Professional and Industry Employment Opportunities

The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, education and services at local, national and international level. 950 staff and students from 95 nations work at Swiss TPH focusing on climate change, environment and health, infectious and noncommunicable diseases, societal and cultural context, and health systems and policies.

The Department of Epidemiology and Public Health (EPH) investigates distribution and causes of infections and non communicable diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from anthropology and social science to biostatistics and mathematical modelling as well as observational cohorts with biobanks.

Swiss TPH harbors unique national and international research infrastructures (vector biology facilities, population surveillance and cohort infrastructures) as well as strong and partner networks relevant for the generation of new evidence and its application to impact.

The Unit Disease Modelling as part of the Department of Epidemiology and Public Health (DEPH) closely collaborates with other units and departments at Swiss TPH. We are looking for a highly skilled and motivated individual with a strong research profile and a collaborative leadership style to join our team as the Head of Unit Disease Modelling (100%).

This is a senior leadership role responsible for overseeing and advancing disease modelling research, ensuring its alignment with the DEPH strategy, and fostering collaborations across various disciplines and sectors.

YOUR VARIOUS RESPONSIBILITIES INCLUDE:

• Lead and manage a team with diverse scientific and project management staff to ensure high-quality output and innovative approaches in disease modelling research
• Oversee the development and application of mathematical and statistical models to understand the dynamics of malaria and neglected tropical diseases and contribute to equivalent modelling to understand additional infectious and non-communicable diseases and their risk factors
• Publish research findings in high-impact journals and present at national and international conferences
• Foster strong collaborations with internal teams and external academic institutions, as well as with governmental bodies, non-governmental organizations and international health organizations
• Secure funding through grants and partnerships to support the unit’s research activities
• Serve as a subject matter expert, providing guidance and consultation to internal and external stakeholders and policymakers
• Contribute to teaching and training at undergraduate, graduate, and postgraduate level

YOU SHOULD HAVE THE FOLLOWING EXPERIENCES AND SKILLS IN:

• PhD or equivalent in Mathematics, Statistics, Epidemiology, or a related field with proficiency in relevant programming languages and software (e.g., Python, R, MATLAB)
• At least 5 years of experience in malaria and/or neglected tropical disease modelling with strong research background and focus on mathematical and computational modelling. This must include both methodological development and model application to questions of public health relevance.
• Proven track record of leading research teams, managing complex projects and showing strong collaborations across disciplines
• Solid track record of funding acquisition, including large competitive grants
• A publication record of high-quality and impactful publications
• Distinct teaching portfolio with experience in developing and teaching courses with the ability to convey complex concepts to diverse audiences as well as at least 5 years of supervision experience of PhD and MSc student
• Experience in providing guidance on global policy, including WHO guidelines and policy briefs, and national policy on malaria and NTD control and elimination

WHAT WE OFFER:

• Meaningful work in an internationally renowned institute where you will be part of an intrinsically motivated, multidisciplinary and multicultural organisation dedicated to creating a healthier world for all.
•  A challenging job in a collegial environment that will develop you both professionally and personally
• Attractive employment conditions with flexible work schedule and promotion of good work-life balance
• Interesting encounters with people from a wide variety of backgrounds, countries and level of hierarchies
• A state-of-the-art workplace in our new building with its own canteen on the dynamic BaseLink site in Allschwil

JOB CONDITIONS:

• Start Date: 1 January 2025 or upon agreement
• Duration: permanent contract
• Percentage: 100 %
• Location: Allschwil
• Travel required: up to 40% of time
• Internal job title: Head of Unit

HOW TO APPLY:

Please submit your application online via https://jobs.swisstph.ch/Jobs/All with:

• CV
• Motivational letter including names and contact information (email or phone) of 1 – 2 references
• Reference letters and diploma

Swiss TPH strives to create an inclusive environment that welcomes and values diversity in all its forms, including gender, race, ethnicity, disability, sexual orientation, and socio-economic background. We are committed to ensuring equal opportunities for everyone, and we actively work to eliminate barriers to underrepresented groups in global health leadership. Together, we can make the world a healthier place. 

We look forward to receiving your application.

Please note that we can only accept applications via our online recruiting tool. As long as the position is online on our company website, we are open for new applications. Applications via e-mail or externalrecruiter will not be considered.

CONTACT:

Sonja Bühler, Lead Recruiting Partner, +41 61 284 87 78

Position Description

The Department of Statistics seeks to fill multiple open rank tenure-track faculty positions. Successful candidates will be expected to contribute to the research, teaching and service missions of the department. Candidates with expertise in all research areas of statistics are encouraged to apply. The appointment will be at a level commensurate with the applicant’s experience. Senior applicants must specify the desired appointment rank in their cover letter.

Education and Experience Requirements

Required: A Ph.D. in Statistics or related field by the start of employment. 

Desired: We expect a commitment to methodological research and scientific collaboration and to the development and delivery of courses at both the undergraduate and graduate levels. Applicants at the Associate or Full rank are expected to have established an excellent record of research, mentorship, teaching and service to the profession. Candidates should demonstrate a commitment to building a culturally diverse intellectual community, in line with OSU’s Shared Values, and complement current faculty. 

How to Apply

Please follow this link for a full description of the positions and application instructions.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability, ethnicity, gender, gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, or veteran status.

Assistant or Associate Professor, Research Scholar Track in Biostatistics

The Department of Biostatistics at the Brown University School of Public Health is seeking exceptional candidates at the rank of Assistant or Associate Professor of Biostatistics on the Research Scholar Track to provide statistical leadership and expertise in study design and data analysis in research related to cancer and oncology. The position is jointly funded by the School of Public Health and the Legoretta Cancer Center in the Warren Alpert School of Medicine. The primary appointment is in the Department of Biostatistics, with a secondary appointment in the Legoretta Cancer Center.

Position Requirements: The new faculty member will be expected to develop a program of research in statistical methodology and interdisciplinary research related to cancer and oncology, and to work with leadership of the Legoretta Cancer Center (LCC) and the Department of Biostatistics to develop a shared resource for biostatistics for the Cancer Center. Specific duties would include collaboration with LCC investigators on funded research projects and newly-proposed projects, development of new statistical methods that address specific questions arising in cancer research, and eventually, scientific leadership of a biostatistics shared resource. Although the appointment is on the Research Scholar track, there are opportunities for teaching and student supervision in the Department of Biostatistics.

Qualifications include a PhD degree or equivalent in biostatistics, statistics, machine learning, computer science, or related quantitative field with considerable knowledge and experience in statistical computing. Candidates with
experience and interest in statistical and data science methods for cancer research are especially encouraged to apply.
Key areas of emphasis include clinical trial design and analysis, analysis of observational data such as surveillance data
and electronic health records, methods for multi-omics data, and design and analysis of pre-clinical investigations. Brown University has prioritized cancer research for investment and growth; the environment at Brown and the Legoretta Cancer Center offers numerous opportunities for developing a substantive program of methodological and collaborative research. Excellent oral and written and communication skills are required.

Candidates at the Assistant Professor level should provide evidence of outstanding research potential, including experience with or aptitude for interdisciplinary research. Candidates at the Associate Professor level should demonstrate evidence of a nationally-recognized program of research in statistical methods and applications, demonstrated through peer-reviewed publications and evidence of funding. All candidates should indicate their interest in cancer-related research and must show evidence of excellent oral and written communication skills.

The Department of Biostatistics believes that diversity, equity, and inclusion are essential to achieving our mission of advancing scientific knowledge and improving human health. We are committed to creating a welcoming and supportive environment that values and respects the diverse backgrounds, experiences, and perspectives of all members of our community. We recognize that diversity encompasses a wide range of characteristics and believe that a diverse and inclusive community fosters creativity, innovation, and excellence in research. The Department is dedicated to recruiting and retaining talented individuals from underrepresented groups. 

Salary: Salary is competitive and commensurate with experience. Including a competitive full-time benefits package.

Start Date: July 1, 2025

How to Apply: Interested applicants should apply online at http://apply.interfolio.com/148701. Please upload the following: letter of application, a description of current and planned research, and updated curriculum vitae. In addition, candidates should arrange for at least three letters of recommendation to be submitted through Interfolio. Application questions should be addressed to Denise Arver, Administrator, Department of Biostatistics, at Denise_Arver@brown.edu. Applications received by October 15, 2024, will receive full consideration. For more information, please contact Joseph Hogan (jwh@brown.edu).