Bioinformatics Engineering Jobs in Chicago, IL (NOW HIRING)

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.

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.

Requirements:

• Bachelor's degree in 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.

Top Skills:

• 3+ years of analytics related experience in clinical research. Experience with clinical data preferred.
• Experience with Spotfire or similar visualization tool.
• Experience with R programming.
• Experience working with cross-functional stakeholders and gathering requirements, implementing analytic solutions, and enabling data driven insights.