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Contract Causal Inference Jobs (NOW HIRING)

The University of Miami

Data Analyst 3

Coral Gables, FL · On-site

The work is primarily quantitative: cleaning and analyzing data, implementing causal inference ... Serve as Project Coordinator for data contracts the department has entered with public and private ...

University of Miami

Data Analyst 3

Coral Gables, FL · On-site

The work is primarily quantitative: cleaning and analyzing data, implementing causal inference ... Serve as Project Coordinator for data contracts the department has entered with public and private ...

University of Miami

Data Analyst 3

Coral Gables, FL

The work is primarily quantitative: cleaning and analyzing data, implementing causal inference ... Serve as Project Coordinator for data contracts the department has entered with public and private ...

DocuSign

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$186.10K - $300.55K/yr

... and contract lifecycle management (CLM). What you'll do We are looking for a Senior Machine ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186.10K - $300.55K/yr

... and contract lifecycle management (CLM). What you'll do We are looking for a Senior Machine ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186.10K - $300.55K/yr

... and contract lifecycle management (CLM). What you'll do We are looking for a Senior Machine ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...

Docusign

Senior Machine Learning Engineer

San Francisco, CA · On-site

$186.10K - $300.55K/yr

... and contract lifecycle management (CLM). What you'll do We are looking for a Senior Machine ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...

Surya Systems

SR Data Analyst

San Francisco, CA

$101.30K - $127.80K/yr

San Francisco, CA Duration: Long Term Contract Remote Till Covid 19 • Advanced Python for Data ... time decision-making, causal inference, and predictive analytics capabilities through the ...

Mele Accociates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

This position is contingent upon contract award. Essential Functions: * Use advanced data ... Continuing education in econometrics, causal inference, or data visualization tools strongly ...

Mele Accociates

Data Evaluator/Analyst

Washington, DC · On-site

$100K - $110K/yr

This position is contingent upon contract award. Essential Functions: * Use advanced data ... Continuing education in econometrics, causal inference, or data visualization tools strongly ...

Sunrise Systems

Biostatistician

Manhattan, NY · Remote

$84.50 - $98.60/hr

Remote Contract Length: 24+ months on W2 Contract Base pay range: $84.50/hr - $98.60/hr This range ... causal inference. Min 4 yrs experience with advanced statistical models such as mixed effects ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

... Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like customer ... testing, and causal inference. * Strong skills in feature engineering, handling large-scale ...

fphny

Sr. Research Advisor

Astoria, NY · On-site +1

$100/hr

Expertise in quantitative research methods, including causal inference (e.g. propensity score ... This does not constitute a contract of employment. Residency Requirement: You must live in the New ...

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Contract Causal Inference information

What are the key skills and qualifications needed to thrive as a Contract Causal Inference Specialist, and why are they important?

To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.

What are some common challenges faced by professionals in contract causal inference roles, and how can they be addressed?

Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.

What is a Contract Causal Inference specialist?

A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.

Is causal inference growing?

Causal inference is a rapidly growing field within data science and statistics, driven by increasing demand for understanding cause-and-effect relationships in various industries. Job opportunities for roles like Contract Causal Inference analysts are expanding as organizations seek expertise in advanced analytical tools and methods, including machine learning and statistical modeling. This growth reflects the broader trend of data-driven decision-making across sectors.

What is the difference between Contract Causal Inference vs Data Analyst?

AspectContract Causal InferenceData Analyst
Required CredentialsStatistics, Data Science, or related certifications; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, project-based, often in consulting or academiaBusiness environments, analyzing data to inform decisions
Employer & Industry UsageResearch institutions, consulting firms, tech companiesCorporations, marketing agencies, finance, healthcare
Search & Comparison IntentUnderstanding causal relationships, research projectsData analysis, reporting, business insights

Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.

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Infographic showing various Contract Causal Inference job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 10% Part Time, and 30% Contract. Highlights an 40% In-person, and 60% Remote job distribution.
Data Analyst 3

Data Analyst 3

The University of Miami

Coral Gables, FL • On-site

Full-time

Posted 6 days ago

University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

213th of 532 rated colleges and universities

Job description

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The University of Miami's Miami Herbert Business School has an exciting opportunity for a full-time Data Analyst 3 to work on the Coral Gables campus.
Job Summary:
The Data Analyst III will conduct applied empirical research in health economics, health services research, and health policy alongside research-active faculty in HMP. The work is primarily quantitative: cleaning and analyzing data, implementing causal inference methods, producing tables and figures, and drafting sections of manuscripts for peer-reviewed journals and conference presentations. We are looking for a candidate with strong quantitative training and a genuine interest in academic research. The ideal candidate brings not only technical skill but also professional maturity: the ability to take initiative, communicate proactively, exercise sound judgment with limited oversight, and contribute intellectually to the direction of the work. Analysts who substantively shape the research (e.g., helping to frame questions, refine designs, and interpret results) may be eligible for co-authorship on resulting publications.
The position is well suited to candidates at different career stages. Bachelor's- or master's-level applicants considering future graduate study will gain substantial empirical research experience in a pre-doctoral-style role. PhD-level applicants considering tenure-track academic careers will find the position structured similarly to a postdoc, with a primary focus on HMP faculty-led projects. Candidates who wish to build a long-term research career without pursuing an advanced degree are equally welcome. Responsibilities, expectations, and compensation will be calibrated to the candidate's education and experience.
Please include the following information with your application:
  • Cover letter explaining interests in and qualifications for the position, detailed resume, and names and contact information for at least three professional references.

Job Responsibilities:
  • Conduct advanced data analysis with limited direction, including cleaning, coding, documenting, and managing research datasets.
  • Contribute to study design and protocol development, including discussions of causal identification strategies, data requirements, and advanced analytic approaches.
  • Serve as Project Coordinator for data contracts the department has entered with public and private organizations.
  • Conduct literature reviews to inform study design and framing.
  • Summarize data and preliminary findings for faculty and research teams.
  • Maintain reproducible and well-organized code.
  • Draft tables, figures, methods sections, and other components of manuscripts, conference abstracts, posters, and internal memos.
  • Communicate proactively and professionally with faculty and research teams, including timely responses to correspondence and clear escalation when issues arise.
  • Prepare and maintain IRB protocols and related correspondence for projects involving primary data collection.
  • Support study logistics as needed, including participant recruitment, multi-site data collection, and research trainings.
  • Other duties as assigned.

Education Requirements:
  • All levels of education will be considered, with compensation commensurate with education and experience. At minimum, this position requires a bachelor's degree in economics, health policy, public policy, health services research, statistics, or a related quantitative field. A master's degree or PhD in these fields is preferred. Strong quantitative preparation, including coursework in econometrics or an equivalent course on causal inference methods, is required at all levels.
  • A relevant combination of education and experience may be considered.

Knowledge, Skills, and Abilities:
Required:
  • Demonstrated interest in academic research.
  • Strong critical thinking skills and a willingness to problem-solve proactively and independently rather than wait for direction.
  • Ability to manage multiple projects and meet deadlines with limited supervision.
  • Excellent organization, attention to detail, and written and oral communication skills.
  • Prior experience producing research deliverables (e.g., tables, figures, memos, manuscripts).
  • Prior research experience in health economics, health services research, health policy, or a related field.
  • Proficiency in at least one programming language used in empirical research (e.g., Stata, R, Python, SAS, Julia, or similar).

Preferred but not required:
  • Experience with Git/GitHub for version control and collaborative project management.
  • Experience with LaTeX for academic writing.
  • Familiarity with SQL, cloud computing, or text analysis.
  • Familiarity with IRB processes and regulatory requirements for human subjects research.
  • Interest in using AI-assisted programming tools (LLM-based coding agents) to accelerate research work.

The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida.
With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.
We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Staff

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About University of Miami

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The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925

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