Category Archives: Alumni

COVID-19 Surviellance Epidemiologist, Washington State Department of Health

Category : Alumni

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

Category : Alumni

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



  • 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.

Category : Alumni


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.




  • 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.


  • 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

Category : Alumni

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

Category : Alumni


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 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

Category : Alumni


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 or send an email of inquiry to Dr. Adam Skelton: PEF [at] cdc [dot] gov 


Biostatistician, Hospital for Special Surgery

Category : Alumni

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

Category : Alumni

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! 

Lead Research Data Analyst, University of Maryland-Baltimore

Category : Alumni


The University of Maryland School of Social Work is currently seeking a Lead Research Analyst for the Promise Heights program. This position is responsible for the coordination, analysis and reporting of Promise Heights Promise Neighborhood data. This includes data input by all Promise Heights staff and community partners. The position will assist with developing ProMIS database platform and will create analytical papers on process, outcomes, and evaluation. The Lead Research Analyst will work under the supervision of the Assistant Director.

The Promise Neighborhood program is a U.S. Department of Education initiative focused on breaking the cycle of inter-generational poverty by significantly improving the educational and developmental outcomes and overall life prospects of children and youth in our most distressed communities. The core idea behind the initiative is to provide both effective schools and strong systems of support to children, youth and their families in poverty and thus meeting their health, social services, and educational needs. The University of Maryland School of Social Work is the lead agency for the Promise Heights Promise Neighborhood in the Upton/Druid Heights neighborhood in West Baltimore. Promise Heights is charged with working with community-based organizations, schools, faith-based institutions, and others to build a pipeline of wraparound services to ensure pathways out of poverty for youth and their families.

This Exempt, Regular position offers a generous benefits package that includes 22 vacation days, 14 floating and holidays, 15 sick days; comprehensive health insurance and retirement options; and tuition remission for employees and their dependents at any of the University System of Maryland schools.

Essential Functions

  • Responsible for providing subject matter expertise and direction in research designs and management of quantitative and qualitative data. The work primarily consists of leading analysis on data in response to research studies, and presenting the results of those analyses to internal and external stakeholders. The Lead Research Analyst independently develops and oversees research initiatives; exercises leadership in data management and analysis, and is seen as an expert in research analysis.
  • Participate in meetings with school-based staff at Promise Heights schools in order to develop collaborative solutions to progress on community-based indicators. Uses subject matter and technical expertise to identify and define research questions and data elements, and integrates them into research design. Leads the planning stages of research and introduces new statistical methodologies and research designs.
  • Participate in workshops, training, seminars, and conferences in order to stay informed on evidence-based methodologies and interventions to address structural inequalities that affect the Promise Heights community.
  • Develop, recommend, modify, and implement policies and procedures and/or methods for research. Leads the development and formulates best practices and protocols in data collection, data quality, warehousing, analysis, and reporting including developing special forms and/or formats for analyzing and presenting data.
  • Independently cleans, validates, and analyzes research data in order to prepare research findings for publications of journal articles and grant proposals. Searches relevant literature, develops conclusions, writes reports, prepare and deliver presentations of relevant findings and conclusions, and recommends appropriate actions. Connects findings to Promise Heights goals and strategies in order to improve programmatic outcomes. Reviews analysis and reports of less experience members of the research team.
  • Work with Assistant Director & Lead Developer to manage and design longitudinal case management data system (ProMIS) for Promise Heights staff and train Promise Heights staff, interns, and PromiseCorps in using this system.
  • Create monthly evaluation reports for school-based partners using a
  • Results-Based Accountability framework to ensure programs are producing desired results and impact. Share results with Promise Heights staff, school-based administration, community members, and federal funders.
  • Analyze student-level data for all 5 Promise Heights schools to assess progress on community-based indicators including academic growth, social-emotional learning, and school wide attendance rates. Use data to inform decision-making, budgeting and creating strategies to improve student results.
  • May supervise/mentor others.
  • Perform other duties as assigned.


  • Education: Bachelor’s degree in Sociology, Psychology, Political Science, Economics, Public Policy, Public Administration, Information Management, Social Science, Mathematics, Statistics, Health Science, or in a field of study related to the research.
  • Preferred Education: Master’s degree in Epidemiology, Sociology, Public Policy, Public Administration, or field of study related to research preferred.
  • Experience: Three (3) years of related experience in a research environment including two (2) years in the relevant research specialization.
  • Other: May consider a combination of directly related experience and education.

Knowledge, Skills, and Abilities

  • Knowledge of position requirements. Knowledge of all applicable requirements, regulations, and laws.
  • Skill in effective use of applicable technology/systems.
  • Ability to effectively communicate both verbal and written thoughts, ideas, and facts.
  • Ability to work cooperatively with others and independently.
  • Detail oriented with the ability to multi-task, work both independently and as part of a team in a dynamic, fast-paced work environment.


How to Apply 

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

Study Manager, Westat

Category : Alumni

Job Summary

Westat is seeking an individual to participate in nationally significant epidemiologic studies working with government scientists from CDC, NIH and other agencies in human health research. This individual will assist in managing the day-to-day activities of ongoing research involving protocol development, liaising with clinical study sites, and the collection, processing, and analysis of health data, including biospecimens.


Job Responsibilities

  • Working with study collaborators and project staff to develop and implement study protocols including preparing data collection forms, procedural manuals, and monitoring reports.
  • Maintaining study documents, hosting meetings with study collaborators and project staff, responsible for project-related day-to-day study communications.
  • Developing requirements for data and specimen management systems; overseeing data and biospecimen collection including working with programmers to develop requirements for QA/QC reports and reviewing generated reports.
  • Identifying and evaluating clinical study sites, analysis laboratories and biospecimen repositories and receiving and analyzing associated health data.


Basic Qualifications

  • A master’s degree in public health or a related field and 3 years of experience is required.

Preferred Qualifications

  • Experience with multi-site clinical epidemiologic studies and data management preferred.
  • Strong oral and written communication skills, administrative abilities, and the capability to handle multiple tasks while working in a team setting are essential.


How to Apply 

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