Data Scientist in Systems Biology

DuPont Pioneer, formerly Pioneer Hi-Bred is a large U.S. producer of hybrid seeds for agriculture. They are a major producer of genetically modified organisms.

• Collaborate with Principal Investigators and design experiments to optimize for relevant signal quality within budgetary constraints.
• Contribute to the rigor and development of our data science team, keeping up with rapidly evolving technology.
• Manage collaborations across geographies and time zones.
• Work both independently and collaboratively with data engineers, bioinformaticians, and other analysts to accumulate, organize, normalize, impute, and engineer features from heterogeneous data sources. Dataset sizes range from small to large, some may be considered Big Data.
• Develop rigorous methods to detect previously unknown patterns in data, such as latent factors, biological modes of action, and causal relationships.
• Work with software development teams to deploy reusable solutions from proofs-of-concept.
• Apply biological domain knowledge to gain new insights.
• Generate hypotheses and propose new data types and experiments to test them.

Preferred Qualifications:

• Computational Biology and Bioinformatics including quality assessment, analysis, interpretation and visualization of high-throughput sequencing data.
• Systems Biology including the integration of data from many different biological components to develop models for the processes we study.
• Supervised and unsupervised machine learning including deep learning.
• Frequentist and Bayesian statistical methods.
• Graph theory.
• Scientific computing in R/ Bioconductor, Python/ SciPy/ BioPython, MATLAB, or others.
• Proficiency in compiled programming languages such as C, C , and others, in order to read, understand, and modify code.
• Databases including relational Oracle data warehouse, abstract NOSQL, and unstructured data lake.
• Cloud computing environments, resources, and toolsets.

Education and Experience:

• PhD in Computational Biology, Systems Biology, Bioinformatics, Computer science, Engineering, Statistics, Physics, Mathematics or a related field.

In addition, the successful candidate will exhibit the following behaviors:

• Exchanges information freely
• Builds on others’ ideas
• Supports group decisions
• Models commitment
• Operates with integrity
• Sets challenging performance expectations
• Views Innovation & Creativity as an expectation
• Comfortable in a dynamic environment
• Manages complexity effectively
• Demonstrates decisiveness/action
• Assumes ownership for outcomes
• Takes calculated risks
• Achieves goals
• Uses measurement to monitor results
• Develops and considers alternatives