Spotfire Developer

Location: Remote Duration: 12 Months Contract (W2) Top Must Have Skill Sets: Minimum 8 years of reporting development experience, biotechnology or pharmaceutical experience preferred MUST: Minimum 4 years of advanced Spotfire specific development experience in a validated environment required- we are looking for an extremely strong person in Spotfire. That should be the candidates number 1 platform of choice with the experience. Should be Spotfire SME Knowledge of GxP data standards and associated requirements of working in validated environments This role is responsible for: The Senior Spotfire Developer will be responsible for creating fit-for-purpose validated analyses, visual data displays, developing open-source technology, collaborating with other industry experts in developing standards and creating dashboards from diverse data types to aid in internal data consumption and decision-making The Senior Spotfire Developer is an experienced technical role that will use fit-for-purpose technology (Spotfire, R/Rshiny, SAS, etc) for the development and execution of historical and real time analytics This position will participate in regular interactions with cross-functional stakeholders across the organization Demonstrated abilities to prioritize work; to understand internal business data and decision-making needs; and to communicate and collaborate with key stakeholders both within Quality Control and Operations overall are essential along with the ability to interact with other industry experts in the development of standards Explore other open-source Data Science languages such as Python in fit-for-use analytical environment Create, augment, or modify current reporting to accommodate specific needs and requests, including means of tracking data quality, completeness and trends Serve as a point of contact to support cross-functional stakeholders and deliver data-driven solutions, including clarifying requirements, prototyping solutions, and delivering production dashboards/analytics Mentor team members, as required Participate in building and maintaining data pipelines to automate data processing tasks Administer and maintain user access to data reporting Create integrated data analyses pooling data across various relevant data sources to meet business needs as appropriate Generate strategic business insights to support business development and corporate strategy This role will report to the Quality Control Digital Optimization Program Lead Basic qualifications Bachelor’s or master’s degree in a data science field, e.g., statistics, mathematics, computer science, bioinformatics, or another field with commensurate levels of experience (extensive relevant experience exceeding requirements below will be considered in lieu of a degree) Minimum 8 years of reporting development experience, biotechnology or pharmaceutical experience preferred Minimum 4 years of advanced Spotfire specific development experience in a validated environment required DataBricks and GitLab experience strongly preferred Programming experience in R, SAS, or Python and SQL working with large integrated datasets Familiarity with reproducibility and traceability Knowledge of GxP data standards and associated requirements of working in validated environments Experience working across business functions and all levels of the organization to translate user requirements into data-driven insights Experience in a principal role and/or mentoring junior team members Compensation: The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements). Benefits and Ancillaries: Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee. Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.