Academic Position Openings

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

Research Fellow Positions

Health Data Scientist

Description:

The Department of Biostatistics at the Harvard T.H Chan School of Public Health invites applications for a Health Data Scientist position to work on software tools for environmental health policy.   The work will involve close collaboration with Drs. Corwin Zigler, Francesca Dominici, and Christine Choirat. The successful candidate will also interact with PhD and postdoctoral students. A special focus will be on the design and implementation of scalable software tools and reproducible workflows.

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

Duties and Responsibilities:

  • The Data Scientist will contribute to the effort of retrieving (via web scraping or REST APIs) and leveraging massive amounts of data (for example, Medicare, Census, EPA Air Quality System, and atmospheric transport and dispersion model outputs) to study the health impacts of air pollution regulations.
  • The Data Scientist will contribute to the efforts of the team in terms of statistical software development, software dissemination, and reproducible research.
  • The Data Scientist will provide high-quality implementations of quantitative models and will also write, and contribute to writing, scientific articles and research proposals. The successful candidate will help developing and maintaining R packages and datasets, and creating innovative web-based data visualizations.

Qualifications:

  • Masters degree in Statistics, Biostatistics, Computer Science, Data Science, or other quantitative field.
  • Strong background in applied statistics and computational methods.
  • Interest in open-source software, reproducibility and data management.

Additional Qualifications:

  • PhD in Statistics, Biostatistics, Computer Science, Data Science, or other quantitative field.
  • Demonstrated ability to contribute to research of new statistical approaches, inference algorithms, and machine learning techniques.
  • Familiarity with multiple data science tools (R, Shiny, GIS, d3, Python, SQL,…), and ability to learn new tools as required.
  • Experience in creating and maintaining R packages.
  • Experience in handling very large (spatial) datasets is highly desirable.

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/7157

Additional Information:

  • The position is funded for one year with strong possibility of renewal.
  • Please submit:
    • a cover letter
    • a curriculum vitae
    • the name and contact information of three references
    • and possibly links to code portfolios such as GitHub

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 Christine Choirat.

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.

Research Associate Position in Biostatistics and Biomedical Informatics

Description:

A 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 medical records 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 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, 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/7156

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 Tianxi Cai.

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 Positions

Postdoctoral Research Position in Bayesian Survival Analysis for Health Policy Research

Description:

The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with PhD in Statistics/Biostatistics for a postdoctoral position. The position involves the development and implementation of methodology for Bayesian analyses of survival data, focusing specifically on competing risks and related problems. The primary motivating applications are in health policy, specifically quality-of-end-of-life care but it is anticipated that the methods should be applicable to a broad range of settings. The successful candidate will work with Dr. Sebastien Haneuse and his collaborators.

Qualifications:

Doctoral degree in Statistics, Biostatistics, or a related field; strong background/expertise in survival analysis; strong computing is desired, along with excellent communication and writing 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/7328

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 Sebastien Haneuse.

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 Big Data Comparative Effectiveness Research

Description:

The Department of Biostatistics (Harvard T.H. Chan School of Public Health) is seeking candidates with PhD in Statistics/Biostatistics/Computer Science for a two-year postdoctoral position. Position involves the development of causal inference methodology with application in comparative effectiveness research in the context of big data.

Qualifications:

Doctoral degree in Statistics, Biostatistics, Computer Science, or a related field; familiarity in Bayesian methods, analyses of observational data, and machine learning techniques are encouraged. Excellent communication and writing skills desired.

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/7158

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.

Postdoctoral Research Position in Survival Analysis and Neurostatistics

Description:

The Department of Biostatistics at the Harvard T.H. Chan School of Public Health) is seeking candidates with PhD in Statistics/Biostatistics for a postdoctoral position beginning July 2016. Position involves the development of methodology to handle survival data with dependent selection, such as dependent truncation, and other complexities. Applications are to neurological data, including Alzheimer’s disease. The successful candidate will work with Prof. Rebecca Betensky and her collaborators.

Qualifications:

Doctoral degree in Statistics, Biostatistics, or a related field; strong background/expertise in survival analysis; strong computing is desired, along with excellent communication and writing 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/7159

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 Rebecca Betensky.

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 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.

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/7155

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 Single Cell Genomics

Description:
One or two postdoctoral positions in computational biology focused on single cell genomics is available at the Guo-Cheng Yuan Lab in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute / Harvard T.H. Chan School of Public Health.

The goal of the Yuan Lab is to develop computational approaches to analyze and integrate genomic data with the aim to elucidate systems-level gene regulatory mechanisms in development and disease. Current projects include single-cell analysis, genome-wide chromatin state characterization, inference of gene regulatory networks, and functional characterization of genetic variants. Detailed description of our research can be found at our group website: http://bcb.dfci.harvard.edu/~gcyuan.

The candidate(s) will develop computational methods for analyzing single-cell transcriptomic and mass cytometry data, with the goals to characterize cellular states and identify rare cell-types, to model the dynamic changes associated with cell-state changes, to investigate the regulatory mechanism at gene expression variation, and to apply this knowledge to stem cell and cancer biology. The candidate will have the opportunity to closely interact with basic biologists and clinical investigators at the Dana-Farber Cancer Institute and Boston Children’s Hospital.

Qualifications:

The successful applicant(s) should hold a doctoral degree or equivalent qualification in computational biology, (bio)statistics, computer science, or a similar field. Candidates holding a degree in biological / medical science are also welcome to apply if they have demonstrated experience in computational or statistical work.

Strong programming (in Python, R, Matlab, or C/C++) and communication skills are required. Previous experience in analysis, interpretation, and integration of genomic, transcriptomic and epigenomic data is also required. Previous knowledge in single-cell biology is highly desired but not required.

Lead author in at least one publication in major peer-reviewed scientific journals.

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/7160

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 Dr. Guo-Cheng Yuan.

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 Biostatistics

Description:

The Department of Biostatistics (Harvard T.H. Chan School of Public Health) is seeking candidates with a PhD in Statistics/Biostatistics for a two-year postdoctoral position. The position will be focused on the development of statistical methods to estimate effects of exposure to environmental contaminants. Problems of particular interest are estimating effects of simultaneous exposure to a large number of environmental agents, methods for adjusting for high dimensional confounding and interacting factors, causal inference for exposure-response functions, and evaluation of interventions to limit air pollution exposure.

Qualifications:

Doctoral degree in Statistics, Biostatistics, or a related field; familiarity in Bayesian modeling, causal inference methods, analysis of observational data, and/or methods spatial/temporal data analysis are encouraged. Excellent programming skills (e.g., in R) and excellent communication and writing skills desired.

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/7270

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.

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.

Qualifications:

Doctoral degree in 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/7174

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/.

 

Biostatistician 2 or 3

Description:

One or more Biostatistician positions are available in the Departments of Epidemiology and Biostatistics at Harvard T.H. Chan School of Public Health. Responsibilities for these positions include statistical analysis of epidemiological cohort and nested case-control studies, power and sample size calculations for new projects, and statistical programming of advanced methods.
Qualifications:

Qualifications include a Masters in biostatistics, statistics, or epidemiology, or training in another quantitative health-related field.  Strong programming skills in SAS, including in-depth knowledge of the macro language and graphics, are required. At least two years of relevant full-time work experience, with SAS as the primary software platform, is required. Excellent written and oral communication skills are a must. Prior course work in epidemiology and experience with epidemiologic data is desired. Excellent organizational skills also needed.
Additional Information:

Scientific questions regarding this position can be sent to Dr. Molin Wang at  stmow@channing.harvard.edu. Applications will be considered as they arrive. To apply, please send your CV, a letter of interest specifically describing your qualifications in relation to those described above, and names and contact information of three references. Application materials should be sent by email to sroberts@hsph.harvard.edu, or mail to:  Biostatistician Search, c/o Suzy Roberts, Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Kresge Building, 8th Floor, Boston MA 02115.

Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.


Research Scientist/Research Associate Positions 

Description:

One or more Research Scientist/Research Associate positions are available in the Departments of Epidemiology and Biostatistics at Harvard T.H. Chan School of Public Health. Responsibilities for these positions include statistical analysis of epidemiological cohort and nested case-control studies, power and sample size calculations for new projects, statistical programming of advanced methods, and collaborating on the development of statistical and epidemiological methods, if there is interest. Projects include substantive research in the fields of chronic disease epidemiology, implementation science, and HIV/AIDs, and methodologic research in survival data analysis, generalized linear models, causal inference and study design.
Qualifications:

Qualifications include a PhD in biostatistics, statistics, or epidemiology, or training in another quantitative health-related field.  Strong programming skills in SAS, including in-depth knowledge of the macro language and graphics, are required. Knowledge of and in-depth experience in a higher-level programming language, such as C or Fortran, is desired. At least two years of relevant full-time work experience, with SAS as the primary software platform, is required for Research Associate positions, and at least 5 years of relevant full-time work experience, with SAS as the primary software platform, is required for the Research Scientist position. Excellent written and oral communication skills and mastery of Microsoft Word are a must. Prior course work in epidemiology and experience with epidemiologic data is desired. Excellent organizational skills also needed.
Additional Information:

Scientific questions regarding this position can be sent to Dr. Molin Wang at stmow@channing.harvard.edu. Applications will be considered as they arrive. To apply, please send CV, a letter of interest specifically describing your qualifications in relation to those described above, and names and contact information of three references. Application materials should be sent by email to sroberts@hsph.harvard.edu, or mail to: Research Scientist/Research Associate Search (please indicate which position you are applying to), c/o Suzy Roberts, Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Kresge Building, 8th Floor, Boston MA 02115.

Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.


Postdoctoral Research Fellow

The Hartmann lab in the Department of Civil and Environmental Engineering at Northwestern University (http://sites.northwestern.edu/hartmann/), in conjunction with the Huttenhower lab at in the Department of Biostatistics at the Harvard School of Public Health (http://huttenhower.sph.harvard.edu), is seeking a postdoctoral research fellow.

This position is for research in the microbiology of the built environment and will encompass multiple projects entailing analysis of primary microbiome samples (16S rRNA gene sequencing, shotgun metagenomics, and metatranscriptomics) as well as meta-analysis of existing built environment microbiome studies. He or she will additionally be responsible for integrating chemical and -omics datasets, refining methods for assessing the viability of environmental microbiomes, and developing models for microbial biogeography and function. Candidates are also encouraged to propose research topics of their own related to environmental chemistry and microbiomes.  The candidate will be located at Northwestern University in Evanston, IL and will be co-supervised by Drs. Erica Hartmann and Curtis Huttenhower.

Requirements:

  • Doctoral degree in Computer Science, Biology, Bioinformatics, Statistics, Biostatistics, or a related field
  • Proficiency in programming for biological data analysis (R, Python, Linux)
  • Experience with analysis of amplicon and shotgun metagenomics data is recommended
  • Strong writing and communications skills

Please submit a cover letter (including a brief but detailed statement of interest), CV, and contact information for at least three references to Drs. Hartmann (erica.hartmann@northwestern.edu) AND Huttenhower (chuttenh@hsph.harvard.edu).  Review of applications will begin November 1 and continue until the position is filled.

For more information about being a Postdoc at Northwestern University, see the Office of Postdoctoral Affairs website: http://www.tgs.northwestern.edu/resources-for/postdocs/index.html

Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

Postdoctoral Research Fellow

Description:

The Huttenhower lab in the Department of Biostatistics at the Harvard School of Public Health (http://huttenhower.sph.harvard.edu) is seeking to fill a position for a Postdoctoral Fellow.

The Postdoctoral Fellow will be responsible for leading bioinformatics for the Inflammatory Arthritis Microbiome Consortium, a collaboration between HSPH, New York University, and the Kennedy Institute of Rheumatology at Oxford University. This will entail substantial travel to and from Oxford, UK, to manage microbiome data analysis for clinical and in vitro samples from arthritis patients and experiments across England. Samples to be analyzed over the three-year lifetime of the project include microbial metagenomics and metatranscriptomics, integration with gene expression data and immunoprofiling, and IgA-seq analysis. The Fellow will also work with clinical teams to carry out microbiome epidemiology and association studies with juvenile- and adult-onset arthritis phenotypes and contribute to microbiome bioinformatics training workshops.

The Huttenhower lab is broadly engaged in methods development for and multiple collaborative studies of the roles of the human microbiome in health and disease, with a focus on computational methods to characterize biomolecular functions within these microbial communities and their interactions with host immunity and genetics. The group works closely with the Broad Institute, the Dana-Farber Cancer Institute, and the broader Boston biomedical and life sciences communities, resulting in a rich environment for quantitative, computational, and laboratory collaborations. Funding for both positions is available for two years, contingent upon annual reviews, with an expectation of extension and expansion for subsequent years.

Qualifications:

Doctoral degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Biology, or a related field; proficiency in one or more statistical or scripting languages appropriate for scalable data analysis (R and/or Python preferred); expertise in programming for biological data analysis; some familiarity with functional genetic and/or genomic data, as indicated by publication record; ability to communicate scientific material and collaborate well.

To apply, please email BOTH Curtis Huttenhower (chuttenh@hsph.harvard.edu) and Nicole Levesque (levesque@hsph.harvard.edu).