Planet Pharma
Job Description
Target Pay Rate: 50-68.12/hr salary will be commensurate with experience
Job Description: • Establishing data workflows and predictive tools to enable more effective identification, characterization, and development of novel medicines and vaccines is a key objective for client. • This position sits within the Digital Sciences team in the Analytical Enabling Capabilities sub-department of Analytical Research & Development. You will be part of a team working collaboratively across a wide range of areas impacting all aspects of the drug discovery and development pipeline. • A diverse array of projects spanning data workflows to instrument metrology to predictive sciences ensure this Digital Sciences team helps to enable work across all drug modalities including small molecule, peptide, biologics, vaccines, and beyond. • The core Digital Sciences team works with a networked group of digital champions across AR&D and has close connectivity to other digital/data facing teams across Research Laboratories including critical IT collaborators.
Education: • Candidates with a degree in computer science or related field; or a degree in the chemistry disciplines with strong programming capabilities.
Experience: • 4-6 years of experience
Must have/required skills: • Development of dashboards, reports, and data exports • Experience with programming in Python and deployment on Posit • Experience with data visualization tools (Shiny, Streamlit, Dash, Spotfire, PowerBI, or Tableau) • Excellent verbal and written communications skills • Works independently and be able to collaborate as a team • Strive for continuous improvement and suggest innovative solutions to scientists' common challenges related to data visualization • Version control using Git and GitHub • Experience with Microsoft Power Platform (both Power BI & Power Apps) and any other similar software. • Connecting to AWS (S3, RedShift, Glue, Athena) as a data source for data visualization
Nice to have/preferred skills: • Experience with data pipeline tools such as Dataiku or Databricks • Experience with relational databases and SQL • Experience with graph databases (Neo4J or AWS Neptune) • Experience with statistical data analysis and tools (JMP, Minitab)
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 Pay Rate: 50-68.12/hr salary will be commensurate with experience
Job Description: • Establishing data workflows and predictive tools to enable more effective identification, characterization, and development of novel medicines and vaccines is a key objective for client. • This position sits within the Digital Sciences team in the Analytical Enabling Capabilities sub-department of Analytical Research & Development. You will be part of a team working collaboratively across a wide range of areas impacting all aspects of the drug discovery and development pipeline. • A diverse array of projects spanning data workflows to instrument metrology to predictive sciences ensure this Digital Sciences team helps to enable work across all drug modalities including small molecule, peptide, biologics, vaccines, and beyond. • The core Digital Sciences team works with a networked group of digital champions across AR&D and has close connectivity to other digital/data facing teams across Research Laboratories including critical IT collaborators.
Education: • Candidates with a degree in computer science or related field; or a degree in the chemistry disciplines with strong programming capabilities.
Experience: • 4-6 years of experience
Must have/required skills: • Development of dashboards, reports, and data exports • Experience with programming in Python and deployment on Posit • Experience with data visualization tools (Shiny, Streamlit, Dash, Spotfire, PowerBI, or Tableau) • Excellent verbal and written communications skills • Works independently and be able to collaborate as a team • Strive for continuous improvement and suggest innovative solutions to scientists' common challenges related to data visualization • Version control using Git and GitHub • Experience with Microsoft Power Platform (both Power BI & Power Apps) and any other similar software. • Connecting to AWS (S3, RedShift, Glue, Athena) as a data source for data visualization
Nice to have/preferred skills: • Experience with data pipeline tools such as Dataiku or Databricks • Experience with relational databases and SQL • Experience with graph databases (Neo4J or AWS Neptune) • Experience with statistical data analysis and tools (JMP, Minitab)
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.