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Data Scientist I

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Genomatica, IncSan Diego, CA
Full-time
  • Job Description Title: Data Scientist I Department: Systems Bioengineering Position Summary Genomatica is harnessing biology to remake everyday products and materials built by and for the planet.
  • The company is developing and scaling sustainable materials derived from plant- or waste-based feedstocks instead of fossil fuels to help brands deliver on their climate goals and our planet’s needs.
  • Genomatica has already commercialized sustainable materials used in plastics, spandex and cosmetics, and is working on plant-based nylon, household cleaners and more.
  • Genomatica is seeking a highly motivated and creative Data Scientist I to join the Systems Bioengineering Group.
  • The primary objective of this group is to develop and advance key aspects of the company’s core technology platform including various systems biology applications from model-driven strain design to data-driven optimization of industrial bioprocesses for renewable chemical production.
  • The successful candidate for this position will develop and implement computational modeling approaches for industrial metabolic engineering and bioprocess applications.
  • She/he will also contribute to the development and application of computational data analytics platforms for systems biology workflows to obtain actionable insights out of process and multiple omics data (genomics, transcriptomics, metabolomics, and proteomics).
  • The candidate will interface with multidisciplinary teams and play a role in the development of infrastructure for the predictive analysis and visualization of multi-dimensional, process-relevant biological datasets.
  • The successful candidate will have demonstrated proficiency in applying her/his technical knowledge and scientific creativity to develop innovative solutions in a team environment.
  • Essential Functions and Responsibilities include the following.
  • Other duties may be assigned.
  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Develop and apply computational approaches for modeling of biological systems such as metabolic models to generate insights from genome-scale, thermodynamics, and/or kinetic perspectives.
  • Develop custom mathematical/algorithmic modeling solutions to facilitate and optimize data processing and analysis workflows and design of experiments at various platforms such as continuous/fed-batch fermentation or small-scale platforms.
  • Analyze & generate insights from multi-omics data (e.g. genomics, transcriptomics, proteomics, metabolomics) in the context of metabolic network landscape to deliver actionable hypotheses and recommendations.
  • Work with other members in R&D and the Systems Bioengineering team to identify metabolic engineering and process development targets.
  • Prepare material for scientific presentation and consistently share results, experimental design, and execution plans with project teams and stakeholders.
  • Work with legal team consistently and support required experimental data and modeling information to support and secure IP space across R&D projects.
  • Support gene discovery pipeline for database mining, gene prediction, gene annotation, and genomic comparisons.
  • Identify and evaluate new computational tools to facilitate the analysis of multi-dimensional biological datasets.
  • Qualifications & Experience The requirements listed below are representative of the knowledge, skill, and/or ability required in order satisfactorily perform in this role.
  • Education The requirements listed below are representative of the knowledge, skill, and/or ability required in order satisfactorily perform in this role.
  • Experience Data Scientist – Ph. D. in bioinformatics, bioengineering, chemical engineering and/or related field, and 0-2 years related experience; may include post doctoral experience; or equivalent combination of education and experience Knowledge Requirements Expertise in systems biology and/or omics data analysis, and comfortable working with large datasets in the context of large metabolic networks.
  • Expertise in metabolic pathways, constraint-based modeling, building genome-scale metabolic networks from genome sequences, and analyzing intracellular flux distributions.
  • Experience in a chemical engineering modeling, microbiology, fermentation, or metabolic engineering setting, is desired.
  • Competencies Strong skills with statistical packages to discover patterns, trends, and groups within multi-dimensional biological data.
  • Experience with one or more programming languages: Python, MATLAB, R, Java. Programming skills including linear and/or nonlinear optimization, mathematical/statistical modeling, and GUI development.
  • Strong communication skills (both verbal and written) and interpersonal skills to clearly and concisely convey objectives and results to a diverse audience including computational biologists, fermentation engineers, microbiologists, molecular biologists, and enzymologists.
  • Ability to thrive in a fast-paced yet intellectually stimulating environment.
  • Creativity, independent thinking, analytical excellence, and passion.
  • Work Environment/ Physical Demands The work environment and physical demands described here are representative of those an employee encounters while performing the essential functions of this job.
  • Genomatica is committed to providing exciting career opportunities in an environment that values trust, respect, openness, teamwork, creativity, enthusiasm, and diligence.
  • We strive to create a culture that enables and encourages everyone to bring their whole selves to work.
  • We are committed to be a company where everyone feels they have equal opportunity to reach their potential.
  • Everyone is accepted and appreciated for who they are and what they bring to Genomatica.
  • We are looking for innovative, highly motivated, and collaborative people who enjoy the challenges and rewards of a company devoted to commercializing cutting-edge sustainable technology.
  • Check us out on our LinkedIn Life page.
  • Genomatica is an equal opportunity employer.
  • Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other characteristic protected by law.

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