Virginia SAS Users Group

JOB ANNOUNCEMENT
Program Analyst (Data Analysts & Modelers)

The Veterans Health Administration’s (VHA) Office of Compliance & Business
Integrity (CBI) provides internal oversight to VHA’s revenue and Non-VA
health care business operations.

We are recruiting GS-12/13 data analysts and modelers to participate and
manage the design and deployment of our business quality performance
measurement and data analytics programs. The work involves analysis of
health care administrative and financial data, as well as the application
of mathematical, statistical, and operations research methods to health
care business and health commerce operations.

The position(s) are virtual (e.g. telecommuting or working from any VA
hospital or facility within the United States).
The application period closes on June 2, 2011.
Links to internal and external listings on USAJOBS are below.

http://jobview.usajobs.gov/GetJob.aspx?caller=ftva.aspx&OPMControl=2267117

Please share with anyone who might be interested in using advanced data
analytics to improve business integrity within the nation’s largest
integrated health care system: VHA. Thank you very much.

Robert Jacobs, CHC, PMP
National Data Reporting & Performance Metrics
Office of Compliance & Business Integrity
U.S. Department of Veterans Affairs
Tele: (708) 202-8387 x77018

Hello,

I am a technical recruiter with an immediate need to fill three SAS Engineer positions in the northern Virginia/DC area. Please forward this along to anyone you think that might have an interest. Must have active Top Secret clearance. Immediate need. Full time positions. SAS certification not required.

Three openings:

· Senior SAS Engineer

· SAS Engineer

· Associate SAS Engineer

Acceptable degrees include: Operations Research, Applied Mathematics, Engineering, Science, Economics, Management Science, Computer Science, Mathematics, or Statistics.

The SAS® Engineer and Senior Engineer shall have experience working with and analyzing large (millions of records) datasets, applying mathematical and statistical analysis techniques to real-world data, and programming in Base SAS®. The SAS® Engineer shall possess an ability to create complex programs in SAS that require multiple steps ingesting, parsing, transforming, and analyzing data.

The Associate SAS® Engineer shall have experience working with and analyzing large (millions of records) datasets, applying mathematical and statistical analysis techniques to real-world data, and programming in Base SAS®. Possess an ability to create complex programs in SAS that require multiple steps ingesting, parsing, transforming, and analyzing data.

Salary range between the three positions: $90,000-150,000

Thanks for your time.

Regards,

Keith Levene
The Photonics Group
919-572-2292 – office
keith@mri-rtp.com

Managed Care Contract Performance Analyst – Position #00338
Hiring Range: $40,959 – $71,000
Closing Date: September 26, 2011 – 5 pm

This is an exciting opportunity to join the Managed Care team within the Department of Medical Assistance Services – the Virginia Medicaid Agency. We are seeking a dynamic individual who can develop and maintain data gathering and measurement methodologies to ensure that the Medicaid Managed Care Organizations are fully compliant with the Agency’s operational, policy, and contractual requirements. Candidates must have demonstrated experience with the development and utilization of contract performance metrics. Requires extensive knowledge of research methodologies and utilization of clinical outcome data. Must have demonstrated experience with business intelligence and/or statistical tools such as SAS, Oracle, and/or Cognos. Requires demonstrated ability to interact and communicate effectively with program managers and program analysts. Prefer experience in Medicaid, managed care, and/or other health insurance. Other education or experience with finance, HEDIS, health encounter data, legislative processes, and/or health policy analysis is a plus. Please visit http://jobs.virginia.gov for more information or an online application.

Seeking a SAS programmer to support logistics / supply chain research efforts.

Location: Richmond, VA

Key Functions
Participates in initiatives involving logistical research and model development with particular emphasis on Defense Logistics Agency (DLA) wholesale distribution operations. Analysis includes, but is not limited to, data mining for the purposes of research and statistical analyses of logistical processes. Duties include:
* Providing research and data support to subject matter experts.
* Identifying and correcting data quality issues.
* Analyzing various aspects of the logistics / distribution pipeline and supporting data to include performance metrics.

Security Clearance Level.
Applicant must be a U.S. citizen (to get a clearance), be willing to be submitted for a Secret clearance, be eligible for that clearance, and accept the clearance if granted.

Desired Education/Experience
* Experience using SAS or SQL software is required in areas of data mining and/or database development.
* Bachelors degree in Computer Science, Engineering, Economics, Mathematics, Business, or related quantitative area is required. Masters degree is very desirable.

Two Experienced SAS Professional Needed—Contract-to-hire.
High Impact technologies (www.hitactics.com), a SAS Alliance Partner, is seeking two experienced SAS Professionals. The following is a description of the roles and requirements we are seeking. To apply, please send a resume to jwhitehurst@hitactics.com or call Joe Whitehurst at (404) 963-5467
SAS Healthcare Data & Analysis Programmers: This Consultant will help statistically align the clients data to make sure it’s structured properly. This is more of a “traditional” SAS programming role doing data manipulation & analysis, designed to help “inform” the client’s other activities such as their data modeling activities or their use of their BI or reporting layer. This Consultant will help the client better understand their data – what the data mean – what gaps exist in the data based on their requirements – how their data change. They want someone who can “profile” their data – create SAS libraries – perform statistical alignment between the data they have matched against their business requirements (looking for gaps). This role is less predictive analytics in nature and more “data analysis and manipulation” in nature with a strong focus of how the analysis fits into the healthcare IT space. Using Base SAS, EG, a little Graph & maybe some STAT and ACCESS to Teradata, flat files, and maybe SQL Server, the Consultant will generally access healthcare clinical records data, manipulate that data, analyze the data, profile the data and then transform the data via sorting, summarizing, joining and/or merging data, etc.—and then do some level of reporting as well, or structure the data for analysis to be performed by the other analyst role.
Background and Requirements:
The client is brand new to using SAS software. They are just now licensing two (2) PC-desktop copies of Analytics Pro (Base SAS, GRAPH, STAT and EG), with consideration in the future to evaluate server licensing for this as well, with possible evaluation of Enterprise Miner and/or EBI. (The Consultant will use this SAS Analytics Pro bundle to start.)
Recently, the client has been implementing an Informatica and Teradata DW, and now wants to move into applying more analytics to their data, while leveraging for the first time SAS software in doing so. They want to use SAS generally for data manipulation and basic (and future advanced) analytics, and, since they are brand new to using and understanding the value of SAS software, they want the consultants to help them with:
• Building out their usage of SAS;
• Understanding, communicating and educating the client’s staff how SAS could/should be used within their environment. (The client will rely on the Consultants’ experience evaluating customer environments, and then effectively applying appropriate SAS functionality to address specific business issues. The Consultant must demonstrate and apply advanced skills in evaluating and understanding the Client’s business and needs and then applying and communicating the real value of SAS to the organization.);
• Combining SAS programming knowledge with healthcare data knowledge (if known) to work independently and make meaningful conclusions about the client’s business;
• Coordinating, programming, analyzing and evaluating healthcare data using SAS;
• Based on the client’s requests, accessing data, manipulating and analyzing the data via sorting, summarizing, joining and/or merging data, and then creating and delivering insights to business.
• As part of the large Data Warehouse being built in Teradata (and Informatica), they’d like to use SAS to profile clinical records, and perform lots of data manipulation and data transformation, and perform basic analytics of their data so as to learn more about it – using such SAS functionality as DATA step, Frequencies, Sorting, Means and Standard Deviations, and/or SQL programming skills and experiences, along with use of other applicable PROCEDURES, and SAS MACROs.

The goal is to help the client’s create a library of tools and processes from which they can profile data, better understand it, and then convert it to information through understanding its behavior patterns, its stratification, how anomalies are associated with different dimensions of data, and then finally be able to identify where there may be gaps in the data with respect to what the business is asking of the data.
• As part of all this (from a healthcare data standpoint), SAS software will predominantly be used to look at healthcare clinical records data, such as the following:

o EHR (Electronic Health Record) data,
o diagnosis codes (ICD-9 and ICD-10),
o laboratory orders and results data,
o immunizations data,
o drug (NDC) data,
o provider relationships data,
o HEDIS &/or PQRI (Physician Quality Reporting Initiative) initiatives,
o quality measures data,
o CCD (Continuity of Care Document),
o other possible clinical information data, from different subject areas used in the clinical space.

The more exposure the candidate has with this healthcare data and healthcare informatics overall, the better chance they will be selected. However, candidates will absolutely be considered that don’t have this experience.
NOTE: If the consultant does not have this experience, they should be able to quickly put the data into context with the overall healthcare concepts. To some degree, the client is willing to teach the consultant about the healthcare data, but they would prefer some exposure to this healthcare data – the more you have, the better chance of being selected.
(NOTE: CLINICAL SAS programmers or analysts supporting clinical trials and submissions generally do not work with this type of data.)
• Data sources include sample datasets from EHR data in the form of a flat file which is transformed into another DB, so… flat files would be accessed and used. Other data analysis is performed in Teradata, so the data sources will be flat files and Teradata, and occasionally MS SQL Server…., but mostly what’s in the Teradata system. Role #1 (predominantly) will be reading and extracting data from Teradata, and maybe loading data back to Teradata in very low volumes (perhaps in the form of integrated data from a prototype perspective).
• Business rules will be leveraged from within Informatica. Work will be very data oriented.
• The client is in the process of creating their data warehouse infrastructure and processes now (standardizing, cleansing and loading data), but they want the SAS Consultant and SAS software to “help inform” the data transformation and data quality rules within the Teradata physical modeling aspects that they have not done so far.
• SAS may be used for analysis in feeding the data warehouse to make sure they have the correct structure in place, and are identifying what’s not working, and to be used to really understand the data (how it changes – its characteristics).
• As applicable, the Consultant must learn the client’s healthcare data and/or terms and data sources.

The Consultant must be an excellent communicator (both spoken and written forms) and be able to effectively foster interactive collaboration and discussions among the the client;s team. Also, the Consultant must be able to present analysis and conclusions in a logical and clear manner (but not to the senior management level), and must be able to effectively work as part of a team.

Currently seeking a Jr. Level SAS Analyst for a large financial client here in Richmond, VA. Ideal resource should have 2-4 Years experience working with SAS and about 1 Year working with Unix.

Data Analyst

Responsible for the design, development and administration of transactional and analytical data constructs/structures. Included within those responsibilities are the areas of data access and delivery technologies. Includes expertise in data quality, data organization, metadata, and data profiling. May provide technical support on data warehouse teams. Data set sizes are usually huge (in excess of hundreds of millions of records). Demonstrated ability to move from one sequential assignment to the next (work environment and priorities can change quickly depending on business needs).
Demonstrated ability to move data between production systems and across multiple platforms

1-3 years experience with Financial Services clients
Works with general supervision and follows established procedures
30 – 60 days time to be self sufficient

Not required, would be a plus
Common skill sets – Oracle, VB and UNIX 1-3 yrs. Experience
OLAP/SQL Tools 1-3 yrs experience with MVS, Teradata, SAS, Brio or comparable
Ability to deliver technical reports in written and oral form to team lead

Job Title:
Statistical Analyst

Job Type:
Temporary to permanent hire
Organization:
Integrity Management Services, LLC
5911 Kingstowne Village Parkway, Suite 210
Alexandria, VA 22315
http://www.integritym.com

Position Description:
Integrity Management Services, LLC (IMS), a leading health care consulting firm in the Washington D.C. area is seeking a Statistical Analyst with at least 3 years experience, to conduct various health care data analysis projects to help detect patterns of potential fraud and abuse within the health care industry.

Currently, this is a temporary position to assist during a busy season of contract work. This short-term assignment should be available through the summer. However, there is a high possibility of an extension and/or permanent hire. Additionally, we are flexible for those looking for part-time work.
The analyst may provide support for Medicare/Medicaid fraud investigations or hearings, develop and run statistical models in SAS, and participate in ad hoc studies as requested.
The analyst will possess strong analytical skills and able to use statistical software including SAS, SQL, Business Objects, MS Excel, and MS Access. Specifically, the analyst should possess SAS programming knowledge and intermediate level experience with SAS macros, PROC REPORT, SAS/GRAPH procedures, SAS ODS, PROC UNIVERIATE, PROC TTEST, PROC MEANS, and PROC FREQ, SAS/GIS. The analyst should also have experience applying statistical concepts including t-tests and chi-square, to large datasets. The analyst should have experience with analyzing and interpreting data, maintaining and manipulating large datasets, ensuring integrity of the data, performing quality assurance, and formally writing results for submission in final reports. Additionally, the analyst may research specific regulatory and industry information regarding Medicare and Medicaid to support statistical analysis.
Experience and knowledge of health care claims data is preferred (e.g. familiarity with ICD-9 codes, physician specialty codes, pharmaceutical data, provider identifiers, etc.). Current projects involve Medicaid data and Medicare Part A and B data.
The Statistical Analyst will work independently as well as collaboratively with a multidisciplinary team consisting of data analysts, statisticians, DBAs, IT operations staff, regulatory analysts, and various senior subject matter experts. The analyst should be able to effectively communicate with clients.
Qualifications:
Qualified candidates will possess a graduate or doctoral degree (e.g. Public Health, Epidemiology, Biostatistics, Health Policy, Statistics, Economics, Biometrics, etc.) with extensive quantitative methods/statistical coursework, combined with 3 years of data analysis experience within the healthcare industry. Knowledge of advanced data analysis techniques and familiarity with SAS, SQL, or similar programs required. Knowledge of Medicare and/or Medicaid and health care claims data is preferred. Enthusiastic individuals who can work effectively in both a team setting as well as independently is a must!

All candidates MUST pass a background check and drug screening prior to employment. Local candidates preferred.

Organization Description:
Integrity Management Services, LLC (IMS) is a wholly owned subsidiary of Strategic Management Systems, Inc., specializing in assisting government healthcare organizations prevent and detect fraud and abuse in their programs. With a highly professional staff of data analysts, statisticians, medical professionals, auditors, investigators, evaluators, and regulatory analysts, IMS focuses on helping ensure the integrity of healthcare program regulations and policy. Services offered by IMS include:
• Data aggregation and claims analysis
• Regulatory Analysis
• Audits
• Investigations
• Evaluations
• Program compliance, oversight, and review

http://www.integritym.com

Salary:
Temporary Employee. Commensurate with experience. No benefits for the temporary position.

Contact Information:
Interested candidates should email resumes to IMSJobs@strategicm.com.