Bioinformatics Analyst (HEOR/RWE)

The Fountain Group; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Engineering Recruiter to lead analytics in real-world evidence generation. This remote role involves designing and executing large-scale data analyses to identify gaps in care and measure impact using real-world data. The ideal candidate will apply statistical theories and analytical methods to clinical and claims databases while serving as a technical expert in RWE analytics. This position offers the opportunity to contribute to meaningful healthcare solutions and collaborate with cross-functional teams. If you're passionate about using data to drive healthcare improvements, this role is perfect for you.

Qualifications

• 1-2 years' experience in analytics programming with a focus on RWD.
• Experience in HEOR and large medical claims datasets preferred.

Responsibilities

• Design and execute large scale data analysis to identify care gaps.
• Present analysis results and contribute to findings for various audiences.

Skills

Analytics Programming

Machine Learning

Statistical Theories

Problem Solving

Data Visualization

Education

MS or PhD in Health Economics and Outcomes

Public Health

Tools

SAS

SQL

R

Python

UNIX/Hadoop

Job description

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This range is provided by The Fountain Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $83.00/hr

Senior Engineering Recruiter at The Fountain Group

REMOTE ROLE

Pay Based on Years of Experience

• Data Scientist I (1-2 years) Pay: $50/hr
• Data Scientist II (3- years) Pay: $63/hr
• Data Scientist III (5+ years) Pay: $84/hr

REQUIRED:

• MS or PhD in Health Economics and Outcomes or Public Health and a minimum of 1-2 years' experience in analytics programming (SAS, SQL, R, Python) required. Candidates with Python and machine learning experience are preferred.
• RWE Data Scientist; must have experience within HEOR working with RWE data analytics/RWD.
• Ability to incorporate production code macros required, execute programming assignments, problem-solve issues independently, and 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 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.

Job Description:

The role is responsible for designing, planning, and executing large scale data analysis and algorithm development to identify gaps in the care continuum and 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 the 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. The role supports the department as a technical subject matter expert on RWE analytics; the candidate is expected to act as a point of contact for the assigned therapeutic area (TA) on analytical needs, proactively mitigating, resolving, and triaging issues and reducing operational complexity. The candidate is expected to standardize coding conventions 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 contributing to the 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.
• Working with Medical Engagement to understand key impact variables and using RWD to quantify and operationalize these variables.
• Responsibility and accountability for meeting timelines in a complex matrix structure. This will require developing and maintaining effective cross-functional working relationships to assure effective teamwork and oversee 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 dictionaries and corresponding analysis.

Seniority level

Associate

Employment type

Contract

Job function

Science

Industries

Pharmaceutical Manufacturing

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