1

Phd Program Manager Jobs in Toronto, ON (NOW HIRING)

... PhD program can count toward experience) * Masters or Ph.D in Data Science, Computer Science ... Flexible Time Off - Autonomy to manage your schedule and work-life balance. * Health, Welfare and ...

Manager, Data Science

Toronto, ON · Hybrid

CA$173K - CA$197K/yr

... programs * Managing and developing talent to drive a highly performant and engaged team ... Bachelor's Degree/Master's Degree or PhD in a quantitative field * Experience working with AWS (EC2 ...

next page

Showing results 1-20

Phd Program Manager information

What is a PhD program manager?

A PhD Program Manager is a professional who oversees the administrative and operational aspects of a doctoral (PhD) program at a university or research institution. Their responsibilities typically include coordinating admissions, supporting students and faculty, managing program budgets, ensuring compliance with academic policies, and organizing events or milestones like qualifying exams and dissertation defenses. By serving as a key point of contact, they help ensure the smooth running and continuous improvement of the PhD program.

What are the key skills and qualifications needed to thrive as a PhD program manager?

To excel as a PhD Program Manager, you need a background in higher education administration or a related field, often with a master’s or doctoral degree and experience managing academic programs. Familiarity with student information systems, project management software, and compliance regulations is typically required. Exceptional organizational skills, interpersonal communication, and problem-solving abilities help you support students and coordinate faculty effectively. These skills ensure smooth program operations, enhance student satisfaction, and uphold academic standards.

What are some common challenges faced by PhD program managers in coordinating multi-departmental initiatives?

PhD Program Managers often navigate complex collaborations across various academic departments, which can present challenges such as aligning different departmental goals, managing diverse faculty expectations, and ensuring consistent communication. Balancing the needs of students, faculty, and administrative staff requires strong organizational and interpersonal skills. Effective PhD Program Managers proactively foster relationships, establish clear processes, and adapt to the evolving priorities of academic stakeholders to ensure program success.

What is the difference between Phd Program Manager vs Research Project Coordinator?

AspectPhd Program ManagerResearch Project Coordinator
Required CredentialsPhD or equivalent, project management experienceBachelor's or Master's, research coordination experience
Work EnvironmentAcademic institutions, research organizationsResearch labs, universities, healthcare settings
Employer & IndustryUniversities, research institutes, biotech firmsUniversities, research centers, hospitals
Common Search & ComparisonYesYes

The main difference is that a Phd Program Manager oversees doctoral programs, focusing on curriculum, student progress, and faculty coordination, often requiring a PhD. A Research Project Coordinator manages research projects, handling logistics, timelines, and compliance, typically with a bachelor's or master's degree. Both roles are vital in research environments but serve different functions and require different qualifications.

Is there a PhD in program management?

There is no specific PhD in program management; however, some universities offer doctoral programs in related fields such as organizational leadership, business administration, or management science. These programs can prepare individuals for advanced roles in program management by emphasizing research, leadership, and strategic planning skills.

What jobs can I get with a Phd Program Manager?

A Phd Program Manager typically qualifies for roles such as research program director, academic administrator, or project manager in research institutions and universities. They often utilize skills in leadership, grant management, and strategic planning, and may work in environments that require advanced knowledge of research processes and funding procedures.

What job categories do people searching Phd Program Manager jobs in Toronto, ON look for?

The top searched job categories for Phd Program Manager jobs in Toronto, ON are:

Infographic showing various Phd Program Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Data Scientist

Epistemix

Toronto, ON • Remote

Full-time

Medical, Retirement

Re-posted 27 days ago


Job description

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.

About Epistemix

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.

We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.

Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.

Responsibilities

Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact

  • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making

  • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases

  • Provide guidance for proposals on feasibility of scope and how to ensure impact

  • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform

  • Engage with customer users to provide informal support, tips, and troubleshooting

  • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans

  • Participate in reviews with customers to document and improve measurable impact

  • Provide feedback to Product and Sales teams to align offerings with customer needs

  • Follow advancements in data science, machine learning, and healthcare analytics

Qualifications
  • Commitment to understanding customer needs and helping them achieve goals

  • Creative mindset with a passion for tackling challenging problems with data

  • Ability to collaborate with diverse users and internal teams

  • Strong communication skills: verbal, code, visualizations, and maps

  • Strong foundation in machine learning, data modeling, and predictive analytics

  • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred

  • Comfort working in a dynamic environment with evolving priorities and customer needs

  • Proficiency in Python and associated data science technologies

  • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools

  • Expertise in SQL or NoSQL databases preferred

  • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)

  • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field

  • Experience with more than one company size or business stage preferred

  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Why Join Epistemix?

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

  • Equity & Incentives – Participation in our stock option program.

  • Flexible Time Off – Autonomy to manage your schedule and work-life balance.

  • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).

  • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.