Who We Are:
At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs, but few options.
What We Do:
Neurocrine Biosciences is a neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs, but few options. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, endocrine and psychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, Parkinson's disease, endometriosis* and uterine fibroids*, as well as clinical programs in multiple therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. *in collaboration with AbbVie
About the Role:
Executes programming for high complexity models and statistical analyses, using various modeling/analysis applications to support natural history and disease burden objectives. Conducts quality control checks on project data tables and other outputs; identify issues with programming and recommend solutions. Reports to HEOR teams to discuss project needs and goals. Builds out programming plans for all to be conducted analyses and completes concurrent documentation to support any potential publications that utilize analyzed data. _
Your Contributions (include, but are not limited to):
Designs, develops and implements projects to assist in the creation of disease or product specific evidence to inform commercial strategy, value assessment and market access Highly proficient in data manipulation and statistical analysis using SAS, R, Python or other statistical programs. Works closely with the HEOR program team leads to be responsible for HEOR content Collaborates with internal business partners, to review protocol and support design of observational research, to meet the evidence needs of external consumers Oversee analytical execution to ensure the analyses are conducted with the highest accuracy and quality from other vendors or programmers. Develop knowledge in the covered disease area and identify new data sources, methods, and collaboration opportunities to address business needs Other duties as assigned
Requirements:
MS or MPH degree in health economics, health outcomes, or related field preferred and 2+ years of experience in Pharmaceutical industry experience in a HEOR role with direct research experience preferred; claims analysis, data set analysis and possible economic modeling is highly preferred OR PhD or PharmD degree in health economics, health outcomes, or related field preferred and 1+ years similar experience noted above; or completion of an HEOR 2-year fellowship with a research focus; may include postdoc experience Begins to understand how to think outside of the technical process and consider the impact decisions will have on the broader project goals Ability to work as part of a team Strong computer, communications skills Detail oriented Ability to meet deadlines Strong project management, problem-solving, analytical thinking skills Solid data analytic skills. Will have used large commercial claims and publicly accessible data sets as the foundation of research Strong written communication skills including publication/medical writing experience is required Knowledge in claims analysis, data set analysis and possible economic modeling Ability to analyze and summarize data, think critically, manage projects, influence others, work in a team environment, and synthesize complex clinical and non-clinical statistical and medical information to effectively communicate medical and scientific information Excellent presentation and highly proficient computer skills (e.g., Word, Excel, PowerPoint); and SAS or other statistical programming. Strong knowledge in Pharmaceutical industry Recognizes fundamental anomalies in data points and identifies issues in experiments / processes Strong knowledge of multiple scientific disciplines, scientific principles, methods and techniques Strong knowledge and demonstrated ability working with a variety of research methods
#LI-OB1 Neurocrine Biosciences is an EEO/AA/Disability/Vets employer. We are committed to building a diverse, equitable, and inclusive workplace, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.
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