Analytical Staff Scientist Jobs in California

Collaborate with partners from engineering to customer experience to inform strategic builds of essential compliance program elements

Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)

Deep experience using data to solve complex, ambiguous problems

Vision to define problems and manage projects in a fast-­paced, evolving organization

Paid Life insurance, AD&D, and disability benefits

Perform deep dive analysis into different customer segments and/or products to identify pockets of compliance risk

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:

Organization - Exercise good time management and prioritization skills

EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:

Hands-on experience with various analytical methods such as GC, LC, LC-MS/MS, etc. to support analysis

Work cross functionally to build internal capabilities.

Analytical and Problem-Solving Skills - Able to troubleshoot critical issues and instrumentation, and determine causes and possible solutions

PhD degree in chemistry, biology, pharmacy, engineering, or related pharmaceutical science with 1+ years relevant experience, or

* 8+ years of BioPharma, BioPharmaceutical, Pharmaceutical or Biotechnology industry experience.

* Experience contributing to CMC sections of regulatory filings including IND, NDA, and BLA submissions desired.

* Experience working on technology transfer and validation activities within cGMP compliance.

* Leading technology transfer processes and working cross functionally with Quality Control departments.

* Designing and conducting stability, impurity and degradation studies.

* Leading analytical related process characterization studies.

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

Analysis and evaluation of material and products at all stages of development process under stringent quality and time requirements.

A minimum of 3-7 years of industrial experience with hands-on experience in analytical chemistry.

Experience with the development of bioanalytical methods is a plus.

Excellent written, reporting, and verbal communication skills.

Candidates with hands-on experience in the operation of Sciex LC/MS/MS are preferred.

Review of data for technical content and regulatory compliance.

8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.

Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.

Experience leading key technical projects and substantially influencing the scope and output of others.

Experience in the strategic analytics side of data science: shaping decisions rather than just building models.

What Skills Are Ideal But Not Required

Information regarding the culture at Pinterest and benefits available for this position can be found here.

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.

Executes on strategy, vision, and direction set by line management

Master's/PhD in relevant discipline and Some similar experience as noted above

Knowledge of protein and gene therapy biology with a good understanding of testing/characterization methods required

Some experience with novel methods in AAV characterization (e.g. ddPCR, DLS, AUC, NGS, CE-SDS) preferred

Good knowledge of cell-based methods associated with bioanalytical analytical method development (e.g. TCID50, Potency assay, viral transduction, and ELISA methods) preferred

Familiar level knowledge of the biologics drug development process is recommended

BS with 3+ years of experience in analytical development

MS with 2+ years of experience in analytical development

PhD with 0+ years of experience in analytical development

Demonstrated experience in physical characterization techniques such as TGA, DSC, PXRD, GVS, and SEM.

Must demonstrate excellent communication, critical thinking, and organizational skills.

Physical requirements: must be able to lift up to 25lbs, walk/sit/stand on regular basis, and regular use of computers

Experience working with Python/R in bioinformatics data analysis, SQL data management, and data visualization tools such as Power BI or Tableau.

Improve the data management of analytical laboratories, ex. automation, digitalization, and data visualization.

Experience in statistical analysis to analyze complex biological datasets.

Experience working with lab automation systems, including scripting, operating, and maintenance.

Hands-on experience in nucleotide extraction, PCR and library preparation.

Hands-on experience in Bioinformatic data analysis.

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.

Prepare and review technical reports, method validation protocols, and other documentation to support regulatory filings and client requirements.

Maintain and troubleshoot analytical instruments and equipment, ensuring their proper functioning and calibration to deliver accurate and precise analytical results.

Collaborate with external partners, including contract testing laboratories and clients, to coordinate analytical activities and address technical inquiries.

Familiarity with regulatory guidelines (e.g., FDA, ICH, USP) related to analytical method development, validation, and GMP compliance.

Manage and perform assay control and important reagent qualifications, including monitoring and trending of method performance.

Excellent technical writing skills and able to write create technical documents and reports that meet company and regulatory requirements.

Knowledge about analytical method validation and important reagent qualification.

Basic knowledge about regulatory requirements concerning analytical instrumentation, test methods, and licenses.

Substantial knowledge regarding regulatory standards requirements e.g., CGMP, QSR, USP, 21CFR, ICH

Support the installation, operational qualification (IOQ), maintenance and troubleshooting of instrumentation in the AQC group.

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

Perform method qualification and validation activities in compliance with relevant industry guidelines and regulations (e.g., ICH, FDA).

Perform any additional duties assigned by supervisor or manager.

Strong understanding of biophysical characterization methods, protein biochemistry, analytical techniques, and regulatory requirements for biologics.

Experience with ELISA, SDS-PAGE, Western blotting, and qPCR.

Knowledge of relevant industry guidelines and regulations (e.g., ICH, FDA) for analytical methods development and validation for biologics.

Demonstrable experience keeping pristine records of experiments and DNA constructs produced using a digital laboratory notebook.

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