practice in those same communities. We are on a mission to transform healthcare in rural America. We provide high-quality primary care tailored to meet the needs of our patients through our robust care model and comprehensive care team, delivering care in our clinics, and across settings, and wrapping resources around the patients who need them most.
Our patients and the care teams who serve them sit at the center of everything we do at Hopscotch. Hopscotch Primary Care takes a team approach to serve patient needs and provide the best care possible. Our goal is to provide the care each of us would want for ourselves or for our family members, in the right setting, and at the right time.
Today, we are serving thousands of patients in our value-based care model and the number is growing every day. If you want to bring your experience, skill and passion to make a lasting impact in healthcare, we'd like to meet you.
ABOUT THE ROLE
We are looking for a Manager to support our Analytics and Strategy & Operations teams, both of which play a pivotal role in delivering data-driven insights and driving growth and operational excellence of Hopscotch. This individual will be responsible for leading operational, analytical, and strategic initiatives for high-leverage areas of the business and quickly drive results. The ideal candidate has strong analytical skills paired with first principles thinking and an ownership mentality.
WHAT YOU'LL DO
  • Develop and maintain operational analytics to drive insights and action for key stakeholders across the organization (e.g., leadership, PCPs, clinic teams)
  • Conduct complex, detailed analyses to inform strategic, clinical, and operational decisions
  • Build and maintain complex financial and operational models and reporting to support decision-making
  • Identify and validate new opportunities to apply generative AI to improve access and quality of care
  • Work with the leadership team to pinpoint the highest leverage opportunities and needs across the business
  • Support metric governance program to ensure highest priority metrics are accurate and consistent across the organization
  • Support build vs. buy vs. partner assessments and assist in high-impact capital allocation decisions
  • Monitor regulatory changes and federal/state funding opportunities impacting care delivery, digital health, and value-based models

ABOUT YOU
  • You thrive in the dynamic, fast-paced environment of a start-up
  • You have a high degree of comfort with ambiguity
  • You are a self-starter with an ownership mindset
  • You are results-driven
  • You are extremely detail-oriented
  • You challenge the status quo to figure out the optimal way to execute your work
  • You are an exceptional communicator and can make the complex simple
  • You collaborate effectively with both business and clinical stakeholders
  • You have a low ego and are willing to get scrappy
  • You are passionate about transforming rural healthcare

REQUIRED QUALIFICATIONS:
  • 3-5 years of work experience in fast-paced environment such as management consulting, investment banking, or early-stage startup
  • Experience leading complex, cross-functional initiatives and driving results with minimal guidance
  • Experience presenting to and collaborating with executive leadership
  • High proficiency with Excel, PowerPoint, and AI tools (e.g., ChatGPT, Claude)
  • Strong grasp of statistical concepts and skilled at data storytelling
  • Experience working in digital health, care delivery, or health insurance
  • Familiarity with value-based care and key healthcare industry dynamics/trends

NICE-TO-HAVE QUALIFICATIONS:
  • Proficiency with data querying and scripting languages (e.g. SQL, Python)
  • Proficiency with data visualization tools (e.g. Tableau, PowerBI, etc.)
  • Experience with causal inference and quasi-experimental methods
  • Experience with machine learning techniques

In accordance with the Illinois Pay Transparency Act, we're providing the full salary range for this position. Actual compensation will be determined based on location, relevant experience and qualifications. Most offers will fall within a portion of the listed range. This position has a salary range of $120,000 - $140,000 annually, based on location, relevant experience and qualifications. In addition to base salary, we offer a comprehensive benefits package that includes:
  • Paid holidays + PTO
  • Company sponsored medical, dental, and vision insurance for you + your family
  • FREE short-term and long-term disability insurance
  • FREE $100k life insurance policy
  • 401k plan with 4% company match + no vesting period
  • $720 - $1,000 added to employee Health Savings Account annually for eligible health plans
  • And more!

At Hopscotch Primary Care, we embrace diversity, invest in a culture of inclusion and positivity and encourage all to apply to join our team. You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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