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Manager Causal Inference Jobs in Boston, MA (NOW HIRING)

ButcherBox

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Emily Strong - Senior Manager, Data Science Location: Watertown, MA (ButcherBox Headquarters) Base ... Exposure to personalization or causal inference machine learning techniques. * Experience working ...

ButcherBox

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

Emily Strong - Senior Manager, Data Science Location: Watertown, MA (ButcherBox Headquarters) Base ... Exposure to personalization or causal inference machine learning techniques. * Experience working ...

Socket.dev

VP Marketing & Analytics

Framingham, MA · On-site

... causal inference, lead scoring, personalization, and more. * Establish scalable reporting ... Exceptional communication, stakeholder management, and executive presentation skills. What's needed ...

Staples, Inc.

VP Marketing & Analytics

Framingham, MA · On-site

... causal inference, lead scoring, personalization, and more. * Establish scalable reporting ... Exceptional communication, stakeholder management, and executive presentation skills. What's needed ...

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How much do manager causal inference jobs pay per year?

As of Sep 9, 2026, the average yearly pay for manager causal inference in Boston, MA is $113,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,800.00 and $126,600.00 per year, depending on experience, location, and employer.

What does a manager causal inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager causal inference?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.

How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What are the most commonly searched types of Causal Inference jobs in Boston, MA?

The most popular types of Causal Inference jobs in Boston, MA are:

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For Manager Causal Inference jobs in Boston, MA, the most frequently searched job titles are:

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The top searched job categories for Manager Causal Inference jobs in Boston, MA are:

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Manager Causal Inference jobs near you

Lecturer on Biostatistics

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Harvard Universityexternal

$135/hr

Full-time

Re-posted 18 days ago

Key responsibilities

  • Teach multiple core and elective courses in biostatistics, health data science, and/or statistical genetics and genomics.

  • Develop and update course materials to reflect evolving methods and best practices, and coordinate instruction across the Department's master's programs.

  • Guide master's students through course selection, academic progress, and capstone or thesis work.

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

83rd of 633 rated colleges and universities

Job description

Position
Details
Title
Lecturer on Biostatistics
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health seeks candidates to fill a non-tenure track faculty position at the Lecturer level with an initial three-year term of appointment. The Lecturer will devote their primary efforts to the educational mission of the School.
The successful candidate will bring a demonstrated record of scholarly excellence, meaningful experience in teaching and student mentorship, and ideally some background in academic program administration. Primary responsibilities include teaching multiple core and elective courses in biostatistics, health data science, and/or statistical genetics and genomics. The Lecturer will develop and continuously update course materials to reflect evolving methods and best practices, play an active role in coordinating instruction across the Department of Biostatistics master's programs, and contribute to educational program administration including curriculum planning and pedagogical innovation.
A significant component of this role involves student advising: guiding master's students through course selection, academic progress, and capstone or thesis work. Together, these responsibilities advance the Department's mission to train the next generation of quantitative scientists and support the School's broader commitment to preparing leaders who can bring rigorous, data-driven thinking to the most pressing challenges in public health.
The Department of Biostatistics offers an exceptional environment to pursue research and education in biostatistics and data science while being at the forefront of efforts to benefit the health of populations worldwide. Our faculty are leaders in the development of methods for the design and analysis of clinical trials and observational studies, missing data, causal inference, precision health, network analysis, computational and systems biology, microbiome analysis, statistical genetics and genomics, mental health, statistical and machine learning methods, and environmental biostatistics. Our innovative approaches to the analysis of massive health-related data are strengthened by a deep foundation in theory and application. The department prides itself on having strong mentoring and a supportive environment for junior faculty. Our unique community provides unparalleled collaborative opportunities with academic departments across Harvard, the Dana-Farber Cancer Institute, and other Harvard-affiliated hospitals.
Basic Qualifications
Qualified applicants will have a doctoral degree in biostatistics, data science, statistics, mathematics, computer science, or a related field. Candidates are required to have their doctoral degree at the time of starting the position.
Additional Qualifications
Candidates must fully satisfy at least one of the following three criteria:
  • Teaching experience: Has evidence of sustained, independent teaching contributions and experience in academic mentorship.
  • Scholarly record and intellectual mentorship: Has conducted peer-reviewed research in a relevant area at an academic institution; has contributed to sponsored research on at least one funded project; and has supervised the research of one or more graduate students or postdoctoral fellows.
  • Academic program administration: Has experience as an academic program administrator or manager of a degree program, with demonstrated responsibility for curriculum, admissions, student affairs, or program operations.

Special Instructions
Applications will be reviewed on a rolling basis, with those submitted by 8/31/2026 given first priority.
Contact Information
Trevor Bierig
Contact Email
biostatjrsearch@hsph.harvard.edu
Salary Range
$135-155k
Minimum Number of References Required
4
Maximum Number of References Allowed
6
Keywords
Biostatistics; data science; statistics; mathematics; computer science; public health; health data science; genomics; genetics; computational biology

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