Academic Position Openings

Applicants are welcome to apply for more than one position, but a separate application will be required for each position.

Research Associate – Bioinformatics Trainer and Analyst

Description:
The Harvard Chan Bioinformatics Core is excited to expand our bioinformatics training program as part of a new collaboration with the Dana-Farber / Harvard Cancer Center (DF/HCC). We are looking for a bioinformatician to join our team in our efforts to provide education and analytical support to the Harvard community. The ideal candidate is enthusiastic about teaching (as demonstrated by their teaching experience), enjoys working in a collaborative environment, and has a background in high-throughput data analysis, specifically for next-generation sequencing (NGS) data. This role provides a unique and rewarding opportunity to train and support world-class researchers making a profound impact on human health.

Qualifications:
You have a background in cancer biology, biomedical or quantitative science and a strong interest in helping biomedical researchers. You have experience with NGS data analysis and enjoy teaching. You thrive on scientific challenges, love sharing knowledge, and enjoy working both collaboratively and independently. You excel at communicating with programmers and wet-lab scientists alike, and are able to explain complex concepts simply in written and spoken form. You are motivated to continually expand your skills and are keen to learn and apply new methods. You have a system for writing good code and managing your data, and see value in enabling reproducible research. You are organized, have strong time management skills and are capable of simultaneously working on multiple projects and meeting deadlines.

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/9711

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.

Information on resources for career development and work/life balance at SPH can be found at: Career development and work/life balance.

Located at the Harvard T.H. Chan School of Public Health, the Harvard Chan Bioinformatics Core (HBC) is a central resource for bioinformatics research, services and training at Harvard and across the Boston biomedical community. We work closely with biomedical scientists to develop and execute innovative workflows to analyze, interpret, visualize and distribute scientific discoveries derived from the analysis of high-throughput data.

Postdoctoral Positions

Postdoctoral Fellow for Microbiome Epidemiology and Bioinformatics

Description:
The Harvard T.H. Chan School of Public Health Microbiome Analysis Core is seeking a postdoctoral fellow for microbiome epidemiology and bioinformatics. The Microbiome Analysis Core, located in the Department of Biostatistics, supports a comprehensive computational and statistical platform for population studies of the human microbiome, its interaction with health and disease, and methods for data mining and machine learning in multi-omic data. This job will entail work with the Microbiome Analysis Core personnel applying and extending microbiome informatics and statistical methods, developed in the Huttenhower lab (e.g. MetaPhlAn, HUMAnN) as well as standards in the field (DADA2, MEGAHIT), to new human microbiome profiles, including microbial communities assayed in disease, animal models, cross-sectional and prospective human cohorts, and associated clinical phenotypes and/or environmental/lifestyle exposure metadata. These studies generally have the goal of identifying features of the microbiome (16S amplicon, shotgun metagenomic, and shotgun metatranscriptomic sequencing, yielding taxa, gene families, enzymes, and/or pathways) associated with various phenotypes, exposures, and/or outcomes. There will be regular interactions with internal and external contacts, including scientists, collaborators, postdocs, students, and clinicians and industry leaders. Optional mentoring and/or teaching opportunities include lab PhD or Masters students, junior researchers, public guest lectures, and short course workshops.

Qualifications:
Doctoral degree in Biostatistics, Bioinformatics, Computer Science, Computational Biology, Molecular Biology, Biology/Life Sciences, or related fields.
Proficiency in R programming and Linux/Unix command line required.
Preference given to candidates with experience in microbiome analysis, ordination and cluster analysis, sequence analysis, intermediate R programming, Python programming, a background in biostatistics, and computing clusters (e.g. Slurm).
Excellence in research, communication, and collaboration skills, as evidenced by publication record.
Ability to handle a variety of tasks, effectively solve problems with numerous and complex variables, and rapidly shift priorities.
Excellent attention to detail is 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/9762

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.

Information on resources for career development and work/life balance at SPH can be found at: Career development and work/life balance.

For more information about the lab, please visit the Harvard Chan Microbiome Analysis Core website at http://hcmph.sph.harvard.edu/hcmac and visit the Huttenhower Lab website at http://www.huttenhower.sph.harvard.edu.

Postdoctoral Research Fellow Positions in (i) Network Science and (ii) Biomedical Smartphone Research

Description:
The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, statistical physics, computer science, or a related quantitative field for two-year Postdoctoral Research Fellow positions. These positions involve developing statistical methods, data analytic tools, and mathematical models for analyzing two different types of systems. In the first area, statistical network science, we develop methods that are at the intersection of statistical learning and network science with applications in social and biological networks. In the second area, smartphone-based digital phenotyping, we develop tools and methods for analyzing data collected by our smartphone platform. Our ongoing applied studies in this area involve diverse patient populations from neurology to psychiatry and oncology. The candidates can focus on one of these areas only or may work across both, depending on interests and expertise.

Qualifications:
Doctoral degree in biostatistics, computer science, applied mathematics, statistical physics, or a related quantitative field. Excellent programming skills in Python or similar language, as well as strong oral communication and writing skills are 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/8588

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.

Information on resources for career development and work/life balance at SPH can be found at: Career development and work/life balance.

For more information about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/.

Postdoctoral Research Fellow / Research Associate Position in Data Science and Smartphone-Based Digital Phenotyping

Description:
The Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, is seeking candidates with a Ph.D. in biostatistics, applied mathematics, statistical physics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow or Research Associate position to work on a digital women’s health study. For general details of the study, including study investigators, please see https://www.hsph.harvard.edu/news/press-releases/harvard-apple-nih-study/. The researcher will work as part of a large interdisciplinary team consisting of epidemiologists, clinicians, biostatisticians, computer scientists, and biomedical engineers to develop and apply methods to data collected by a smartphone or wearable device. This is a very exciting research area for anyone with a serious interest in temporally dense, high-dimensional data and its applications in women’s health. Methodologic challenges within this context will include dealing with missing data and dropout, the development of multi-stage sampling strategies for validation sub-studies, as well as the potential to develop novel data integration methods that link survey and passively collected data with other data types.

Qualifications:
Doctoral degree in biostatistics or statistics, computer science, applied mathematics, statistical physics, or a related quantitative field. Excellent programming skills in Python is essential, and familiarity with big data analysis frameworks, such as Apache Spark, is advantageous. Must be able to work independently and in a team environment and must have strong communication skills. Appointment at the research fellow or associate will depend on prior experience of the successful candidate.

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/9276

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.

Information on resources for career development and work/life balance at SPH can be found at: Career development and work/life balance.

For more information about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/.

Onnela Lab Postdoctoral Research Fellow Position Digital Phenotyping / Smartphone Data Research

Description:
The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for analyzing smartphone data–collected with our high-throughput digital phenotyping platform–in biomedical research cohorts with the goal of establishing more precise and dynamic disease phenotypes. Specifically, this postdoc position will develop statistical methods for harnessing the power of smartphone-based measurement of continuous, unobtrusive, and real-time assessment of social isolation..

Qualifications:
Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication and writing skills are 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/9433

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.

Information on resources for career development and work/life balance at SPH can be found at: Career development and work/life balance.

For more information about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/.

Postdoctoral Research Position in Statistical Genetics and Genomics

Description:
Postdoctoral Research Fellow position in statistical genetics and genomics is available at Harvard T.H. Chan School of Public Health. This position involves developing and applying statistical and computational methods for analysis of high-throughput genetic and genomic data, including Whole Genome Sequencing association studies, integrative analysis of genetic and genomic data high-dimensional phenotype analysis, and genome-wide epigenetic association studies. We seek an individual with strong statistical, computing and genetic backgrounds and who has expertise in statistical and computational methods for big data, statistical genetics and genomics. The work will involve both methodological research with department faculty and collaboration with subject matter researchers.

Qualifications:
Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, strong genetic knowledge, as well as good written and oral communication skills.

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/8842

Additional Information:
Administrative questions regarding this position can be sent to Susan Luvisi at biostat_postdoc@hsph.harvard.edu.
Scientific questions regarding this position can be sent to Xihong Lin
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.
Information on resources for career development and work/life balance at SPH can be found at Career development and work/life balance.

 

Postdoctoral Research Position in Environmental Health and Biostatistics

The Department of Environmental Health together with the Biostatistics Department at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for the analysis of large-scale environmental health data. The Postdoctoral Fellow will work with a multi-disciplinary team to investigate the impact of air pollution and other exposures on risk for and progression of Alzheimer’s disease and related dementias (AD/ADRD), and identify the complex interactions of individual-level, environmental and societal factors that lead to increased vulnerability in AD/ADRD.

The position will be under the supervision of Dr. Antonella Zanobetti in the Department of Environmental Health, and Drs. Francesca Dominici and Danielle Braun in the Biostatistics Department. Applicants should have an interest in applying novel and state-of-the-art statistical and data science methods in environmental health. The specific position involves: (1) analysis of short- and long-term effects of air pollution and temperature on hospital admissions for AD/ADRD in Big Data applications using two cohorts (Medicaid and Medicare enrollees in the continental US), (2) identification of vulnerable subpopulations, (3) exposure-response functions, (4) disentangle the effects of air pollution exposure from other multiple confounding factors (socio-economic (SES), neighborhood-level factors such as green space and noise), (5) development and application of statistical models, including causal inference methods.

Qualifications:

Doctoral degree in Biostatistics, Applied Statistics, Environmental Health, or related field.

Experience in analyzing real data, air pollution health studies, public health, strong programming skills, and strong statistical methods are preferred.

Excellent communication and writing skills desired.

The ideal candidate is an independent, solution-oriented thinker with a strong background in statistical methods and processing very large data sets, applying analytical rigor and driving toward actionable insights and novel solutions.

Duties and Responsibilities
The Post-doctoral Fellow will contribute to the effort of:

  • Data integration from different data sources
  • Analyzing environmental health effects in big data
  • Refine and improve statistical methods to disentangle the effects of air pollution exposure from other confounding factors by leveraging approaches for causal inference and correct for potential outcome misclassification and exposure error
  • Apply machine learning methods to identify co-occurrence of individual-level, environmental, and societal factors that lead to increased vulnerability
  • Collaborate with our biostatistics and data science group
  • Writing scientific articles and research proposals
  • Participate in weekly meetings with supervisors, reporting on work performed and suggesting additional analysis or modifications in current procedures
  • Oversee the activities and mentor other research staff / students.

 Basic Qualifications

  • PhD in Biostatistics, Applied Statistics, Environmental Health.
  • Experience in air pollution health studies.
  • Experience in handling very large spatial datasets.
  • Experience in applied statistics and computational methods.
  • Knowledge of R, SAS, and Python.
  • Interest in open-source software, reproducibility and data management.

Additional Qualifications

  • Familiarity with multiple data science tools and ability to learn new tools as required.
  • Experience with version control systems, in particular Git and GitHub.

To apply

Please submit to Antonella Zanobetti at azanobet@hsph.harvard.edu.

  • a cover letter
  • a curriculum vitae
  • 1 page research statement
  • at least three names for references