Senior Research Data Analyst

Department: Obstetrics & Gynecology

Responsible for all aspects of research projects and research facilities. Plans and conducts clinical and non-clinical research; facilitates and monitors daily activities of clinical trials or research projects. Directs engineering and technical support activities to develop and maintain tools and computational methods needed to gather and analyze data.

Conducts data investigation, including data wrangling, cleaning, sampling, management, exploratory analysis, regression and classification, prediction, and data communication. Implements foundational concepts of data computation, such as data structure, algorithms, parallel computing, simulation, and analysis. Utilizes knowledge in game theory, statistical quality control, exponential smoothing, seasonally adjusted trend analysis, or data visualization to gain insights, develop new strategies, and cultivate actionable business intelligence in diverse career tracks across the University.
P3: Requires in-depth knowledge and experience. Uses best practices and knowledge of internal or external University issues to improve products or services. Solves complex problems; takes a new perspective using existing solutions. Works independently, receives minimal guidance. Acts as a resource for colleagues with less experience.

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

Unit-specific Responsibilities

1) Perform significant leadership and creative role in the design, development and execution of quantitative studies using observational, quasi-experimental, experimental and simulation designs as appropriate.

2) Manage and develop a team of masters and more junior-level analysts (biostatistics, informatics, public health, MD-trained analysts) and trainees, including providing support, mentorship and duplicating analyses

3) Lead the writing of the study design and analytic components of proposals, manuscripts and other dissemination materials. Prepare tables and figures for manuscripts, abstracts, and other scientific publications, contributing as author or co-author

4) Oversee development, management and integrity of all research databases, including maintaining and documenting source code for reproducibility of research.

5) Oversee and conduct preparation of datasets for analysis

6) Apply high-level research and writing skills in combination with data analysis skills to ensure timely and effective dissemination of study findings.

7) Identify appropriate statistical methods to address research hypotheses and conduct statistical analyses accordingly. Provide statistical analysis and data management for multiple NIH and other funded projects, including randomized controlled trials, longitudinal intervention studies, network studies of information-based and clinical interventions

8) Participate in regular meetings to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.

Unit-preferred Competencies

1) Demonstrated ability in effective management and training of analysts

2) Demonstrated success in development and writing of federal (especially NIH) and other funding proposals

3) Demonstrated skills using analytic software including STATA or the equivalent required; ArcGIS preferred; social network, systems science, machine learning, predictive analytics experience a plus

4) Proficiency with Microsoft applications, including but not limited to Outlook, Excel, Access and Word

5) Ability to adhere to protocols for maintaining confidentiality of protected health information, and work with sensitive information

6) Meticulous attention to detail and excellent organizational skills.

7) Ability to work on multiple projects simultaneously, set priorities, and meet deadlines.

8) Excellent interpersonal skills and the ability to work both independently and as part of a team.

9) Demonstrated written and verbal communication skills, including ability to communicate results from complex statistical analyses to a lay audience.

10) Flexibility, creativity, and problem solving skills.

11) Ability to collaborate with colleagues from diverse academic and professional backgrounds.

12) Demonstrated effective leadership skills and ability to manage new analysts or students

For more information and to apply, click HERE.

Senior Behavioral Economics Professional, Humana

Description

The Senior Behavioral Economics Professional in Clinical Data Science team designs, executes, and measures the results of large scale experiments. The Senior Behavioral Economics Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

Digital Health and Analytics is a new area of Humana, focused on transforming the health experience for Humana members through the use of technology and analytics. We are looking for a Behavioral Economics Professional to assist in transforming Humana into a best in class Test and Learn organization, using both Behavioral Economics theory and Design of Experiment expertise to design rigorous business experiments that will inform Humana’s strategy moving forward.

The Behavioral Economics Professional will work cross-functionally and collaboratively with teams across Humana in the design, execution, and analysis of business experiments, with emphasis on randomized control studies when appropriate. To enable Humana’s transformation to a best in class testing organization, the Behavioral Economics Professional will guide Business Partners for the Clinical Data science team through a new process that makes it easy for teams to navigate the complexity of testing in a large organization with regards to legal, compliance, and other regulatory oversight.

The ideal candidate will have experience conducting experiments in an applied healthcare setting and have demonstrated innovation and creative methods for overcoming testing constraints.

As a Behavioral Economics Professional, you will:

guide Business Partners through a new Test and Learn process that makes it easy for teams to navigate the complexity of testing in a large organization with regards to legal, compliance, and other regulatory oversight
provide regular reporting of the Test and Learn landscape at Humana
work with Business Partners to clearly define hypotheses and design rigorous tests that allow confidence in the results
provide recommendations for sample sizing through power analysis
apply Behavioral Economics theory to the design of interventions
build strong working relationships with a variety of teams in a collaborative, matrixed environment with physical locations across the U.S.
design, conduct, analyze, and provide recommendations for the interpretation of results of business experiments
First Year Success Factors

You communicate effectively and timely with Business Partners engaged in the Test and Learn process.
You are recognized as an experimentation expert by Business Partners.
You are able to identify innovative methods for overcoming testing constraints.
You have developed effective partnerships with business partners and coworkers.

Required Qualifications

Bachelor’s Degree in Economics, Behavioral Sciences, Applied Statistics, Public Health or related field
Experience conducting lab or field experiments
Experience working with and analyzing various types of data using SAS, R, Python or similar software
History of solving problems, creating solutions and driving change within a team
Naturally curious and comfortable with ambiguity
Demonstrated strategic and analytical thinking
Clear and concise oral and written communication skills
Strong interpersonal and consulting skills

Preferred Qualifications

Master’s or PhD Degree in Economics, Behavioral Sciences, Applied Statistics, Public Health or related field
1-3 years of work experience in healthcare, insurance, or related field
Experience conducting microeconomic or behavioral science research
Previously applied research to help a firm reach objectives
Work experience in a health care and/or Insurance setting

To apply, click HERE.

Epidemiologist Supervisor, Georgia Department of Juvenile Justice

JOB SUMMARY:
Supervises, guides, and/or instructs the work assignments of subordinate staff. Supervises epidemiologic investigations, surveillance, and interventions with significant impact on public health and the agency`s resources. Supervises the collection, analysis, and interpretation of complex statistical data and the preparation of epidemiologic reports.

DUTIES & RESPONSIBILITIES:
• Supervises and plans work of assigned staff.
• Collects, analyzes, and interprets statistical data and prepares reports.
• Provides training, technical assistance, and consultative services regarding epidemiology and the control of diseases.
• Serves as a point of contact for various personnel regarding moderately complex epidemiologic issues.
• Develops policies and procedures for new and existing disease control programs. Designs and leads, from conception to completion, long-term epidemiologic projects with significant impact on public health and the agency’s resources.
• Functions as principal investigator for investigations of diseases and oversees formal case control and cohort studies of complex health issues.
• Oversees the design, implementation, and maintenance of disease surveillance systems. Provides related training, mentoring, and consultation to departmental staff and others. Oversees epidemiologic programs for the control of communicable and/or chronic diseases.
• Develops presentations and publications.

MINIMUM QUALIFICATIONS:
Doctorate degree in public health, Epidemiology, biostatistics or a closely related field from an accredited college or university AND Two years of experience performing epidemiologic work or work in a closely related field OR Master`s degree in public health or a closely related field from an accredited college or university AND Five years of experience performing epidemiologic work or work in a closely related field OR Bachelor`s degree from an accredited college or university AND Six years of experience performing epidemiologic work or work in a closely related field OR One year of experience at the lower level Epidemiologist 3 (HCP182) or position equivalent.

PREFERRED QUALIFICATIONS:
Preference will be given to applicants who, in addition to meeting the minimum qualifications, possess two or more of the following:

1. Doctorate degree in Public Health, Epidemiology, Biostatistics.
2. Author of research article in a peer reviewed journal addressing problem in public health, epidemiology or biostatistics.

To apply, click HERE.

California Department of Public Health EIS Fellowship Program, due 11/1

Mission: To prepare epidemiologists for public health leadership positions in California.

Goals:

To provide experience in epidemiology and public health practice during placements with governmental health agencies.
To produce well-trained epidemiologists for employment in California public health agencies.
To assist local health departments in emergency outbreak and other field of epidemiology investigations, if the opportunity arises.
California Epidemiologic Investigation Service (Cal-EIS) is a one- or two-year program for promising but green epidemiologists to gain hands-on experience working with an epidemiologist preceptor in either local or state health departments in California.

Established in 1989 in response to the California Conference of Local Health Officers’ need to employ qualified epidemiologists in California’s health departments, Cal-EIS provides one year of training in applied epidemiology for epidemiologists who have recently graduated from a Master’s degree program. Occasionally, there is the opportunity to extend the Fellowship for a second year.

Cal-EIS takes pride in public health workforce training. It is a unique program; very few states have a training program designed to train Master’s-level epidemiologists.

For more Information and to apply, click HERE.

CDC Spatial Epidemiology and Statistics Fellowship, due 10/28

A research opportunity is currently available with the Epidemiology and Surveillance Branch (ESB), Division of Heart Disease and Stroke Prevention (DHDSP), within the National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.

The Epidemiology and Surveillance Branch monitors heart disease and stroke patterns and trends through the timely collection, analysis, interpretation, and dissemination of programmatically relevant data.

Under the guidance of a mentor, the selected participant will have the opportunity to gain experience in advanced spatial and spatiotemporal studies of heart disease and stroke morbidity and mortality. These activities may include:

Creating, updating, analyzing and managing very large datasets
Participating in advanced spatial and/or spatio-temporal analyses of heart disease and stroke morbidity, mortality and risk factors using Bayesian and frequentist approaches
Writing summaries of methods, results and interpretations for use in government reports and peer-reviewed articles
Conducting literature reviews
Presenting the results to internal and external audiences, including professional meetings and/or conferences
Anticipated Appointment Start Date: October 28, 2019

This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and CDC. The initial appointment can be up to one year, but may be renewed upon recommendation of CDC contingent on the availability of funds. The participant will receive a monthly stipend commensurate with educational level and experience. Proof of health insurance is required for participation in this program. The appointment is full-time at CDC in the Atlanta, Georgia, area. Participants do not become employees of CDC, DOE or the program administrator, and there are no employment-related benefits.

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

Preferred skills:

Experience analyzing spatial and/or spatiotemporal data
Experience in the management and analysis of large data sets
Knowledge/Awareness of Bayesian statistical methods
Experience using statistical software, such as SAS or R, for data analysis
Experience using ArcGIS or other mapping software package

For more information and to apply, click HERE.

TPMG Consulting Services

The TPMG Consulting Services department at Kaiser Permanente provides analytic and business consulting support to the executive leadership of The Permanente Medical Group (TPMG) in Northern California. We are currently seeking talented analytic consultants with a strong mix of technical and consulting skills for roles based in our Oakland, CA office. With a range of experience levels, our analytic consultant positions include:

• Consulting Data Analyst

• Senior Consulting Data Analyst

• Data Consultant

• Senior Data Consultant

These positions are part of a large, collaborative team of highly skilled analytic programmers who enjoy working in a fast-paced environment that primarily uses SAS and SQL. Our team delivers data-driven insights to TPMG clinicians to inform and influence strategic performance improvement initiatives. Day to day, this means our team members scope projects, consult with clients, explore data, and write code to generate—and automate—actionable reports and intuitive dashboards via the latest data visualization tools.

To express interest, refer a candidate, or request additional information, please contact TPMG-Consulting-Services-Analytic-Recruiting [at] kp [dot] org.

BRFSS and Data Manager position, due 9/20

Early Career Professionals, CSTE

CSTE is currently accepting applications for interested mentors and mentees for this program. The purpose of the program is to provide an opportunity to build relationships and foster shared learning among applied epidemiologists. The goal is to promote the exploration of career opportunities in state, local, territorial, and tribal agencies. A previous participant described their experience:

“The mentorship program was really valuable. I developed a great connection with my mentor and really felt that this was time well spent. I was able to think about my next career steps and reflect on my values and goals.”

CSTE membership is encouraged but not required to participate. The estimated time requirement for mentors and mentees is up to two hours per month.

Consider serving as a mentor: No previous mentorship experience is required, and it is an ideal opportunity for mid-level epidemiologists. Mentors are required to have at least five years of work experience. Click here to REGISTER for the Prospective Mentor Webinar on Wednesday, September 11, at 1:00 pm EDT. During this webinar, we will answer your questions and learn more about the Mentor’s role in our program.

Early career professionals can participate as mentees: Eligible mentees should be entry-level epidemiologists who have graduated within the last five years or current students.

Previous participants: Those who have previously participated in the program are eligible to apply again. If accepted, you will be matched with a new mentee or mentor; however, please note that there have been only minor changes to the program curriculum. 

Start your application today to participate in the 2019-2020 Mentorship Program. All applications are due by September 25, 2019. Please note that all applicants may not be accepted; space is limited based on the number of mentors that apply.

For specific questions about the Mentorship Program, please email Alyaa Altabbaa at aaltabbaa [at] cste [dot] org.

ORISE Opportunity with CDC’s Division of Emergency Operations

FELLOWSHIP DESCRIPTION:

An ORISE Fellowship position exists with the Plans Team within the Plans, Training, Exercise, and Evaluation Branch within the Division of Emergency Operations at CDC’s Center for Preparedness Response. The Plans Team is responsible for applying the National Response Framework in the development of all-hazard preparedness and response plans for the agency. As part of the plans development process, the Plans Team develops, writes, coordinates and publishes CDC plans for all public health responses. The Plans Team is looking for an ORISE Fellow who has an interest in training and education in public health emergency response.

Under the guidance of a mentor, the Fellow will support the following activities of the Plans and IMTDP Teams:

Plans Team:

Assist with development of Plans internal processes and SOP development
Assist with development of communication material (e.g., Connects article, marketing, success stories)
Organize and analyzes training data of the National Planners Course and presents results to a variety of key stakeholders

Incident Manager Training & Development Program (IMTDP):

Assist with training and education material development to align future National Planners Course as part of the Responder Education and Leadership Academy
Assist IMTDP education processes and CDC quality training standards
Provides consultation on training evaluation and analysis

Interested candidates should forward resumes to Silvia Trigoso at kje0 [at] cdc [dot] gov by September 13, 2019.

GIS and Data Analysis Specialist

ORGANIZATION
PSE Healthy Energy is a non-profit energy science and policy research institute dedicated to supplying evidence based, scientific information and resources on the environmental, public health, and climate dimensions of energy production and use. Our work focuses on oil and gas development (e.g., “fracking” and enhanced oil recovery), power plants, renewable energy, energy storage, and water and air quality. Our positive, dedicated, and high-functioning team is based out of Oakland, CA.

PSE’s mission is to bring scientific transparency and clarity to energy policy discussions and decisionmaking, helping to level the playing field for citizens, NGOs, the media, policymakers, agency staff and elected officials by generating, translating, and disseminating scientific information. No other interdisciplinary collaboration of physicians, scientists, and engineers exists to focus specifically on issues of health and sustainability at the intersection of energy science and policy.

POSITION
The GIS and Data Analysis Specialist will work with researchers and scientists across all practice areas at PSE. Typical projects may range from demographic analyses of populations living near fossil fuel infrastructure to managing large environmental and health datasets. The role will require being flexible, working with multiple team members, and responding quickly to changing research needs. Specific initial projects will likely include integrating and cleaning large datasets of air pollutant measurements and effluent and groundwater quality data. The ideal candidate will have deep expertise in performing spatial analysis using GIS, operating database management systems, and conducting statistical analyses. The candidate should be self-motivated, willing to adapt to working on multiple projects, ready to bring new ideas to the table, and excited to work in an environment at the science-policy interface where there is always more to learn and there is always a new frame to put on a problem.

ROLES AND RESPONSIBILITIES
Spatial analysis: perform demographic proximity analyses; map environmental, health and energy infrastructure data; create spatial data visualizations for internal and public use; support numerous PSE research initiatives and studies.
Database management and analysis: help clean and manage large health, environment and energy datasets; perform statistical analyses to support research questions; integrate temporal and spatial analyses.

REQUIREMENTS
In addition to an ability to meet the above responsibilities, the position will require:

A Master’s degree or an undergraduate degree with demonstrated experience in Geographical Information Systems, computer science, engineering, energy science, atmospheric science, environmental science, public health, or related field. PhD’s are also welcome to apply.
Experience working with and managing large datasets and statistical analyses
Demonstrated research experience with GIS
Experience with Python, R, Stata, SPSS, Tableau, air quality modeling and/or other analytical and data visualization tools strongly desired
Scientific writing skills
A proven record of being able to work both collaboratively and independently
Scientific and moral integrity
A sense of humor

LOCATION
Onsite in Oakland, CA preferred; Telecommute considered for right candidate.

SALARY AND BENEFITS
Salary is commensurate with experience. We provide a competitive benefits package including health insurance, retirement benefits, paid vacation and sick leave.

TO APPLY
Please send a cover letter and a CV to jobs [at] psehealthyenergy [dot] org by October 1, 2019.

Please put “GIS and Data Specialist” in the subject line.

For more information, click HERE.