Data Scientist

The Data Scientist is a key role within Intrexon’s Data Science & Computational Biology Unit. This position is responsible for modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, the candidate will also be proficient at integrating and preparing varied datasets, helping architect specialized databases, and computing environments, and communicating results. Working closely with scientific and IT partners throughout the organization, the Data Scientist will turn data into critical information and knowledge that can be used to make sound organizational decisions. The Data Scientist must be a creative and influential thinker that can propose innovative ways to look at problems across the analytics maturity spectrum from descriptive to diagnostic, predictive, and prescriptive. The successful candidate will create and use statistical tools to enable data analysis and pattern recognition, supporting and developing Design/Build/Test/Learn protocols. The role will require a combination of business focus, strong analytical skills and problem solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project.

Job Snapshot:
Posted On:
Location:Germantown, MD
Department:Bio-Informatics Division
Job Type:Full Time
Education:PhD (1+ years’ experience), MS (3+ years’ experience) or BS (5+ years’ experience) in physics, mathematics, statistics, genetics, engineering, bioinformatics, computer science or a related field
Experience:Proven track record of analyzing Big Data, employing machine learning and/or statistical techniques
Reference Id:1426
Travel Required:No
Manage Others:No
  • As a member of cross-functional project teams, work with partners to identify and exploit analytical opportunities, including experimental planning, design and analysis.
  • Apply rigorous statistical analysis, modeling, simulation, and predictive analytics to myriad experimental data sets and raise awareness of the value of various methodologies through education.
  • Propose new experiments and analytical processes to address novel questions that leverage Intrexon’s technology platforms.
  • Present findings to research partners by exposing their assumptions and validation work in a way that can be easily understood and leveraged by non-data scientists.
  • Gain insight into various therapeutics and diseases through the analyses of Next Generation Sequencing and various ‘omics datasets.
  • Ability to develop data-driven hypotheses, generate insight and propose novel experimental ideas.
  • Prepare technical reports and make presentations to project teams, leadership, and other stakeholders. 
  • PhD (1+ years’ experience), MS (3+ years’ experience) or BS (5+ years’ experience) in physics, mathematics, statistics, genetics, engineering, bioinformatics, computer science or a related field.
  • Proven track record of analyzing Big Data, employing machine learning and/or statistical techniques.
  • Hands on experience in developing and implementing methods in descriptive, predictive, and prescriptive analytics & computational statistics.
  • Experience with supervised and unsupervised machine learning theory and practice.
  • High dimensional data analysis (p >> n, dimensional reduction, clustering, etc.).
  • Frequentist and Bayesian statistical analyses (ANOVA, hierarchical and mixed modeling, FDR procedures, etc.)
  • Statistical computing in R or Python.
  • Familiarity with database query performance optimization.
  • Software development skills (functional vs object oriented design, version control, modular design).
  • High Performance Cloud Computing and Big Data computing architectures.
  • Familiarity and applied experience in cutting edge techniques for machine learning.
  • Ability to understand and execute on the company’s mission and values.
  • Maintain a high degree of ethical standard and trustworthiness.
  • Deals with conflict in a direct, positive manner.
  • Ability to think and adapt to a rapidly changing environment.
  • Able to reach rational conclusions through complex processing of information.
  • Fosters innovation through creative solutions and constructive dialogue and feelings toward the company, coworkers, and tasks being managed.
  • Successful at communicating in both oral and written forms.
  • Well organized and capable of clear communication through technology (i.e. Outlook, PowerPoint, and other programs used to create and distribute reports and key information).
  • Effective organization and implementation of group projects.
  • Up-to-date knowledge on industry current events.
  • Maintain a high degree of accuracy and attention to detail.
  • Energized by accomplishments and excellence in the workplace.
  • Capable of high performance in independent work as well as in team setting.
  • Ability to effectively communicate complex data and analysis to audiences with diverse technical backgrounds.
  • Effectively portrays analysis conclusions in a graphical and/or interactive format.
  • Experience working in the Biotechnology, Pharmaceutical, or Life Sciences industries.