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Engaged Employer

Fortrea Development India Private Limited

Compare

3.9

based on 677 Reviews

30 Fortrea Development India Private Limited Jobs

Lead Analyst, Real World Evidence

Fortrea

3.9

based on 677 Reviews

5-7 years

Bangalore / Bengaluru

1 vacancy

Lead Analyst, Real World Evidence

Fortrea Development India Private Limited

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Entry Data Analysis Python SQL Research Operations

+ 14 more

Job Description

As a leading global contract research organization (CRO) with a passion for scientific rigor and decades of clinical development experience, Fortrea provides pharmaceutical, biotechnology, and medical device customers a wide range of clinical development, patient access, and technology solutions across more than 20 therapeutic areas. Conducting operations in ~100 countries, Fortrea is transforming drug and device development for partners and patients across the globe.

Job Overview:

Leading projects and project teams for providing programming and analysis support for Real World Evidence projects for Fortrea clients. Having good understanding of the various sources on Real World Data to be used in the analysis. Training and Mentoring the less experienced staff.

Summary of Responsibilities:

Lead and execute with full ownership of the assigned RWE projects.
Provide programming support for the analysis of real-world data across diverse sources including medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data.
Contribute to the development of programming specifications based on analysis requirements and source data.
Develop and validate analysis datasets from various file formats and sources, both internal and external.
Validate and develop graphs and tables primarily for exploratory investigations, adapting to evolving analysis requirements.
Ensure excellence in the programming of analysis-ready datasets, tables, listings, and figures, including associated validation work.
Develop and maintain required documentation for the assigned deliverables.
Communicate accurate and timely status updates to project team members.
Foresee potential issues and impact on project timeline and provide suggestions on best path forward for engagement success.
Communicate with internal and external stakeholders including responding to different communication styles, as well as a proven ability to build robust and sustainable customer relationships.
Mentor less-experienced RWE analysts.
Present and share knowledge at department meetings.
Identify processes within programming that will increase productivity, quality, and efficiency.
Respond to QA and client audits, and support qualification audits.
And all other duties as needed or assigned.

Qualifications (Minimum Required):

Bachelor s or Master s degree in Computers, Engineering, Statistics, Health Informatics, Life Sciences, Mathematics, Economics, or Econometrics.
Fortrea may consider relevant and equivalent experience in lieu of educational requirements.

Experience (Minimum Required):

Typically, 5-7 years of RWE analysis experience in the CRO or Pharmaceutical Industry, or an equivalent combination of education and experience to successfully perform the key responsibilities of the Job.
Experience in handling data from EHR/Claims databases (Optum, Marketscan, Flatiron etc.) is required.
Proficiency in SAS and SQL programming.
Ability to take detailed RWE study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings.

Preferred Qualifications Include:

Experience in programming languages such as R and Python.
Experience with handling big data, non-standard/new data, and complex data.
Expertise in creating various types of graphs for data presentation.
Strong analytical mindset and logical thinking capability.
Positive attitude and willingness to learn and contribute to a team setting and communicate effectively within the team environment.
Experience in working with real-world data from health insurance claims, retrospective analyses, manual chart reviews, prospective observational studies, and pragmatic clinical trials.
Good understanding of advanced statistical and econometric methods in theory and practice.
Ability to work effectively in a constantly changing, diverse and matrix environment.

Physical Demands/Work Environment: