Role:Scientific Data Analyst, Informatics

Location:San Francisco, CA

Primary Functions

• Understand raw data from low-throughput in vitro and high-throughput screening (HTS) assays
  
• Create automated scripts to process assay data into analysis-ready results including consideration to outliers, edge effects, controls, and methods to calculate IC50 and EC50
  
• Assist scientists with statistical analysis and interpretation of results into decisions, including pass/fail of target hit, compound confirmation, and activities in counter screens
  
• Develop, refine, and deploy models to visualize single and multiple data sets in order to streamline the decision-making process with scientists and leaders
  
• Present meaningful, easy-to-understand, consistent visualizations incorporating statistical assessment of data quality with comparisons among methods, data sets, and assay conditions
  
• Analyze historical trends across targets and share insight into classes of action and promiscuity
  
• Discuss/Document workflow and requirements of scientists into action items
  
• Assist in the proper storage and retrieval of information to/from databases
  

Qualifications

• Ph.D. in Computational Biology, Computer Science, Bioinformatics, Statistics, or related field with 3+ year??s post-degree experience. Master??s degree candidate with 8+ years?? experience would also be considered.
  
• Experience with multivariate statistical techniques, algorithms, and packages to handle systematic and random error in multiple types of biological experiments and implement them in data analysis workflow
  
• Knowledge of appropriate models to filter and fit multi-dimensional, chemical and assay data as well as assess the quality of the data being reviewed
  
• Expertise in comprehensive data analysis with commercial scripting tools such as Pipeline Pilot and decision tools such as Dotmaticsâ?? Vortex and TIBCO Spotfire
  
• Ability to use statistical packages such as R, JMP, Minitab, and ProMV
  
• Ability to code algorithms using formal (e.g., Java) or scripting (e.g., Python) languages
  
• The successful candidate will be aligned to?? culture and values; he/she will be team oriented and highly collaborative with a hands-on approach
  
• The candidate should be enthusiastic, driven, have the ability to work independently and thrive in a dynamic start-up environment
  

Key Skills: