Hexagon Lavish® is a scientific research and development start-up based in the United States. The company initially was focused in machine learning techniques but now has evolved into a small company that's devoted to utilizing "unorthodox" research methodologies in theoretical development and uncompromised use of mathematics and science.

PIR: Premier Information Retrieval will be a resultant product from the platform, IISS (Informational Interpretation Scientific Software). PIR will be designed as software for immediate detection, distinction, classification and analysis.

Desmond J. Watson, co-founder and chief executive officer of Hexagon Lavish®,  is putting together a small team of researchers, mathematicians, engineers and programmers for this startup. If you're interested in applying your skills in efforts of turning ideas into a grand journey, submit your CV/résumé today.

Apply and submit your résumé here.

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 the Wright-Fisher model, 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.

KEY RESPONSIBILITIES

• 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 either an academic or industrial research capacity

•  Experience with generalized linear mixed models, experimental design, statistical graphs and programming

• Having the means to code a complicated system expediently

• 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 knowlegde

• 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

• Strong problem-solving aptitude coupled with leadership abilities

•  Organized and methodical, yet flexible in adjusting priorities and the will to take risks to accomplish goals

• Superior communication skills (both written and verbal)

CANDIDATE PROFILE

• Demonstrable ability to provide scientific critique of ideas, an interpretation of results and direction of research projects related to bioinformatics research

• Have an understanding, experience and up-to-date usage of biostatistics and bioinformatics algorithms

• Proficiency programming in R, Python, Perl, Java, SQL (or C/C++)

•  Being able to work both independently and as a team player

• Collaborative researcher, making co-author level contributions to scientific publications

• Ability to create applications and packages in R and work in a Windows/Linux/UNIX environment

• Experience in a cluster computing setting and be familiar with common bioinformatics tools

• Identifies and solves research problems as they develop

PERSONAL CHARACTERISTICS

• Mentor interns and entry-level researchers

• Be willing to participate in monthly meetups, annual conferences, conventions, etc.

EXPECTATIONS OF ABILITIES

• Fluent in English

• 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