Clinical Flow Cytometry Data Analyst
Pay Range: 36.39 - 59.38
We are seeking a Clinical Flow Cytometry Data Analyst to join our Precision Medicine team. Precision Medicine, a part of Early Clinical Development & Experimental Sciences leads biomarker strategy and execution from early concept studies through late development and is supported by Precision Medicine Strategy Leads, Precision Medicine Operations specialists, as well as quantitative analytical and companion diagnostics scientists.
Flow cytometry continues to gain importance with regulators as an essential method in the development of personalized medicine. In this newly created role that resides within Precision Medicine, the individual would be primarily responsible for supporting analysis and review of clinical flow cytometry data acquired across various clinical studies and therapeutic areas. The role requires a solid, hands-on understanding of flow cytometry and will support data characterization from conventional and spectral cytometry platforms often from large multi-color panels. In this role, the individual would develop a pipeline to ensure high data quality, working closely with key internal stakeholders and vendors. The selected individual would be an important contributor to the Biomarker Assays and Quality team. This is an onsite role with participation in meetings and activities in Tarrytown, NY.
As a Clinical Flow Cytometry Data Analyst, a typical day may include the following:
Review and analyze raw data (using various gating strategies) to identify irregularities and negative trends
Contribute independently and in matrix teams to improve data quality from flow cytometry experiments
Meet with key stakeholders and develop KPIs for assay quality, and periodically review assay quality data from various sources on relevant clinical trials
Support clinical biomarker strategy leads through data upload, workflow sharing, and other activities performed especially through cloud platforms
Support initiatives to reduce instrument and technical variation across assays and vendors
Support the development of business process documents related to these activities
Manage limited number of critical internal reagents especially supporting cytometry assays with monitoring of consumption and forecasting future needs
Participate in cross functional meetings to support flow cytometry and other biomarker assay development, validation and assay quality initiatives
This role may be for you if:
Candidate must be detail-oriented, self-starter and possess both strong organizational and communication skills
Able to multi-task and critically analyze and troubleshoot technical/scientific problems of various complexity levels
Ability to collaborate cross-functionally with members of the Flow Cytometry Core and research therapeutic areas
To be considered for this role, you must have a B.S. with at least 2-3 years’ experience performing and analyzing flow cytometry assays or M.S. with at least 1 year experience. Experience and coursework in Immunology and/or Oncology setting preferred. Experience independently using at least 1 or more flow cytometry software programs (FlowJo, FCS Express, etc) is required. Knowledge of OMIQ analysis platform a plus. Experience in coding (R, Python, etc), Data Science or willingness to learn in support of role and tool building. Proficiency with Microsoft Word, Excel, PowerPoint; experience with MS Project is helpful. Role may involve infrequent travel to meet with key vendors.