Health Scientist (Data Scientist), CDC

These positions will be in a new Data Science team that is being formed in the Data Analytics Branch of the Division of Injury Response in NCIPC. This team members will apply data science methods that include artificial intelligence (e.g., machine learning), data linkage, data visualizations, and predictive analytics to various topics and priority areas of the Injury Center. There are multiple positions available across any of these job series.

Summary
The incumbent serves as a Health Scientist performing data science work that requires extraction of knowledge from public health surveillance systems and programs at the local, state and national levels that are structured or unstructured for analysis; improved understanding and communication; development/visualization of new concepts, and/or processes that add value to health services delivery and the decision making process.

Responsibilities
As a Health Scientist (Data Scientist), you will:

Consult and collaborate with statistical, data science, artificial intelligence (e.g., machine learning), and public health.
Plan and conduct research using public health data systems, including survey data, health care facility data, syndromic surveillance data.
Support the development of proposals and projects that align with research and policy goals for data science research and analytic projects.
Assist in monitoring data quality issues as they relate to user data products, and collaborates with Informatics and Information Technology.
Bring and develop expertise in the fields of health science, artificial intelligence.
Collaborate with other professionals within and outside the Center in the conduct of surveillance, research, and analytical studies.
Provide advice on the use of data science tools, methods, and statistical learning models to collect.
Maintain current knowledge of developments in allied health sciences, modeling, and machine learning analysis.
All other duites assigned.

Travel Required
Occasional travel – You may be expected to travel Domestic 5 % for this position.

For more information and to apply, click HERE.

Computer Scientist (Data Scientist), CDC

These positions will be in a new Data Science team that is being formed in the Data Analytics Branch of the Division of Injury Response in NCIPC. This team members will apply data science methods that include artificial intelligence (e.g., machine learning), data linkage, data visualizations, and predictive analytics to various topics and priority areas of the Injury Center. There are multiple positions available across any of these job series.

Summary
The incumbent serves as a Computer Scientist performing data science work that requires application of quantitative and qualitative research and analytics, statistical analysis, and building high quality prediction systems integrated with public health surveillance systems and programs.

Responsibilities
As a Computer Scientist (Data Scientist), you will:

Design experiments, tests hypotheses, and builds scalable data science models.
Conduct advanced data analysis and designs highly complex algorithms using artificial intelligence (e.g., machine learning) methods.
Lead discovery processes with stakeholders to identify business requirements and expected outcome.
Make strategic recommendations on data collection, integration, storage, access, analysis, and retention requirements.
Collaborate with CIO subject matter experts to select the relevant sources of information, which may include non-traditional datasets.
Work with stakeholders to identify the business requirements and the expected outcome.
Develop usage and access control policies and systems in collaboration with the IT security experts to ensure that the information used follows the compliance, access management.
All other duties assigned.

Travel Required
Occasional travel – You may be expected to travel Domestic 10 % for this position.

For more information and to apply, click HERE.

Mathematical Statistician (Data Scientist)- (Direct Hire), CDC

These positions will be in a new Data Science team that is being formed in the Data Analytics Branch of the Division of Injury Response in NCIPC. This team members will apply data science methods that include artificial intelligence (e.g., machine learning), data linkage, data visualizations, and predictive analytics to various topics and priority areas of the Injury Center. There are multiple positions available across any of these job series.

Summary
The incumbent serves as a Mathematical Statistician (Data Scientist) performing data science work that requires application of data mining techniques, statistical analysis, and building high quality prediction systems integrated with public health surveillance systems and programs at the local, state and national levels that are structured to add value to health services delivery and the decision-making process.

Responsibilities
As a Mathematical Statistician (Data Scientist)- (Direct Hire), you will:

Designs experiments, tests hypotheses, and builds scalable data science models
Develop experimental design approaches to validate finding or test hypotheses.
Identify relevant data available, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information, or social media and unstructured web-based data.
Identify and analyzes patterns in the volume of data supporting the initiative, the type of data (e.g., images, text, clickstream or metering data).
Work with IT teams to support data collection, integration, storage, access, analysis, and retention requirements based on the surveillance data collected.
Work with stakeholders to identify the business requirements and the expected outcome.
Partner with researchers and subject matter experts to define the data quality expectation
All other duties assigned.

Travel Required
Occasional travel – You may be expected to travel Domestic 10 % for this position.

For more information and to apply, click HERE.

Statistician (Data Scientist), CDC

These positions will be in a new Data Science team that is being formed in the Data Analytics Branch of the Division of Injury Response in NCIPC. This team members will apply data science methods that include artificial intelligence (e.g., machine learning), data linkage, data visualizations, and predictive analytics to various topics and priority areas of the Injury Center. There are multiple positions available across any of these job series.

Summary
The incumbent serves as a Statistician (Data Scientist) performing data science work that requires application of data mining techniques, statistical analysis, and building high quality prediction systems integrated with public health surveillance systems.

Responsibilities
As a Statistician (Data Scientist) ( Direct Hire), you will:

Design experiments, tests hypotheses, and builds scalable data science models.
Conduct advanced data analysis and designs complex algorithms using artificial intelligence (e.g., machine learning) methods.
Identify relevant data available, including internal and external data sources, leveraging new data collection processes.
Defines the validity of information through automated systems and tools, how long the information is meaningful, and what other information is related.
Work with IT teams to support data collection, integration, storage, access, analysis, and retention requirements based on the surveillance data collected.
Collaborate with the data steward to ensure that the information used follows the compliance, access management, and control policies.
All other duties assigned.

Travel Required
Occasional travel – You may be expected to travel Domestic 10% for this position.

For more information and to apply, click HERE.

Analytic Epidemiologist, Enteric Diseases Epidemiology Branch (EDEB) CDC

Seeking an analytic epidemiologist or a public health-oriented data scientist, statistician, or population biologist/ecologist with a PhD, MD, or DVM to serve as Analytics Team Lead for a group that addresses analytic priorities that include:
• Informing food safety policy and tracking progress toward food safety goals by analyzing large, complex databases from various government, industry, and public sources to estimate, for
bacterial enteric pathogens, the
o number of illnesses, hospitalizations, and deaths, accounting for limitations in surveillance and other data;
o percentage of illnesses acquired by each transmission pathway (food, water, animals, environment, and people);
o percentage of illnesses due to each source (especially food categories); and
o spatiotemporal changes in pathogens and sources responsible for infections
o assessing the possible role of changes in regulation, consumer preferences, food marketing, and pathogens in the trends in illnesses
• Incorporating epidemiologic data analytics into the genomic revolution
• Understanding and adjusting surveillance measures to account for the rising use of cultureindependent diagnostic tests in clinical laboratories that test specimens from ill people.

Background
This branch tracks the incidence of and determines risk factors for illnesses caused by Campylobacter, Escherichia coli O157 and other Shiga toxin-producing E. coli, Listeria, Salmonella, Clostridium botulinum, Shigella, Vibrio, Yersinia, and other known and possible bacterial enteric pathogens. The first four listed are a major focus because they cause many illnesses, hospitalizations, and deaths; are transmitted commonly by food; and are amenable to control by national food safety regulations and policies. Clinical laboratories send bacterial isolates from ill people to state health departments, where whole genome sequencing is conducted. CDC collects data on individual illnesses and outbreaks caused by these pathogens, often with detailed information about the person (e.g., demographics, exposures) and the pathogen (e.g., sequence type, antibiotic resistance, virulence factors). Congress, regulatory agencies, consumer groups, the food industry, and others rely on CDC data and estimates to target and evaluate control measures, and to track progress toward food safety goals. The Analytics Team assists with the design and conduct of epidemiological studies, including population surveys, matched case-control analyses, and other research projects, and uses traditional and advanced epidemiologic and statistical methods and software to conduct analyses, including regression, Bayesian methods, and machine learning.

Duties
• Supervise and mentor a team of doctoral and master’s-level epidemiologists and biostatisticians,
providing technical direction, advice, and guidance to staff and encouraging a team environment.
• Design and evaluate epidemiologic studies and data.
• Document analytic plans and modeling methods and publish scientific papers.
• Collaborate on projects within the Branch, across the Division, and with government agencies (especially food safety regulatory agencies).
• Develop reports and provide presentations to communicate technical information to nontechnical audiences.

Qualifications
Successful candidates will have a doctoral degree (PhD, MD, or DVM) and extensive training in epidemiology, biostatistics, or data science. Qualified candidates should have experience in the application of analytic methods, demonstrated by a relevant scientific publication record. Candidates should have demonstrated the ability to communicate effectively and work well in a collaborative and interdisciplinary environment. Knowledge of and experience with generalized linear mixed models, Bayesian methods, machine learning techniques, and other modern approaches to causal inference and statistical analysis is preferred. Strong computational skills are preferred (e.g., R, SAS, or similar software; BUGS, JAGS, or similar software; and special purpose software, e.g., @Risk or ArcGIS). An understanding of clinical infectious disease or experience in analyses of infectious disease data would enhance the application. For more information: Interested persons should send their resume/CV and a brief statement of interest to edebadminsupport [at] cdc [dot] gov by with the subject line: Analytics Team Lead. For more information, contact Beau Bruce, MD, PhD (lue7 [at] cdc [dot] gov). 

Assistant Director for Community – Engaged Learning & Cultural Humility Development

• Develop, implement, and manage a community-engaged learning program for students at the Rollins School of Public Health

Division of Research Programmer Analyst Training Program

Program Overview

The Division of Research (DOR) Programmer Analyst Training program is designed for entry level analysts interested in health care and epidemiologic research. The program includes a robust curriculum in didactic and interactive programming analysis using data from electronic medical records and other sources. Participants are also embedded with research teams applying their learnings and contributing to real world health research studies. The training program is open to candidates who have recently completed or will complete graduate school by June 2020. Participants in the six-month training program, July 20 – December 18, 2020, are employees with salary and benefits. Upon successful completion of the program, the participant will be evaluated to determine if a long-term position is available.

Program Goals

 Develop skills in programming and analysis techniques for research projects

 Provide opportunities to contribute to epidemiologic and health research studies

 Help successful participants prepare for careers at DOR and Kaiser Permanente Learning Opportunity

 Introduction to Kaiser Permanente’s data systems and databases

 Training in fundamental skills of data extraction, data analysis and consultation, and data presentation for research studies

 One-on-one and group mentoring by experienced team members, including DOR’s research scientists and other senior analysts

 Assignment to one or more ongoing research project teams

 Participation in DOR’s peer group of more than 100 Programmer Analysts

Qualifications

 Recently completed master’s degree program in a related field, such as epidemiology, statistics, biostatistics, or public health

 Interest or training in statistical programming languages

Additional Requirements

 Strong analytical, self-initiative and innovation skills

 Ability to conduct and interpret quantitative and qualitative analyses

 Effective communication, consulting, interpersonal, and presentation skills

 Proficiency with PC applications including spreadsheet, word processing, and graphics packages

 Must be able to work in a Labor Management Partnership environment

 Eligible to work in the US 

To Apply

Applications are now being accepted through January 15, 2020 for the July 20 – December 18, 2020 program. Interviews and hiring decisions will take place January – March 2020. Application Instructions Please create ONE document file (e.g. Word or pdf) containing the items listed below and email to DOR-PA-Trainee [at] kp [dot] org by January 15, 2020, 11:59 pm pacific time.

One document file (e.g. Word or pdf) to include:  1. Cover Letter: limited to two pages in font no smaller than Times New Roman 12 pt or Arial 11 pt. Margins must be 1”. The cover letter must include:

 your programming, internship and/or work experience

 your career goals

 how the program will help you further these goals

2. Resume: the top of the resume must include:  Current degree program and name of school  Expected graduation date                               

3. Two references: reference name, title, organization, phone and email

4. Writing sample (e.g. first few pages of a thesis, report, or paper for coursework where you are the sole author)

5. Work sample, limited to one page, such as an example of programming code, data analysis or similar product, which reflects your skills and experience.

About Us

Kaiser Permanente is an integrated health care delivery system with a diverse membership in eight regions across the US. In the Northern California region, Kaiser Permanente has 4 million members, a network of 21 hospitals and 100 ambulatory medical offices, and a multi-specialty physician group withover 9,000 physicians. The Division of Research, which is part of Kaiser Permanente in Northern California, has more than 600 people on staff, including 55 faculty-level investigators and 80 programmer analysts, with 475 ongoing, funded projects on a wide range of health research topics. Founded in 1961, the Division’s research program has been built on a base of rigorous epidemiologic and health services investigation. In 2017, the Division’s research portfolio totaled over $84 million in grants awarded by the National Institutes of Health, other federal agencies, private foundations, industry, and Kaiser Permanente. The Division of Research draws upon the Kaiser Permanente Northern California Region’s rich electronic medical record data and advanced informatics infrastructure. Located in the San Francisco Bay Area, the Division of Research office is at 2000 Broadway, Oakland, CA 94612. This is near Lake Merritt and the Uptown district, and well-served by public transportation. For more information Visit the Division of Research website by clicking HERE. 

Important Dates:

Applications due: January 15, 2020 by 11:59 pm pacific time Program Dates: July 20 – December 18, 2020

Senior Associate, Antibiotic Resistance Project

The Pew Charitable Trusts uses data to make a difference. For more than 70 years, we have focused on serving the public, invigorating civic life, conducting nonpartisan research, advancing effective public policies and practices, and achieving tangible results. Through rigorous inquiry and knowledge sharing, we inform and engage public-spirited citizens and organizations, linking diverse interests to pursue common cause. We are a dedicated team of researchers, communicators, advocates, subject matter experts, and professionals working on today’s big challenges – and we know we are more effective and creative collectively than we are individually. With Philadelphia as our home town and the majority of our staff located in Washington, DC, our U.S. and international staff find working at Pew personally and professionally rewarding.

Wise stewardship of resources allows Pew employees to pursue work that strategically furthers our philanthropic mission in significant and measurable ways. We collaborate with a diverse range of philanthropic partners, public and private organizations, and concerned citizens who share our interest in fact-based solutions and goal-driven investments to improve society. Pew attracts top talent, people of integrity who are service-oriented and willing to take on challenging assignments. We provide competitive pay and benefits, a healthy work-life balance, and a respectful and inclusive workplace. Pew employees are proud of their colleagues, proud of where they work, and proud of the institution’s reputation.

The Government Performance Portfolio within Program
Government performance, one of the five program portfolios at The Pew Charitable Trusts, identifies and advances effective approaches to improve policy at all levels of government. The portfolio’s project teams conduct research on emerging topics, develop data-driven reports, and highlight innovative approaches in addressing complex problems. Initiatives currently focus on three key areas for federal, state, and local governments: (1) health and human services; (2) management and budget; and (3) safety and justice.

GP utilizes the basic tools required to explore and advance effective policy solutions at the federal, state, and local levels. These solutions include credible, timely, and user-friendly research; assessments of public support for change; strategic outreach and dissemination to ensure that good information is widely communicated to decision-makers, media, influential stakeholders, and the public; the capacity to bring together diverse perspectives and find common ground; and the ability to identify and apply approaches that have proven successful elsewhere.

The GP portfolio is led by the vice president and head of government performance, with support from a vice president and senior directors who provide oversight over select projects and functions within the portfolio.

Antibiotic Resistance Project
Pew’s antibiotic resistance project supports policies and research that would spur the creation of new antibiotics, establish stewardship programs to ensure that antibiotics are prescribed only when necessary in human health care settings, and reduce the need for antibiotics in food animals. Follow this link for more information: https://www.pewtrusts.org/en/projects/antibiotic-resistance-project

Position Overview
The senior associate, based in Pew’s Washington, DC office, informs and influences public policy by providing research and programmatic support to achieve the goals of the project. This includes developing subject matter expertise in the use of antibiotics in food animal production; taking a lead role in the execution of the project’s research and outreach goals; analyzing policies to phase out the overuse of antibiotics in food animals; and assisting with stakeholder convenings and communications. Reporting to the manager, antibiotic resistance project, the senior associate works closely with the senior officer, health program, and other Pew colleagues in communications, research, government relations, and other areas. The position has a set time frame that could be extended based on the success of the program, funding sources, and board decisions on continued support.

Responsibilities
Under the direction of the manager and guidance of other staff (specifically, the senior officer, health program):

Develop relevant subject matter expertise:
Develop a broad knowledge of issues related to antibiotic stewardship in animal agriculture.
Track trends regarding animal antibiotic use.
Proactively identify and monitor the relevant positions of influential stakeholders and thought leaders.
Contribute to research and publication efforts:
Conduct literature reviews, qualitative research, and data analysis.
Track development and implementation of relevant public policy.
Draft fact sheets, issue briefs, Web features, and other publications.
Confirm accuracy of products and publications through quality-control and fact-check processes.
Contribute to policy advocacy and outreach efforts:
Collaborate with communications and government relations colleagues to generate materials and presentations for outreach to the media, policymakers, and key stakeholders and ensure that materials are timely, accurate, and relevant.
Assist in planning, organizing, and coordinating in-person and online convenings of key stakeholders.
Contribute to and participate in tasks of the project and department as assigned, as well as broader Pew-wide projects and committees as needed.

Requirements
Bachelor’s degree in a research or policy-related discipline required. Professional or advanced degree in public policy, veterinary science, or research-related field preferred.
At least four years of applicable experience in research or public policy.
Prior to commencing employment with Pew, candidates for this position who were registered to lobby in any jurisdiction must certify termination of previous registration(s) and provide copies of termination notices with said jurisdiction(s) to Pew.
Knowledge of animal production systems or current policy and research on antibiotic use, particularly in food animal production, is preferred.
Excellent applied research and analytical skills, including a proven ability to comprehend scientific research, synthesize large amounts of scientific information, identify themes, and present the information to an informed general audience.
Ability to focus quickly on the essence of an issue, as well as to identify, understand, and synthesize different policy perspectives.
Excellent oral communication skills, including an ease in conveying complex concepts and issues in a clear, effective manner for policy and general audiences.
Excellent written and editing skills, including a proven ability to learn and adopt new writing styles as required.
Demonstrated project- and time-management skills, including the ability to think strategically, juggle multiple priorities, adjust to changing circumstances, resolve problems creatively and logically, organize time efficiently and remain attentive to details.
Ability to work professionally and collegially within a creative, fast-paced corporate culture that emphasizes excellence and teamwork.

To apply, click HERE.