Saama (A Carlyle Portfolio Company) focuses on the specific needs of pharmaceutical & biotech companies, delivering transformative business outcomes. The combination of Saama’s AI research, advanced technical & analytics capabilities, domain expertise across the drug development & commercialization life cycle, and successful product co-development approach has made Saama a trusted partner and thought leader in the life sciences industry. If you possess a solutions mindset, strong management skills, and commitment to be part of a tremendous journey, join our growing, global team. See what Saama can do for your career and your journey.
We are looking for someone with strong Healthcare domain knowledge, data modelling skills with IBM UDMH experience. To work with us, review the model, redefine as required
Knowledge, Skills & Abilities
What You’ll Do
Experience & Education
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.
Physical DemandsThis position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO
Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.