Mindlance
Position Title: Data Scientist III
Length of Contract: 6 months
This position can be 100% remote
Key Skills and Experience Required
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.
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 ***’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.
Connect with cross‑functional teams to design work product and act as an analytics consultant. Anticipate and identify issues that could affect timelines or quality and develop options and solutions.
Lead and help establish 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, develop prototypes, test methods and algorithms. Leverage emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights.
Enable data‑driven insights to support clinical development continuum, including precision medicine.
Ensure adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, *** Standard Operating Procedures (SOPs), and to functional quality standards. Stay 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 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 requirements.
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.
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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This position can be 100% remote
Key Skills and Experience Required
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.
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 ***’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.
Connect with cross‑functional teams to design work product and act as an analytics consultant. Anticipate and identify issues that could affect timelines or quality and develop options and solutions.
Lead and help establish 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, develop prototypes, test methods and algorithms. Leverage emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights.
Enable data‑driven insights to support clinical development continuum, including precision medicine.
Ensure adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, *** Standard Operating Procedures (SOPs), and to functional quality standards. Stay 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 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 requirements.
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.
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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