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

... data management talent. Cytel careers offer meaningful work and stimulate challenges within a ... Can converse on advanced RWE methods such as causal inference and Bayesian methods with the support ...

Responsibilities include managing junior staff; designing and conducting observational studies; performing statistical analysis-preferably with experience in advanced causal inference methods ...

Research Assistant

Cambridge, MA ยท On-site

$21.25 - $29.25/hr

Analyze, manage, clean, and create datasets * Conduct statistical analyses using languages such as ... Understanding of causal inference methods - randomized controlled trials, difference-in-differences ...

Research Assistant

Cambridge, MA ยท On-site

$21.25 - $29.25/hr

Analyze, manage, clean, and create datasets * Conduct statistical analyses using languages such as ... Understanding of causal inference methods - randomized controlled trials, difference-in-differences ...

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Manager Causal Inference information

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$31.6K

$113.9K

$128.5K

How much do manager causal inference jobs pay per year?

As of Jun 13, 2026, the average yearly pay for manager causal inference in Needham, MA is $113,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $126,900.00 per year, depending on experience, location, and employer.

How does a Manager of 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 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 of Causal Inference, and why are they important?

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.
What are popular job titles related to Manager Causal Inference jobs in Needham, MA? For Manager Causal Inference jobs in Needham, MA, the most frequently searched job titles are:
What cities near Needham, MA are hiring for Manager Causal Inference jobs? Cities near Needham, MA with the most Manager Causal Inference job openings:
Senior Director, Real World Evidence

Senior Director, Real World Evidence

Cytel

Cambridge, MA โ€ข On-site, Remote

Full-time

Posted 16 days ago


Job description

Job Description
Cytel is the largest provider of statistical software and advanced analytics for clinical trial design and execution. For over thirty years, Cytel's scientific rigor and operational excellence have helped biotech and pharmaceutical companies navigate uncertainty, prove value and unlock the full potential of their data.
Come be a part of a team where talent, experience and scientific rigor come together to advance the state of clinical development. As the industry's largest provider of statistical software and advanced analytics, Cytel is home to some of the most innovative, collaborative and rigorous biostatistics, statistical programming and data management talent. Cytel careers offer meaningful work and stimulate challenges within a welcoming and diverse global culture.
Whether your specialty is biostatistics, statistical programming, adaptive clinical trial design, clinical data management, Bayesian statistics, real-world evidence, artificial intelligence, health economics, or a corporate function, you will be growing an exciting career while contributing to advancing the future of human health at Cytel.
Responsibilities
  • Act as senior scientific oversight in RWE projects using retrospective EHR or claims data, including but not limited to comparative effectiveness studies, treatment patterns and healthcare cost and utilization studies, post-authorization studies (PASS), real-world data landscaping and feasibility studies, ECAs and TTE and development of evidence generation plans for our pharmaceutical clients. Can converse on advanced RWE methods such as causal inference and Bayesian methods with the support of a senior biostatistician expert.
  • Lead growth in collaboration with subject matter experts and business developers, by connecting to clients and leading proposals alongside our business development team.
  • Serve as thought leader and subject matter expert in real-world evidence. Undertake external visibility engagements (conference presentations, webinars, peer reviewed publications and white papers etc.) to increase recognition of Cytel RWE that leads to new business.
  • Assume overall responsibility for team or area of responsibility, providing the vision and leadership to guide and ensure appropriate career development as well as profit & loss (P&L) management for the RWE team in North America.
  • Provide oversight and direction to employees in accordance with the company policies and procedures. Provide close scientific direction in complex epidemiology studies.
  • Lead employees to meet the organization's expectations for productivity, quality, continuous improvement, and goal accomplishment.
  • Solves complex client issues in a timely and appropriate manner with minimal senior management involvement.
  • Responsible for operational responsibilities and activities of the department and provide input to budget as required.
  • Plan and allocate resources to effectively staff and accomplish the work and meet utilization goals.
  • Identify opportunities to improve the efficiency of business processes and procedures to enhance speed, quality, efficiency, and output.
  • Foster a spirit of teamwork and unity among the team that allows for disagreement over ideas, conflict and expeditious conflict resolution, and the appreciation of diversity as well as cohesiveness, support, and working effectively together to enable success.
  • Build, manage and mentor a strong, proactive team. This includes hiring and training staff and developing internship and training programs.
  • Develop, evaluate and validate tools to efficiently and effectively meet project needs.
  • Occasional travel required.

Qualifications
  • Education: Master's or PhD degree in Epidemiology, Public Health, Biostatistics, Data Science, or other relevant scientific fields. MBA, MD or PhD are highly desirable.
  • Experience: 10+ years' experience at a minimum in consulting, clinical trials or health research environment. Previous people management experience required (5+ years).

Skills:
  • Proven record of leading a variety of RWE studies (retrospective and/or non-interventional prospective studies) and experience with advanced epidemiological methods (e.g. target trial emulation).
  • Excellent knowledge of US RWD sources (e.g. contents, quality, process to data access) including administrative claims, electronic health record databases, registries and ability to make recommendations on fitness for purpose for specific RWE studies. Knowledge of non-US databases would be a plus.
  • Thorough understanding of formal guidance on RWE methods by regulatory and reimbursement bodies and trending methodologies.
  • Proven management skills with the ability to build, train, mentor and motivate a team.
  • Thorough understanding of financial reporting, general project management, and accounting principles.
  • Thorough understanding of the biopharmaceutical R&D process in combination with solid business acumen and an appreciation of the broader business issues. Excellent interpersonal, verbal and written communication skills.
  • Excellent critical thinking and problem-solving skills.
  • Influencing skills.
  • Ability to manage multiple and varied tasks and prioritize workload with attention to detail.
  • Financial and business acumen.