Offer summary

Qualifications:

Proficiency in Python and R programming languages., Strong background in statistical methods and machine learning., Experience with electronic health records (EHR) and real-world data (RWD) in the pharmaceutical industry., Knowledge in biology, genetics, epidemiology, and related fields..

Key responsibilities:

Develop and document analytic packages for in-house datasets across various therapeutic areas.

Conduct data quality assessments and execute study protocols.

Create reusable programming codes and build statistical models for data quality reports.

Innovate and implement statistical and machine learning algorithms to extract insights from healthcare datasets.

Job description

Biostatistics and Research Decision Sciences (BARDS) Epidemiology (EPI) Real-world Data Analytics and Innovation (RDAI) team is leveraging a Data Scientist responsible for developing Python/R software programs, documenting code and programming requirements to support research studies advancing real world data quality methodologies. Resource will need to be a SME in statistical methods, version control, and working with EHR claims and medical EHR data in the pharmaceutical industry.
Scope:
Develop internal analytic packages in R/Python to improve efficiency and the quality of in-house secondary data analytics. Resource will design and conduct data quality assessments for different indications and products of interest to the client. They will execute study protocol by developing reusable programming codes and building statistical models to generate data quality reports. He/she will also participate in the development of scientific publication

Responsibilities:

Develop Analytic packages including commonly used analytic functions to apply to multiple in-house datasets across therapeutic areas.
Developing and conducting proof-of-concept use cases across therapeutic areas
Test usability and user access to the developed packages
Document programming and code specifics, support the generation of related reports, and ensure proper version control during the development of the deliverables
Pioneer and develop innovative statistical, machine learning
(ML), and AI algorithms to distill insights from biological and healthcare datasets
Expertise in data science (statistics, ML, AI, LLM, NLP)
Engineering informatics, databases, web-development, programming in Python, R, SQL
Experience in RWD, biology, genetics, epidemiology, neuroscience, immunology, etc.

Join Our Team at Atlas
Atlas is a global strategic consulting firm, focused on the Life Sciences industry. Our services include Management Consulting, Managed Services and Agile Services. Global pharmaceutical companies and emerging players in life sciences depend on Atlas consultants to ensure they have the capabilities that will give them the ability to succeed. We are seeking Atlas IMPACT Makers who are ready to lead and innovate in dynamic environments. IMPACT Makers embody the principles of Atlas, driving transformative change and delivering outstanding results.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, genetics, disability, age, or veteran status. We value diversity and inclusion in our workplace and are committed to creating an environment where everyone has an equal opportunity to succeed

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