Data Scientist II

Mindlance; North Chicago (IL); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading health analytics company is seeking a Real-World Data Scientist to drive data-driven insights in drug development. The role involves conceiving and executing research studies using large healthcare data sets and developing innovative analytical methods. The ideal candidate will hold an M.S. or PhD with relevant experience and be well-versed in data programming and analysis. This position allows for full remote work.

Qualifications

• 3-5 years of experience with an M.S., or 2 years with a PhD in a related area.
• Background in life sciences or experience in the pharmaceutical industry preferred.
• Significant programming experience and familiarity with data engineering platforms.

Responsibilities

• Design and implement RWD business technology solutions.
• Resolve project hurdles using available information.
• Drive productivity gains across business areas.

Skills

SAS

SQL

Python

R

Data visualization

Machine learning

Education

M.S. in HEOR/Epidemiology or related area

PhD in related area

Tools

Hadoop

AWS

Git

Job description

Full Remote

Overview

As a Real-World Data (RWD) Scientist, you will be part of a team powering data-driven insights that lead to better, faster decisions and therapies for our patients. Acting as a lead data scientist in your project area, you will contribute RWD expertise to broader cross-functional initiatives. You will drive innovation by implementing new business technology solutions that solve significant scientific or business problems through the use and understanding of complex data. Your role will be to conceive, design and execute analytical components of research studies using sources of Real-World Data including, but not limited to large healthcare administrative databases, electronic medical records, registries and surveys. You will investigate, identify, develop, and optimize new methods, algorithms, and technologies to derive client and competitive insights from disparate data sources.

Major Responsibilities

• Conceive, design and implement new RWD business technology solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data.
• Demonstrate high proficiency across a wide range of technologies related to the integration, visualization, and analysis of large and complex real-world data sets.
• Maintain broad expertise analyzing large real-world data including medical claims data, electronic medical records, survey data, etc.
• Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
• Expand advanced methodology and adopt new technology capabilities such as machine learning, RWE dashboards and visualizations, automation, etc.
• Utilize knowledge of the pharmaceutical and healthcare business in the rapid advancement of agile, impactful, and cost-effective solutions.
• Drive productivity and efficiency gains throughout multiple business areas.
• Act with high autonomy and productivity in performing activities, requiring only minimal direction from or interaction with supervisor.
• Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program.
• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.

Qualifications

• M.S. (Master of Science) with 3-5 years of experience, or PhD with 2 years of experience in HEOR/Epidemiology or related area.
• Background in life sciences or work experience in the pharmaceutical industry preferred.
• Significant programming experience with SAS, SAS Macro, and SQL queries, or other programming for real-world data analytics (e.g., R or Python), and experience in data engineering platform environments such as Hadoop/AWS/CML/GiT.
• Experience and/or training in the application of advanced scientific and analytical methods.
• Proven implementation of creative technology solutions that advanced the business.
• Excellent written and oral English communication skills.

EEO: {“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”}