Rangam is a minority, woman, and disability-owned workforce solutions company.

Rangam Consultants

Job Title:

 

RWE Data Scientist (contractor), V&E Real World Evidence Analytics

 

Scientist (based on experience, it could be data scientist I to III).

Data Scientist I (1-2 years)

Data Scientist II (3- years)

Data Scientist III (5+ years)

 

Purpose:

* Role is responsible for designing, planning, and executing large scale data analysis, and algorithm development to identify gaps in the care continuum and to measure impact using RWD.
* This work highlights the value of utilizing real world data to inform or address strategic questions in the disease areas of interest to Client.
* The role involves the application of statistical theories, analytical methods, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases.
* Role supports the department as a technical subject matter expert on RWE analytics; candidate is expected to act as point of contact for the assigned therapeutic area (TA) on analytical needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.
* Candidate is expected to standardize coding convention, and processes to increase efficiency. Candidates must be adept at breaking down complex data into easily understood language and/or visualization for less technical audiences.
* Candidates should also be creative in the use of RWD and propose solutions to answer business questions.

 

Responsibilities:

* The candidate is expected to have the potential to be the analytics lead for the assigned therapeutic area (TA) to mitigate, resolve and triage analytical complexities
* Presenting results of analysis and contribute presentation of findings and key takeaways for various audiences
* Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities
* Executing analysis plans and providing consultation to design as needed
* Work with Medical engagement to understand key impact variables and use RWD to quantify and operationalize these variables
* Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintaining effective cross-functional working relationships to assure effective teamwork and overseeing problem solving within the analytical team
* Interactions with Medical Engagement, Business Unit TAs, HEOR, and RWE CoE regarding findings and with other members of the Analytical team that perform QC activities on their studies
* Translating TA business needs into project concepts to develop supporting data dictionary and corresponding analysis

 

Qualifications:

* Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred
* Minimum of 1-2 years’ experience in analytics programing (SAS, SQL, R, Python) required. The candidates with Python and machine learning experience are preferred.
* Ability to incorporate production code macros required, ability to execute programming assignments and problem solve issues independently, and ability to present complex research and data clearly to stakeholders.
* Experience and/or training in the application of advanced scientific and analytical methods in real world evidence generation
* Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects
* Professional training in a healthcare field, experience in analysis of large medical claims datasets or prior experience in the UNIX/Hadoop environment preferred

Data

Python

Machine learning

Analytics

Analysis

Research

Algorithm

Data analysis

Database

Problem solving

Project management

Statistics

Unix

Apache Hadoop

Statistical Analysis

Data Visualization

Clinical trials

RCI-ABBV-30485 Real World Evidence Data Scientist (RWE Analytics/SAS/SQL/Python/Machine Learning/Medical Claims Datasets) (Pharma/Biotech)