Partner with NCSS stakeholders, prioritize and implement NCSS data needs and use cases, including ensuring FAIR NCSS metadata.
Successfully collaborate and deliver results in a matrixed environment across PSTS functions (including BDDS, TPPIT, SIS, and Pathobiology stakeholders) and DPDS (IT and Data Science) to assess data landscape and develop solutions in line with strategy, implementation roadmaps, and action plans.
Independently develop solutions for NCSS data search, interpretation, reporting and communication to stakeholders; deploy relevant data transformations, visualizations, summaries and analytics; deploy quality control measures to ensure accuracy and completeness of analyses and solutions; develop and implement statistical and machine learning models applied to multimodal toxicology data.
Serve as a subject matter expert in Nonclinical Safety & Submissions data science, capable of recommending the optimal solution and leading development and implementation.
Provide expertise and mentorship on NCSS data science methodologies/exponents.
Provide scientific leadership in data analytics, fostering a data-driven culture, and applying innovative approaches.
Interpret and communicate outcomes of analyses with independence in report writing and PowerPoint presentations.
Collaborate, present, and communicate project-related deliverables and findings in multidisciplinary PSTS meetings.

A minimum of a Master’s degree in Biology or a Computational Science (Computer Science, Biostatistics, Engineering, or Data Science or related field) with experience in programming and data science is required
A PhD in Biology or a Computational Science, (Computer Science, Biostatistics, Engineering, or Data Science or related field) with experience in programming and data science is highly preferred
A minimum of 8 years of Data Science experience in an industry or academic setting post-degree in positions of increasing responsibility is required
Good knowledge of SAS required
Proficiency in programming (e.g. Python, R, SQL, Javascript) and experience with Cloud Platforms (e.g. GCP, Azure, AWS) is required
Skill in data visualization and dashboarding tools (e.g. Spotfire, PowerBI, R-Shiny) is required
Proficiency in the use of statistical models and AI (e.g. multivariate linear regression, cluster algorithms, decision trees, logistic regression, Principal Component Analysis [PCA], machine learning [supervised and unsupervised], Bayesian Methods, Neural Networks) is required
Knowledge of medical terminology and familiarity with biological research is required
Preferred: Experience in the disciplines of Biology, Biotechnology, and/or Toxicology

Vacation –120 hours per calendar year
Sick time
40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time
up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year

Associate Director, Data Scientist

Key skills