Senior Staff Research Scientist II: Informational Bioinformatics Researcher

Senior Staff Research Scientist II: Informational Bioinformatics Researcher

Job Openings Senior Staff Research Scientist II: Informational Bioinformatics Researcher

About the job Senior Staff Research Scientist II: Informational Bioinformatics Researcher

Senior Staff Research Scientist II: Informational Bioinformatics Researcher

Hexagon Lavish® is an antiartificial scientific R&D startup in Atlanta, Georgia that has an opening full-time/permanent position for an experienced Informational Bioinformatics Researcher who will direct an engaging focus in conducting the distinction aspects of the informational interpretation software.

The Informational Bioinformatics Researcher will also need to hone skills in encompassing both a re-definition of the way scientific research is performed and assist the Chief Science Officer.

Position Overview

Hexagon Lavish® has an open full-time/permanent Senior Staff Research Scientist II position for an experienced Informational Bioinformatics Researcher with a background in computational biology coupled with an engaging focus in designing software for analyzing ecosystems and sequence alignment.

The candidate should be familiar with theWright-Fishermodel, Hardy-Weinberg equilibrium and the Neutral model. The candidate must also possess an understanding of scoring methods such as the blossom scoring matrix.

This position will require close collaboration with other research scientists involved with the PIR ( Premier Information Retrieval ) research project, working in the capacity of aligning PIR research with a derived understanding of how allergenic substances can be “detected” by the PIR application. The candidate will be tasked with providing the bioinformatics development for the PIR software and the essential PIR categories of the informational interpretation scientific software. The Informational Bioinformatics Researcher will also be tasked with "leading" the bioinformatic-research for the distinction functionality for the PIR mobile application.

The successful candidate will have acquired advanced knowledge of generation and analysis of sequence data; have extensive knowledge of coding languages for data mining and the development of tools, such as R, Python, Java and SQL; experience with large multi-dimensional data sets; some knowledge and experience with genetic statistics analytical methods; and the ability to identify, propose and develop a new form of technology and methodology to bioinformatics research.

*All applicants for scientific, mathematical or technical positions will be subjected to a pre-interview questionnaire .

KEY RESPONSIBILITIES

• Manage bioinformatics project and provide technical support to customers
  
• Integrate statistical analysis to project design and data interpretations
• Ensure resource availability and allocation, as well as project’s on-time delivery
• Troubleshoot computational methods and analyses
• Transform preliminary analysis scripts into robust and efficient code
• Perform large-scale projects and small custom tasks that span many classes of analysis problems
• Interpretation of biological and/or translational relevance of analytical results
• Prepare statistical analyses and maintain related databases
• Participate as directed in experiment design and preparation
• Develop and enhance algorithms for next-generation sequencing and third-generation sequencing
• Characterize and model empirical next-generation sequencing and third-generation sequencing data requirements
• A demonstrable expertise in development of GAs (genetic algorithms)
• Develop new research methods using clinical and real-world data to advance knowledge
• Experience with generalized linear mixed models, experimental design, statistical graphs and programming
• Maintenance of software and runtime environments: effective installation, configuration and troubleshooting of open-source and commercial scientific applications and toolsets
• Develop containerization solutions for the environment
• Analyzes result of server monitoring and implement changes to improve performance, processing and utilization
• Proposes, maintains and enforces polices, practices and security procedures

CANDIDATE PROFILE

• Identifies and solves research problems as they develop
  
• Being able to work both independently and as a team player
• Proficiency programming in R, Python, Perl, Java, SQL (or C/C++)
• Collaborative researcher, making co-author level contributions to scientific publications
• Experience in a cluster computing setting and be familiar with common bioinformatics tools
• Ability to create applications and packages in R and work in a Windows/Linux/UNIX environment
• Have an understanding, experience and up-to-date usage of biostatistics and bioinformatics algorithms
• Demonstrable ability to provide scientific critique of ideas, an interpretation of results and direction of research projects related to bioinformatics research
• Organized and methodical, yet flexible in adjusting priorities and the will to take risks to accomplish goals
• Assist other research scientists (specifically to wit, the Research Programmer and Scientific Programmer) in the preparation of grant proposals, presentations, project progress and end results
• Master’s or Ph.D in the disciplines of Applied Mathematics, Bioinformatics, Computer Science, Statistics or Computational Biology/Chemistry with a minimum of five years of experience in an industrial research capacity

PERSONAL CHARACTERISTICS

• Mentor interns and entry-level researchers
• Be willing to participate in monthly meetups, annual conferences, conventions, etc.

EXPECTATIONS OF ABILITIES

• Must be comfortable working alongside other scientists, mathematicians, engineers and programmers in order to collaborate on ideas and achieve the fulfillment of objectives
• A willingness to engage in conversation with others concerning technical attributes pertaining to subject matter relative to objectives of the job description

Hexagon Lavish® is an equal opportunity employer and sets a fair-point perspective on all candidates.