Planet Pharma
Job Description
Target PR Range: 75-85/hr *Depending on experience 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 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, 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 requiremen • 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.
*CO/NYC candidates might not be considered
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
Target PR Range: 75-85/hr *Depending on experience 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 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, 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 requiremen • 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.
*CO/NYC candidates might not be considered
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.