Director, Epidemiology Causal Inference

Key Relocation Sweden AB; Uddevalla kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

The role focuses on pharmacoepidemiology and regulatory-grade RWE studies, leading causal inference methods and target trial emulation. You will design studies, guide analyses, and ensure robust causal inference across the research lifecycle.

Responsibilities include developing study protocols, reviewing outputs, mentoring colleagues, proposing projects, and coordinating with clients and research partners across locations under tight timelines.

Qualifications

• PhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued.
• Experience leading pharmacoepidemiology or RWE projects with publications.
• Strong causal inference training with leadership and collaboration.

Responsibilities

• Lead development of study protocols and contribute to statistical analysis plans.
• Review analytical outputs, interpret results, and develop reports and manuscripts.
• Lead proposals and oversee project delivery from initiation to completion.
• Mentor colleagues and develop internal scientific capabilities.
• Support interactions with clients and research partners throughout the lifecycle.

Skills

Research leadership

Causal inference

Proposal development

Project management

Scientific writing

Client interaction

Communication skills

Education

PhD in Epidemiology or equivalent

Job description

We are looking for an individual with the right combination of skills and experience to support our research focused on the strategy, design, and implementation of pharmacoepidemiologic and other regulatory-grade real-world evidence (RWE) studies.

In this role, you will provide leadership in causal inference methods, including target trial emulation, and guide the design and implementation of these research activities, ensuring robust application of causal inference throughout the research process.

You will:

• Lead the development of study protocols and contribute to statistical analysis plans.
• Review analytical outputs, interpret results, and develop study reports and manuscripts.
• Lead proposal development and oversee project delivery from initiation to completion.
• Mentor colleagues and contribute to the development of internal scientific capabilities.
• Support interactions with clients and research partners throughout the research lifecycle.

To be successful in this role, you will possess:

• Strong written, verbal, and presentation skills, with the ability to communicate effectively in a collaborative, cross-functional environment.
• The ability to establish and maintain effective working relationships with research and operations staff, partners, and clients across multiple locations and under tight timelines.
• Experience leading projects, including document writing, budget planning, proposal development, and project communications, and the ability to support other project leads when needed.

What You’ll Need

• PhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued.
• At least 10 years of experience in the field of pharmacoepidemiology/ regulatory grade RWE with publications in peer reviewed journals and participation in professional societies, and working groups.
• Solid training in causal inference with evidence of applied research leadership and implementation with publications in peer reviewed journals and participation in professional societies, working groups and networks.
• Demonstrated understanding of good pharmacoepidemiology/RWE practice and international research networks in pharmacoepidemiology.
• Ability to perform duties that require close attention to detail.
• Experience working within or with pharmaceutical companies or within an established pharmacoepidemiology research organization is highly valued.
• Working language is English, additional languages valued.