Public Health Program Associate, RSPH

Overview

Contact Tracing Course for Public Health Professionals, Northwest Center for Public Health Practice

Course Description

Help your public health agency expand their contact tracing efforts and slow the spread of COVID-19. Public health professionals, who might not have experience with contact tracing, can take this course to learn the basics and to be successful in reaching out to community members to save lives.

The course can complement existing disease surveillance systems, programs, and trainings your organization is already using to help monitor the public’s health. It also provides an interactive learning experience through interview skill-building videos, quizzes, and an exercise to practice key decision-making during a contact interview.

Learning Objectives

By the end of this course, you will be able to:

• Define contact tracing.
• Describe the important role contact tracers have in protecting the public.
• Identify criteria that determine whether someone is a potential contact.
• Identify the key components of a successful contact tracing interview.
• Apply principles of successful contact tracing interviews to a mock interview scenario.
• Conduct contact tracing interviews with professionalism and sensitivity.

Register 

• The course is free and lasts approximately 1.5 hours 
• Click here to register! 

Senior Research Data Analyst, University of Chicago

Center Overview 

The Chicago Center of HIV Elimination, embedded within the University of Chicago’s main campus in Hyde Park, is located in Chicago’s HIV epicenter. Of the 20 neighborhoods in the city with high annual HIV diagnosis rates (greater than 40 per 100,000), 13 of them are no more than eight miles from the University of Chicago. This area includes 4 of the 6 communities with the highest annual diagnosis rates in the city (Washington Park, West Englewood, Greater Grand Crossing and South Shore). Our position within the hardest hit neighborhoods in Chicago provides unique opportunities to advance HIV testing and prevention interventions locally, providing tangible results to those most affected and to improve the lives of those living with and without HIV infection. CCHE seeks to eliminate new HIV transmission events over the next 30 years (from 2011 to 2041) by using network science to target and integrate prevention as well as create structural and community-specific interventions.

Responsibilities

The job uses best practices and knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University’s various internal data systems as well as from external sources. The job is responsible for managing operational protocols.

1. Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
2. Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.
3. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University’s various internal data systems as well as from external sources.
4. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related needs.
5. Performs other related work as needed.

Minimum Qualifications 

• College or university degree in related field.
• Knowledge and skills developed through 5-7 years of work experience in a related job discipline.

Preferred Qualifications 

• Master’s degree or higher in mathematics, statistics, biostatistics, epidemiology, or related quantitative discipline
• 3 years of post-graduate experience with statistical consulting and analysis

Apply 

Click here to read the full position description and to apply online! 

Epidemiologist II, Public Health Institute

Program Summary

PHI and OPHI are organizing teams of community contact tracing staff across Washington County, Oregon as a key strategy for preventing further spread of COVID-19.

The Epidemiologist conducts investigations used in the prevention and control of communicable or chronic diseases, injuries, and other health conditions and in the planning of health programs. This is a single classification and not part of a series. The Epidemiologist is an advanced- level professional classification. Positions in this class perform duties of considerable complexity, with the exercise of professional judgment regularly applied to complex and sensitive public health issues. The Epidemiologist works under the direction of a Research and Evaluation Supervisor. The incumbent in this classification will exercise coordination, leadership, and will supervise the Data Analysts.

Minimum Qualifications

• Master’s Degree with a focus in epidemiology and at least two (2) years of work experience in epidemiology with a public health agency; OR A doctoral-level degree in epidemiology; OR Other non-epidemiology graduate degree or certification (e.g., RN, MD/DO, DDS/DMD, DVM, PhD, RS) with specific epidemiology training (e.g., MPH degree, CDC Epidemic Intelligence Service or CSTE Applied Epidemiology Fellowship).
• Perform statistical analysis in Stata
• Perform epidemiologic assessment and analysis:
• Identify public health problems pertinent to the population;
• Conduct surveillance activities;
• Investigate acute and chronic conditions or other adverse outcomes in the population;
• Apply principles of efficacious ethical/legal practice as they relate to study design and data collection, dissemination, and use;
• Manage data from surveillance, investigations, or other sources;
• Analyze data from an epidemiologic investigation or study

Important Information

• This is a full-time (40 hours per week) position.
• This is a time-limited position that is funded through December 30, 2020 with the possibility of being extended.
• This is a remote position based in Washington County, Oregon.
• As part of the application process, you must submit contact information for at least one managerial reference.
• The offer of a position is conditional upon an applicant’s successful completion of a background check.

Apply 

• Click here to read the full position description and apply online! 

Research Computing Specialist, University of Chicago

Center Overview 

The Chicago Center for HIV Elimination (CCHE), is situated within the Biological Sciences Division at the University of Chicago Medicine. CCHE aims to eliminate all new HIV transmission events by 2041. The University of Chicago’s position on the South Side makes it uniquely situated to test, treat, and prevent new HIV infections in a highly affected population. The South Side communities and majority Black suburbs connected to them to the South represents the largest contiguous Black population in the United States. By using our integrated HIV transmission elimination approaches, we are beginning to make new infections in these communities less frequent.

Responsibilities

The job uses best practices and knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University’s various internal data systems as well as from external sources. The job is responsible for managing operational protocols.

1. Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
2. Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.
3. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University’s various internal data systems as well as from external sources.
4. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related needs.
5. Performs other related work as needed.

Minimum Qualifications 

1. College or university degree in related field.
2. Knowledge and skills developed through 5-7 years of work experience in a related job discipline.

Preferred Qualifications 

• Master’s or higher in Computer Science
• Working in a research environment, especially academic
• Use of Python-based packages and platforms for analytic computing such as NumPy, Pandas and Dask
• Working with medical record data and/or health research data including clinical trials and population-based studies of health; working with PHI
• Use of REDCap for data capture; developing against its API
• Using Continuous Integration/Continuous Delivery (CI/CD) in GitLab or GitHub
• Use of PostgreSQL database
• Open-source development

Apply

Click here to view the full position description and to apply online! 

Birth Defects Surveillance and Research Fellowship, CDC

Description: 

Three research opportunities are currently available with the Birth Defects Monitoring and Research Branch of the National Center on Birth Defects and Developmental Disabilities (NCBDDD) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.

NCBDDD’s mission is to improve the health of children and adults by preventing birth defects and developmental disabilities, and complications of heredity blood disorders; promoting optimal child development, and the health and wellness among children and adults living with disabilities. The Birth Defects Monitoring and Research Branch conducts birth defects surveillance and research into the possible causes and long term outcomes of birth defects. The purpose of this fellowship program is to provide an educational experience to individuals interested in the field of public health and reproductive and birth defects epidemiology. Opportunities are aimed at furthering the health science, epidemiological and analytical knowledge of participants. Under the direction of senior scientists, participants will train within the Birth Defects Monitoring and Research Branch in the analysis of public health data, and learn about how surveillance and research can impact public health policy. Participants are assigned to train on various projects and can expect to gain valuable learning experiences in surveillance and research study management, database cleaning, data analyses, and interpretation of the results, writing manuscripts and giving oral presentations. They will get an overview of the practice and application of public health policy used to support public health programs. Participant training involves:

• literature searches
• review of databases
• use of statistical software
• analyses of data and summarization of findings
• participation in surveillance and research projects
• preparation of scientific manuscripts, posters, presentations, and fact sheets, and other information
• utilization of MarketScan or other claims or health record data
• determining the effects of medications during pregnancy
• assessing risk factors for birth defects
• assessing the long term morbidity and mortality of infants born with birth defects or neonatal abstinence syndrome
• verbal and written presentations of epidemiologic studies or surveillance activities at scientific conferences
• development of manuscripts for disseminating the results in peer-reviewed publications

Qualifications

The qualified candidate should have received a master’s degree in one of the relevant fields, or be currently pursuing the degree 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 in qualitative and quantitative research using SAS, SPSS, R or other statistical software
• Experience with reference management software
• Experience with claims data (Marketscan, HCUP, Medicaid Max)

Apply: 

• Click here to learn more about the position and apply online! 
• Application Deadline: June 1st, 2020 3PM EST

Post Doctoral Fellowship in MDR-TB, Harvard Medical School

Project Description

Applications from PhD or other doctoral-level degree holders are invited for a full-time project focused on improving the quality of evidence generated from observational treatment cohorts of multidrug-resistant (MDR) tuberculosis (TB).  The position will be based in the Department of Global Health and Social Medicine (DGHSM) at Harvard Medical School, which conducts research to improve the practice of medicine, the delivery of treatment, and the development of health care policies locally and worldwide. Researchers at DGHSM have a long history of conducting research on tuberculosis, HIV, and other conditions. The selected candidate will join a team of epidemiologists and clinicians aiming to improve access to high-quality evidence-based care for MDR-TB around the world.

The postdoctoral fellow will work with us on two initiatives:

1. The endTB observational study, comprised of over 2,600 patients in 17 countries, is the largest multi-country study of patients receiving MDR-TB treatment with the newer drugs, bedaquiline and delamanid.  The postdoctoral fellow will apply advanced epidemiologic methods (e.g., marginal structural models, g-estimation) to longitudinal data to answer pressing outstanding questions related to the safety and effectiveness of different MDR-TB regimens. Under this NIH-funded initiative, the postdoctoral fellow will also contribute to the implementation of a prospective cohort study of patients receiving a shortened, all-oral MDR-TB regimen in one of five countries. (70% effort)
2. Research Excellence to Stop TB Resistance (RESIST-TB), in partnership with Harvard University, is leading a research initiative to explore the challenges associated with use of observational data and enhance its utility to guide the development of MDR-TB treatment recommendations. With collaborators from multiple institutions, the fellow will support development of tools and guidance for optimizing the confidence and evidence gleaned from observational studies of MDR-TB. Examples include adaptation of the STROBE checklist with a focus on quality for guideline development and guidance for minimizing loss of confidence in observational studies used for guidelines due to: limitations in study design or execution, imprecision, indirectness, inconsistency, and publication bias. (30% effort)

The successful applicant will be expected to participate as lead author on publications arising from this work and to communicate findings in oral presentations at national and international conferences.  We are seeking candidates willing to commit to at least 2 years of work on this project.

Qualifications and Skills

• Doctoral degree holders (or 2020 degree candidates) in Epidemiology, Biostatistics or related field.
• Experience applying advanced epi methods, including: marginal structural models, g-formula and simulation studies.
• Advanced programming skills in a statistical package such as SAS, Stata, or R.
• Strong writing skills.
• Ability to work collaboratively.
• Interested in global health.
• Experience in any of the following areas is desirable: guideline development, application of GRADE methodology, meta-analysis, pharmacoepidemiology.

Additional Information 

• Click here to learn more about the position
• Click here for more information about the department. 

Application Instructions

Email the following items in one PDF with the surname as the first word of the PDF file:

1. Cover letter stating long-term career aims, interest in the project, and suitability for the position, specifically referring to the criteria listed above
2. Curriculum vitae
3. Two or three relevant publications or manuscripts
4. Contact information for three to five potential references. 

Applications should be emailed to: rebecca_grow [at] hms [dot] harvard [dot] edu

Senior Health Economist / Epidemiologist, Booze Allen

Position Description:

Drive transformational analytical change in a healthcare setting as a subject matter expert working within a DoD. Focus on leveraging technical expertise in support of their client, leading to data-driven decision making and improving the health of a large population of people. Apply data analysis expertise and translate complex ideas into actionable recommendations and support senior leadership of the agency by providing customized and comprehensive data sets. Provide clients with the critical insight that they need to improve the lives of those they serve. This position is located in San Antonio, TX.

Basic Qualifications:

• 5+ years of experience with basic SQL for data manipulation or SAS Institute’s statistical analysis software packages
• 1+ years of experience with software management and data retrieval
• Experience in public health, epidemiology, population health, or developing and deploying clinical performance metrics in a health setting
• Experience with working in a direct client-facing consulting role and building trust with clients
• Experience with using data and predictive modeling to provide recommendations to clients in a healthcare setting
• Knowledge of Tableau or Qlik
• Ability to lead the development of briefings and technical reports for senior organizational leadership
• Ability to obtain a security clearance
• MA or MS degree in Public Health, Epidemiology, Computer Science, Mathematics, or a health research-related field or 5 years of experience in public and population health, data analytics, or informatics fellowship in lieu of degree

Additional Qualifications:

• Experience in working with the DoD and Air Force clients
• Experience with working in healthcare quality improvement
• Ability to operate on shift work, evening, weekend schedules, and on-call hours to support mission

Additional Information:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Apply: 

Click here to learn more about the position and apply online! 

Biostatistical Analyst, Brigham and Women’s Hospital

Description:

The Biostatistical Analyst manages, coordinates, and performs data- and programming-related activities for health services research studies examining the science of surgical care delivery. Functioning very independently and under the general direction of the Principal Investigator, performs complex statistical analyses of health services data often involving cleaning and merging of large administrative datasets. May identify, develop, and implement new computational techniques. In this position, the biostatistical analyst will: 

1. Under general supervision of the Principal Investigator, applies, researches, and develops statistical models for analysis, inference, and prediction from a variety of large data bases.
2. In collaboration with investigators and trainees, contributes to scientific literature, reports, journals and presentations.
3. Assists in orientation and training of graduate students, post-doctoral fellows, and other personnel as needed.
4. Participate as a collaborator in the preparation and dissemination of research findings through presentation and publication in scientific journals.

Database administration responsibilities:

1. Maintain data security and compliance in adherence to Partners Data and Research computing standards for DUAs, IRBs, Data Storage, etc.
2. Addition database responsibilities include, but are not limited to:
3. Acquire potential data sources and follow-on steps of cleaning, aggregating and importing data from a variety of sources
4. Analyze data quality and recommendations for remediation of quality issues
5. Manage reviews of all data includes data collected via surveys and other mechanisms
6. Other duties as assigned

• Masters degree in quantitative field such as statistics, biostatistics, or epidemiology. 
• Strong academic credentials required. (MPH with concentration in epidemiology and biostatistics is acceptable with appropriate post-graduate experience.)
•  This position is a good fit for someone with 0-2* years of research experience in analysis of complex health services-related datasets.
• *Preference 2+ years of experience

Skills/Competencies Required: 

• Strong theoretical statistical background and data analysis skills.
• Substantial experience applying sophisticated statistical methods to analyze complex datasets.
• Solid data analysis programming skills using STATA, SAS and/or R.
• Excellent time management/organizational skills.
• Excellent written and verbal presentation skills.
• Ability to work well in a multidisciplinary team setting.
• High degree of initiative and ability to persevere on challenging research problems.
• Willingness to seek and accept guidance from senior personnel, as needed.

Apply: 

Click here to learn more about the position and apply online. 

Geospatial Epidemiologist, Perspecta

Job Responsibilities

Qualifications