Overview
We are looking for new talent to join Adelphi Research. We conduct market research, both qualitative and quantitative, and are exclusive to the pharmaceutical space. Through our work, we help provide insights that bring several new drugs to market to fundamentally impact the lives of patients living with a myriad of conditions, including oncology, neuroscience, immunology, diabetes and others. We have worked on some of the latest and most novel drugs that have improved patient quality of life, and more importantly extended it. It is rewarding work and we hope you will consider joining our team!
If you’re looking for a company that strives to create a work environment that encourages and compliments you, you’re curious, a critical thinker able to think outside the box, like challenges and are passionate about what you do, we definitely want to speak with you!
Title: Associate Statistician/Data Scientist
Overall description of role: Working as part of the Advanced Analytics team using a wide range of statistical techniques to analyze, interpret, and visualize results into business recommendations for clients. We value sound analysis, creativity, forward thinking, and team cohesion. We are looking for someone to elevate our visualization offerings by incorporating them into user-friendly web-based applications
Key Responsibilities
- Develop user-friendly interactive tools/applications for project teams or professionally polished for client presentations, with a focus on appropriate outputs to aid in communicating insights
- Complete analysis as requested by research teams
- Input into project design elements for statistical analysis
- Plan and manage own resource levels in co-ordination with data services and research teams
- Awareness of the way analytical outputs are presented to clients and suggest improvements to aid client understanding
- Develop understanding of the advanced analytics team, the different roles and the business processes adhered to
Essential Skills
- BA/BS in relevant field (Statistics, Mathematics, Economics, Computer Science); master’s an advantage
- 2-4 years of experience with coding, data management, research
- Basic/intermediate use of building web-based applications for showcasing data visualization (e.g., Rshiny)
- Experience with data manipulation, wrangling, and significance testing
- Excellent ability to understand and work with numbers (rather than “highly numerate”)
- Ability to work to tight client-driven deadlines
- Collaborating with colleagues with little to no experience with statistical analyses
Desirable Skills
- Experience with multivariate statistics (regression, conjoint and discrete choice methods and segmentation)
- Experience with hierarchical models, Bayesian approaches, and Monte Carlo methods
- Excel, model building in Excel, and VBA programming
- Broad knowledge of statistical techniques
- Familiarity to machine-learning methods a plus
- Experience wire-framing a plus
- Knowledge and advanced use of at least one of the following tools: Sawtooth CBC/HB, Stata, SAS, SPSS, Python
Competencies
- Excellent analytical skills
- Excellent coding skills
- Excellent interpersonal and communication skills
- Ability to work both independently and as part of a team
- Excellent organizational skills
The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.
- $80,000 – $95,000
Omnicom Health Group is committed to hiring and developing exceptional talent. We agree that talent is equally distributed, and we’re focused on developing diverse teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you.