Data Scientist (Hybrid- Exton, PA)

Location

Exton, PA | United States

Job description

Overview

The Data Scientist will apply statistical theory and methods to collect, interpret, and summarize data, as well as make predictions and recommendations based on complex data sets including solutions for process improvement and new product development. Responsibilities include data extraction, evaluation and use of machine learning tools, analysis of proprietary data for patterns, and development of predictive models. A successful candidate will be versed in effective data visualization techniques with 10 years of relevant experience in the life sciences industries. 

Key Responsibilities

• Identifies new, strategic requirements for data and leads process of acquisition and productization
• Develops and implements statistical models and algorithms to analyze complex data sets
• Performs statistical analysis of data to identify trends and patterns and to build reports for stakeholders
• Works with cross-functional teams to identify and define business problems and develop analytical solutions
• Defines and steers implementation of processes and standards for Machine Learning tools, code, testing, and product deployment
• Trains and mentors others with respect to advanced Data Science/AI/Machine Learning techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutions
• Evaluates new technologies to drive best practices
• Industry and Academic Awareness: Stays up-to-date with the latest developments in around AI and associated technologies in both academia and industry, integrating relevant advancements into our Spherix strategy

Education & Experience

• Bachelor’s degree in computer science, statistics, applied math or related field required
• Extensive background in data mining and statistical analysis
• Experience with SQL and statistical software packages (Python, R, SAS) required
• Experience using business intelligence tools and data frameworks, working with AI and on product innovation
• Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
• Experience with data de-identification and synthetic data generation/upscaling
• Experience with large-scale healthcare data sets, including electronic health records, claims data, and patient-generated data
• 10+ years experience as data scientist 

Generous Benefits Package

• Competitive pay and an annual performance-based bonus
• 20 Days PTO per year and Christmas to New Years paid vacation
• Summer Fridays Memorial Day to Labor Day
• Competitive 401k with company match

Interested candidates should submit a resume with cover letter stating why this role is of interest and what attributes you will bring to the Spherix team. 

About Spherix

At Spherix, we are a hyper-focused market intelligence firm that leverages our proprietary network of Health Care Practitioners (HCPs) to provide actionable insights to our clients so that they can make better decisions.  We specialize in select dermatology, gastroenterology, nephrology, neurology, ophthalmology, and rheumatology markets.

Our leadership team has extensive client-side experience in biopharmaceutical brand management and strategic marketing, coupled with a passion for the specialty markets that they cover.  Our therapy teams intimately understand each therapeutic market and effectively partner with our clients.  In addition, Spherix Global Insight’s proprietary network allow us to not only rapidly turnaround research, but it also ensures a high-quality respondent base that is engaged in the research process.

Spherix Global Insights has a passionate team of professionals that is driven by helping customers turn information into insights.  Our proprietary approach and our passionate team have allowed the company to grow rapidly over the past five years. 

Recognized by the Philadelphia Business Journal as one of the fastest growing businesses in Philadelphia- Award:  Soaring 76 – 2019, 2020, 2021, 2022, 2023

Recognized by the Entrepreneurs’ Forum as one of the fastest growing privately held business in the region- Award:  Philadelphia 100- 2019, 2020, 2021, 2022

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