Research Data Scientist

At GDIT, people are our differentiator. Our work depends on a Fraud, Waste and Abuse Data Scientist joining our team to support Centers for Medicare and Medicaid Services anti-fraud activities. As a FWA Data Scientist supporting the Healthcare Fraud Prevention Partnership, you will be trusted to collaborate with Subject Matter Experts and other Data Scientists to create unique fraud detection methodologies within a multi-billion record database made up of a large partnership of public and private healthcare payers. You will be a part of a 12-person team supporting the Trusted Third Party fraud, waste and abuse data analytics.

This is a remote based role; candidates must reside in the US

We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important.

GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day.

We think. We act. We deliver. There is no challenge we can’t turn into opportunity.

In this role, a typical day will include:

• This position is within a multi-disciplinary team of Data Scientists, Business Intelligence Analysts and FWA Subject Matter Experts. Our team is 100% remote and distributed throughout the country.

• The Senior Research Data Scientist will work cross-functionally as a strategic partner to define priorities and develop project roadmaps in synergy with team members

• This position will be responsible for development and study design activities through fast iterations in a multi-payer environment by creating, reviewing, and maintaining statistical analysis plans, providing data interpretation and generating reports in support of proposed research questions.

• The Research Data scientist will conduct in-depth health insurance payer policies to determine coverage and health insurance payers’ vulnerabilities, define detailed data exploration and analytical protocols, and have a strong statistical background to generalize methodologies for broader application across private, state and federal payers

• The Research Data Scientist will provide quality review on statistical analysis and programs plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol, by collaborating with other statisticians and programmers to identify potential data problems from analytic queries and to take appropriate action to guide the resolution process.

• This position requires study design methodology, documenting analyses, creating summaries and presenting written and verbal results for FWA study reports.

• The Research Data Scientist will effectively communicate statistical and data-related concepts to non-statisticians (managers, researchers in other fields, etc.).

• This team member will be called upon to lead or co-lead small project teams as necessary.

REQUIRED QUALIFICATIONS

• Master’s Degree in Statistics or related field.

• 5+ years of experience in statistical and computer-science related field(s).

• 5+ years of experience using SAS software for healthcare Fraud, Waste and Abuse datamining and statistical modeling.

• 5+ years client relation activities, ingesting and synthesizing customer requirements and effectively communicating complex healthcare analytic outcomes to client satisfaction.

• 5+ years expertise in medical terminology and all healthcare coding systems (e.g., ICD-10, CPT, HCPCS, DRG and the like).

• 5+ years of experience datamining for healthcare fraud, waste and abuse in large, multi-payer databases with diverse health care benefit structures and claim processing systems, including private plans (commercial insurance) as well as Federal and State public plans (Medicare and Medicaid).

• 5+ years of experience researching, interpreting and applying payer medical (coverage) policies (e.g., LCDs, NCDs, private carrier medical policies) and common industry claim edits (e.g., NCCI).

• 2+ years of experience using Tableau, with demonstrable experience communicating and visualizing complex healthcare analytic outcomes (candidate may be called upon to show examples from portfolio or submit practicum assignments).

• Demonstrated expertise in the complete Microsoft Office Suite including: Word, Excel, and PowerPoint (candidate may be called upon to show examples from portfolio or submit practicum assignments).

• US Citizen or Permanent Resid

DESIRED QUALIFICATIONS: BA/BS (or equivalent experience), 5+ years of experience

COVID-19 Vaccination Requirement: To protect the health and safety of its employees and to comply with customer requirements, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.

The likely salary range for this position is $77,875 - $130,062, this is not, however, a guarantee of compensation or salary; rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

View information about benefits and our total rewards program.

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.