Applicants are welcome to apply for more than one position, but a separate application will be required for each position.
Open Job Opportunities – Quick Links
Click on a link below to be taken directly to the application. All hyperlinked positions below are currently accepting applications.
Postdoc Jobs:
Postdoctoral Research Fellow for Statistical Methods in Population Health Disparities – Dr. Briana Stephenson
Postdoctoral Fellow – Dr. John Quackenbush
Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics – Dr. Tianxi Cai
Postdoctoral Research Position in Biostatistics – Drs. Francesca Dominici, Rachel Nethery, Danielle Braun
Postdoctoral Research Position in Data Science – Dr. Francesca Dominici
Research Associate/ Research Scientist Jobs:
Research Associate/Research Scientist – Dr. Curtis Huttenhower
Research Associate/Research Scientist (ACTG) – Center for Biostatistics in AIDS Research (CBAR)
Research Associate/Research Scientist (IMPAACT) – Center for Biostatistics in AIDS Research (CBAR)
Research Associate/Research Scientist (IMPAACT)
Description:
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health has an immediate opening in the Center for Biostatistics in AIDS Research (CBAR) for a PhD-level Research Associate or Research Scientist statistician to work in the International Maternal Pediatric Adolescent AIDS Clinical Trials Network (IMPAACT). IMPAACT is a large NIH-funded collaborative clinical trials network with an international research agenda focused on the treatment, cure, and prevention of HIV infection and associated co-morbidities, particularly tuberculosis and viruses other than HIV, in children, adolescents, and pregnant or breastfeeding women. A successful applicant will join over 100 statisticians, epidemiologists, and research staff collaborating on the design, monitoring, analysis, and reporting of Phase I through Phase IV clinical trials, diagnostic studies, and observational studies.
Applicants should have the potential to take a leadership role in IMPAACT and other infectious diseases projects, and the ability to: work as part of collaborative teams in designing, conducting, and reporting results from clinical trials and observational studies; provide the statistical expertise for, and lead the statistical work on, studies including mentoring and supervising other staff; and develop a self-initiated research agenda related to their HIV and infectious diseases research projects. The position may include statistical methods research for someone with an appropriate background. This position provides an opportunity to be a leader in a new generation of statistician-trialists. This is a term appointment, renewable upon mutual consent. CBAR has a hybrid work environment which includes a combination of on-campus/in-person work and remote work.
BASIC QUALIFICATIONS
Doctoral degree in biostatistics or related field. Research Associate position is available for new doctoral graduates. Research Scientist appointment requires at least two years clinical trials or related applied experience beyond doctorate. Applicants should demonstrate evidence of the ability to conduct collaborative and methodological research and work independently in the design, conduct, monitoring and analysis of trial and observational studies. Applicants should also demonstrate strong quantitative and communication skills and have interest in assuming a leadership role. Experience with SAS and multi-center clinical trials a plus.
To apply, visit https://academicpositions.harvard.edu/postings/13651
Research Associate/Research Scientist (ACTG)
Description:
Doctoral degree in biostatistics or related field. Research Associate position is available for new doctoral graduates. Research Scientist appointment requires at least two years clinical trials or related applied experience beyond doctorate. Applicants should demonstrate evidence of the ability to conduct collaborative and methodological research and work independently in the design, conduct, monitoring and analysis of trial and observational studies. Applicants should also demonstrate strong quantitative and communication skills and have interest in assuming a leadership role. Experience with SAS and multi-center clinical trials a plus.
Research Associate/Research Scientist
Description:
Application Procedures:
To apply for this position, submit your application through the Harvard ARIeS: Academic Recruiting Information eSystem at the following link:
https://academicpositions.harvard.edu/postings/11352
Additional Information:
Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.
Postdoctoral Fellow
Description:
We are seeking a candidate with expertise in computational and systems biology to work as part of a multidisciplinary team developing methods relevant to the study of genetics, gene regulatory networks, and the use of quantitative imaging data as biomarkers. Our goal is to use these methods to better understand the development, progression, and response to therapy. The successful applicant will work directly with Dr. John Quackenbush, but will be part of a community of researchers consisting of Dr. Quackenbush, Dr. Kimberly Glass, Dr. John Platig, and Dr. Camila Lopes-Ramos, and members of their research teams.
Basic Qualifications
A PhD in computational biology, biostatistics, applied mathematics, physics, biology, or related fields and demonstrated skill in methods and software development and the analysis of biological data are required.
Additional Qualifications
The ability to work as part of a large, integrated research team and strong verbal and written communication skills are essential. Previous work in cancer biology/cancer genomic data analysis is welcome but not required.
To apply for this position, submit your application through the Harvard ARIeS: Academic Recruiting Information eSystem at the following link:
https://academicpositions.harvard.edu/postings/11790
Additional Information:
Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.
Postdoctoral Research Fellow for Statistical Methods in Population Health Disparities
Description:
The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a Postdoctoral Research Fellowship focused on the development of statistical methods for population health disparities. The postdoctoral fellow will work with Dr. Briana Stephenson and collaborate with a multidisciplinary research team to develop innovative statistical and machine learning methods to address and identify bias and inequities in population health. Areas of interest include: identifying bias in healthcare access and delivery, statistical methods for high-dimensional exposures in minority populations, model-based clustering techniques for understudied populations, and survey sampling methodology for diverse population cohorts. Research applications will utilize data from cancer registries, national survey studies, and large prospective cohort studies. The postdoctoral fellow will develop their research and training agendas through formal mentorship, seminars, conferences, and an Individual Development Plan (IDP) to explore and identify the fellow’s professional needs and career objectives.
Basic Qualifications:
- Doctoral degree in Biostatistics, Applied Statistics, Computer Science, data science or related field
- Experience developing and implementing statistical methods
- Experience analyzing healthcare or population cohort study data
- Strong statistical programming skills (e.g. R, MATLAB, Python, C++, etc.)
- Strong oral and written communication skills
Additional Qualifications:
- Experience implementing Bayesian models
- Experience processing and analyzing large datasets
Special Instructions:
• Cover letter
• Curriculum vitae
• One-page research statement and/or one representative first author publication
• Two references
Application Procedures:
To apply for this position, submit your application through the Harvard ARIeS: Academic Recruiting Information eSystem at the following link:
https://academicpositions.harvard.edu/postings/12614
Additional Information:
Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.
Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics
Description:
A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data.
Basic Qualifications:
Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills.
Application Procedures:
To apply for this position, submit your application through the Harvard ARIeS: Academic Recruiting Information eSystem at the following link:
https://academicpositions.harvard.edu/postings/10604
Additional Information:
Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.