Data Science Manager

1 week ago

bangalore, India EVERSANA Full time

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.

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: