Academic Position Openings

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 (ACTG)

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 ACTG: Advancing Clinical Therapeutics Globally for HIV/AIDS and Other Infections (formerly known as AIDS Clinical Trials Group). ACTG is a very large NIH-funded collaborative clinical trials network with an international research agenda focused on the treatment and cure of HIV infection and associated co-morbidities, particularly end organ diseases, tuberculosis, and viral hepatitis. The successful candidate 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 ACTG 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.
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.

Research Associate/Research Scientist

Description:

OVERALL RESPONSIBILITY
The successful candidate will work with Drs. Curtis Huttenhower and Wendy Garrett on overall scientific coordination for the Harvard Chan Microbiome in Public Health Center (http://hcmph.sph.harvard.edu). This individual will be responsible for high-level scientific planning, reporting, outreach, and mentoring for the project, working with both computational and experimental scientists in multiple labs that are part of the Center. There will be ample opportunities to plan new projects; prepare presentations, proposals, and manuscripts with the Center and affiliated PIs, students, and postdoctoral fellows; funding reporting; and coordinate with the broader HCMPH community.
PRINCIPAL DUTIES AND RESPONSIBILITIES (*Essential Functions)
·   * Deep technical expertise appropriate for project planning, execution, and mentoring in either or both of microbial genetics / molecular biology, or microbial genomics / computational biology. Either mostly-experimental or mostly-computational experience is appropriate, as long as the candidate has some familiarity with the other field.
·   * Regular mentoring of Ph.D. and postdoctoral scientists carrying out microbiome research, which includes bioinformatic screening for microbiome-derived bioactives, microbial and mammalian cellular growth and phenotyping assays, and gnotobiotic mouse screens with Dr. Wendy Garrett and the Harvard Chan Gnotobiotic Facility.
·   * Scientific text preparation, particularly manuscripts with Ph.D./postdoctoral trainees and project reports with Dr. Huttenhower.
·   Development of new HCMPH, and project-specific research goals and methods, and identification of new scientific opportunities and research directions for further exploration.
·   Manages scientific staff and trainees; responsibilities include: hiring, mentoring, career development, and assisting with performance reviews.
·   Regularly interacts with internal and external contacts, including Harvard and Broad scientists, engineers and postdocs, and external clinicians and industry leaders.
·   Oversees data generation and data analysis across various internal and external collaborators for the HCMPH.
·   Collaboration with microbiome-related study and technology platforms at the Harvard Chan School and Broad Institute.
·   Scientific communication, particularly advocacy for the HCMPH and national and international conference and symposium presentations detailing Center research.
·   Outreach to current and potential industry and foundation partners for project and bioactive lead development, including interactions with the Harvard Office of Technology & Development, the Harvard Chan Office of Research Strategy and Development, and the Harvard Chan Office of External Relations.
MINIMUM QUALIFICATIONS
·         Ph.D. in Molecular Biology, Computational Biology, or related fields, with advanced research skills and at least 5 years of related experienceCombination of molecular biology and computational expertise preferred.
·         Experience participating in and/or coordinating collaborative experimental or computational microbiology projects.
·         Excellent record of contributions, publications, presentations and scientific leadership responsibilities; primary or key author on major reports, presentations and papers.
·         Must have the ability to interact with and influence both internal and external interdisciplinary scientists, engineers, and clinicians.
·         Must be able to handle a variety of tasks, to effectively solve problems with numerous and complex variables, and to shift priorities rapidly.
·         Must have excellent staff oversight and mentoring skills.
·         Demonstrated success in working on complex, novel research problems.
·         Creativity, curiosity, and the desire, persistence and ability to create scientific advances in human microbiome science.
Title to be determined based on experience and committee review.

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.

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/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.

For the Research Associate position two years of postdoctoral experience is preferred.

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.