Summary:
In this role we are looking for individuals with a quantitative science background (statistics, data science, computer science, mathematics, or similar), database and programming expertise, and a passion for drug development
Responsibilities:
• Build machine learning and other statistical models, as well as support their implementation and deployment through a good understanding of the Software Development Life Cycle
• Perform data analyses in a wide range of data and analytics solutions, from descriptive to predictive, using advanced statistical and machine learning models
• Leverage large data sets to conduct end-to-end analytics that will include data gathering, requirements specifications, processing, analytics, ongoing deliverables, and presentations
• Collaborate with cross-functional colleagues (e.g., clinical scientists, safety scientists, study statisticians, programmers), and work closely with subject matter experts to deliver value by developing Client, practical, scientific data-driven solutions to meet business needs and to develop data visualization, statistical modeling, machine learning/predictive modeling algorithm in R to address scientific questions in development
Top 3 Must Have Skill Sets:
• SAS
• Excellent R computing, modeling, and visualization skills
• Experience working with multiple languages in the Shiny environment (for example. JavaScript, CSS, Python, VBA, etc.)
Basic Qualifications:
• Doctoral degree (statistics, data science, computer science, mathematics or similar) and 2 years of quantitative science experience OR
• Masters degree and 6 years quantitative science experience OR
• Bachelors degree and 8 years quantitative science experience OR
• Associate degree and 10 years quantitative science experience OR
• High school diploma / GED and 12 years of quantitative science experience
• Proficient in R programming language and Shiny app development
• Proficient in SAS programming language
• Good understanding of clinical trials and clinical data
Preferred Qualifications:
• Doctoral degree or masters degree with relevant experience
• 4 or more years of pharmaceutical/biotech experience in drug development
• Proven project leadership experience
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee
