Eversana - Manager - R/Python (7-10 yrs)

Job Description :

Introduction :

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.

- All other duties as assigned.

Qualifications :

- 7 - 10 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., 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.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.