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Manager Causal Inference Jobs in Massachusetts (NOW HIRING)

Senior Backend Developer

Cambridge, MA ยท On-site

$131K - $171K/yr

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning ... managing containerized applications in production environments. * Last but not least, passion for ...

Provide direct line management and leadership for Epidemiologists within assigned therapeutic areas ... Demonstratedexpertisein epidemiologic methods, observational study design, causal inference ...

Senior Product Data Analyst

Burlington, MA ยท On-site

$107K - $134K/yr

Knowledge of statistical methods, A/B testing, or causal inference * Exposure to data governance, metadata management, and compliance frameworks (e.g., GDPR, 21 CFR Part 11) Top Outcomes (6-12 Months)

Provide direct line management and leadership for Epidemiologists within assigned therapeutic areas ... Demonstrated expertise in epidemiologic methods, observational study design, causal inference, and ...

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Manager Causal Inference information

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 the most commonly searched types of Causal Inference jobs in Massachusetts? The most popular types of Causal Inference jobs in Massachusetts are:
What are popular job titles related to Manager Causal Inference jobs in Massachusetts? For Manager Causal Inference jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Massachusetts look for? The top searched job categories for Manager Causal Inference jobs in Massachusetts are:
What cities in Massachusetts are hiring for Manager Causal Inference jobs? Cities in Massachusetts with the most Manager Causal Inference job openings:

Senior Backend Developer

PhaseV

Cambridge, MA โ€ข On-site

$131K - $171K/yr

Full-time

Posted 6 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