Manager-Data Science

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.  

Job Overview: Manager – Patient Analytics

We are looking for an experienced professional to lead patient analytics projects, working closely with pharmaceutical clients to deliver robust analytical solutions. The ideal candidate should have strong technical expertise, hands-on experience with patient-level data, and the ability to engage directly with clients while guiding a team.

Key Responsibilities

• 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.

• Develop and apply data mining, statistical, 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.

• Support the development of visualizations and presentations for client deliverables.

• Interface with EVERSANA analysts, data scientists, clinicians, program managers and with EVERSANA customers.

• Responsible for the development and delivery of projects within defined timelines. • Respond to additional ad-hoc analysis requests.

Job Requirements

• 7-12 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, (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

• Bachelor’s degree (preferably in Engineering) from a reputed institution, with strong experience in life sciences and claims data analytics.

• Degree in any of the following majors: Epidemiology, Biostatistics, Bioinformatics, Statistics, or similar

• Master’s degree (MBA) from a recognized institution is preferred Expectations

• Hours (40 Hours per week, 5 days of the week) • Shift Timing: 11:30 AM to 8:30 PM IST (fluid based on requirement).

## Additional Information

All your information will be kept confidential according to EEO guidelines.

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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