Job Description

Company Description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We're fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!


Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.



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.

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 empower others to act now.

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.

Own It I hold myself and others accountable for results .

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.
• Act as a subject matter expert to determine scientific and methodological aspects of RWE projects.
• Independently draft and edit high quality research proposals and statistical analysis plans.
• Guide team members with components of RWE analysis, such as, cohort creation, target/control creation, comorbidity analysis, adverse reactions, line of therapy, cost analysis, provider and payer analysis, KOL segmentation and targeting etc., based on clinical knowledge of disease area.
• 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



Qualifications 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 empower others to act now.

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.

Embrace Diversity I create an environment of awareness and respect.

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

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 empower others to act now.

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.

Embrace Diversity I create an environment of awareness and respect.

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


Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.


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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