PharmaForceIQ is a US-based cutting-edge life sciences omnichannel marketing and analytics SaaS platform company that partners with pharmaceutical, biotech and other life sciences companies to help deliver the Right Message to the Right Physician through the Right Channel at the Right Time by deploying the power of advanced predictive analytics and machine learning. The company’s focus on the life sciences industry has generated deep expertise in the nuances and complexities involved in the use of life sciences data to make drug marketing more effective.
The RoleYou Will Be Responsible ForCreating and utilizing generative AI or ML models that could have a positive impact on the business. Driving all data modelling activities ranging from conceptualization, visualization to operationalization. Performing statistical analysis on historical data to validate models. Working across stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions. Developing scripts to process structured and unstructured data. Recommending, developing and implementing ways to improve data reliability, efficiency and quality. Supporting translation of data business needs into technical system requirements.
Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility. Ideal ProfileYou possess an advanced degree, in Mathematics, Statistics, Computer Science or related field. You have at least 3 years experience, ideally within a Data Engineer or Data Scientist role. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
You have working knowledge of Python programming, Artificial Intelligence, GEN AI, Pyspark, Databricks and Cloud ComputingYou possess strong analytical skills and are comfortable dealing with numerical dataYou pay strong attention to detail and deliver work that is of a high standardYou enjoy finding creative solutions to problemsWhat's on Offer?Work alongside & learn from best in class talentExcellent career development opportunitiesGreat work environment
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.