Staff Material Scientist Jobs in California

Provide technical direction to graduate students, postdocs, and research associates as appropriate, and assist in the management of research projects.

Provide users with support through your own efforts, hands-on and with your expert knowledge, in the area of electron microscopy.

Communicate with users of varying levels of experience in electron microscopy with empathy and professionalism.

Share in user-related operations, maintenance/administration, and development responsibilities within the NCEM Facility.

Strong analytical and problem-solving skills

Research experience and an established track record working in electron microscopy research at academic, industrial, or other research institutions.

This position is eligible for LBNL’s Employee Referral Program benefit(s).

Lawrence Berkeley National Laboratory has multiple openings for a Chemist Staff Scientist/Engineer in Berkeley, CA.

1. Thin film semiconductor synthesis via chemical solution processing such as spin coating or blade coating;

2. Materials characterizations including spectroscopy, diffraction, and imaging tools applied during or after material synthesis;

4. Synchrotron track record on operando and in situ studies of thin film semiconductors; and

Equal Opportunity and IDEA Information Links:

Highly motivated with excellent attention to detail. Good communication (oral and written) and collaboration skills.

Experience in cell culture and tissue preparation techniques.

Experience in troubleshooting and optimization of molecular biology assays including reagent formulation and workflow optimization.

Experience in product development including product release.

Advanced fluorescence imaging techniques. Experience in microscopy image analysis.

Additional Desirable Skills To Have

You are experienced with agile methodologies using project planning and tracking management tools e.g., JIRA

You are skilled in Python. R, Scala are optional.

You are experienced in basic ETL practices. SQL experience is required, working experience in SparkSQL or PySpark is preferred.

You have experience with cloud environments including Azure, Google Cloud, etc.

Support the development of the Customer Decision Engine. Provide Causal Inference capabilities to cover the entire customer shopping journey.

Identify data collection opportunities to better understand the customer/associate experience. Support the build out of data feature store.

Present and visualise results in a clear and concise way to senior management for decision making.

Able to show good communication skills, and experience in visualising and reporting learnings.

4+ years experience as a data scientist in a technology company

Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics

Prior experience in advertising data products.

Leverage understanding of metrics, testing methodology and business strategy to help define the roadmap of the company.

PhD in Statistics, Operations Research, Industrial Engineering and Mathematics or other quantitative fields with 3+ years of relevant work experience.

Strong knowledge of mathematical programming modeling, optimization, and machine learning.

Demonstrated production-level coding and programming abilities.

Experience of building large-scale Machine learning (deep learning and reinforcement learning) or optimization driven products.

Work with operations and product stakeholders to understand business needs and interpret them with scientific languages.

Independently develop Proof-Of-Concepts models of solves sequential decision making processes.

Experience using various cell and molecular biology techniques to assess cell/tissue-biomaterial interactions

What your manager wants you to know:

Develop and execute in vivo and in vitro assays and models to evaluate the cell/tissue response to implantable biomaterials/medical devices

Perform scientific studies to develop and qualify new test methods and/or procedures

Perform data analysis and interpretation of results and prepare data presentations for internal and external stakeholders

Document and prepare data summaries of methods and results in written reports

Strong background in statistics, either from academic research or industry experience

Advanced statistical programming skills, e.g., in Python or R

Experience manipulating, visualizing, and interpreting big data

PhD in statistics, math, physics, or another quantitative research area

Ability to interpret and work with data in the presence of ambiguity (e.g., confounding factors, data sparsity or quality challenges),

Willingness, ability, and patience to understand highly complex systems

Synthesize data into succinct presentations that influence senior management decision making

Knowledge of statistical modeling or machine learning is preferred but not a requirement

8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns

Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired

Intellectual curiosity and aptitude to pick up new technical skills

Strong programming skills in SQL, Python and proficiency in Tableau