(Senior) Data Scientist – Texas A&M Genomics & Bioinformatics Service

Job ID:
Job date: 2018-05-24
End Date: 2018-07-23

Company : Intrexon Corporation

Country : United States

Role : Research Scientist

Job Description:
DUTIES AND RESPONSIBILITES:

Develop robust analysis pipelines for high throughput (HTP) screening data; integrate output data and conclusions into existing databases and help develop interactive visualization and analysis tools for making decisions based on resulting analysis.
Ensure rapid progress from HTP data to strain engineering decisions by efficiently executing pipelines and additional analyses as necessary, supporting rapid experimental cycle time.
Detect and propose solutions to deviations from expected data quality and encourage adoption of best practices to mitigate delays and data loss.
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 and evangelism.
Propose new experiments and analytical processes to address novel questions that leverage Intrexon’s technology platform for strain, protein, and process engineering.
Be a key partner in supporting Intrexon’s metabolic engineering and strain development, encompassing a broad array of microbial hosts.
Prepare technical reports and make presentations to project teams, leadership, and other stakeholders.

EDUCATION AND EXPERIENCE:

PhD (3+ years’ experience), MS (5+ years’ experience) or BS (8+ years’ experience) in physics, mathematics, statistics, genetics, engineering, bioinformatics, computer science or a related field.
Experience in establishing a bioinformatics pipeline for strain engineering, protein engineering, statistical data analysis, and design of experiment approaches.
Proven track record of accomplishments using applied machine learning and/or statistical techniques, preferably in the bio-industrial, life sciences, biotechnology, pharmaceutical, agriculture, or chemical field.

TECHNICAL SKILLS:

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, Python, or MATLAB.
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.
Experience developing pipelines to process and working with multi-omics data a plus.

DESIRED KEY COMPETENCIES:

Ability to understand and execute on the company’s mission and values.
Maintain a high degree of ethical standard and trustworthiness.
Capable of fostering change in an organization.
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.
Successful at communicating in both oral and written forms.
Fosters constructive dialogue and feelings toward the company, coworkers, and tasks being managed.
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.
Understanding eukaryotic and prokaryotic biological systems including molecular and cellular biology.
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.

Requeriments :

Skills :

Areas :

Additional Info:
EOE MFDV