University of Connecticut, Institute for Collaboration on Health, Intervention, and Prevention

The Rudd Center for Food Policy & Obesity at the University of Connecticut invites applications for a Postdoctoral Fellow position with a preferred start date of January 1, 2020. The candidate will be expected to contribute to the research mission of the center in nutrition, food marketing, and/or health disparities. This is a full time, annually renewable position with a maximum duration of 2 years.

This Postdoctoral Fellow will contribute to research on nutrition, food marketing and health disparities under Dr. Frances Fleming-Milici, Assistant Research Professor, Rudd Center for Food Policy & Obesity.

DUTIES AND RESPONSIBILITIES

Responsibilities include nutritional analyses, quantitative and qualitative data collection, data analyses, literature reviews, grant writing, and writing scientific papers. Additional duties include supervising and mentoring undergraduate and graduate students, including dietetics interns’ research rotation.

MINIMUM QUALIFICATIONS

Ph.D. in Nutrition, Public Health, Public Policy, Psychology, or related field completed within the past 2 years
Registered Dietician
Proficient in SPSS, SAS, STATA or other statistical software programs
Strong analytical and statistical skills (e.g., multivariate analyses)
Strong oral and written communication skills

PREFERRED QUALIFICATIONS

Candidates whose research interests intersect with those of supervising faculty
Ability to work independently
Excellent organizational skills
Excellent interpersonal skills
Experience presenting research to a range of audiences
Experience computing and evaluating nutrient content and nutritional quality of food and dietary patterns (e.g., HEI, DQI-I, DRI)

APPOINTMENT TERMS

This is a full-time, annually renewable position based in Hartford CT.

TO APPLY

Select “Apply” to be redirected to Academic Jobs Online to complete your application. Please submit a cover letter, curriculum vitae, research statement and examples of recent publications, and names and contact information for three references. Evaluation of applicants will begin immediately, and will continue until the position is filled.

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. (Search #2020144)

All employees are subject to adherence to the State Code of Ethics, which may be found at http://www.ct.gov/ethics/site/default.asp.

For more information and to apply, click HERE.

Health Planner III, Maryland Department of Health

Main Purpose Of Job
The main purpose of this position is to assist in the development of plans, monitor grants related activities, including programmatic, fiscal and contractual to ensure compliance with federal, state and Departmental requirements. This position also oversees specific activities related to Health System Preparedness in Maryland as instructed and assists in the development of health systems emergency preparedness, response and recovery plans.

Minimum Qualifications
Education: Possession of a Bachelor’s degree from an accredited college or university in Health Planning, Public Health, Health Science, Hospital Administration, or Health Care Administration.

Experience: Three years of professional experience in health planning.

Notes: 1. Possession of a Master’s degree from an accredited college or university in a field identified above may be substituted for one year of experience.

2. Possession of a Doctorate degree from an accredited college or university in a field identified above may be substituted for three years of experience.

3. Possession of a Bachelor’s degree from an accredited college or university and one year professional experience in health planning may be substituted for the required specialized Bachelor’s degree.

4. Applicants may substitute experience in health or hospital administration for the required experience on a year for year basis, provided the applicant has at least one year of professional experience in health planning.

5. Health Planning experience obtained in a State Health Planning and Development Agency or in a Health System Agency as designated by Public Law 93-641 may be substituted at the rate of three months for four months of the required experience.

6. General Health Planning experience as required above is defined as experience obtained in a professional capacity in an operation established solely for the delivery/evaluation of health services (e.g. Hospitals, H.M.O.’s, Insurance Companies). Such experience must have been the primary purpose of the position during the time in question. Health Planning duties which are performed only incidentally are not considered as qualifying.

Qualifications
The desired candidate should have experience in the development of health systems emergency preparedness, response and recovery plans.

For more information and to apply, click HERE.

Senior Data Scientist, CAMRIS

Overview
CAMRIS is an international development and research firm that realizes innovative solutions to health and development challenges through high-quality, cost-effective program and research management services. With experience working in more than 80 countries, we combine our proven systems with today’s most effective, evidence-based best practices to improve the lives of people around the world.

The United States Agency for International Development (USAID) has contracted through Social Solutions International partnered with CAMRIS, to recruit and hire qualified individuals for the following position:

Office of Professional Development and Management Support, Bureau for Global Health, United States Agency for International Development

Title: Senior Data Scientist

GS:14 $117,191.00-$152,352.00

Application Deadline:Open until Filled

INTRODUCTION

The U.S. President’s Malaria Initiative is the US Government’s (USG) flagship global malaria initiative led by USAID and implemented together with the Centers for Disease Control and Prevention. The Initiative is results-based, focused, and exhibits a high level of financial and programmatic accountability. In 2015, PMI launched the next six-year strategy, setting forth a new bold vision, and an ambitious goal with specific objectives. The PMI Strategy for 2015-2020 takes into account the progress over the past decade and the new challenges that have arisen, and reflects the U.S. Government’s commitment to work with PMI-supported countries and partners to further reduce malaria deaths and substantially decrease malaria morbidity working toward the long term vision of a world free of malaria.

BACKGROUND: BUREAU FOR GLOBAL HEALTH/OFFICE OF INFECTIOUS DISEASE/DIVISION OF MALARIA

The Bureau for Global Health (GH) serves as the Agency’s primary source of intellectual capital, technical leadership, and donor coordination for the health sector. GH is vested with the responsibility for advancing field-relevant, state-of-the-art research and the transfer of new technologies and approaches to field programs and in technically and programmatically supporting USAID Mission health program implementation in the field. The Office of Infectious Disease (ID) is one of GH’s eight offices. The Malaria Division is one of four divisions of the ID Office. Leadership, management, and oversight of PMI are carried out from the Malaria Division under the leadership of the US Global Malaria Coordinator as are management of USAID’s malaria research investments (most notably vaccine, drug, and insecticide research programs) and USAID’s global partner engagement including WHO and RBM Partnership to End Malaria.

To succeed in eliminating malaria, countries and their partners need to deploy the right resources at the right place and at the right time. By getting better, more accurate insights from existing data and accelerating the data-to-action cycle, countries and their partners can better respond to changes in on-the-ground conditions. That is why, in 2018, PMI began a major transformation toward greater use of data to inform decisions on resource allocation. As part of this new effort, PMI launched a new quarterly reporting process to ensure operational decision-making is based on timely and granular malaria data. In addition, at the headquarters level, PMI is developing a web-based data platform (“PMI Data Lake”) with analytics tools that will facilitate the triangulation and use of relevant datasets, including visualizations of epidemiological, supply chain, entomological, demographic, programmatic, and financial data. Building on decades of investments in malaria surveillance, monitoring, and evaluation, PMI is also expanding its support for the strengthening of malaria-related data systems and building institutional capacity within ministries of health and national malaria control programs to improve data quality and use.

Responsibilities

As a key member of the Data Integration team, the Senior Data Scientist will provide subject matter expertise to support PMI’s increased focus on enhancing data-driven decision-making internally and externally within focus countries.

Specifically, the Senior Advisor will:

Technical Leadership

Carry out rigorous, quantitative analyses and triangulation of data from a variety of sources (e.g. financial, programmatic, epidemiological, entomological, supply chain, demographic) to unearth implementation obstacles and opportunities, and employ cutting edge approaches and tools to generate compelling data visualizations.
Undertake innovative applied statistical and computational methods and application of model-based statistics, addressing issues such as sample bias, spatial dependence, and model validation, to better map malaria related data.
Implement, document, and test relevant computer code (in R, Python, C++, SQL or equivalent) to make the new methods and model features available to the broader team and broader audiences.
Perform data quality checks on existing datasets used in epidemiological and statistical analyses and improve existing tools for automating data validation processes.
Lead discussions and communicate highly technical information to both subject matter expert and non-expert audiences about quantitative analyses in order to interpret, vet, improve, and finalize results, and to formulate sound conclusions.
Actively engage and coordinate efforts with the Malaria Modeling Consortium to integrate methods and results of separate workstreams.

Country Support

Provide technical and programmatic support to one or more PMI focus countries and participate as an integral member of one or more inter-agency country support teams.
Provide guidance and support to Missions and PMI country teams on the development of annual country malaria operational plans and assist in monitoring and tracking overall progress of PMI plans and activities.
Provide advice and technical assistance to Missions involved in malaria efforts, particularly the PMI-targeted countries in sub-Saharan Africa.
Provide support to Missions by participating in country support teams, reviewing mission strategies and annual reports and helping them to meet needs for technical and programmatic support.

Qualifications

Minimum of a Master’s degree (PhD preferred) in applied quantitative discipline such as, but not limited to, statistics, economics, computer science, ecology or epidemiology from a recognized institution.
9 Master’s degree and 9+ years relevant experience or equivalent combination of education and experience or Bachelor’s and 11 years.
Practical experience in statistical inference, space-time mathematical models, or infectious disease modeling. Experience with machine learning and data mining
Extensive experience with data wrangling, analysis and visualization using leading tools (such as at least of the following Tableau, Power BI, R, D3.js, or similar). Data analytics and visualization proficiency will be tested.
Demonstrated ability to securely and efficiently manage large, disparate datasets, and problem-solving skills working on complex projects in a highly sensitive environment.
Experience facilitating data analysis projects through rapid prototyping sprints, iterative design and execution, delivery and on-going support in a dynamic and agile environment with changing requirements and priorities.
Experience with spatial data objects (e.g., shapefiles, rasters), survey data (e.g. DHS, MIS) and/or administrative data (e.g., HMIS, DHIS2) from health facilities is preferred.
Ability to work under pressure and in teams.
Ability and willingness to travel internationally, approximately 15%.
US Citizenship or US Permanent Residency.
Ability to obtain and maintain a Secret security clearance or at minimum a FAC.

To apply, click HERE.

Mathematical modeling of host-parasite dynamics, PhD positions

The Hall Lab (halllab.ecology.uga.edu) is seeking to recruit Ph.D. students who are passionate about mathematical modeling of host-parasite dynamics for admission in fall 2020. Successful applicants will join multi-disciplinary teams working on exciting projects funded through the National Science Foundation’s Dynamics of Integrated Socio-Environmental Systems, Ecology and Evolution of Infectious Diseases, and Population and Community Ecology programs. Positions are available for the following three projects:

• Modeling habitat and coinfection as drivers of heterogeneity in infection processes, applied to transmission of Puumala hantavirus in voles in Finland. For project details, click HERE.

• Modeling the socio-ecological dynamics of land use change and infectious diseases, with application to transmission of Chagas disease and leishmaniasis in Panama. For project details, click HERE. 

• Modeling interactions between resident and migratory populations and the consequences for parasite infection, with application to North American monarch butterflies and their protozoan parasites. This position will be co-mentored by Dr Sonia Altizer (www.altizerlab.org).Click HERE for project details.

Students will join the world-class Ecology graduate program at the Odum School of Ecology (ecology.uga.edu), and may also be eligible for admittance to the NSF-funded Graduate Research Training program in Interdisciplinary Disease Ecology Across Scales (ideas.ecology.uga.edu) or the Integrative Conservation Program (icon.uga.edu) at UGA. We seek motivated graduate students with strong interests in applying mathematical models to ecological and epidemiological problems. Prior experience of working with mathematical models is highly desirable. Interested applicants should send a cover letter indicating their research and training interests, and a copy of their CV, to rjhall [at] uga [dot] edu. Applications from students from diverse and underrepresented backgrounds are especially welcome.

For more information, click HERE.

Epidemiologist II – DEP, CPHE

Job Description
Knowesis, a Service Disabled Veteran Owned (SDVO) (CVE certified) and Small Disadvantaged Business (SBA certified 8a), is looking for subject matter experts to supplement and enhance the existing workforce and training and operational support for the U.S. Army Public Health Center (APHC) located at Aberdeen Proving Ground in Edgewood, Maryland. The APHC’s mission is to promote health and prevent disease, injury, and disability of Soldiers and military retirees, their families, and the Department of the Army civilian employees; and assure effective execution of full spectrum veterinary service for Army and Department of Defense Veterinary missions.

We are looking for a Epidemiologist to develop, conduct, and evaluate epidemiologic data and studies in support of public health and oversee the analysis of data and ensure timely dissemination of the results of these studies. The successful candidates will:

Develop and review study protocols, critical literature reviews, direct participation in data collection, and interpretation of study results
Create, manage, and assess databases critical to the mission as well as provide internal/external customer service support
Utilize databases to design studies, answer inquiries, and produce reports
Identifies critical outcome measures, both morbidity and mortality based, for the evaluation of the effectiveness of public health programs
Compares outcome objectives for disease prevention and health promotion programs which will enable comparison with other applicable benchmarks

Experience and Skills
Education and Experience Requirements

Master’s Degree in Epidemiology, Public Health, Biology, Chemistry or other Health Sciences
Field and proven medical and public health experience required
PhD or Medical Degree desired
Prior experience in research design, and the ability to work with data analysis map creation, statistical and scientific software
Expertise using major medical information systems such as MSS Datamart or MHS Data Repository (MDR) Composite Health Care System (CHCS) or AHLTA
Abilty to perform analytical and inferential statistics to include risk ratios, odds ratios, ANOVA, T-test, chi 2, correlation, non-parametric tests, regression and logistic regression, and survival analysis
Fluency with computerized database management and statistical software programs, particularly SAS coding and database management
Demonstrated critical thinking, spoken communication, and writing skills

Benefits
About Knowesis
Founded in 2007, Knowesis Inc. has been providing data driven decisions and solutions to federal healthcare clients from day one. Our core capabilities include analytics and information management, planning and operations, and communication and engagement strategies. Knowesis’ highly qualified, customer-focused professionals are committed to providing information and advice to enable client success through holistic, thorough, thoughtful, and aligned approaches. Our clients leverage these capabilities to support data driven decisions for their key business functions. Knowesis is dedicated to earning the loyalty of clients and staff through work ethic, collaboration, and humility. Our intent is to be a positive impact to our clients, team, and community.

For more information and to apply, click HERE.

Injury Prevention Post Master’s Research

Description
The mission of United States Army Public Health Center (APHC) is to promote health and prevent disease, injury, and disability of soldiers and military retirees, their families, and Army civilian employees; and assures effective execution of full spectrum veterinary services for Army and DOD veterinary missions. Their vision is to be a world-class provider of public health services across the Army and DOD. For more information about APHC, please visit https://phc.amedd.army.mil.

Under the direction of the mentor, the individual will participate with APHC Injury Prevention Division (IPD) scientific teams to collect and analyze information on injuries, fitness, and related programs centered around members of the Armed Services. The candidate will assist with literature review, study design, data collection (which may require travel), data management, statistical analysis with SAS and SPSS, and production of technical reports, publications, and other products. The candidate should have knowledge of descriptive and analytical statistics and their use in SAS and SPSS. S/he must be able to analyze, interpret, write up, and publicly present results.

Appointment Length

The opportunity is scheduled for twelve months and can be renewed up to a total of five years of research participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant.

Participant Benefits

Participants will receive a stipend to be determined by APHC. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:

Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE.
Relocation Allowance
Training and Travel Allowance
Nature of Appointment

The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.

While participants will not enter into an employment relationship with DOD or any other agency, this opportunity will require a suitability investigation/background investigation. Any offer made is considered tentative pending favorable outcome of the investigation.

Qualifications
This opportunity is seeking recent graduates with a masters in public health, epidemiology, exercise science, or related field. To qualify for ORISE, candidates must have completed their degree within the past five years.

For more information and to apply, click HERE.

Injury Prevention Post Master’s Research

Description
The mission of United States Army Public Health Center (APHC) is to promote health and prevent disease, injury, and disability of soldiers and military retirees, their families, and Army civilian employees; and assures effective execution of full spectrum veterinary services for Army and DOD veterinary missions. Their vision is to be a world-class provider of public health services across the Army and DOD. For more information about APHC, please visit https://phc.amedd.army.mil.

Under the direction of the mentor, the individual will participate with APHC IPD scientific teams to collect and analyze information on injuries, fitness, and related programs centered around members of the Armed Services. The candidate will assist with literature review, study design, data collection (which may require travel), data management, statistical analysis with SAS and SPSS, and production of technical reports, publications, and other products. The candidate should have knowledge of descriptive and analytical statistics and their use in SAS and SPSS. S/he must be able to analyze, interpret, write up, and publicly present results.

Appointment Length

The opportunity is scheduled for twelve months and can be renewed up to a total of five years of research participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant.

Participant Benefits

Participants will receive a stipend to be determined by APHC. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:

Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE.
Relocation Allowance
Training and Travel Allowance
Nature of Appointment

The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.

While participants will not enter into an employment relationship with DOD or any other agency, this opportunity will require a suitability investigation/background investigation. Any offer made is considered tentative pending favorable outcome of the investigation.

Qualifications
This opportunity is seeking recent graduates with a masters degree in public health or epidemiology. To qualify for ORISE, candidates must have completed their degree within the past five years.

For more information and to apply, click HERE.

Injury Prevention Postdoctoral Research

Description
The mission of United States Army Public Health Center (APHC) is to promote health and prevent disease, injury, and disability of soldiers and military retirees, their families, and Army civilian employees; and assures effective execution of full spectrum veterinary services for Army and DOD veterinary missions. Their vision is to be a world-class provider of public health services across the Army and DOD. For more information about APHC, please visit https://phc.amedd.army.mil.

Under the direction of the mentor, the individual will participate with APHC Injury Prevention Division (IPD) scientific teams to collect and analyze information on injuries, fitness, and related programs centered around members of the Armed Services. The candidate will assist with literature review, study design, database management, statistical analysis with SAS and SPSS, and production of technical reports, publications, and other products. The candidate should have knowledge of descriptive and analytical statistics and their use in SAS and SPSS. S/he must have experience with inferential statistics including regression modeling, data analysis and interpretation, database creation and management, and reporting in written and oral formats.

Appointment Length

The opportunity is scheduled for twelve months and can be renewed up to a total of five years of research participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant.

Participant Benefits

Participants will receive a stipend to be determined by APHC. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:

Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE.
Relocation Allowance
Training and Travel Allowance
Nature of Appointment

The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.

While participants will not enter into an employment relationship with DOD or any other agency, this opportunity will require a suitability investigation/background investigation. Any offer made is considered tentative pending favorable outcome of the investigation.

Qualifications
This opportunity is seeking recent graduates with a doctoral degree in public health or epidemiology. To qualify for ORISE, candidates must have completed their degree within the past five years.

For more information and to apply, click HERE.

CDC Spatial Epidemiology and Statistics Fellowship

Application Deadline: 10/28/2019 3:00:00 PM Eastern Time Zone

Description
*Applications will be reviewed on a rolling-basis.

A research opportunity is currently available with the Epidemiology and Surveillance Branch (ESB), Division of Heart Disease and Stroke Prevention (DHDSP), within the National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.

The Epidemiology and Surveillance Branch monitors heart disease and stroke patterns and trends through the timely collection, analysis, interpretation, and dissemination of programmatically relevant data.

Under the guidance of a mentor, the selected participant will have the opportunity to gain experience in advanced spatial and spatiotemporal studies of heart disease and stroke morbidity and mortality. These activities may include:

Creating, updating, analyzing and managing very large datasets
Participating in advanced spatial and/or spatio-temporal analyses of heart disease and stroke morbidity, mortality and risk factors using Bayesian and frequentist approaches
Writing summaries of methods, results and interpretations for use in government reports and peer-reviewed articles
Conducting literature reviews
Presenting the results to internal and external audiences, including professional meetings and/or conferences
Anticipated Appointment Start Date: October 28, 2019

This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and CDC. The initial appointment can be up to one year, but may be renewed upon recommendation of CDC contingent on the availability of funds. The participant will receive a monthly stipend commensurate with educational level and experience. Proof of health insurance is required for participation in this program. The appointment is full-time at CDC in the Atlanta, Georgia, area. Participants do not become employees of CDC, DOE or the program administrator, and there are no employment-related benefits.

Qualifications
The qualified candidate should have received a master’s or doctoral degree in one of the relevant fields, or be currently pursuing one of the degrees and will reach completion by the start date of the appointment. Degree must have been received within five years of the appointment start date.

Preferred skills:

Experience analyzing spatial and/or spatiotemporal data
Experience in the management and analysis of large data sets
Knowledge/Awareness of Bayesian statistical methods
Experience using statistical software, such as SAS or R, for data analysis
Experience using ArcGIS or other mapping software package

Eligibility Requirements
Degree: Master’s Degree or Doctoral Degree received within the last 60 months or anticipated to be received by 10/28/2019 11:59:00 PM.

For more information and to apply, click HERE.

Applied Epidemiology ORISE Fellowship in Data Analysis, CDC

Position Title, Department, and Geographic Location

Applied Epidemiology ORISE Fellowship in Data Analysis, CDC Malaria Branch, ATL Roybal campus

Pay range

MPH: $54,095/annum

PhD/DrPH: $78,446/annum

Applicants with prior experience in the qualifications listed below have potential for salary negotiation.

Healthcare plans available.

Preferred/minimum qualifications

Graduation in the previous five years with a degree in epidemiology, biostatistics, or equivalent. Candidates with experience in analysis of large datasets, spatial analysis, and scientific writing will be most competitive.

Brief job description

The CDC’s Malaria Branch is pleased to list an ORISE fellowship position which will focus in training and analysis of large malaria datasets for epidemiological estimates. Field surveys which have collected large amounts of data on individual, community-level, and ecological variables are of great value for determining the incidence and prevalence of malaria in a population. The ORISE position will involve the analysis of these large datasets which have been combined with data from laboratory assays. The fellow will focus on the multivariate and spatial components of these analyses, and will work to prepare manuscripts for submission to peer-reviewed journals.

Application deadline and mechanism

Applications will consist of a CV and inclusion of a brief statement of why the applicant feels they would be a good choice for this position. Letters of recommendation are not required, but will also be accepted. Applications can be emailed directly to erogier [at] cdc [dot] gov and will be accepted through December 13th, 2019. Applicants will receive notice via email by December 20th if they have been selected for in-person interviews.