Job Description

Data science professional to lead a team of Data Scientists and Analysts to design, implement and deploy advanced machine learning / artificial intelligence algorithms across multiple domains including, but not limited to, pharma, healthcare, media and programmable ads. These analyses tasks will involve developing original code and leveraging EVERSANA’s existing healthcare analytics platform to provide analytic content in support of EVERSANA project work, RFP responses and other business needs. This professional will be a member of EVERSANA’s analytics team, reporting to VP of Data Science, and will manage junior Data Scientists and guide them in their day to day client project design and delivery activities.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

• Develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets.
• Develop software solutions and applications using SQL, Python, and/or R.
• Responsible for review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs.
• Responsible for the successful management of different projects within defined timelines while meeting the objectives provided, identifying and managing cross-functional resources required to adequately perform the tasks at hand.
• Act in a supervisory role to junior analysts/data scientists.
• Support and supervise the development of visualizations and presentations for client deliverables.
• Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers.
• Respond to additional ad-hoc analysis requests.
• All other duties as assigned. __

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

EXPECT AT IONS OF THE JOB:

• Travel (10% or less)
• Hours (40 Hours per week, 5 days of the week)

The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position.

An individual in this position must be able to successfully perform the expectations listed above.

Qualifications

PROFESSIONAL EXPERIENCE/QUALIFICATIONS:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

• At least 5 years of experience in data analytics and modeling, preferably around healthcare claims data and commercial analytics in the life science industry.
• Practical knowledge of statistics, statistical inference, and machine learning algorithms (deep learning, LSTM, SVM, CNN, GAN, and reinforcement learning)
• Hands-on experience and proficiency in SQL, Python, python, pandas, scikit-learn, numpy, scipy, R, visualization tools, and software development within a Linux environment
• Deep commercial awareness of the healthcare, health technology and pharmaceutical industry, gained through experience
• High level of knowledge and analytic experience with real world data sources (e.g., EHR/EMR data, RWD, healthcare prescription / claims databases) as well as comprehensive understanding of the RWD supply chain and reimbursement policies
• Expertise in healthcare industry terminology and coding (e.g. NDC11, ICD9/ ICD10, HCPCS, CPT, LOINC)
• Works independently and is a self-starter
• MS PowerPoint presentation development skills
• Client interface and presentation skills
• Ability to lead by example
• Strong organizational skills, including ability to manage multiple deliverables across multiple projects
• Significant consideration will be given to prior publications, independent software projects completed, and non-proprietary code authored by the candidate

EDUCATION:

• Degree in any of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Statistics.
• BS/MS degree in one of the above listed majors, PhD desirable.

Additional Information

OUR CULTURAL BELIEFS:

Patient Minded I act with the patient’s best interest in mind.

Client Delight I own every client experience and its impact on results.

Take Action I am empowered and hold myself accountable. ****

Embrace Diversity I create an environment of awareness and respect. ****

Grow Talent I own my development and invest in the development of others.

Win Together I passionately connect with anyone, anywhere, anytime to achieve results.

Communication Matters I speak up to create transparent, thoughtful, and timely dialogue.

Always Innovate I am bold and creative in everything I do.

EVERSANA is committed to providing competitive salaries and benefits for all employees. The anticipated base salary range for this position is $143,000 to $180,000 and is not applicable to locations outside of the U.S. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). EVERSANA reserves the right to modify this base salary range at any time.

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

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