Sr Research Analyst - Wellpoint (Wilmington, DE)

HealthCore, Inc., a health services research firm headquartered in Wilmington, DE, is seeking a Research Analyst or Senior Research Analyst with experience in epidemiology and biostatistics to join our dynamic company. Founded in 1996, and now an independently-operating subsidiary of WellPoint, Inc., HealthCore provides the health care system, biopharmaceutical industry, academia, and the Federal Government with "real-world" data to improve the quality, safety, and affordability of healthcare. HealthCores projects range from retrospective to large-scale, prospective studies in the areas of drug, vaccine, and medical device safety surveillance, risk management, pharmacoepidemiology, health outcomes, pharmaeconomics, and comparative effectiveness research. We are currently seeking a Research Analyst or Senior Research Analyst for the Safety and Epidemiology Service Team to work in our Wilmington, DE or Andover, MA or new in autumn in Washington DC area.. The Research Analyst or Senior Research Analyst will collaborate with the research team, including clinicians, epidemiologists, biostatisticians, programmers, and others to conduct safety and risk management research projects for the pharmaceutical, biotech and device manufacturers line of business. Responsibilities vary with the positions and include:

• Performing safety surveillance, risk management, and pharmacoepidemiology research activities under the direction of senior staff;
• Supporting research activities in statistical analyses, statistical expertise, reporting and communication of results;
• Contributing to the development of proposals, protocols, and statistical analysis plans;
• Conducting review of administrative claims data and statistical output to ensure accuracy of results;
• Performing project management, with a focus on timeline and budget adherence;
• Mentoring Research Analysts on service team.

Qualifications This position requires a masters or doctoral level degree or relevant education and/or equivalent training in health services research, epidemiology, biostatistics, or a related field. Experience with advanced statistical techniques, such as propensity score matching, marginal structural models, spatial analysis, survival analysis, and/or signal detection techniques preferred. Strong study design, analytic skills, and proficiency in programming with one or more statistical applications (SAS, Stata) are required. Experience with health plan administrative databases (pharmacy and medical claims) is a plus. In addition to a dynamic work environment, HealthCore offers...

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Manager, Program Management Statistical Analysis - Asurion (Nashville, TN)

This role will lead the detailed statistical analysis of subscriber claims behavior. The insight from this analysis will be used to drive decisions on pricing, program design and financial planning. In order to do this, the position will create and statistically analyze large data sets of internal and external data and communicate the results across the organization in a way that drives the organization to action.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Develop analytic programming and manipulate and analyze large datasets using advanced statistical software packages and advanced analytic features of Access and Excel
• Work across various business units to build large-scale, multi-variable databases
• Identify statistical analysis techniques (e.g. cluster analysis, time series, multi-variable regression, etc.) required to deliver insight on key strategic questions
• Support interpretation of statistical data in order to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research. Report results of statistical analyses in the form of graphs, charts, and tables.
• Summarize written findings, publicize results, and participate and share with senior leadership as appropriate
• Advance the use of complex analytical techniques and statistical thinking across Program Management
• Execute project plans/ timelines, identify resource requirements and manage project to deliver high quality output
• Own and optimize existing statistical models (e.g., incidence rate forecast) to drive meaningful increases in program profitability
• Serve as an active participant on cross-functional project teams and provide guidance and training to teams in asking appropriate questions, interpreting data, and translating into action
• Anticipate data and information needs and integrate into operational programs/plans.
• Provide leadership in the identification and description of data elements and data files/tables required to complete assigned projects and make recommendations regarding the creation of analytical reports to achieve client, program, and business objectives

PROFESSIONAL COMPENTENCIES:

• Strong quantitative and analytical skills
• Demonstrated ability to build complex statistical models needed to understand issues at a detail level and forecast impacts of change
• Ability to communicate complex statistical concepts and output to non-experts in both a written and verbal manner
• Exceptional business insight and strategic orientation
• Critical thinking skills in formulating hypotheses, interpreting results, and being able to make educated guesses when data may be sparse or unavailable
• Intellectual curiosity and ability to handle high levels of ambiguity
• Ability to work under pressure and within tight deadlines
• Ability to anticipate problems and opportunities and the initiative to pursue solutions
• Attention to detail

QUALIFICATIONS

EDUCATION AND EXPERIENCE:

A Bachelor’s Degree in a mathematical field such as Statistics, Operations Research, Actuarial Science or Applied Mathematics is required for this position. A Masters Degree or PhD is preferred. It is also required to have 3 to 7 years of related experiences.

TECHNICAL SKILLS:...

http://www.datashaping.com/jobs18426x.shtml

Lead SAS Analyst, Credit/Fraud & ScoreCard (Telecommute, US)

Headquartered in Wichita Kansas, Client is a rapidly growing provider of consumer financial services. Since opening their first store in 1997 in Riverside, California, they have successfully expanded to nine states and eighty-two retail locations. Client is currently the leading small short term lender in the brick and mortar store market place in terms of top line revenue and bottom line profitability. In the last 12 months Client has also developed and is rapidly expanding an online loan businesses with intentions of achieving superior market share in this space in the next 24 months.

This role will assist the Director Analyst developing, implementing and monitoring loan approval models that will result in increased acceptance rates and lower default rates of our various consumer loan products. The objective of the role will ensure development, implementation, monitoring of client’s credit risk strategies to help manage and grow the loan portfolio by optimizing values of each loan application and customer. The business operates in “test and learn” culture, where for each of our key credit risk decisions you will assist the new Director Analyst to help develop challenger strategies, rolling out successful strategies to champion status, pulling unsuccessful ones quickly and helping develop new challengers.

To help realize the client’s objectives, this Lead Analyst role will have a vital part to play. The role will be challenging on the Credit side of scorecard development, but also, rewarding from being mentored by the Director Analyst to fully support deliverables to individual business units’ Risk Data Management teams, with the aim to make all risks transparent and understood. Various responsibilities starting in Business and Finance and ending in Information Technology. Assist in the Start Up, Launch, and, Enhancements of new product development to meet loan regulatory and compliance requirements for new Internet Lending Practice. Web originated loan underwriting will be an eLoan / Web 2.0 consumer lending product. Work extensively with client’s Lead Credit Analyst, to assist in their own critical Credit ScoreCard development - From Chief Internet Officer’s desk : ...

http://www.datashaping.com/jobs18434x.shtml

Systems Engineer Analytics, SAS, S+, R, SPSS (Boston, MA)

Provide pre-sales technical expertise and product knowledge in the area of advanced analytics (products including SAS, R, SPSS, S+, and others) to assist sales efforts and partnering activities.

Responsibilities:

• Specialist would support field sales in engagements where advanced analytics will be utilized or is a key to the sales cycle. Also would provide corporate based resources with hands-on knowledge of customer requirements and current technology trends.
• Work with various account teams to provide technical sales support in sales/product presentations, product positioning, product demonstration, and implementation. Serve as the corporate product specialist and functional
• Expert for a wide range of analytic tools that interoperate with our product. Build proof-of-concept analytic applications based on customer requirements to demonstrate feasibility of the application, often requiring rapid prototyping. Provide advanced analytics product evaluation support, product installation, application prototyping and benchmarks, often times in conjunction with a technology partner.

Skills:

• Excellent communication skills and ability to speak to technical and business stakeholders and users
• Solid understanding of support/sales/account management workflow
• Detail-oriented; passion for getting involved with many different products, as well as understanding their form and functionality at a detailed level
• Proven track record of excellent presentation, documentation, and customer interaction skills
• Demonstrated experience in successfully advocating customer needs
• Knowledge of leading-edge statistical and quantitative analytical methods and experience with statistical analysis tools such as SAS, SPSS, S+, and R
• Ability to partner with customers, technology partners, and internal teams to define implementation strategies, review best practices, prototypes, and deliver initial solution implementations
• Experience with parallel database technologies helpful
• Experience implementing advanced analytic applications in a customer and partner environment.

http://www.datashaping.com/jobs18436x.shtml

Statistical SAS Programmer - Gerard Group (Tempe, AZ)

Founded by Ernest Pineda Gerard Group, Inc., is a niche provider of staffing solutions to leading pharmaceutical, biotechnology, finance, banking, marketing and healthcare companies. Gerard locates, qualifies and places highly skilled consultants to its clients on a nationwide basis. The Company provides professionals in biostatistics, statistical programming, data management, drug safety, medical writing, risk analysis, marketing, outcomes research and utilization. Focused on quality and responsive service, the Gerard Group delivers the skilled professionals its clients need to more quickly and efficiently get their products to market. In addition to full time hourly contractors Gerard also provides our clients with candidates on a contract to hire and full time employment basis.

JOB DESCRIPTION

Candidate will provide statistical programming support to clinical trials for regulatory submission. Support Data Management in data set creations/transfers, integrity checks, and quality audits. Support Biostatistics in statistical analysis, including generating data listing, tables, and figures for clinical trials. Develop and maintain the infrastructure for project files of SAS datasets and SAS codes. Act as a liaison between clinical and subcommittees and project teams on an as-needed basis. Requirements

PRIMARY RESPONSIBILITIES:

• Perform or oversee team in performing all SAS programming required for clinical trial analysis and reporting.
• Provide statistical programming expertise for project teams.
• Actively participate in developing the Statistical Analysis Plan.
• Design/develop SAS macros and other utilities to expedite SAS programming activities.
• Generate tables, listings, and graphs per protocol, Statistical Analysis Plan, and/or approved client request.
• Participate in statistical program validation and quality control activities.? Actively participate in study team meetings.
• Interact with other departments, such as Clinical Operations, Project Management, and Data Management to ensure a high level of client satisfaction through successful execution of projects.
• Participate in review process of study documents such as the CRF, edit specifications written by Data Management, and Statistical Analysis Plans.
• Program data cleaning checks, as necessary, to facilitate Data Management’s data cleaning activities.
• Participate in installation/validation of statistical software packages throughout the software development lifecycle.
• Develop and maintain the infrastructure for project files of SAS datasets and SAS codes.
• Mentor entry level statistical programmers.
• Ensure all programming activities and processes performed are conducted according to SDC’s standard procedures and/or sponsor requirements.
• Adhere to all aspects of the SDC’s quality system.
• Comply with SDC’s data integrity & business ethics requirements.
• Perform other related duties incidental to the work described herein.

http://www.datashaping.com/jobs18423x.shtml

Sr Analyst - Precision (Dallas, TX)

Summary: Precision is a growing company providing marketing and sales decision support tools and services to Global 1,000 partners. Customers include HP, Kimberly-Clark, McKesson, Philips, MSC and United Stationers.

Responsibilities:

• Use a variety of methods and tools to deliver meaningful quantitative fact-based models and analyses.
• Manage multiple projects in a flexible, changing environment, including project and timeline management.
• Convert large amount of data and complex models into meaningful, actionable executive-level summaries for internal and external customers.
• Limited travel (

Qualifications:

• Excellent academic record. 4 year undergraduate degree required. 3.50 (out of 4.0) GPA preferred.
• 5+ years full-time work experience with data analysis (financial, statistical, market or database):
• Marketing analytics or consulting experience a plus
• Comprehensive Excel experience required
• SAS, SQL Server or Access experience a plus

http://www.datashaping.com/jobs18421x.shtml