Director, Epidemiology Causal Inference

Key Relocation Sweden AB; Ljungskile; On-site; SEK 1,000,000 - 1,700,000; Full time

Job summary

Key Relocation Sweden AB is seeking a senior epidemiology researcher to lead pharmacoepidemiology and regulatory-grade RWE studies. You will shape causal inference methods, including target trial emulation, and oversee study design and execution across projects.

The role requires at least a PhD in Epidemiology and 10+ years in pharmacoepidemiology with publications, along with strong leadership, collaboration, and client-facing skills. English proficiency is essential; other languages valued.

Qualifications

• PhD in Epidemiology or equivalent; life sciences background.
• 10+ years in pharmacoepidemiology/RWE with publications.
• Strong training in causal inference with applied leadership.
• Solid understanding of good pharmacoepidemiology/RWE practice and networks.
• Attention to detail in complex studies.
• Experience with pharmaceutical industry or pharmacoepidemiology research organizations.
• English as working language; other languages valued.

Responsibilities

• 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 internal scientific capabilities.
• Support interactions with clients and research partners throughout the lifecycle.

Skills

Communication skills

Project leadership

Causal inference

Mentoring

Education

PhD in Epidemiology

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