We're looking for a skilled Data Scientist III to join a team dedicated to designing, planning, and executing research studies that examine the value of pharmaceutical assets. This is an impactful role where you'll apply your expertise in statistical theories, methods, and technical programming to analyze large datasets, including clinical, claims, and electronic medical records. If you're a problem-solver who enjoys collaborating and providing technical subject matter expertise, this could be an excellent fit.
You'll be working with a team that contributes to a leading global biopharmaceutical company committed to improving lives. The company's site is known for its beautiful campus environment, promoting a collaborative and modern workspace. This role is open to a hybrid schedule in Mettawa, IL, or fully remote.
location: Lake Forest, Illinois
job type: Contract
salary: $75.00 - 85.19 per hour
work hours: 9 to 5
education: Masters
responsibilities:
- Translate business needs into project concepts and collaborate with scientists to develop study protocols.
- Serve as the analytical lead for a therapeutic area to resolve issues and reduce operational complexity.
- Develop and maintain cross-functional relationships to ensure effective teamwork and problem-solving.
- Write analytical components of reports describing studies, outcomes, and methods.
- Present study results and contribute to scientific publications.
- Support clinical trial endpoint strategies by executing statistical analysis plans.
- Identify internal and external data resources and expertise to execute research strategies.
qualifications:
Required skills and qualifications:
- Master's degree in Statistics or a related discipline.
- Minimum 1-2 years of experience with SAS, SQL, R, and/or Python.
- Experience and/or training in advanced scientific and analytical methods.
- Ability to independently execute programming assignments and troubleshoot issues.
- Proficiency in data science techniques like visualization and machine learning.
- Ability to present complex research and data clearly to stakeholders.
- Accountability for meeting timelines in a complex matrix structure.
- PhD in Statistics or a closely related discipline.
- Professional training in a healthcare field.
- Experience analyzing large medical claims datasets.
- Prior experience in the UNIX/Hadoop environment.
- Ability to perform urgent analyses with short turnaround times.
- Familiarity with traditional healthcare databases (e.g., administrative claims data, electronic medical records).
skills: SAS, R Language, Real World Evidence (RWE)
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
