Research Scientist - Decision Modeling

Freddie Mac; United States; Remote; USD 84,000 - 117,000; Full time

Job summary

Join a forward-thinking organization that thrives on innovative health economic concepts! This role offers an exciting opportunity to work with a passionate team dedicated to Health Economics and Outcome Research. As a Research Scientist, you will collaborate on sophisticated projects, utilizing your expertise in statistical analysis and health policy. With a culture akin to a start-up, you will enjoy the dynamic environment while contributing to impactful research. If you are a self-starter eager to make a difference, this position is perfect for you!

Benefits

Health insurance

Retirement savings benefits

Life insurance

Disability benefits

Parental leave

Paid time off

Qualifications

• 2-5 years of relevant research experience in health economics.
• Proficiency in Microsoft Excel and VBA required.

Responsibilities

• Collaborate on health economic research projects and statistical analysis.
• Conceptualize and program cost-effectiveness models.

Skills

Microsoft Excel

Visual Basic for Applications (VBA)

Statistical programs (SAS, R, Stata)

Oral communication

Written communication

Organizational skills

Time management

Education

Masters' degree

PhD

Tools

SAS

R

Stata

Job description

Are you a self-starter with a passion for projects involving innovative health economic concepts? If you a natural "doer" who enjoys collaborating, moving the ball forward and rolling up your sleeves - keep reading!

Our culture is similar to that of a start-up, but in a well-funded established global portfolio organization. Our team has a real passion and excitement for HEOR and we pride ourselves on being leaders with vision in our field. We are growing and seeking those who are passionate about Health Economics and Outcome Research; researchers who are passionate about the prospect of collaborating with a diverse team of scientists and who look to make a real difference.

Research Scientists collaborate across a broad portfolio of sophisticated health economic and health policy research projects as a member of a project team; and they understand how to create the data foundation needed to provide the statistical analysis framework for projects. In collaboration with the project lead, conduct statistical analysis and modeling procedures, and contribute to interpretation of the results from statistical procedures and models in order to address client's research questions.

Additional day to day activities may include:

• Conceptualize the design of cost-effectiveness and budget impact models
• Programming health economic models in Microsoft Excel
• Collects information efficiently and effectively, including hard to find information, and has a comprehensive knowledge of applicable analytic tools and techniques
• Communication of research projects to internal team and external clients
• Ability to lead individual project tasks or components of large complex studies with oversight from senior staff
• Proactively identifies and defines project risks with recommendations for potential solutions
• Develops written materials with support from project team
• Performs quality assurance and quality control procedures on own and others' programs
• Actively and effectively contributes to internal and client discussions and responds well to coaching, sharing information, and asking for feedback

Qualifications:
Required:

• Masters' degree
• 2-5 years' relevant research experience

Other Required:

• Proficiency with Microsoft Excel and Visual Basic for Applications (VBA)
• Understanding of statistical programs (e.g. SAS, R, Stata)
• Excellent oral and written communication skills
• Ability to work effectively individually and as part of a diverse team
• Exceptional organizational and time management skills

Preferred:

• PhD
• Degree concentration in economics, health services research, epidemiology, biostatistics, public policy, health policy, or public health or related

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Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Reasonable estimate of the current range

$84,000-$117,000 USD

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