Data Analysis Fellowship, CDC

Description 

Three research opportunities are currently available with the Prevention Research and Translation Branch, within 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 research opportunity 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 communication science, epidemiological and analytical knowledge of participants. Participants will train within the Birth Defects Monitoring and Research Branch in the analysis of public health data, and learn about the design, implementation, and evaluation of public health communication products and activities. Participants are assigned to train on various projects and can expect to gain valuable learning experiences in the development, implementation, and evaluation of health communication campaigns, surveillance and research study management, database cleaning, data analyses, interpretation of the results, writing manuscripts and giving oral presentations. 

Participant training involves:

• literature searches
• translation of scientific research and data into consumer-focused materials
• development and evaluation of social media
• website management
• 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
• assessing risk factors for birth defects and the long term morbidity and mortality of infants born with birth defects
• verbal and written presentations of epidemiologic studies or surveillance activities at scientific conferences 

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 December 2020. Degree must have been received within five years of the appointment start date. 

Preferred skills:

• Background in biostatistics or epidemiology, as well as maternal and child health
• Experience in qualitative and quantitative research
• Experience conducting scientific literature searches  

How to Apply 

• Click here to read more about this position and apply online! 
• If you have questions, send an email to ORISE [dot] CDC [dot] NCBDDD [at] orau [dot] org. Please include the reference code for this opportunity (CDC-NCBDDD-2021-0030) in your email.

Supervisory Health Scientist, Dept. of Health and Human Services

Position Description 

As a Health Scientist for the Division of Epidemiology, you use extensive knowledge and expertise in research methodology, maternal and child health, and leadership to serve as a program administrator, senior scientist, and supervisor.

Your major duties and responsibilities will include:

• Serving as a technical expert in surveillance programs related to maternal, infant and child health.
• Supervising administrative, technical and/or professional staff and provides leadership and guidance to staff on all matters related to the design, administration and monitoring of the National Survey of Children’s Health (NSCH).
• Directing activities that may include performance analytics and research that advances state of the art approaches in population level data collection and public health surveillance for maternal and child health populations.
• Providing expertise and direction on the appropriate application of survey methodology as well as other qualitative and quantitative methods.
• Establishing long and short term program goals, performance measures, policies, objectives and priorities based on knowledge of and professional experience in the field of maternal and child health and maternal and child health research and needs assessment.
• Researching and writing reports or other working documents that provide authoritative guidance on complex and wide-impacting program issues related to the design, administration and management of the NSCH and surveillance efforts for maternal and child health populations.
• Overseeing professional initiatives under contracts, grants and agreements in the performance of work necessary for designing, implementing, and monitoring the NSCH and dissemination of resultant data.

Qualifications 

• You must have a Bachelor’s or graduate degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position being advertised. This degree must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the degree was obtained.
• In order to qualify for this position at the GS-14 level, your resume must clearly demonstrate that you have one full year of specialized experience comparable in difficulty and responsibility to at least the GS-13 level in the federal service.
• Evaluating population level data related public health and/or health care delivery systems in order to make recommendations regarding the data’s limitations, validity, interpretation, and usefulness; serving as a technical advisor on local, state or national public health data collection and analysis of studies or surveys related to maternal and/or child health (e.g., physical and mental health, health care access and quality, etc.); and, preparing and presenting results in reports, which state research methodology and pertinent findings for use in informing Federal public health care policy direction.

How to Apply 

Click here to read more about this position and apply online!

COVID-19 Surviellance Epidemiologist, Washington State Department of Health

Position Descriptions 

Epidemiologist II

• These positions will support priority surveillance capacity in COVID-19 response. Incumbents will contribute to the COVID-19 response mission by serving in a surveillance role focusing on one or more of the following tasks: analyzing data to respond to questions, producing routine daily and weekly COVID reports, evaluating and analyzing surveillance data to develop guidance and inform policy development, and working to coordinate surveillance activities with other parts of the office.

Epidemiologist III 

• These positions will also support priority surveillance capacity in COVID-19 response. Incumbents will contribute to the COVID-19 response mission by serving in a surveillance role focusing on one or more of the following tasks: surveillance reporting, data integration and quality assurance, surveillance process and special projects.

This recruitment will be used to fill multiple project and non-permanent positions at each level outlined above. Grant funding for these positions is anticipated to last between 12 and 22 months. These positions will work from a remote or home-based location.

These positions are a part of the Office of Public Health Outbreak Coordination, Informatics and Surveillance (PHOCIS). PHOCIS’s responsibilities align directly to Goal 1 of the Agency Strategic Plan (2017-19 Update) that calls to “Protect everyone in Washington from communicable diseases and other health threats.”

Required Qualifications

• All levels – A Master’s degree or higher in epidemiology; OR a master’s degree in public health or a closely allied field including 12 graduate quarter hours or equivalent (500 level or above) in epidemiology and 12 graduate quarter hours or equivalent in biostatistics. And
• Epidemiologist 2 Level: One (1) or more years of experience working in a public health agency or a similar setting.
• Epidemiologist 3 Level: Two (2) or more years of experience working in a public health agency or a similar setting.

Desired Qualifications

• Demonstrated experience effectively performing data analysis and using statistical software.
• Experience working with local health jurisdiction disease investigators.
• Two (2) or more years of experience working in communicable disease epidemiology

How to Apply 

Click here to read more about these positions and apply online! 

Data Analytics Epidemiologist III, Texas DHHS

Job Description

The Infectious Disease Data Analytics Epidemiologist III position is located within the Emerging and Acute Infectious Disease Unit (EAIDU). Under the supervision of the COVID-19 Infectious Disease and Data Informatics Manager and the Director, EAIDU, the Data Analytics Epidemiologist III performs highly advanced senior-level research and epidemiological work requiring specialized knowledge of infectious disease surveillance. Designs and conducts advanced epidemiological research, evaluating populations and their risk factors for infectious disease using data from the National Electronic Disease Surveillance System and other large data sets from throughout the agency. Prepares and presents research findings on emerging and acute infectious diseases in reports, professional journals, national conferences, and state meetings. Plans and assigns the work of others. Serves as a mentor for other Data Analytic and EAIDU team members. Works under minimum supervision with extensive latitude for the use of initiative and independent judgment.

Essential Job Functions

• (30%) Utilizes advanced statistics and/or statistical packages, which can analyze population’s characteristics and their relationship to disease states or outcomes. Methods and techniques may include random, stratified, clustered, and convenience sampling; confidence intervals, tests of differences between rates and proportions, odds ratios, relative risk ratios, measurement of sensitivity, specificity, and positive and negative predictive value; linear and multiple logistic regression; and survival, factor, cluster, discriminant analysis, and spatial analyses. Calculates sample sizes. Utilizes, as necessary, the following: SAS, Epi Info, R, GIS, and other graphics and spreadsheets software.
• (30%) Prepares and presents presentations, technical reports, briefings, and professional journal articles related to EAIDU surveillance activities. Reviews reports and special publications of staff and monitors the preparation of special and annual reports. Provides EAIDU consultation and data to the regional/local health departments, public, other DSHS program areas and other consumers of data. Provides consultation to hospital administrators, physicians, state and national organizations, and others on the EAIDU surveillance activities.
• (25%) Serves as a resource epidemiologist for ongoing projects within EAIDU, working as a team leader on epidemiological investigations and evaluation studies. Serves as a technical expert and consultant on statistical design, epidemiologic methodology and analysis, interpretation of data, and epidemiologic soundness. Directs the preparation and responds to complex requests for EAIDU information, data, and analyses as requested by the Group Manager, Unit Director, or other department staff, outside agencies, the public and the media.
• (15%) Performs related work duties as assigned. Other duties as assigned may include actively participating and/or serving in a supporting role to meet the agency’s obligations for disaster response and/or recovery or COOP activation. Such participation may include an alternate shift assignments and/or location

Knowledge, Skills & Abilities

• Comprehensive knowledge of the basic principles and methods of epidemiology and the rules and regulations governing the control of notifiable conditions
• Knowledge of statistical concepts, research methods, and their applications to public health surveillance and research.
• Knowledge of the natural history and epidemiology of common infectious diseases
• Knowledge of programming logic and scripting.
• Knowledge of issues of confidentiality.
• Skills in utilizing Word, Epi Info, Excel, Access, PowerPoint and graphic presentation software such as Tableau
• Skill in using epi-related statistical software, especially SAS, and in writing syntax to perform analyses.
• Skill in database management, especially relational database structures.
• Skill in working with sensitive personal health information.
• Ability to manage and query complex databases.
• Ability to use population data for public health planning and evaluation.
• Ability to conduct research projects and data collection efforts.
• Ability to organize and prioritize work and meet deadlines.
• Ability to exercise independent judgment and show initiative.
• Ability to communicate effectively both orally and in writing and prepare grant requests
• Ability to present statistical and technical data in a clear and concise format
• Ability to maintain effective working relationships.
• Ability to devise and develop solutions
• Ability to train others

Qualifications 

• Graduate degree from an accredited college or university with major course work in informatics, bioinformatics, epidemiology, public health, biostatistics, or related field preferred.
• Two years’ professional experience as an epidemiologist or public health data analyst, or similar job function.
• Experience with SAS, Epi Info, R, GIS, and other graphics and spreadsheets software.
• Experience in public health and infectious disease prevention and control preferred.
• Skills with programming in statistical software SAS preferred.

How to Apply 

Click here to read more about this position and apply online! 

Epidemiologist, IHRC Inc.

Description

IHRC, Inc. provides scientific, information management, management consulting, bioinformatics, and administrative program support to the Centers for Disease Control and Prevention (CDC) and other Federal and private sector clients. The successful candidate will be a full-time employee of IHRC, Inc., and will be assigned to the Mycotic Diseases Branch (MDB), Division of Foodborne, Waterborne and Environmental Diseases (DFWED), National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), at the CDC, located at 1600 Clifton Road, Atlanta, GA, to provide program and administrative support for the branch.

Scope of Work

The Epidemiologist will participate as a team member with MDB staff to provide written materials, determining that deliverables are being provided on time and within budget, and organizing periodic conference calls with Epidemiologist to assess progress.

Major Duties and Responsibilities

• Providing expert knowledge of infectious disease surveillance. Work will include coordination with internal and external partners.
• Providing epidemiology technical knowledge for diagnosis of fungal diseases.
• Verifying Human Subjects documents are submitted and tracking continuations and due dates.
• Performing data analysis, including preparation of 2×2 tables and graphs.
  Writing manuscript drafts and meeting abstracts, approximately 2 – 5 per year.
• Designing sessions or workshops on fungal diseases at conferences, approximately 2 – 5 per year.
• Developing communication debriefs to update the Mycotic Diseases Branch and other interested CDC parties on development and activities of the screening program.

Qualifications

Required:

• Master of Public Health (MPH), or Master’s degree with a concentration in public health.
• 2-4 years of work experience in public health.
• Must be fluent in Spanish.
• Excellent time management and organizational skills.
• Quantitative skills and proficiency in Microsoft Office applications including Word, Excel, and PowerPoint.
• Excellent organizational, intrapersonal, writing and speaking skills for working with an interdisciplinary team including scientific and non-scientific collaborators.
• Experience preparing written documents and giving oral presentations.

Desirable:

• Strong background in data management and program evaluation.
• Global health and health communication experience is desirable.

How to Apply

Click here to read more about this position and apply online! 

Data Analyst, NYC Test & Trace Corps

Job Description
The Test and Trace Corps (T2) – the City’s initiative to test all New Yorkers, break chains of COVID-19 transmission in a timely fashion through contact tracing, and ensure they can isolate and quarantine safely – is pivotal as New York City continues to reopen. In close coordination with the NYC Department of Health and Mental Hygiene (DOHMH), City agencies and City Hall, T2 is supporting citywide efforts to allow programs and services to operate amidst the COVID-19 pandemic.

T2 is hiring a team of Data Analysts to provide targeted data management and analytic support regarding findings related to investigations of COVID-19 exposures that occur in a facilities, such as Child Cares, Camps, Schools, Universities, Houses of Worship (i.e. Church, Synagogue, Mosque, Temple), Private Gatherings, Restaurants/Bars, Work sites outside the home, or other events.

Summary of Duties and Responsibilities  

Reporting to the Chief of Staff for the T2 Data, Analytics and Product Development Team and under the direction of the NYC DOHMH Surveillance and Epidemiology Data Unit Co-lead, the Data Analyst, Facility Investigations will be responsible for:

• Conducting on-going data cleaning of NYC COVID-19 surveillance and epidemiologic data housed within NYC DOHMH, and responding to ad hoc internal and external data requests related to COVID-19 exposures occurring in facilities
• Analyzing NYC COVID-19 surveillance and epidemiologic data using SAS, SQL, R or other programming languages
• Ensuring data are correctly entered and imported into Maven, NYC DOHMH’s Bureau of Communicable Disease database, and developing materials for reporting needs, such as developing reports for leadership regarding COVID-19 cases and contacts associated with exposures in facilities and investigating/ summarizing and reporting out on identified clusters
• Creating data outputs and deliverables for internal use such as standardized reports, visualizations and dashboards that describe analyses of COVID-19 exposures in facilities
• Assisting NYC DOHMH leads for facility investigations in ad hoc analyses of COVID-19 surveillance data in Maven, especially as related to facilities and cluster investigations, as requested
• Other relevant duties as assigned
• Alternate working schedules (i.e. schedules that include evening and/or weekend hours) may be requested.

Minimum Qualifications

For Assignment Level I (For physical, biological and environmental sciences and public health only)

1. A master’s degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.

*Probationary Period

• Appointments to this position are subject to a minimum probationary period of one year.

Department Preferences

• Strong competence in data analysis and experience in application of data to inform, drive and improve operations and disease surveillance
• Advanced experience in applied data analysis, and management and analysis of moderate to large size datasets using SAS and other programming languages such as SQL and/or R
• Proficiency in navigating computer systems; ability to learn new data systems quickly and to comply with data integrity and security to safeguard all personal identifiable information
• Excellent writing and speaking ability, strong interpersonal communication and time management skills, and attention to detail
• Ability to work with teams who may work remotely
• At least 2 years of experience in disease surveillance, outbreak investigation, or other applied public health work a plus
• Experience or education with data visualizations and interactive data displays
• NYC Residency Preferred

How To Apply

Click here to read more about this position and apply online! 

Health Services & Facilities Consultant, Florida Department of Health

Description

The Florida Department of Health (DOH) is seeking a creative, organized, and motivated individual to become an essential member of our team. DOH works to protect, promote and improve the health of all people in Florida through integrated state, county and community efforts. As one of Florida’s leading state agencies, DOH’s workforce has more than 12,000 employees who serve millions of individuals across the state striving to make Florida the Healthiest state in the nation!

Serve as team member for FLHealthCHARTS, Florida Health Performs, data support and helping website users interpret results, creating reports using Logi Analytic software, providing GIS support (i.e. geocoding and mapping with ArcGIS) and providing support for publications such as, the State Health Assessment, the State Health Improvement Plan, and the Vital Statistics Annual Report. The incumbent in this position is expected to coordinate the collection and monitoring performance indicators across divisions and county health departments for performance management and outcome assessment. Familiarity with: Florida Department of Health programs and various data sets including: vital statistics, population, and services provided by the department will be beneficial. Experience with Excel, Word, and Powerpoint is essential to perform the duties of this position. The incumbent must also have previous experience with ARCGIS, Microsoft SQL, and statistical software (e.g., SAS or SPSS).

Duties and Responsibilities 

This is a highly responsible professional position located within the Division of Public Health Statistics and Performance Management. This position is primarily responsible for:

• Public health reporting, including planning, development and implementation of FLHealthCHARTS.com reports and products; 
• Providing GIS support (i.e. geocoding and mapping with ArcGIS); and
• Providing technical support to public health programs and providers.

Minimum Qualifications 

• A Master’s degree in public health or a related field is preferred.
• Must have at least 2 years’ experience in public health or a related field.
• Must have at least 2 years’ experience working with SAS, SQL or other statistical/programming software
• The successful applicant will be able to demonstrate critical thinking skills, flexibility, willingness to learn new skills and a desire to help others succeed.

Preferred Qualifications 

Experience with ArcGIS, Microsoft SQL and statistical software (e.g., SAS or SPSS) preferred. Familiarity with: DOH programs and various data sets including: vital statistics, population, and services provided by the department will be beneficial. Interest in learning new statistical and data management packages desired.

How to Apply 

Click here to read more about this position and apply online! 

Postdoctoral Fellowship in Disease Systems Modeling, CDC

Description 

The Centers for Disease Control and Prevention (CDC) established the 2-year Steven M. Teutsch Prevention Effectiveness Fellowship in 1995 to address an ongoing demand in public health for rigorous quantitative analysis through the recruitment, internal placement, and professional development of quantitative researchers.  Disease modeling is of increasing interest among CDC leadership.  Mathematical or computational models can allow researchers to study problems not easily examined in real life.  Through the use of models, researchers can examine the impact of a disease or intervention within a specific population.  They can then adjust the agent, population, or intervention (such as social distancing, vaccine, or quarantine) variables to test theories about relevant public health policy. 

The PE Fellowship is recruiting five positions specifically for modeling assignments within various programs at CDC. Applicants must have a doctoral degree in operations research, industrial engineering, mathematics, statistics, or other applied science field. Assignments focus on work related to the following types of modeling; disease transmission models, individual, compartmental, and agent-based models, spatial models, simulation and system dynamics modeling, and econometric models.  Training will be provided in; decision analysis, disease transmission modeling, advanced econometrics, machine learning and big data analysis, data visualization, and key software applications such as R, Netlogo, Python, TreeAge, etc. 

All doctoral degree requirements must be completed by 7/23/2021. The starting annual salary is approximately $86,000 plus Federal benefits and student loan repayment. The fellowship begins on 8/16/2021 (this date is flexible) with an intensive orientation and training program. CDC will sponsor suitable visas for non-US citizen candidates. 

Learn More about the Fellowship 

The MIDAS Coordination Center is planning a Zoom meeting with the Centers for Disease Control and Prevention (CDC) staff, to learn more about this fellowship opportunity. on Tuesday, December 1, 2:00 – 3:00pm Eastern Time (US). Registration details to follow soon.

Application Information 

• The application period is September 21, 2020 to January 22, 2021
• Interested individuals should apply now at www.cdc.gov/pef or send an email of inquiry to Dr. Adam Skelton: PEF [at] cdc [dot] gov 

Biostatistician, Hospital for Special Surgery

Position Summary

The HSS Biostatistics Core provides comprehensive methodologic and analytic support to clinical and basic scientists at the Hospital for Special Surgery in the area of musculoskeletal research. Under the direct supervision of the Core Director, the candidate will provide study design and statistical analysis support to their assigned service/s. Our Surgical Services are engaged in high quality clinical research and are in need of study design and statistical support for their priority research projects. 

 Essential Tasks/Responsibilities:

• Provide statistical expertise in analyzing data for clinical or basic science research initiatives at the hospital as assigned through the Biostatistics Core.
• Review proposed HSS studies for soundness of study design and statistical methodology.
• Contribute written sections for IRB applications, grant applications, and manuscripts for assigned projects.
• Perform intermediate to expert level statistical queries, analyses, and evaluation.
• Interact with other members of the Core and, when necessary, hospital scientists and clinicians involved in the assigned research projects.
• Stay informed of statistical techniques as applied to musculoskeletal research issues by reading journals and/or attending courses/programming meetings.
• Develop collaborative relationship with hospital researchers.
• Peer review and suggest changes or improvements to existing analytic code (SAS, SPSS syntax, or R), analytical and study methods, and reports for validity and limitations, as performed by other members of the Core.
• Build and improve on Macros to make data processing and presentation more efficient.
• Additional duties as assigned.

Minimum Requirements:

• Master’s degree or higher in biostatistics, statistics or clinical epidemiology
• At least 1 year of work experience and/or research experience in a clinical setting is required
• The candidate should have the ability to interpret technical medical data and generate sound recommendations to support clinical research efforts.
• Experience in musculoskeletal research preferred.
• The successful candidate should possess good organization skills, time management skills, and the ability to manage several concurrent tasks.
• Complete proficiency in Microsoft Office and a statistical software package is mandatory. SAS is the preferred statistical package within the HSS Biostatistics Core, but experts in other statistical packages are also encouraged to apply.
• Candidate should have knowledge of appropriate statistical analysis for clinical research studies.
• Excellent oral and written communications skills are paramount due to the large number of professional interactions that will be required for this position.
• Experience working with physicians is preferred.

How to Apply 

Click here to read more about this position and apply online! 

Postdoctoral Research Position in Computational Biology & Environmental Health, Harvard University

Position Description

The Haber Lab in the Department of Environmental Health at Harvard T.H. Chan School of Public Health has an opening for a highly motivated Postdoc. Projects involve developing and applying computational and statistical approaches to investigate the effect of environmental exposures on the lungs and effects on the pathogenesis and exacerbation of asthma. The successful candidate will join an interdisciplinary team spanning several institutions, including the Chan School at Harvard, Brigham & Women’s Hospital, and the Broad Institute of MIT and Harvard.

We seek an enthusiastic post-doctoral researcher to develop novel computational approaches for analysis of asthma at either the molecular level using computational and systems biology approaches to analysis of single-cell RNA-sequencing data, or at the epidemiological level, using geospatial analysis of city-wide datasets.

At the molecular level, projects in the lab examine the cellular and molecular effects of environmental exposures on the airways, and focus on analysis of high-dimensional ‘omics data (particularly single-cell RNA sequencing) from clinical samples and mouse models of airway injury, inflammation and regeneration. The successful candidate will also collaborate closely with clinical pulmonologists and immunologists to study molecular mechanisms underlying both airway tissue homeostasis and asthma pathogenesis.

At the epidemiological level, projects examine increased risk that neighborhoods and individual housing units contribute to asthma burden in Boston and elsewhere. This line of research in the lab seeks to isolate factors, such as poor housing conditions, in the social, physical, and built environment that contribute to racial and socioeconomic disparities in rates of asthma.

Basic Qualifications

• PhD or equivalent in computational biology, computer science, epidemiology, statistics, mathematics, or other quantitative field.
• Candidates holding a degree in biological/medical science are also welcome to apply if they have extensive background in computational or statistical work.

Additional Qualifications

• Applicants must have substantial experience with statistical or epidemiologic data analysis. Preference will be given to candidates with demonstrated research interests in areas currently under investigation (e.g. asthma, COPD, lung biology, mucosal immunology) in the research group.
• Experience and/or training in geospatial analysis, Bayesian disease mapping and other methods, spatial epidemiology
• Strong quantitative analysis skills and experience developing algorithms and/or conducting statistical analyses with large datasets, particularly genome-wide assays such as RNA-seq
• Knowledge of lung biology, mucosal immunology, biology of allergy, impact of environmental conditions, particularly poor-quality housing on respiratory health
• Track record of, or strong potential for, independent funding

How to Apply 

Click here to read more about this position and apply online!