Metabolomics Associate Data Scientist

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Information Technology
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EB-Environ Genomics & Systems Bio
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94484 Requisition #

Lawrence Berkeley National Lab’s (LBNL) Environmental Genomics & Systems Biology Division has an opening for a Metabolomics Associate Data Scientist to join the team.

You will play an important role in developing and applying algorithms, user interfaces, and new programmatic capabilities to accelerate compound identification and metabolomics data analysis. You will develop Python methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for addressing research questions using metabolomics and genomics datasets. You will work alongside other scientific staff, postdocs, and students supporting data analysis of experiments, for example modeling microbial food webs, microbial community design, optimizing production of soil metabolites that build Carbon, etc.

 

What You Will Do:

  • The development work and analysis algorithms will be performed on high-performance computing hardware at the National Energy Research Scientific Computing Center (NERSC).
  • Identify weaknesses in the current code-base and workflows, propose solutions, and implement them using best practices.
  • In addition to developing metabolomics workflows, custom analysis, and new algorithms for metabolomics at LBNL, you will be expected to contribute to papers that showcase integration of biological sequence data with metabolomics data. 
  • Develop and apply innovative computational approaches to accelerate the analysis of mass spectrometry data.
  • Implement existing and new approaches for spectral networking, accelerate searches to aid in compound identification, and integration of metabolic pathways.
  • Collaborate with other members of the metabolomics research team to analyze datasets and write manuscripts.
  • Develop and implement algorithms to perform complex calculations efficiently on mass spectrometry data (e.g., spectral similarity scoring).

 

What is Required:

  • Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
  • Demonstrated experience doing and communicating highly technical work.
  • Expertise in data science and programming, especially Python. 
  • Strong commitment to team science.  
  • Ability to understand metabolomics, mass spectrometry data and physical chemistry as demonstrated through generation of useful software for analyzing mass spectrometry data.
  • Ability to integrate findings from mass spectrometry data with other types of data using bioinformatic tools and mine these integrated datasets for relevant findings.
  • Python programming, creating web applications, the linux shell, version control. unit-testing and test-driven design.
  • Ability to perform routine work with general/minimal instructions.
  • Capable of exercising judgement when working on standard/routine projects.
  • Excellent communication skills.

 

Desired Qualifications:

  • Familiarity with cutting edge data analysis approaches in machine learning.
  • Experience working with metabolomics, mass spectrometry, microbiology or environmental datasets.
  • Lab experience with basic microbiology, molecular biology and chemistry.
  • Experience with other programming languages, statistics, visualization, and web development.
  • Knowledge of mass spectrometry techniques and data analysis methodologies.
  • Knowledge of chemistry and biology concepts relevant for effective data analysis.

 

Notes:

  • This is a full-time, 1-year term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Work may be performed on-site, hybrid, or remote. Work on-site will be performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

 

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:

Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. 

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Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments.

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: "Equal Employment Opportunity is the Law." and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.