Data Science, Toxicology

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Responsibilities:

• Collaborate with research and bioinformatics scientists to conceive informatics analysis strategy leveraging advanced machine learning/AI algorithms to support discovery and pre-clinical safety studies. Specific applications can be but not limited to transcriptomics, bioactivity, in vitro/vivo safety data and molecular data integration, etc.
• Identify and process relevant internal and external safety datasets and knowledge resources. Propose and execute computational research to identify associations across safety features by leveraging and harmonizing datasets
• Develop tools and user-interfaces that incorporate learnings from computational work to assist team members to evaluate and predict safety outcomes
• Communicate results and methods verbally and in writing for scientific and non-technical audiences

Qualifications:

• Bachelor’s Degree with 4 years’ experience or Master’s Degree with experience in Statistics, Computer Science, or a related quantitative field. Background in life sciences or work experience in the pharmaceutical industry preferred.
• Experience with data science and a variety of coding languages and packages, such as R, Python etc. Expected proficiency in at least Python and R.
• Knowledge of data mining, cleaning and transformation techniques, such as dimensional reduction, normalization, standardization, imputation, aggregation, and performing exploratory analysis prior to statistical analysis or machine learning
• Familiarity with modern relational databases and/or distributed computing platforms Big Data, and their query interfaces, such as SQL, Impala, Spark, PySpark and Hive.
• Experience using visualization techniques for presenting data and analysis as dashboard in tools such as R/Shiny, ggplot, SpotFire, and Custom web-based solutions.