Data Scientist III

Spectraforce Technologies; North Chicago (IL); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading analytics firm is seeking a Data Scientist III to drive analytical innovation in clinical trials remotely. The ideal candidate will have a strong background in R and Python with at least 3 years of experience in clinical research. Responsibilities include managing analytic needs, developing prototypes, and ensuring compliance with guidelines. Excellent communication and collaboration skills are essential. Join us to contribute to data-driven insights and transformative clinical development.

Qualifications

• 3+ years of analytics-related experience in clinical research.
• Advanced proficiency in analytics tools like R or Python.
• Experience with statistical and data mining techniques.

Responsibilities

• Manage and execute analytic needs for clinical trials.
• Identify business needs and support creation of KPIs.
• Develop prototypes and algorithms for innovative analytical solutions.

Skills

R

Python

Data Visualization

Communication Skills

Problem-solving

Collaboration

Education

Bachelor's degree in statistics, analytics, bioinformatics, or equivalent

Master's degree preferred

Tools

Spotfire

Tableau

Statistical Packages

Job description

Overview

Job Title: Data Scientist III

Duration: 6 months

Location: Remote

Purpose

Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of client's data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions.

The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development processes. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics. Identifies use cases that are appropriate for the application of ML and AI.

Roles and Responsibilities

• Manage and execute analytic needs for a set of clinical trials based on therapeutic alignment. Partner with cross-functional teams to enable data-driven insights to support the end-to-end clinical trial execution through fit-for-purpose analytics support
• Identify business needs on a study and support the creation of RBQM deliverables (KRIs/QTLs), data review deliverables, or study specific reports or analyses as required.
• Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
• Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
• In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
• Enables data-driven insights to support of clinical development continuum, including precision medicine
• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, client Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
• Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
• Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks;

Qualifications

• Bachelor's degree statistics, analytics, bioinformatics, data science or equivalent field. Master's degree preferred
• Must have 3+ years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
• Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
• Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
• Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman's terms
• Demonstrated problem-solving and analytical skills
• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
• Strong cross-functional collaboration skills to navigate a matrixed work organization
• Exhibits excellent organizational skills to manage multiple priorities and projects.
• Communicates clearly, translating business needs into actionable analytics requirement
• Strong technical expertise and proficiency with R, Python or other statistical packages. Proficiency with visualization tools such as Spotfire or equivalent
• Fosters innovation and an entrepreneurial culture within the team that attracts and retains top talent; creates an environment of continuous learning
• Effectively influences cross-functional stakeholders to identify and unlock the full potential of data and analytics.
• Thrives in fast-paced environments and adapts quickly to changing priorities.