Lisa Horwitz is the Partner Program Manager in the Global Alliances and Channels organization at SAS. She works closely with Partners to ensure that they meet the requirements and take advantage of the benefits of the SAS Partner Program.

Lisa has been at SAS for more than 30 years. Prior to her current role in GAC she was an Instructor in the Education division, a Technical Manager in Sales, and an Advisory Technical Architect in the Customer Loyalty organization.   She was the author of a monthly SAS Talks blog and is a frequent presenter at local and regional SAS user group conferences and at SAS Global Forum.

Lisa holds a B.S. from Old Dominion University in Computer Science and an M.A. in English from the University of Illinois. She is originally from New York City and is currently located in Cary, NC.

 

Maranatha (Mara) Mishkin is the Operational Analytics Manager at IDEXX, located in Westbrook Maine. Her experience includes analysis in Finance, Health Care, Operations and Life Sciences. She has used SAS for most of her analytic career and enjoys training other analysts.

Title:  Developer, Data Services

Company Profile

RxAnte is a mission-driven healthcare improvement company that helps healthcare organizations and consumers make better use of prescription medicines. Our patent-pending analytics and clinical programs help health plans, healthcare providers, and drug makers deliver more targeted, more effective, and more efficient medication adherence programs.  We are based in Portland, Maine but offer a flexible work environment with many of our employees working from home offices around the country.

Job Profile

The Developer is responsible for designing and building the systems required to deliver RxAnte’s analytic products in a scalable manner.  Strong analytic and SAS programming skills are required.  The Developer reports to the Manager of Data Services and works with fellow developers to establish the architectural design patterns for our systems.  The developer builds these systems by employing iterative and agile development techniques and modular code.  In addition to designing and developing the systems, the developer contributes to the monthly production of client deliverables and works with clients as needed to acquire data and resolve data issues.

The main priorities of the Developer position are as follows:

  • Work with team to maintain computing infrastructure and develop long-term computing/software architecture
  • Establish and maintain project-deliverable processes with an eye toward scalability
  • Rework and enhance existing base code, building in scalability and systemizing as necessary
  • Program client-deliverable projects using SAS, R, and other software as required
  • Collaborate with our client’s IT team to acquire client data and resolve client data issues
  • Other activities as needed

  Minimum Qualifications

  • A Bachelor’s degree is required; an advanced degree in epidemiology, health services research, health policy, public health, mathematics/statistics, computer science, or other relevant fields is preferred
  • 2+ years of relevant/related experience in similar role
  • Strong SAS coding experience and skill, including system design
  • Experience working with administrative health care data (e.g., commercial medical, hospital, and pharmacy claims, and Medicare or Medicaid data), healthcare informatics, or health care claims processing
  • Experience designing, constructing, and using large databases for research purposes
  • Strong internal and external communication skills
  • Ability to bring business perspective to projects
  • Strong Analytical skills
  • Willingness to travel as needed
  • Lastly, you must reside in the United States, and pass a substance abuse screening (this does not include drugs that are prescribed by a physician—those ones are fine and we won’t be told if you are taking them).

Required SAS Skills

  • Ability to read in complex raw data files
  • Ability to manipulate data in a SAS datastep, using array processing, by group processing with first., last., retain, SAS functions, SAS dates, etc.
  • Experienced using SAS hash objects, hash tables, and iterators.
  • Extensive use of proc format
  • Ability to understand how SAS programs are tokenized, compiled, and executed
  • Understanding of how the macro processor works; and how to access SAS metadata using dictionary tables, and how to use dictionary tables and SAS macros to write dynamic and robust code
  • Ability to understand program data vector and the difference between SAS executable and non-executable statements
  • Experience with report writing using ODS, data null, proc summary, proc report, proc tabulate
  • Extensive experience using proc sql (within SAS and pass-through to Oracle, DB2, etc.)
  • Experience using table-driven development techniques for modular coding

Apply: https://www.rxante.com/careers/

Title:  Analytic Programmer

 Company Profile

RxAnte is a mission-driven healthcare improvement company that helps healthcare organizations and individuals make better use of prescription medicines. Our patent-pending analytics and clinical programs help health plans, healthcare providers, and drug makers deliver more targeted, more effective, and more efficient medication adherence programs.  We are based in Portland, Maine but offer a flexible work environment with many of our employees working from home offices around the country.

 Job Profile

As part of the Client Analytics team at RxAnte, you’ll be responsible for providing analytical and strategic support to multiple customers, both internal and external. Our primary data sources are administrative healthcare and pharmacy claims data, however; we also use our own proprietary data. When we need to answer difficult medical and pharmacy health care questions for our clients or make business decisions for ourselves, here’s what we’ll need from you.

  • Tell us what data we need to answer the questions we have.
  • Tell us the questions we can answer with the data we have and recommend additional sources when appropriate.
  • Aggregate data from multiple sources to create unique datasets.
  • Analyze the data and present a concise summary of the results annotated with the appropriate caveats.
  • Create meaningful tables/charts/graphs that can be analyzed and discussed with internal teams and then presented to clients in an accessible way.

Here’s why we think you’ll enjoy working with us:

  • You’ll be intellectually challenged. The problems you’ll be given are hard, the answers are not straightforward, and the timelines are tight.
  • Your work will be both independent and collaborative, which means you’ll have resources and support to chart a path forward, and the freedom to identify the best way to get there.
  • You’ll work with people who enjoy what they do and are good at doing it.
  • You’ll make a meaningful impact on improving the health and wellness of millions of patients.
  • We’ll measure you on your results rather than the number of hours you are putting in.

Qualifications

  • An advanced degree in epidemiology, health services research, health policy, public health, mathematics/statistics, or other relevant fields is preferred. But, if you dropped out of school because you’re a self-taught, creative, and diligent problem solver, that works too!
  • Experience and interest coding in SAS. This is a requirement, we have a very small team and need people to be able to hit the ground running.
  • A basic understanding of statistics—if you don’t know what it takes for something to be significant, this position isn’t for you.
  • Experience working with large datasets, preferably in healthcare.
  • Lastly, you must reside in the United States, and pass a substance abuse screening (this does not include drugs that are prescribed by a physician—those ones are fine and we won’t be told if you are taking them).

Apply: https://www.rxante.com/careers/

The links to the job descriptions are:

https://harvardpilgrim.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&id=23&jobid=291674&company_id=15561&version=1&source=ONLINE&JobOwner=1015990&level=levelid1&levelid1=103962&startflag=2

https://harvardpilgrim.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&id=23&jobid=291673&company_id=15561&version=1&source=ONLINE&JobOwner=1015990&level=levelid1&levelid1=103962&startflag=2

Contact person:

Trang Trinh

HR Assistant

Human Resources

(617) 509-2780 (direct)

trang_trinh@harvardpilgrim.org

Harvard Pilgrim Health Care
1600 Crown Colony Drive
Quincy, MA 02169

www.harvardpilgrim.org

Title:  Analytic Programmer; RxAnte, LLC.

Company Profile

RxAnte is a mission-driven healthcare improvement company that helps healthcare organizations and individuals make better use of prescription medicines. Our patent-pending analytics platform helps health plans, healthcare providers, and drug makers deliver more targeted, more effective, and more efficient medication adherence programs.  We are based in Portland, Maine but offer a flexible work environment with many of our employees working from home offices around the country. 

Job Profile

As part of the Client Analytics team at RxAnte, you’ll be responsible for providing analytical and strategic support to multiple customers, both internal and external. Our primary data sources are administrative healthcare and pharmacy claims data, however; we also use our own proprietary data. When we need to answer difficult medical and pharmacy health care questions for our clients or make business decisions for ourselves, here’s what we’ll need from you.

  • Tell us what data we need to answer the questions we have.
  • Tell us the questions we can answer with the data we have and recommend additional sources when appropriate.
  • Aggregate data from multiple sources to create unique datasets.
  • Analyze the data and present a concise summary of the results annotated with the appropriate caveats.
  • Create meaningful tables/charts/graphs that can be analyzed and discussed with internal teams and then presented to clients in an accessible way.

Here’s why we think you’ll enjoy working with us:

  • You’ll be intellectually challenged. The problems you’ll be given are hard, the answers are not straightforward, and the timelines are tight.
  • Your work will be both independent and collaborative, which means you’ll have resources and support to chart a path forward, and the freedom to identify the best way to get there.
  • You’ll work with people who enjoy what they do and are good at doing it.
  • You’ll make a meaningful impact on improving the health and wellness of millions of patients.
  • We’ll measure you on your results rather than the number of hours you are putting in.

Qualifications

  • An advanced degree in epidemiology, health services research, health policy, public health, mathematics/statistics, or other relevant fields is preferred. But, if you dropped out of school because you’re a self-taught, creative, and diligent problem solver, that works too!
  • Experience and interest coding in SAS. This is a requirement, we have a very small team and need people to be able to hit the ground running.
  • A basic understanding of statistics—if you don’t know what it takes for something to be significant, this position isn’t for you.
  • Experience working with large datasets, preferably in healthcare.
  • Lastly, you must reside in the United States, and pass a substance abuse screening (this does not include drugs that are prescribed by a physician—those ones are fine and we won’t be told if you are taking them).

Apply: https://www.rxante.com/careers/

Contact person is Trang Trinh trang_trinh@harvardpilgrim.org

 

Job Title: Lead Research Associate, Sentinel

Tracking Code: 291523-561

Job Location: Boston, Massachusetts, United States

Job Type: Full-Time/Regular  Apply online at: www.harvardpilgrim.org/careers
Sentinel is an FDA-funded medical product surveillance system coordinated by the Therapeutics Research and Infectious Disease Epidemiology (TIDE) group that sits within the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute. TIDE brings together the expertise of over 60 faculty, researchers, analysts, programmers, software developers, and staff who together support FDA’s regulatory mission.

The Data Management and Quality Assurance Lead Research Associate works under the general direction of the Assistant Director for Scientific Solutions to define, manage and lead all activities relating to the compliance to the Sentinel Common Data Model (i.e., both quality assurance and characterization) of data held by data partner organizations within the Sentinel Distributed Database (SDD), and assure that the work is carried out in accordance with Sentinel stakeholder expectations and Sentinel Standard Operating Procedures (SOPs). The incumbent will also contribute to the strategic vision, planning, development, selection and scoping of specific data quality assurance projects as well as support decision-making activities relating to Sentinel Common Data Model revisions and other data expansion activities. Please see the public website for additional information about Sentinel: http://mini-sentinel.org/

 

Duties and Responsibilities:

  • Define critical-need areas, business requirements, and use cases with respect to assessing and assuring the quality and characterization of data held across all data partner organizations that contribute data to the SDD, in partnership with key stakeholders, including but not limited to: Assistant/Associate Director for Scientific Solutions, as well as internal and external Sentinel stakeholders and collaborators
  • With little to no supervision: plan, staff, track and progress-report a variety of data quality assurance and characterization activities, including but not limited to data management, technical project management, data quality assurance and characterization reviews, prioritization and investigation of data anomalies, communication and reporting of issues and findings, and effective resolution of issues and findings to the satisfaction of multiple stakeholder teams and in accordance with Sentinel SOPs
  • In consult with each SDD data partner organization, establish and enforce a data update/refresh schedule; communicate the same to multiple stakeholder teams on a regular basis
  • Design, maintain, document and manage the quality control of SAS programs that generate both routine and ad hoc reports relating to data quality assurance and characterization, in close consultation with investigators, statisticians and senior programmers and in accordance with internal standards and guidelines
  • Develop and maintain a centralized resource to monitor, query and report aggregated data held in a distributed data environment
  • Review, provide content for and enforce Sentinel SOPs with respect to all data quality assurance and characterization matters
  • Contribute to or co-lead select data quality assurance and characterization projects, particularly those representative of new methods designed to streamline existing data quality assurance processes or to foster Sentinel CDM expansion activities
  • Participate in the identification, selection and mentoring of new team members

 

Minimum Requirements:

  • MA/MS in one or more of the following areas: data sciences, medical informatics, quantitative social sciences, public health and/or life sciences
  • 7+ years of experience with database design and analysis, including demonstrated ability to identify, translate, document, and communicate meaningful data anomalies and trends
  • Demonstrated experience with database and analytic applications, including but not limited to SAS, SQL, Microsoft Excel/Access and/or other statistical and database applications (e.g., i2b2, R)
  • Prior project and/or staff management experience, including demonstrated ability to coach and develop colleagues to meet project needs, as well as manage the varied needs of multiple projects simultaneously
  • Demonstrated ability to write and review data-related reports and other documents, for both technical and lay audiences
  • Strong communication and relationship-building skills across all organizational levels, including the ability to quickly synthesize information and develop recommendations for senior leaders
  • Experience with standard medical coding systems (e.g., NDC, ICD-9-CM/ICD-10-CM, HCPCS/CPT, SNOMED CT, LOINC), basic medical terminology and introductory epidemiological principles a plus

Harvard Pilgrim Health Care (HPHC) does not accept unsolicited Agency resumes. HPHC will not pay fees to any third party agency or firm that does not have a signed “Employment Agency Agreement” already on file with Human Resources – The Office of Talent Acquisition.

We are an equal opportunity employer.   We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.   The EEO is the Law poster is available here.

Trang Trinh

HR Assistant

Human Resources

(617) 509-2780 (direct)

trang_trinh@harvardpilgrim.org

 

Harvard Pilgrim Health Care
1600 Crown Colony Drive
Quincy, MA 02169

www.harvardpilgrim.org

Internal Job Title:

Research Associate

Tracking Code:

291410-561

Job Location:

Boston, Massachusetts, United States

Job Type:

Full-Time/Regular  Apply online at: www.harvardpilgrim.org/careers

Are you looking for a place to work where the people genuinely care about shaping the future of health care? Do you want to work with people who are committed to and passionate about helping others live better, healthier lives – at a place where your coworkers are dedicated to innovative research and teaching?

If so, the Department of Population Medicine at the Harvard Pilgrim Health Care Institute (HPHCI) is the place for you. HPHCI is a collaboration between Harvard Medical School and Harvard Pilgrim Health Care and is the only appointing medical school department in the United States based in a health plan. 
As part of our Department of Population Medicine team, you will have the opportunity to be a part of this growing field, which includes many different areas of research, such as Infectious Disease, Obesity, Aging, Cancer and Pediatrics.

Come join our team!

Position Overview:

The Research Associate will work with the Therapeutics Research and Infectious Disease Epidemiology group (TIDE) within the Department of Population Medicine (DPM). The TIDE group manages complex, national, multi-institutional research initiatives that utilize claims data, electronic health data (EHR), and registries. This position is responsible for performing a variety of activities related to data management, analysis, and reporting of results for studies under the growing Infectious Disease research portfolio, including large scale hospital-based cluster randomized clinical trials. This position requires high-level communication and technical skills (SAS programming in particular) for close collaboration with investigators, project managers and other programmer/analysts, both within Harvard Pilgrim Healthcare Institute (HPHCI) and with external institutions.

Duties and Responsibilities:

  • Participate in all aspects of studies, including data management, technical specification development, data analysis, data presentation, and reporting.
  • Develop and maintain statistical programs to perform analyses and generate both routine and ad hoc reports, in close consultation with investigators, statisticians, senior programmers, and software developers. Solid SAS programming skills a must.
  • Work with large medical claims and electronic health record datasets in a in a distributed data environment. 

Minimum requirements:

  • BA/BS in public health, quantitative social sciences, economics, statistics, mathematics, bioinformatics or related field required; MA/MS preferred.
  • Minimum of three years experience with statistical programming in SAS required, R or other statistical software is a plus.
  • Prior relevant experience in a research environment.
  • Exposure to varied data systems (e.g., claims data, electronic health records, registries, clinical trials).
  • Sound knowledge of research methods specific to epidemiology.
  • Sound knowledge of Microsoft Office applications, especially Word, PowerPoint, and Excel.
  • Strong written and oral communication skills.

Harvard Pilgrim Health Care (HPHC) does not accept unsolicited Agency resumes. HPHC will not pay fees to any third party agency or firm that does not have a signed “Employment Agency Agreement” already on file with Human Resources – The Office of Talent Acquisition.

We are an equal opportunity employer.   We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.   The EEO is the Law poster is available here.

Trang Trinh

HR Assistant

Human Resources

(617) 509-2780 (direct)

trang_trinh@harvardpilgrim.org

Harvard Pilgrim Health Care 1600 Crown Colony Drive Quincy, MA 02169 www.harvardpilgrim.org

Apply online at: www.harvardpilgrim.org/careers

Posted Job Title:

PCORnet Project Director

Tracking Code:

291458-561

Job Location:

Boston, Massachusetts, United States

Job Type:

Full-Time/Regular

Posting Date:

12/30/2015

Are you looking for a place to work where the people genuinely care about shaping the future of health care? Do you want to work with people who are committed to and passionate about helping others live better, healthier lives – at a place where your coworkers are dedicated to innovative research and teaching?   If so, the Department of Population Medicine at the Harvard Pilgrim Health Care Institute (HPHCI) is the place for you. HPHCI is a collaboration between Harvard Medical School and Harvard Pilgrim Health Care and is the only appointing medical school department in the United States based in a health plan.  As part of our Department of Population Medicine team, you will have the opportunity to be a part of this growing industry, which includes many different disciplines, such as Therapeutics and Infectious Disease, Obesity, Aging, Cancer and Pediatrics.   Come join our team!

The Project Director will work with the Therapeutics Research and Infectious Disease Epidemiology (TIDE) group within the Department of Population Medicine (DPM). The TIDE group manages complex, national, multi-institutional research initiatives that utilize electronic medical data, such as claims data, electronic health record (EHR) data, and registries to support multiple research and public health initiatives. The Project Director will primarily focus on leading tasks to support the National Patient-Centered Clinical Research Network (PCORnet, www.pcornet.org), an innovative national network funded by PCORI and coordinated at the Department of Population Medicine. PCORnet is designed to enhance the nation’s ability to conduct patient-centered comparative effectiveness research. The Project Director will lead analytic and data related activities for PCORnet, including but not limited to strategic planning and oversight of PCORnet data resources and distributed research network (DRN) infrastructure, and maintenance and expansion of PCORnet distributed analytic capabilities.

DPM is also the Coordinating Center for several other large-scale initiatives, and it is expected that the Project Director will also participate, as appropriate, in those networks, including the FDA Sentinel project (www.mini-sentinel.org) and the NIH Health Care Systems Collaboratory (www.nihcollaboratory.org/Pages/default.aspx). This position requires high-level communication skills, knowledge of research methods and electronic data sources, and knowledge and understanding of research and data informatics and standards. The position requires close collaboration with investigators, project managers and other researchers, both within Harvard Pilgrim Health Care Institute (HPHCI) and externally. This is a high-profile position within PCORnet that will require frequent collaboration with national data, research and informatics experts across PCORnet, within relevant federal agencies (e.g., FDA, ONC, ASPE) and across related multi-site research initiatives supported by NIH, FDA, and others.

Duties and Responsibilities:

  • Oversees a research team that coordinates and implements research activities within PCORnet, including network query fulfillment and the development of analytic tools for use in the network
  • Provides strategic guidance and oversight for PCORnet data and analytic resources and capabilities
  • Participates in the development of research protocols, primarily with respect to the use of available observational health data
  • Contributes to all aspects of pharmacoepidemiological studies
  • Participates in development and/or coordination across multiple networks of new methods for extracting, coding, and using data for multi-site studies
  • Participates in the review and implementation of PCORnet queries, including initial assessment of feasibility, data coordination, data analysis and reporting activities for PCORnet studies
  • Coordinates data model and analytic activities with other national research initiatives and standards bodies
  • Leads data operations activities, utilizing prior knowledge of health informatics standards and tools as well as patient privacy (e.g., HIPAA), security (e.g., FISMA), and research (e.g., IRB) requirements related to observational and clinical research
  • Prepares summary reports and presentations, including peer-reviewed publications
  • Oversees operation and expansion of the PCORnet Distributed Research Network secure infrastructure
  • Coordinates meetings of collaborators and provides interim written summaries of results for discussion by DPM investigators and collaborators
  • Assists with project management tasks, including coordination of team meetings and communication with external collaborators

Minimum Requirements:

  • Master’s degree or PhD in Health Services Research, Health Economics, Epidemiology, Public Health, Health Informatics, or similar field
  • At least 10 years of relevant experience working on multi-site research projects using administrative claims databases or electronic health record data
  • Experience applying advanced pharmacoepidemiologic methods, such as propensity score-based approaches, is desired
  • Three to five years of research in a health care research, industry, consulting, or academic environment
  • Ability to develop and implement standard operating procedures for project development, tracking, documentation
  • Supervisory experience
  • Prior knowledge and use of varied data systems (e.g., claims data, electronic health records, registries) for observational and/or clinical research
  • Sound knowledge of research methods specific to epidemiology
  • Experience with observational research with distributed research networks a plus
  • Strong written and oral communication skills
  • Ability to operate independently with excellent judgment
  • Ability to oversee multiple projects simultaneously
  • Ability to analyze data and report data findings
  • Ability to meet deadlines and work within budgets

Harvard Pilgrim Health Care (HPHC) does not accept unsolicited Agency resumes. HPHC will not pay fees to any third party agency or firm that does not have a signed “Employment Agency Agreement” already on file with Human Resources – The Office of Talent Acquisition.

We are an equal opportunity employer.   We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.   The EEO is the Law poster is available here.

Internal Job Title:

Research Associate

Tracking Code:

291455-561

Job Location:

Boston, Massachusetts, United States

Job Type:

Full-Time/Regular

Job Description:

Are you looking for a place to work where the people genuinely care about shaping the future of health care? Do you want to work with people who are committed to and passionate about helping others live better, healthier lives – at a place where your coworkers are dedicated to innovative research and teaching?   If so, the Department of Population Medicine at the Harvard Pilgrim Health Care Institute (HPHCI) is the place for you. HPHCI is a collaboration between Harvard Medical School and Harvard Pilgrim Health Care and is the only appointing medical school department in the United States based in a health plan.  As part of our Department of Population Medicine team, you will have the opportunity to be a part of this growing industry, which includes many different disciplines, such as Therapeutics and Infectious Disease, Obesity, Aging, Cancer and Pediatrics.   Come join our team!

The Research Associate will work with the Therapeutics Research and Infectious Disease Epidemiology group (TIDE) within the Department of Population Medicine (DPM). The TIDE group manages complex, national, multi-institutional research initiatives that utilize claims data, electronic health data (EHR), and patient reported data. The Research Associate will perform a variety of tasks to support the National Patient-Centered Clinical Research Network (PCORnet,www.pcornet.org), an innovative national network funded by PCORI and coordinated at the Department of Population Medicine and Duke Clinical Research Institute. PCORnet is designed to enhance the nation’s ability to conduct patient-centered comparative effectiveness research. The Research Associate will support the analytic and observational research related activities for PCORnet, including but not limited to technical requirements preparation, SAS data management and formal report preparation for PCORnet research studies and the distributed research network operations center (DRN OC). This position requires high-level communication skills and close collaboration with investigators, project managers and other research associates/analysts, both within Harvard Pilgrim Health Care Institute (HPHCI) and externally.

Duties and Responsibilities:

  • Provide technical, epidemiological input on technical specifications for observational research requests
  • Provide technical, informatics input on distributed research network (DRN) use for preparatory-to-research and observational studies
  • Participate in study design, data coordination, data analysis and reporting
  • Prepare summary reports and presentations
  • Participate in regular project meetings
  • Assist with the review of distributed SAS programs, output and log files
  • Assist with project management tasks, including coordination of team meetings and communication with external collaborators 

Minimum Requirements:

  • Master’s degree in Epidemiology, Public Health, Bio statistics, Health Informatics, or similar field preferred
  • Exposure to varied data systems (e.g., claims data, electronic health records, registries)
  • At least 3 years of relevant experience in a research environment
  • Sound knowledge of research methods specific to epidemiology
  • Sound knowledge of Microsoft Office applications, especially Word, PowerPoint, and Excel
  • Ability to analyze data and report data findings
  • Strong written and oral communication skills
  • Ability to act independently and with good judgment
  • Ability to meet deadlines and work within budgets
  • Sound knowledge of health informatics, health services research, epidemiology, statistical software (SAS, SQL, R, etc.), and distributed research networks a plus

Organizational relationships/scope:

The Research Associate reports to a TIDE Senior Research Associate. S/he will interact with study investigators and staff within HPHC and collaborating institutions.

Harvard Pilgrim Health Care (HPHC) does not accept unsolicited Agency resumes. HPHC will not pay fees to any third party agency or firm that does not have a signed “Employment Agency Agreement” already on file with Human Resources – The Office of Talent Acquisition.

We are an equal opportunity employer.   We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.   The EEO is the Law poster is available here.

Internal Job Title:

Research Assistant

Tracking Code:

291454-561

Job Location:

Boston, Massachusetts, United States

Job Type:

Full-Time/Regular

Apply online at: www.harvardpilgrim.org/careers

Are you looking for a place to work where the people genuinely care about shaping the future of health care? Do you want to work with people who are committed to and passionate about helping others live better, healthier lives – at a place where your coworkers are dedicated to innovative research and teaching?   If so, the Department of Population Medicine at the Harvard Pilgrim Health Care Institute (HPHCI) is the place for you. HPHCI is a collaboration between Harvard Medical School and Harvard Pilgrim Health Care and is the only appointing medical school department in the United States based in a health plan.  As part of our Department of Population Medicine team, you will have the opportunity to be a part of this growing industry, which includes many different disciplines, such as Therapeutics and Infectious Disease, Obesity, Aging, Cancer and Pediatrics.   Come join our team!

The part-time Research Assistant will provide support for a study being conducted by the Department of Population Medicine/Harvard Pilgrim Health Care Institute. The study is about how insured individuals access their insurance benefits and access treatments for their conditions in the context of patient cost-sharing requirements. The work will consist of in-depth interviews with persons living with bipolar disorder and family caretakers of persons living with bipolar disorder. The Research Assistant will schedule and conduct interviews, assist with coding and analysis of qualitative data, and provide general assistance to the interview project.

Duties and Responsibilities:

  • Contact the interview respondents, who will have been already recruited as volunteers, and schedule telephone interviews.
  • Obtain oral informed consent.
  • Conduct hour-long interviews by telephone, following a semi-structured interview guide. (Approx. 50-60 interviews total.)
  • Capture an audio-recording of each interview using a digital voice recorder.
  • Write brief summary notes from each interview.
  • Perform data entry and tracking.
  • Maintain secure storage of audio files and facilitate their transfer to the transcription service vendor.
  • Review the returned interview transcripts for errors.
  • Conduct coding and cleaning of data from interviews using specialized software.
  • Assist with analysis of qualitative data collected from interviews.
  • Assist with manuscript preparation.
  • Attend meetings with study team.
  • Other administrative duties as necessary to support the interview project.

Minimum Requirements:

  • Bachelor’s degree required; related experience in a health care, research, or educational environment required.
  • Experience working with populations that live with serious mental illness will be preferred.
  • Strong interpersonal and written communication skills.
  • Excellent organizational skills, attention to detail, and ability to operate independently and with good judgment.
  • Familiarity and proficiency with computer systems, including word processing, database, and spreadsheet software.
  • Ability to handle confidential and sensitive information discreetly.
  • Familiarity with research methods, study design, qualitative data, and evaluation.
  • Familiarity with and ability to learn more about health insurance design and health care financing.

Organizational relationships/scope:

The Research Assistant reports to the Grants Administrator for the DPRG group. The Research Assistant will interact with project investigators, project staff, staff from collaborating organizations, and study subjects.

Harvard Pilgrim Health Care (HPHC) does not accept unsolicited Agency resumes. HPHC will not pay fees to any third party agency or firm that does not have a signed “Employment Agency Agreement” already on file with Human Resources – The Office of Talent Acquisition.

We are an equal opportunity employer.   We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.   The EEO is the Law poster is available here.

Latania Lafontant

Human Resources Associate

HR  Department

1600 Crown Colony Drive  ∙ Quincy, Ma ∙ 02169

Office: 617-509-7835  Fax: 617-509-1135

Latania_Lafontant1@harvardpilgrim.org  

www.harvardpilgrim.org

Harvard Pilgrim Health Care Institute (HPHCI) is looking for a Sr. SAS Programmer. Go to here to check out the detail.

Apply online at: www.harvardpilgrim.org/careers
Internal Job Title:
Sr. SAS Programmer Sr. SAS Programmer
Tracking Code:
291364-561
Job Location:
Boston, Massachusetts, United States
Job Type:
Full-Time/Regular
Job Description:
The Senior SAS Programmer manages, coordinates and performs analytic programming-related activities
for pharmacoepidemiological studies under the Mini-Sentinel pilot. Mini-Sentinel is a pilot project
sponsored by the U.S. Food and Drug Administration (FDA) to create an active surveillance system – the
Sentinel System – to monitor the safety of FDA-regulated medical products. Mini-Sentinel uses
administrative and electronic healthcare data from multiple collaborating and partner institutions around
the country. Please see our public website for additional information: http://www.mini-sentinel.org/.
The Senior SAS Programmer determines appropriate analytic design approaches to research projects
and writes SAS programs that are flexible, reusable, scalable, computationally efficient and easily
maintainable. These research projects require high-level communication skills for close collaboration with
investigators, project managers and other programmer/analysts, both within Harvard Pilgrim Health Care
Institute (HPHCI) and with external institutions.
Duties and Responsibilities:
 Support analytic and statistical programming activities in the production of analysis datasets and
custom analytics.
 Design, code, test and execute SAS programs in an administrative healthcare distributed data
network environment.
 Manage, perform and document quality control (QC) testing of SAS programs, in accordance with
internal standard operating procedures (SOPs) and guidelines.
 Collaborate with investigators from external institutions on the review, design and implementation
of analytic methods.
 Support the training and mentoring of junior programmers.
 Use good judgment and practice in working with highly confidential information. Follow all
applicable privacy and confidentiality procedures in daily work.
Minimum Requirements:
 MA/MS in related field (e.g., statistics, quantitative social sciences, public health, epidemiology)
 Minimum 5 years of SAS programming experience using study designs and statistical methods
that address bias and confounding in observational data (e.g., self-controlled designs, propensity
score methods, survival analyses)
 Prior experience analyzing large administrative healthcare data a must (Medicare/Medicaid, other
claims-based or electronic medical records databases)
 Experience with medical coding systems (e.g., NDC, ICD-9, HCPCS/CPT, SNOMED CT,
LOINC), basic medical terminology and epidemiologic principles a must
 Experience with other data management and analysis software packages (e.g., R, SQL, Stata,
etc.) or other programming languages (Java, VB/VBA) a plus
 Demonstrated ability and willingness to learn new technical tools and software applications, and
work with variety of data and data sources
 Excellent written and oral communication skills
 Ability to work independently and as a team member
 Strong organizational and problem solving skills.
Harvard Pilgrim Health Care (HPHC) does not accept unsolicited Agency resumes. HPHC will not pay
fees to any third party agency or firm that does not have a signed “Employment Agency Agreement”
already on file with Human Resources – The Office of Talent Acquisition.
We are an equal opportunity employer. We evaluate qualified applicants without regard to race, color,
religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any
other protected characteristic. The EEO is the Law poster is available here.

If you have questions, please contact:

Latania Lafontant
Human Resources Associate
HR  Department

1600 Crown Colony Drive  ∙ Quincy, Ma ∙ 02169
Office: 617-509-7835  Fax:617-509-1135
Latania_Lafontant1@harvardpilgrim.org

 

100Kin10 is looking for a talented data analyst to provide technical assistance and expertise for new survey results about STEM teaching. As background, 100Kin10 recently distributed the second annual R&D Shared Measures survey, which aggregates deep and comparable data from ~150 different best-in-class partner organizations about their work with STEM teachers, across six stages of a teacher’s professional life cycle (from recruitment to advancement). This is a unique opportunity for anyone seeking a meaningful opportunity to bring deep data skills and education-sector experience to bear on an innovative and field-leading social-sector project. The right person will have significant background in cleaning, managing, and analyzing data. In addition to a technical guru, we’re looking for someone who is a sharp analytical thinker, naturally curious, and passionate about finding meaning in data. Preferably based in NYC, with some flexibility for the right fit. Mid-July start date for four-week project (with possibility to extend). Graduate students with both classroom and real-world data experience are strongly encouraged to apply; education background is a plus. Please email a resume to Grace Clawater Doramus at grace@100Kin10.org. (No cover letter required.)

Tim Hunter is a Principal Software Developer in the ODR (Output Delivery and Reporting) group at SAS. Tim is celebrating his 32nd anniversary at SAS this year. Prior to joining ODR in 2002, Tim worked in both the CMS and MVS Host groups, the SAS I/O group, the Publications division. As part of Language Systems Division from 1987 to 1995 he participated in the creation of the SAS/C compiler. Tim is a graduate of North Carolina State University.

Phil Gibbs is the manager of the Advanced Analytics group in SAS Technical Support.  Phil has been with the Technical Support organization for 22 years.  His areas of expertise are linear and nonlinear modelling, optimization, and statistical computing.

Time:

Thursday, July 16 2015 12:30 – 3:30 p.m.

Location:

Collis 101

Collis Center for Student Involvement (on Google Map) 

6181 Collis Ctr

Dartmouth College

Hanover, NH 03755

**Visitor Parking Permit (Download temporary permit here& Dartmouth Campus Maps

Agenda:

12:30 – 1:00p.m.: Registration & Reception (Lunch will be provided)

1:00 – 2:00p.m.: Phil Gibbs, Analyzing Multilevel Models with the GLIMMIX Procedure

2:00 – 2:15p.m.: Break

2:15 – 3:15 p.m. : Tim Hunter, First Look at the ODS Destination for PowerPoint

3:15 – 3:30 p.m. : Wrap-Up, Raffle off Prizes

** You are welcome to make brief announcements about job opportunities in your departments or organizations before the presentations, during the break , or after the presentations.

 

Harvard Pilgrim Health Care Institute (HPHCI) is looking for a Masters Level Biostatistician. Go to https://harvardpilgrim.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=291309&company_id=15561&version=1&source=ONLINE&JobOwner=1015990&startflag=1 to check out the detail.

The Department of Population Medicine (DPM) resides within the Harvard Pilgrim Health Care Institute (HPHCI), and is an appointing department of Harvard Medical School.  DPM does the research that helps provide information to people at all levels of our health care system, from government health officials to private citizens faced with day-to-day choices about how to maintain their own health. We inform policy makers who make decisions about insurance coverage, and individual clinicians and patients who need reliable evidence about what treatments and medications work best for specific conditions. Here at DPM we work to create a base of knowledge that will enrich both health care systems and the quality of medical education.

SUMMARY OF POSITION:

The Biostatistician will provide statistical support for faculty biostatisticians in the DPM Biostatistics Center. S/he will work with the faculty biostatisticians on statistical methods development and evaluation projects, data analyses, results summary and interpretation, and manuscript/report preparation using a variety of statistical methodologies and statistical software packages.

ESSENTIAL FUNCTIONS:

  • Write statistical algorithms, with guidance from faculty biostatisticians, for methods development and evaluation projects
  • Perform data analysis, with guidance from faculty biostatisticians, using a variety of statistical models.
  • Take primary responsibility for summarizing results.
  • Assist faculty biostatisticians with statistics-related work and consultation.
  • Assist faculty biostatisticians with preparing reports on statistical work for project deliverables and professional conferences.

MINIMUM REQUIREMENTS:

Master’s Degree in biostatistics, statistics, or a related quantitative field.

  • Proficiency in SAS statistical software including SAS Macro, SAS/STAT, SAS/Graph.
  • Interest in and experience with statistical methods development
  • Knowledge and experience with state-of-the-art statistical methodology and analysis such as propensity score models, mixed effects models, etc.
  • Excellent written and interpersonal communication skills
  • Ability to work independently and with minimal guidance on simultaneous projects
  • Knowledge and experience with other statistical software such as R and Stata a plus.
  • Experience with and interest in manuscript writing and preparation a plus
  • Relevant experience in a health care, academic, or research environment preferred.

 ORGANIZATIONAL RELATIONSHIPS/SCOPE:

Report to faculty biostatisticians.  Also has extensive contact with DPM faculty, project coordinators, and outside collaborators.

WORKING CONDITIONS:

Normal working conditions apply.

COMPENSATION
Competitive salary and benefits.  HPHCI sponsors work visa (H1B).

To APPLY

For full consideration, please

DISCLAIMER:

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees.

 

ABSG Consulting Inc. (ABS Consulting) is looking for a Senior Data Analyst. Go to http://www.abscareers.org/job-search.html and search “SAS” to see it.

Position Description:

Title: Senior Data Analyst

Education: BA/BS degree in a related field required; MA/MS with consulting experience preferred.

Clearance Requirement: Must be able to obtain a SECRET security clearance.

Job Location: Metro Washington, DC area.

General Skills and Experience: The successful candidate shall have a minimum of 10 years of professional experience and demonstrated analytic experience with mathematics, statistics, econometrics, modeling or analytic data analysis procedures. Candidates should be proficient with Microsoft Office (Excel, Word and PowerPoint) and should have strong communication and interpersonal skills. In particular candidates should be familiar with the SAS system and should possess strong data step programming experience. Expertise with SAS MACROs, mainframe SAS and techniques for handling large volume data is especially desired.

Duties: The successful candidate:

  • Applies extensive knowledge and experience to obtain, integrate and report client data; develops and applies analytic methodologies and principles. Leads the application of analytic techniques and helps define project objectives and strategic direction. Resolves complex problems, which require an in-depth knowledge of analytic methodologies and principles.
  • Analyzes acquisition data, formulates conclusions and recommendations, designs and develops materials, and evaluates effectiveness in accordance with stated guidelines, specifications, and models. Conducts research, data gathering, and technical reviews. Produces written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities. Troubleshoot issues in reports related to data. Assimilates, integrates, and interfaces technical knowledge with business / systems requirements.

Salary: $75,000 – $85,000, with comprehensive benefits.

Special Requirements: Due to the security clearance requirements of this position, only applications from U.S. Citizens can be accepted.

About ABS Consulting: Headquartered in Houston, Texas, ABSG Consulting Inc. (ABS Consulting) is a subsidiary of ABS Group of Companies, Inc. (ABS Group) and an affiliate of ABS, one of the world’s leading Marine and Offshore classification societies founded in 1862.

ABS has more than 2,200 employees who assist customers every day from offices located throughout the world with our major operating centers in the US, UK, Middle East, Asia-Pacific and Latin America. ABS Consulting has long been a pioneer in the areas of probabilistic risk assessment, process safety management and hazard modeling. We apply this expertise to create practical solutions to clients operating in high technical and regulated industries.

Inquiries: All inquiries should be directed to James C. Hendrickson at:

Email: jhendrickson@absconsulting.com

Phone: 703-351-3722

ABSG Consulting Inc. (ABS Consulting) is looking for a Junior SAS Consultant. Go to http://www.abscareers.org/job-search.html and search “SAS” to see it.

Position Description:

Title: Junior SAS Consultant

Required Education: BS degree in a related field

Clearance Requirement:  Must be able to obtain a SECRET security clearance

Job location: Metro Washington, DC area.

General Experience: Successful candidates shall have approximately of 1-2 years of professional experience and demonstrated analytic experience with mathematics, statistics, econometrics, modeling or analytic data analysis procedures.  Candidates should be proficient with Microsoft Office (Excel, Word and Powerpoint) and should have strong communication and interpersonal skills.  Successful candidates should know SAS and be easy to get along with.

Salary: $45,000 – $50,000 with comprehensive benefits.

Special requirements: Applicants must be U.S. Citizens and eligible for a U.S. Security clearance.

Headquartered in Houston, Texas, ABSG Consulting Inc. (ABS Consulting) is a subsidiary of ABS Group of Companies, Inc. (ABS Group) and an affiliate of ABS, one of the world’s leading Marine and Offshore classification societies founded in 1862.

ABS has more than 2,200 employees who assist customers every day from offices located throughout the world with our major operating centers in the US, UK, Middle East, Asia-Pacific and Latin America.  ABS Consulting has long been a pioneer in the areas of probabilistic risk assessment, process safety management and hazard modeling. We apply this expertise to create practical solutions to clients operating in high technical and regulated industries.

All inquiries should be directed to James C. Hendrickson at:

jhendrickson@absconsulting.com

571-481-7883

T Winand is a computer software professional and analyst with 24 years’ experience in program design and development, data management, statistical analysis and reporting.  T has fifteen years of programming, statistical analysis and modeling experience with SAS – fourteen of those years as a Systems Engineer, Senior Systems Engineer and Technical Account Manager at SAS.  For the majority of his time at SAS, T has focused his efforts on helping organizations achieve value and growth through the effective use of analytics: statistical analysis, descriptive and predictive data mining, text mining, forecasting, and model management.  While at SAS, T has worked with leading organizations across many different industries but has spent seven years working exclusively with Health and Life Sciences organizations.  In addition, T has complementary expertise with SAS capabilities that support the complete analytical lifecycle: data integration & management, data exploration, operationalization, and business intelligence.  Finally, in recent years, T has helped several large organizations modernize their SAS architectures to achieve greater speed, flexibility and scale, to improve processes and utilization of resources, and, ultimately, to improve value.  T graduated from Cornell University and has an MBA from Kellogg, Northwestern University.

Time:

Friday, Jan. 30 2015 2:00 – 5:00 p.m.

Location:

Rockefeller Class of 1930 Room

The Nelson A. Rockefeller Center (on Google Map) 

Dartmouth College

2 Webster Avenue

Hanover, NH 03755

**Visitor Parking Permit (please print it out and put it on your windshield before you leave your vehicle!) & Dartmouth Campus Maps

Speaker:

T. Winand (Nickname “T.”) used to be a member of DASUG (when it was called TDIASUG) and lives in the area.

T. will give the following two presentations:

PDF for “Macro” & SAS Code for “Macro”

PDF for “Optimization”

Agenda:

2:00 – 2:15: Reception (light food, snack and beverage will be provided)

2:15 – 2:30: Briefing and introducing the speaker

2:30 – 3:30: Introduction to the SAS Macro Facility

3:30 – 3:40: Break

3:40 – 4:40: The Top 10 Ways to Optimize Your SAS Code

4:40 – 5:00: Q & A and networking

** You are welcome to make brief announcements about job opportunities in your departments or organizations before the presentations, during the break , or after the presentations.

** Post-meeting survey

Friday, Jan. 31 2014 1:30 – 4 p.m.

Dartmouth College
35 Centerra Parkway
3rd Floor Conference Room
Lebanon, NH 03766

Phil Gibbs manages the Advanced Analytics group in SAS Technical Support. His areas of specialty are linear/nonlinear mixed models, simulation and mathematical optimization.

Gibbs will give two presentations:

  • Computing Direct and Indirect Standardized Rates and Risks with the STDRATE Procedure
  • Having an EFFECT: More General Linear Modeling and Analysis with the New EFFECT Statement in SAS/STAT® Software

Presentation Paper