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Posting Date: December 12, 2019 Position: Senior Health Data Analyst (SAS)
Location: Telligen - Greenwood Village, CO

We are currently hiring for a Senior Health Data Analyst to join our Telligen Team!

As a Senior Health Data Analyst at Telligen, you will lead the planning, designing and coordinating implementation of optimal analytical reporting methods for specified health care analysis activities and projects. You will be responsible for developing optimal methodologies for presenting the results of the analysis.

The Gig:

You will write or revise statistical software programs using SAS or other statistical software.

You will coordinate technical development, testing, and documentation of the data analysis solution of analytical reporting activities with technical team members and coordinators. May develop and update documents pertaining to system or software and implement relational database design.

You will lead the planning, designing, and coordinating of the analytical reporting methods for health care analysis activities and projects.

You will coordinate the design of analytical reporting methodologies with end users at all levels.

You will perform maintenance and backup functions for database.

You will research and develop optimal methods of presentation of results.

You will ensure information is presented in a professional and understandable manner.

You will stay abreast of statistical technology and reporting methods.

You will direct the evaluation of various software to determine the most appropriate to use in project analysis and makes recommendations to management for improvements.

Serves as a resource and technical expert to clients and less experienced staff.

What you need to make the cut:

Four year degree in mathematics or related field and/or equivalent training and/or experience; Masters degree preferred

3 - 5 years experience in data analysis or design of analytical reports

Demonstrated experience using SAS

Experience in health care analysis and technical writing preferred

Experience with claims data preferred

Why Telligen:

As a 100% employee-owned company, our employee-owners drive our business, our solutions and share in our success. Telligen attracts a highly qualified and diverse workforce who display deep dedication, unwavering integrity and willingness to support the communities in which we serve. We approach our vision to be one of the most sought-after companies to transform the health of populations by following through on our values of Ownership, Community, Ingenuity & Integrity

Competitive pay and benefits.We offer comprehensive benefits including medical, dental, vision, HSA; flex spending accounts, life insurance, disability, 401(k) and an ESOP (Employee Stock Ownership Plan).

100% Employee-Owned We have a culture where Ownership matters!

Life/Work Balance. Generous holiday, volunteer and paid time-off benefits.

Casual Dress. Come in a sweatshirt, jeans, everyone else here.

Free Fruit Friday. You know what they say about an Apple a Day

Giving Garden.Have a green thumb? Over 3,000 pounds of produce donated annually.

Wellness Program. Healthy employee-owners are engaged employee-owners and we are committed to providing many opportunities to motivate you along your well-being journey through our RevUP! wellness program.

Education. Tuition and education assistance & career related CEU's, license and certifications.

Community. Our Telligen Community Initiative has awarded more than $4 million in grant awards since 2005.

Apply online at:


Posting Date: October 28, 2019
Position: Clinical SAS Programmer

Location: CPC Community Health, Aurora, CO

We are looking for an experienced Clinical SAS Programmer to join our team!

The Clinical SAS Programmer is a core member of the Biostatistics & Statistical Programming group. The position is responsible for performing all SAS programming tasks required to support the planning and execution of statistical analysis and reporting of projects and acts as the lead statistical programmer on multiple projects.

The position requires that you have a strong background in the reporting of clinical trial data, using SAS, for use in the pharmaceutical industry and are familiar with the development and conversion of datasets to meet CDISC standards including SDTM and ADaM.

In this position you will:

  • Support high quality and efficient development, validation and execution of SAS programs in accordance with established specifications for drug development and research
  • Support high quality and efficient development, validation and execution of SAS programs in accordance with established specifications for drug development and research
  • Perform ad hoc flexible and rapid programming
  • Contribute to the preparation and review of analysis plans
  • Provide programming input to CRF, SAP, analysis file specifications
  • Establish and maintain a positive relationship with study teams
  • Ensure compliance with GCP, FDA and ICH guidelines and CPC standards
  • Introduce new technologies or procedures to facilitate and optimize functionality
  • Contribute to the creation, maintenance, and validation of macros for standard outputs and programming

Here's what you will need to bring to the table:

  • A degree in a related field (preferred)
  • Minimum of 4 years of experience programming in SAS (v9.0+) in a Windows environment
  • Minimum of 4 years of experience working in the pharmaceutical (preferred), biotechnology industry or other regulated healthcare setting
  • Demonstrable programming experience with SAS macros, ODS, Reporting, Graphics, proc SQL, and Excel
  • Experience with development and conversion of datasets to meet CDISC standards including SDTM and ADaM (preferred)
  • Proficient in creating SDTM and ADaM data and tables, listings and graphs in support of pharmaceutical product development
  • Excellent organizational and team skills
  • Ability to lead the development, validation and execution of SAS programs for high profile studies
  • Attention to detail
  • Demonstrated ability to work in a team environment with clinical team members

Note: Viable applicants will be required to demonstrate their computer skills as well as pass a background and education verification check.

This flexible position requires the employee to spend at least 50% of time in the office. Part-time or full-time status is available to fit your needs.

To apply:


Posting Date: October 21, 2019
Position: Data Scientist

Location: VF Corporation, Denver, CO

Job Description: VF Corporation outfits consumers around the world with its diverse portfolio of iconic lifestyle brands, including Vans®, The North Face®, Timberland® and Dickies®. Founded in 1899, VF is one of the world's largest apparel, footwear and accessories companies with socially and environmentally responsible operations spanning numerous geographies, product categories and distribution channels. We're committed to delivering innovative products to consumers and creating long-term value for our customers and shareholders.

We are a purpose-led company that seeks not only to succeed in business, but also to leverage our success and resources to make the world better. Through our brands and nearly 70,000 associates around the world, we power movements of sustainable and active lifestyles for the betterment of people and our planet. We are movement makers. It's who we are and have always been.

Powerful brands that are fueled by insights and innovation put us at the heart of our consumers's lives. Many of our brands lead their respective categories, and some have risen to iconic status.

While our company and brands are diverse, we work together within a One VF culture to capitalize on our greatest opportunities for long-term performance. Across our company, a collaborative, global mindset differentiates our products and the unique experiences we provide to our consumers. It all adds up to a lasting competitive advantage built on harnessing the power of our differences to achieve great things together, all while positively impacting the lives of hundreds of millions of people and the world.

Become the Newest Member of the VF Family

As the Data Scientist, Retail Analytics at The North Face you and your efforts will provide exceptional leadership in the development and execution of retail analytics to support decision-making across various functions of demand chain- merchandise, assortments planning areas. You are an expert in complex modeling, analytical methodology and have a rich history in excelling in: longitudinal analyses, multi-level modeling, multivariate analyses of variance, hierarchical demand forecasting and more. You will partner with key executives to address information needs and will analyze and synthesize analytics and insights to influence decisions and action planning. This role and your efforts are a key resource needed for business success. Which means, you are a key partner to demand forecasting, assortment optimization, and various other areas to help drive our businesses. Your output and hard work will directly influence our bottom line and data driven decisions.

You have an inherent passion for data and data driven thinking, and can effortlessly extract patterns from volumes of data to drive strategy and operational efficiencies. You can also take that data and tell an easy to understand brand story with actionable items for others.

How You Will Make a Difference:

Support Development of Advanced Analytics practice to develop best in class demand chain- merchandise, assortments planning areas analytics practice for The North Face and drive analytic culture within the brand. Internal Consulting: Perform ongoing analytic projects in support of brand strategies and tactics. Topics will include, but not limited to long term demand forecast, short term replenishment, smart allocation to avoid excess inventory and lost sale opportunities, ROI analysis. Support BI Reporting: In collaboration with wholesale and DTC leadership, support the development of BI dashboarding to highlight KPI across locations and channels. Work will include multi-source data integration and development in BI tool (Cognos, Tableau). Support Process Improvement: Bring industry best practices to analytic processes to create time efficiencies, so team can broaden efforts to other focus areas. Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture Strategy. Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets enabling useful forecast solution. Monitor trends in data science and alternative sources to ensure that The North Face is in tune with best in class tools and techniques.

Skills for Success:

Years of Related Professional Experience: 7+ years

Educational/ Position Requirements:

  • BA/BS in a quantitative field (statistics, operations research, mathematics, computer science, economics, analytics) is required; master's degree in a similar quantitative field from an accredited university is highly desirable.
  • Experience working in the retail/consumer goods/apparel industry a plus.
  • Experience with statistical and predictive modeling in open-source software, such as, R or Python and at least basic familiarity with SAS®, Matlab®, or Stata®
  • Expertise in statistical modeling and analytical methodology including, regression, classification, clustering, variety of predictive modeling, time-series analysis, demand forecasting using SAS forecast server or similar tools to enable hierarchical forecast at Region/store/product level and automation/reporting/visualization.
  • Passion for working with numbers and large datasets.
  • Strong understanding of retail and apparel best practices and trends.
  • Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed.
  • Strong communication skills that can influence team and senior leaders to act in a desired manner through written and verbal communication. Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats.
  • High level of analytical and negotiating skills as evidence by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure.
  • Demonstrates a sense of calmness under periods of uncertainty or change while dealing with stress in a manner that sets the necessary tone for the team and function.
  • High character and integrity, is consistent and acts in line with a clear and visible set of values and beliefs.
  • Global outlook with sensitivity and awareness of social and cultural differences.
  • Special Physical and/or Mental Requirements:

  • Travel by air and overnight, as required 10% amount of time.
  • Lifting and/or bending 5 pounds amount of weight.

  •  To apply:


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