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Causal Inference Jobs in Cambridge, MA (NOW HIRING)

PhaseV

Senior Backend Developer

Boston, MA · On-site

$130K - $170K/yr

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the ...

PhaseV

Senior Backend Developer

Cambridge, MA · On-site

$131K - $171K/yr

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the ...

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

$90K/yr

Experience with causal inference , marketing mix models (MMM) , and multi-touch attribution models is highly valued and mandatory to have * An added advantage is familiarity with deep learning ...

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

Experience with causal inference , marketing mix models (MMM) , and multi-touch attribution models is highly valued and mandatory to have * An added advantage is familiarity with deep learning ...

PhaseV

Medical Director

Cambridge, MA

Leveraging advanced causal inference and machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning optimal trials. Our proprietary ML-based ...

PhaseV

Medical Director

Cambridge, MA · On-site

Leveraging advanced causal inference and machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning optimal trials. Our proprietary ML-based ...

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

$90K/yr

Experience with causal inference , marketing mix models (MMM) , and multi-touch attribution models is highly valued and mandatory to have * An added advantage is familiarity with deep learning ...

Bevi

GTM Data Scientist

Boston, MA · Hybrid

Experience with causal inference or marketing measurement methods (e.g., MMM, incrementality testing, difference-in-differences) - comfortable incorporating both digital and offline channels (eg ...

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA

$106K - $132K/yr

Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue * Experience with reinforcement learning for pricing optimization, decision-making ...

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All JobsCausal Inference JobsCausal Inference Jobs in Cambridge, MA

Causal Inference information

See Cambridge, MA salary details

$60.1K

$108.5K

$148.1K

How much do causal inference jobs pay per year?

As of Aug 8, 2026, the average yearly pay for causal inference in Cambridge, MA is $108,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,600.00 per year, depending on experience, location, and employer.

Is causal inference still relevant?

Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.

What skills and qualifications are needed for a causal inference position?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What jobs use causal inference?

Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.

What are common challenges faced in a causal inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What is a causal inference?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What are the most commonly searched types of Causal Inference jobs in Cambridge, MA? The most popular types of Causal Inference jobs in Cambridge, MA are:
What are popular job titles related to Causal Inference jobs in Cambridge, MA? For Causal Inference jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Cambridge, MA look for? The top searched job categories for Causal Inference jobs in Cambridge, MA are:
Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Cambridge, MA as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 68% Physical, 2% Hybrid, and 30% Remote job distribution, with an average salary of $108,457 per year, or $52.1 per hour.

Senior Backend Developer

PhaseV

Boston, MA • On-site

$130K - $170K/yr

Full-time

Re-posted 28 days ago

Job description

About Us

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotech, we are poised to make a significant impact on how drugs are developed and brought to market.

The Position

We are looking for a talented and driven backend developer to join our R&D team. In this role, you will work closely with our data science, algorithm research, and clinical teams to create and refine a state-of-the-art clinical trials platform. You'll take on the exciting challenge of developing an intuitive, efficient, and scalable solution that transforms how drug development clinical trials are designed and executed. This is a unique opportunity to make a tangible impact on cutting-edge healthcare innovation while working at the intersection of technology, data, and medicine.

Duties and Responsibilities

Develop a complex, cloud-based solution, and maintain its high level of quality

Demonstrate a proactive, solution-driven mindset to deliver results.

Help in designing robust, scalable, and testable software solutions in a fast-paced environment

Take an active part in all development phases, including research, design, development, testing

Required Qualifications

  • BSc in Computer Science from a recognized university or equivalent practical experience
  • Substantial experience in server-side development
  • Minimum 5 years of experience in Python development
  • Over 5 years of experience in designing and developing APIs
  • At least 3 years of hands-on experience with both relational and NoSQL databases, demonstrating strong database design skills.
  • 3+ years of experience with AWS, showing proficiency in leveraging AWS services for building and maintaining scalable cloud applications.
  • 3+ years of experience in using Docker and Kubernetes, with a solid track record of deploying and managing containerized applications in production environments.
  • Last but not least, passion for working on a meaningful product with strong independent coworkers.

What We Offer

A chance to be a part of a groundbreaking team in the clinical trial domain.

An innovative and collaborative work environment.

Opportunities for personal and professional growth