Principal Statistician

Source Health Economics is a growing HEOR consultancy specialising in systematic review, value communication, health economics, statistics, and health technology assessment. Since we were founded in 2016, we have achieved our planned year‑on‑year growth, allowing many opportunities for personal development.

At Source, we have a technically‑excellent, supportive, and friendly team, and pride ourselves on our inclusive and collaborative culture. Our core values are excellence, balance, and growth. We strive to:

• Deliver excellence for our clients and patients, whilst
• Preserving a good work‑life balance and supporting employee well‑being, and
• Providing opportunities for growth for our employees.

We recruit some of the brightest minds and invest in your professional development.

Source is a fun, personable company, where our technical teams work closely with each other, enabling us all to learn from some of the best minds in the business. We value our employees, and all employees are encouraged to voice their ideas and contribute to business initiatives, regardless of seniority. Source prides itself on its commitment to employee welfare, as evidenced by our high employee retention.

We have open‑plan offices in Oxford and London, with hybrid working. Our contractual working hours are 37.5 hours per week, with flexible start and finish times around our core company hours of 10 am to 4 pm.

Alongside an opportunity to actively contribute to a growing company, we offer a competitive salary, 25 days annual leave plus UK bank holidays, 3 days Christmas closure, option to buy an additional 5 days of annual leave, discretionary bonus scheme, opt‑in employee health insurance, employee life insurance, cycle to work scheme, and above‑average employer pension contributions.

We are looking for an experienced statistician who has an interest in applied statistical methods for evidence synthesis. We are looking for an enthusiastic and motivated individual who is proactive, shows initiative, and has experience in contributing to the design and execution of statistical analyses, reporting results and mentoring fellow statisticians. The role will be based in either Oxford, London or home‑based.

Source is a HEOR consultancy specialising in health economics, systematic review and health technology assessment. At Source, we have a supportive and friendly team who are focused on delivering high‑quality evidence‑based solutions for their clients.

Duties will include:

• Leading on statistical projects, including:
  • Meta‑analysis feasibility assessments and statistical analysis plans (SAP)
  • Writing code to perform analyses including pair‑wise meta‑analyses, network meta‑analyses (NMA), population‑adjusted indirect comparisons, and individual patient data (IPD) analysis
• Undertaking project management activities on statistical projects to ensure quality and timely delivery including:
  • Project planning
  • Client liaison
  • Managing and reviewing the work of other statisticians
  • Quality control
• Leading on the development of evidence synthesis proposals and pitch presentations
• Leading on the development of standard operating and quality control processes for evidence synthesis
• Delivering training to statisticians, health economists, and systematic reviewers
• Line management of small team of statisticians

Skills, Knowledge & Experience

Required:

Education:

Educated to an advanced level:
Master’s degree or above in quantitative discipline.

Experience:

• Previous HEOR industry experience.
• Previous experience with statistical analyses for HTA submission.
• Substantial experience in evidence synthesis techniques, including meta‑analysis, NMA (including time‑varying survival analyses), population‑adjusted indirect comparisons.
• Proficiency with statistical software.
• Extensive experience of generating feasibility assessments, SAPs and technical reports.
• Presentation of complex statistical information and results clearly to colleagues and clients with a wide range of statistical understanding.
• Strong understanding of how meta‑analysis / ITC results inform health economic models.

Leadership and Mentoring:
Some experience in technical and statistical…