Data Analyst, HealthMPowers

Description:

The Data Analyst will manage the collection, analysis, reporting and storage of data from a variety of platforms and sources.

Duties and Responsibilities: 

• Assist sectors in program evaluation and reporting guided by SNAP-Ed Guidance, SNAP-Ed Framework and state program reports
• Prepare unduplicated direct nutrition education counts and participating qualifying site location reports for SNAP-Ed monthly, quarterly and annual reports.
• Prepare monthly, quarterly SNAP-Ed reports
• Assist with the development of the SNAP-Ed annual report and EARS report
• Oversee data cleaning, coupling, analyses and complex survey analysis using appropriate software data resources (e.g. RStudio, SAS, Qualtrics, SPSS, REDCap, DataFax, MAXQDA)
• Prepare data visualizations as requested
•  Review and ensure accuracy of SNAP-Ed sector reports by external evaluators, provide suggestions for improvement and develop summary reports
• Manage data to provide information for program decision making and prioritize evaluation and data information needs
• Interpret data, analyze results and provide ongoing reports to sector leaders.
• Assist in streamlining data collection tools and processes using technology
• Develop databases and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality for quantitative and qualitative data collection
• Acquire data from primary or secondary data sources as needed and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Locate and define new data process improvement opportunities.
• Provide professional development for HealthMPowers leadership and staff on program evaluation and appropriate data strategies.
• Maintain resource usage database and provide monthly reports to sector leadership
• Ensure accurate collection and reporting of site use of program resources.
• Collect, summarize and file staff program delivery documentation
• Oversee the implementation of any new data software (e.g. PEARS)

Qualifications:

• Bachelor’s degree required, Master’s degree in Public Health preferred
• Minimum of 2 years experience in technical data analysis
• Experience with statistical packages like SAS, SPSS, RStudio required
• Advanced MS Excel proficiency
• Passionate about data and analyzing business needs

Competencies:

• Ability to synthesize information
• Ability to analyze data using a variety of sources and databases
• A commitment to producing high quality and detailed work
• Ability to learn quickly, work in a fast-paced environment and multi-task effectively
• Ability to identify challenges and actively work to find solutions
• Ability to translate data in communication and written reports
  Ability to work well independently while collaborating with others to meet common goals and evaluation metrics
• Flexibility and comfort with ambiguity

Apply: 

• Email info [at] healthmpowers [dot] org to express interest in the position and learn more about how to apply online 

Opioid Crisis Research Position, Ohio State University

Description

Ohio has experienced a severe opioid and substance use crisis over the past several years. Our team at The Ohio State University College of Public Health is seeking a professional with an MPH or MS in epidemiology, biostatistics, behavioral science, or similar field to join our research and data management team. We are looking for a team player to work with several ongoing research projects related to opioid use and infectious diseases in southern Ohio.

Responsibilities

Core responsibilities include project management and monitoring study activities and data collection, implementing changes to the protocol and data/specimen collection procedures, assuring study protocols are in compliance with appropriate rules and regulations, creating and submitting IRB modifications, creating reports for meetings with the principal investigators and co-investigators to monitor recruitment and retention, creating agendas, and leading/facilitating project team meetings. The projects work closely with collaborators at the University of North Carolina.

To Apply 

If you are interested, please contact Dr. Kathryn Lancaster (lancaster [dot] 111 [at] osu [dot] edu) or Dr. William Miller (miller [dot] 8332 [at] osu [dot] edu) at Ohio State.

Postdoctoral Fellowship in MCH and Adolescent Health, UC Berkley

Postdoctoral Fellowship in Adolescent Health, UC Berkley

Epidemiologist Research Associate, Clinton Health Access Initiative

Overview

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to saving lives and reducing the burden of disease in low-and middle-income countries, while strengthening the capabilities of governments and the private sector in those countries to create and sustain high-quality health systems that can succeed without our assistance. For more information, please visit: http://www.clintonhealthaccess.org. 

Malaria is one of the world’s most important causes of illness, death, and lost economic productivity. Over the past decade, dramatic increases in donor funding have facilitated scale-up of effective interventions to prevent, diagnosis, and treat malaria. This investment has successfully reduced the burden of malaria in many settings, and some countries have begun planning to eliminate it altogether. CHAI’s global malaria program provides direct management and technical support to countries around the globe to strengthen their malaria programs and reduce the burden of this preventable, treatable disease.

In parts of West Africa, CHAI provides technical and managerial assistance to national malaria programs in order to accelerate policy changes, ensure sufficient supply commodities, generate demand among health providers and patients and ensure adequate monitoring and troubleshooting mechanisms are in place to track progress. In addition, CHAI is also supporting national malaria programs to identify the bottlenecks and potential solutions in surveillance systems, specifically to improve the collection, reporting, analysis and use of data for programmatic decision-making. Benin and Burkina Faso are the newest additions to CHAI’s portfolio in the region, where initial efforts will be focused on conducting country-specific surveillance landscaping assessments. Similar assessments are expected to be conducted in two additional countries and therefore a total of four countries across Sub-Saharan Africa.

Overview of Role

• CHAI is seeking a highly motivated individual with strong public health experience and analytical skills to support the expanded surveillance and analytics scope of work across West Africa, with an initial focus on Benin and Burkina Faso. The project will initially focus on the design and implementation of a landscaping assessment to identify of critical technical, operational and financial bottlenecks in surveillance (data collection, reporting, analysis and feedback) at all levels of the health system (health facility up to national) in 2-4 countries in Sub-Saharan Africa, and provide prioritized recommendations to address these gaps.
• Specific activities will include: desktop review of relevant policy, scientific and grey literature, qualitative assessments of surveillance system performance through interviews with key stakeholders at national and local level, as well as other relevant partners, designing and implementing health facility survey to quantify the performance of surveillance system, and epidemiological analysis of malaria surveillance, case management, entomological and intervention data and key malaria indicators.
• The individual will report to the Technical advisor for East, Central, West Africa and work with team members across CHAI’s Global, Regional and Country Malaria Teams and will therefore need to possess strong communication and organizational skills. It is expected that the Research Associate will need to collaborate with government programs, academics and public health agencies to ensure CHAI’s work is complementary and not duplicative other ongoing efforts.

Responsibilities

• Implement analytical projects related to malaria epidemiology, intervention and surveillance, as required;
  Responsible for country-level implementations of surveillance assessment protocols, and lead activities that relate to that – partner engagement, submission of IRBs, selection of data firms, training of data collection teams, monitoring data collection, data management and analysis, organization of in-country meetings
• Organize and merge available data, assessing its quality and suitability for analysis, data management and conduct statistical analyses
• Appropriately and concisely visualize data in the form of charts and maps;
• Provide technical supervision, training and ad-hoc programmatic support to staff members involved in epidemiological activities such monitoring and evaluation of existing activities, study implementation and all data cleaning, management and analysis tasks;
• Develop and maintain strong working relationships with key stakeholders across government, non-governmental organizations, and academic institutions, with support from program managers;
• Synthesize results, translate them to national and sub-national government partners to support evidence-based decision making, and disseminate findings through high-quality presentations, reports, and publications internally and externally at international venues;
• Any other tasks identified.

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

Health Information Associate, Clinton Health Access Initiative

Overview

Postdoc Opportunity in Seroepidemiology, UCSF

Position Summary

The Francis I. Proctor Foundation at the University of California, San Francisco is seeking a postdoctoral fellow to contribute to seroepidemiologic studies of trachoma and other neglected tropical diseases. The NIH-funded position will focus on computational research in close collaboration with immunology labs at the US Centers for Disease Control and Prevention, the Kenya Medical Research Institute (KEMRI), and potentially others. Our group has multiple, active field studies throughout Africa funded by the NIH and Bill & Melinda Gates Foundation, many of which include geolocated, serological antibody measurements. This position is located at UCSF in San Francisco (https://proctor.ucsf.edu/), and is available beginning in May 2020 (start date negotiable). 

Responsibilities 

The postdoctoral scholar will work closely with Dr. Benjamin Arnold to study infectious disease transmission through antibodies measured in blood, using machine learning and semi-parametric methods. We are embarking on new spatial dimensions of this work, such as using geostatistical models to identify foci of transmission (“hotspots”) and to predict locations of future infection. The postdoc would join an exceptional team at Proctor, with latitude to lead seroepidemiologic analyses at the intersection of disease elimination, integrated serological surveillance, child mortality, and child nutrition. Extensions of the seroepidemiologic research to enteric pathogens, malaria, and vaccine preventable diseases would be possible. The new member of our team will connect into a broad academic network that includes colleagues in Proctor’s infectious disease modeling core (2 other postdocs, currently), UC Berkeley epidemiology/biostatistics, UCSF’s EPPI Center (https://eppicenter.ucsf.edu/), and the NTD modeling consortium (https://www.ntdmodelling.org/).

Qualifications and Experience

Ideal applicants will have a PhD and a record of achievement in infectious disease epidemiology, biostatistics, or quantitative biological fields. Applicants must have strong writing and analytical skills, should be adept at programming and data analysis (e.g., R, Python), and should have publication record commensurate with experience. We are particularly interested in applicants who are interested in global health and who have experience in geostatistical modelling approaches in R and/or Google Earth Engine environments. Applicants without experience in geostatistical modeling but who have strong computational skills and an interest in the topic should apply. Experience with machine learning, causal inference methods (e.g., DAGs, structural causal models, doubly-robust estimation approaches), and transparent/reproducible data science tools (e.g., GitHub, R markdown) would be helpful to integrate quickly into our team’s workflow. UCSF seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. 

This position is located at UCSF in San Francisco (https://proctor.ucsf.edu/), and is available beginning in May 2020 (start date negotiable). 

Application Process

We will review applications on a rolling basis through the recruitment period. We are dedicated to mentoring and supporting our postdocs so they succeed in their academic career.

Interested applicants should submit a curriculum vitae, a 1-2 page letter that describes their scientific contributions to date and interest in the above areas of research, and contact information for three references, to Dr. Ben Arnold ben [dot] arnold [at] ucsf [dot] edu. Specific questions regarding this position can be addressed to Dr. Arnold as well.

ORISE Injury Prevention Research, US Army Public Health Center

Organization Description 

Benefits and Appointment Length 

Click here to apply!

MS and PhD Programs in Environmental Epidemiology, Colorado State University

Biostatistician, RSPH Dept. of Epidemiology

Description

We are seeking a staff biostatistician to work in the area of cancer-related epidemiologic research and integrated genetic and genomic data.

The biostatistician designs, writes, and tests complex statistical analyses.

The incumbent collaborates and supports epidemiologic and molecular epidemiologic projects, provides project status reports and provide research publication and grant proposal support.

The incumbent’s research primarily will be focused on epidemiologic and integrative analysis of genomic and transcriptome data in investigation of cancer epidemiology.

Minimum Qualifications:

A bachelor’s degree in statistics, biostatistics, computer science, or a related field and two years related experience, OR an equivalent combination of education, training, and/or experience.

Desired Qualifications:

• Master’s or higher degree in Biostatistics, Genetics, Epidemiology, or a related field;
• Knowledge of statistics and genetics;
• Experience with statistical software (SAS, R);
• Some working knowledge of Python and experience working in a Unix / Linux environment is desired but not required.
• The successful candidate experience includes working with large-scale multi-center studies;
• Working knowledge of existing tools for genetic analysis and data management.

Additional Details

• Ability to manage his/her time with minimal supervision is desired;
• The ability to work independently combined with willingness to work in a highly interactive and collegial group is desired;
• Excellent written and oral communication skills.

Apply:

Interested students/alumni should email Dr. Schildkraut directly joellen [dot] m [dot] schildkraut [at] emory [dot] edu to pass along their resume/CV and express interest in the position. 

Start Date: May 2020, but there is a possibility of starting as part-time in the spring until the student graduates.