Data Scientist

SUMMARY
The Data Scientist will be responsible for data modeling, predictive analytics, and machine learning to uncover valuable insights from our complex datasets, allowing Clario to use data to directly impact patient care, operational efficiency, and the development of innovative solutions.

What you'll be doing:

Primary Responsibilities

• Data Modeling & Analysis: Develop and deploy advanced data models, utilizing machine learning and statistical techniques, to extract actionable insights from large-scale data.
• Predictive Analytics: Design and implement predictive models to forecast trends, identify risks, and optimize clinical outcomes.
• Data Pipelines: Build and maintain scalable data pipelines to streamline data extraction, transformation, and loading processes.
• Data Visualization: Create clear and informative visualizations to communicate complex data findings to both technical and non-technical stakeholders.
• Collaboration: Partner with cross-functional teams (clinicians, researchers, etc.) to understand their data needs and deliver tailored solutions.
• Insight Generation: Translate data analysis into actionable recommendations that drive strategic decision-making.
• Algorithm Development: Research and develop innovative algorithms to address unique challenges.
• End-to-End Ownership: Take models from development to production, ensuring scalability and reliability in real-world applications.

Maintains Quality Service and Departmental Standards by

• Reading, understanding and adhering to organizational Standard Operating Procedures (“SOP”)

• Reviewing and updating company SOPs and WIs related to Data Science Services

Secondary Responsibilities

Contributes to team effort by

• Exploring new opportunities to add value to organization and departmental processes
• Helping others to accomplish results

• Performing other duties as assigned and deemed necessary

Maintains Technical Knowledge by

• Attending and participating in applicable company sponsored training

What we look for:

Qualifications

Education:

• Bachelor’s degree in a quantitative field like Computer Science, Information Technology, Mathematics, Cognitive Science

Experience:

• 3+ years experience in data management/analytics/data engineering
• Experience in pharmaceutical research and development preferred
• Experience with SQL and Python required
• Experience in scalable data science and analytics, include model building, data cleaning, visualization and machine learning algorithms
• Experience in Medical Imaging, Regulatory and Clinical Research process preferred
• Proven track record in applying machine learning techniques to real-world problems and deploying models to production environments.
• Familiarity with AWS cloud-based data platforms is a plus.
• Experience or familiarity with generative AI (GenAI) technologies and applications is a plus.

Additional Skills:

• Strong interpersonal and communication skills, both verbal and written
• The ability to explain complex technical material to nontechnical audiences
• Strong organizational and leadership skills
• Goal oriented
• Ability to promote and maintain a positive and professional and positive attitude
• Fluency in English (both verbal and written) is required

Working conditions

Travel: 0-25%

Lifting: 0-20 lbs.

Other: Computer work for long periods of time

This JOB description should not be deemed all-inclusive. Additional requirements and expectations may be assigned. At all times, employees are expected to adhere to company policies and company SOPs.

The Department Head has the discretion to hire personnel with a
combination of experience and education which may vary from the above listed qualification ​

EEO statement

Clario is an equal opportunity employer. Clario evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.