Applied Epidemiology Fellowship, CSTE

Eligibility

Fellowship applicants are required to meet all of the following criteria:
Hold a recent MPH, MSPH, MS in epidemiology, or an equivalent degree or advanced degree in a health-related field (i.e., PhD in epidemiology, biostatistics, or other public health field; an MD degree; or a DVM degree)
Recent Graduate: qualifying degree received within the last five (5) years OR
Current Student: completing their final year of their academic program and graduating within the current academic school year (i.e. The 2016-2017 application cycle is open to December 2016 through August 2017 graduates).
Individuals with online and non-US degrees are only eligible if qualifying degree and/or coursework is completed at an institution accredited by the Council of Education for Public Health (CEPH). Please visit the CEPH website for more information about accredited programs.
At least four graduate-level epidemiology courses (completed and/or in progress) and one graduate-level biostatistics course
Demonstrated analytical skills
Desire to pursue a long-term career at the state or local level
United States citizenship
Individuals with online and non-US degrees are only eligible if qualifying degree and/or coursework is completed at an institution accredited by the Council of Education for Public Health (CEPH). Please visit the CEPH website for more information about accredited programs.

Application Components

The application includes the following components:
Identifying information
Education
Professional experience
Program areas of interest
Geographical preferences or needs
Resume or CV
Official transcripts from all degree-granting institutions
Three letters of recommendation
Personal statement
Proof of U.S. citizenship (copy of birth certificate or US passport)

Applicant Selection

All applications that meet the minimum requirements will be formally evaluated by a review committee. The review committee includes representatives from CDC staff, ASPPH affiliates, and persons with past or current experience working as an epidemiologist in a state or local health department. Evaluation criteria for applications include:
Academic achievement
Work/research experience
Writing skills
Career goals
Letters of recommendation
After this review process, top applicants will be selected for in-person interviews. Applicants selected to move forward after interviews will participate in a matching process with host sites which determines final placement.

Available Positions

Applicants apply through CSTE to become selected to participate in the fellowship program and not directly to the host site. Applicants that are selected to move forward to the last stage of fellow selection will complete a host site matching process.

Each year, CSTE receives new applications from host sites. Available positions for the upcoming cohort will be posted between November and December on the Host Site Billets page. Each billet includes information about the host site as well a summary of potential projects and activities the fellow will be involved with during the two-year program. Each host agency must also identify a particular program area in which the fellow will work.

Program areas include:

Birth Defects and NAS
Chronic Disease
Environmental Health
General Infectious Disease
Infectious Disease – Food Safety
Infectious Disease – HAI
Infectious Disease – Quarantine
Injury
Injury – Drug Overdose
Maternal and Child health
Occupational Health
Oral Health
Substance Use/Mental Health

Research Analytic Support

The Health Economics Data Analyst Pool (HEDAP) is a Penn service center supported and managed by LDI to provide LDI-affiliated investigators access to high-quality, skilled data analysts. HEDAP recruits, trains, and manages a group of masters-level and PhD-level statistical analysts. These analysts work with multi-disciplinary investigators across funded projects using statistical software packages such as SAS, Stata, and R to manipulate and analyze health care data under the guidance of the investigators and other collaborators.

HEDAP administrative staff recruits new analysts and manages their effort across various projects. HEDAP administration also facilitates health services research by supporting the professional development of the analysts working on secondary data projects for LDI-affiliated investigators. To help manage HEDAP, users are charged a 12% overhead fee. Peter Groeneveld, MD, MS, runs the HEDAP program. For more information regarding HEDAP, please contact Jibby Kurichi.

If you are an analyst currently looking for a new, exciting place to work supporting health policy-related research projects conducted by investigators at LDI, please send your resume to Abby Kearns. We are looking for analysts who have programming skills using SAS, Stata, or R to create analytical data sets from clinical trials, surveys, and health care claims, to construct and standardize outcome measures and other analytical variables through data cleaning and data manipulation, to provide descriptive and analytical reports, and to perform specialized statistical analyses.

Qualifications include the minimum of a Bachelor’s degree in Math/Statistics, Healthcare Management, Economics or Public Health and 3 years of related experience or an equivalent combination of education and experience required. 

To apply, click HERE.

Research Associate in Global Maternal and Child Health Epidemiology

Description

The HaSET (“happiness” in Amharic”) Global Maternal and Child Health Research Program at the Harvard Chan School of Public Health and Boston Children’s Hospital invites applications for a Research Associate. Our program works closely with partners in Ethiopia and Ethiopia’s Federal Ministry of Health to generate evidence to improve maternal and child health programs and policies. In addition, we provide technical capacity building in program implementation, data analysis, and use of evidence through direct collaborative work and workshops.

Research will be conducted jointly by the Harvard School of Public Health, Boston Children’s Hospital, and several Ethiopian institutions. The Research Associate will provide research and implementation leadership for projects led by Professor Grace Chan, and will work closely with the Boston and Ethiopia teams to oversee study activities. The successful candidate will lead day-to-day scientific activities, including developing analytical plans and conducting statistical analysis; publishing manuscripts; contributing to grants; and collaborating with program managers, data analysts, field implementers, data system developers, students, post-docs and faculty on the HaSET team.

Basic Qualifications
Doctoral qualification in epidemiology, statistics, public health, or a related field with 2+ years postgraduate research experience. The ideal candidate will have experience conducting research in global health, particularly in low-and-middle income countries. Desired skills include:
● Excellent analytical, organizational, and problem-solving skills.
● Expertise leading applied research including the ability to generate research questions, conduct data analysis, and write up results.
● Expert knowledge and practical experience in study design, sampling approaches and sample size estimation, descriptive and advanced statistical methods such as longitudinal data analysis, multilevel modeling, causal inference methods, complex survey analysis etc.
● Experience leading prospective cohort studies and health surveillance systems.
● Experience conducting mixed methods studies and qualitative data collection (e.g. in-depth interviews, focus groups, Delphi methods).
● Experience with scoping and systematic literature reviews (and meta-analysis).
● Expert knowledge of STATA and data management (e.g., web-based electronic data capture system such as REDCAP or ODK).
● Excellent interpersonal and oral and written communication skills.
● Experience leading research in global maternal and child health, particularly in East Africa.

Additional Qualifications
The position is based in Boston with frequent travel to Ethiopia. Commitment is for two years with the potential for renewal.

Special Instructions
Special Instructions PLEASE BE SURE TO INCLUDE THE FOLLOWING WITH YOUR APPLICATION:
1. CV/ Resume
2. Cover Letter
3. Statement of Research
4. Two writing samples
5. Three references

Contact Information
Jenna Daniel, HaSET Program Coordinator

Contact Email jennadaniel [at] hsph [dot] harvard [dot] edu

To apply, click HERE.

ORISE, Office on Smoking and Health (OSH) CDC

OSH has a mission to develop, conduct, and support strategic efforts to protect the public’s health from the harmful effects of tobacco use. Priorities for the division, along with its partners, are to promote tobacco control interventions, including actions to prevent youth from starting to use tobacco, smoke-free environments, programs to help tobacco users quit, and steps to eliminate tobacco-related health disparities in different population groups. The Epidemiology Branch (EB) within OSH has broad responsibility for the Division’s evaluation, surveillance, and research activities. The Research Team, housed in the EB, is the center for the Division’s research activities and works closely with others in OSH to lead and support tobacco control and prevention research. The research team’s mission is to advance scientific evidence to eliminate the burden of tobacco use. We accomplish this through the application of behavioral, epidemiologic, and economic theories, methods, using qualitative and quantitative techniques.

The Research Team endeavors to:

· Provide research technical assistance to internal and external partners.

· Conduct impactful, high-quality research within the overarching impact areas identified by the Division and as described in Epi’s research agenda.

· Provide scientific support and key translation products for the Division’s funded programs

· Conduct systematic reviews on key topics

The ORISE fellow will support the multi-disciplinary Research Team within the Epidemiology branch that provides research support to grantees and partners, conducts research studies, and disseminates scientific information. The fellow will work on several high-priority projects including, but not limited to, doing literature reviews and analyses to understand the prevalence of youth and young adult tobacco cessation behaviors, and which cessation interventions are effective for these populations. The ORISE fellow may also help with ad-hoc analyses and analytic support as needed (e.g. for Surgeon General’s Reports, for congressional/external inquiries).

The fellow will gain experience by:

· Supporting the research work of the Division.

· Providing research technical assistance to internal and external partners.

· Participating in systematic reviews on key topics

· Analyzing data and dissemination results from key Division initiatives such as the National Youth Tobacco Survey and the National Quitline Data Warehouse.

Specific requirements for candidates for CDC OSH Surveillance team:

In general, the ORISE fellow searches, synthesizes and interprets information relevant to advance tobacco prevention and control efforts.  Reviews and analyzes studies and projects assessing public health issues related to tobacco prevention and control in order to make recommendations or processes, procedures and/or policies related to public health programs, practices and research. Communicates information to various audiences. Prepares scientific and other articles and technical reports for publication.

More specifically, the fellow will be trained in surveillance and evaluation, and provide analytic support related to critical priorities of the Office; the fellow will serve a key role in: conducting surveillance, analysis, and research; assist in developing data summaries/briefing documents, authoring (co-authoring) papers and other materials, and supporting activities with internal and external audiences to advance tobacco prevention and control efforts. The fellow will also support the three cycles of National Youth Tobacco Survey (NYTS) – i.e., work on publications based on collected data from past year; day to day survey support for administration of current year’s data; help prepare the data collection of future years.

Desired skills:

1. Strong data analysis skills
2. Experience with following statistical tools: SAS and SAS-callable SUDAAN
3. Good writing skills

Stipend:

1. The initial stipend is determined primarily in consideration of the educational level obtained.
   1. Master’s degree = equivalent to GS-9 step 1
   2. MD/PhD/equivalent = equivalent to GS-11 step 1

MD/PhD equivalent with at least two years of related post graduate work will have a stipend equivalent to GS-12 step 1. Additional steps at this degree level may be added for related post graduate work experience up to a maximum of the equivalent of GS-12 step 4.  Specifically, MD/PhD equivalent with at least three years of related post graduate work will have a stipend equivalent to GS-12 step 2, at least four years GS-12 step 3, and at least five years GS-12 step 4.

How to apply:

1. Send CV to jze1 [at] cdc [dot] gov with subject line: “ORISE fellow candidate”
2. Go to: https://www.zintellect.com/, and register