Staff Computational Scientist Jobs

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

Persuasive communication skills to present complex issues clearly and convincingly to project teams, decision bodies, and senior stakeholders;

5+ years experience in pharmaceutical or biotech company;

3+ years experience with project prioritization and interdisciplinary collaborations in a matrix organization.

Identify novel biomarkers using state-of-the-art bioinformatics methods in the exploratory analyses of -omics and/or imaging data from oncology clinical trial specimens;

Collaborate across cross-functional teams to evaluate translational science questions from clinical programs;

Develop, evaluate, implement, and apply bioinformatics and statistical methods on DNA-seq, RNA-seq, or imaging datasets;

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.

Experience implementing clinical trials and/or observational studies in acupuncture and/or acupressure

Experience implementing clinical trials and/or observational studies in lifestyle modifications and cancer survivorship

Strong written and verbal communication skills

2 years of post-doctoral research experience in a related field

Experience managing project teams and managing direct reports

Experience managing Institutional Review Board approval processes

Translate voice of the customer and customer unmet needs to material performance requirements

3+ years of experience in advanced materials or specialty chemicals industrial research and/or new product development

Experience with one or more simulation packages – Gaussian, DMOL3, CASTEP, VASP, QuantumESPRESSO, COSMOTherm, LAMMPS, GROMACS, Towhee/Cassandra, UniSim/Aspen, Ansys

Experience in employing data science and AI/ML techniques for development of new materials

Experience in a fast-paced environment

Desire and abilities to identify, develop, and improve new technical concepts and products

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:

Support in-house GLP/GCLP infrastructure, systems and procedures to ensure adequate thorough laboratory practices & regulatory requirements for analytical activities.

Assist in preparing detailed analytical development report to support manufacturing and regulatory requirements.

Experience with AAV, LV and Gene and/or cell therapy preferred.

Experience handling third party assay laboratories, collaborations, and relevant bioanalytical vendors preferred.

Shown deeply understanding of global regulatory requirements including GLP, GCP and the clinical trial process.

Will critically review processes and recommend improvements to supervisor/manager.

15+ years of experience in scientific software development in C/C++, CUDA, and Python.

Demonstrated experience in advanced Fourier analysis and nonuniform Fast Fourier transforms.

Deep knowledge of dynamical scattering theory, the distorted-wave Born approximation, and multi-slice algorithms.

Experience in developing scalable GPU implementations of fully 3D Mixed-Scale Dense networks for experimental image analysis.

Extensive experience in collaborating with beamline scientists on analyzing experimental X-ray tomography and grazing-incidence small-angle X-ray scattering data.

Experience in writing research/funding proposals.

*Final salary and rates are based on education, experience and skills relevant to the role.*

Or an equivalent combination of education and experience.

At least three years of experience in computational science or engineering;

Highly collaborative, organized, and detail-oriented. Ability to be a productive member of a research team with good interpersonal skills.

Knowledge of atmospheric radiative transfer modeling, especially CRTM, RTTOV.

Knowledge of Line-by-Line radiative transfer models, such as the LBLRTM, spectroscopic databases (e.g., HITRAN, LNFL) and/or related models.

Strong technical and computer skills

Bachelor's degree in Geology, Environmental Science, or other earth science related field

Self-starter, quick learner and effective communicator

Ability to work individually and as part of a team

Ability to work consecutive long days in the field under varying adverse weather conditions (hot, cold, windy, and sometimes wet)

A DAY IN THE LIFE OF A STAFF EARTH SCIENTIST

Strong project management and communication skills.

Provide guidance to less experienced researchers.

3+ years experience in the development of functional coating formulations for paper, paperboard, or other cellulosic materials.

Experience in commercialization of new products and technology solutions.

The ability to make an impact and shape your career with a company that is passionate about growth.

Ensure successful deployment of new technologies by establishing effective working relationships with sales, marketing, manufacturing, and other company researchers.

Experience working with geographically diverse collaborative groups within a clinical research environment desired

Prior knowledge of immunology, infectious diseases (e.g., polio, TB, HIV, etc.), and vaccine research would be a plus

The ideal candidate will have experience in both early- and late-phase clinical trials, and/or broad statistical methodological experience

The incumbent may perform some or all of the following responsibilities:

Contribute to infectious disease prevention and treatment science through independent and collaborative research resulting in presentations and publications

Provide statistical leadership in protocol development, monitoring, and reporting

Project management training with demonstrated project management experience

7+ years of industrial experience within the oil and gas industry

3+ years of industrial research experience within the petrochemical industry, specifically in the field of monomer processing

Experience in authoring and presenting technical papers at industry-relevant conferences or seminars

Experience in working with customers in Europe, Asia, and Middle East

Experience in business development through technical support

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

PhD degree or equivalent experience in Computational Physics, Computational Chemistry, or a similar field.

3+ years of experience utilizing/developing computational methods for material discovery

Experience with Machine Learning including GNNs for material discovery.

Experience solving analytical problems using analytic and quantitative approaches.

Experience communicating research to audiences with different backgrounds.

Excellent project management skills and communication skills with experts and non-experts.

Proficiency with hardware control on one or more platforms (e.g., MATLAB, LabVIEW, Python, C/C++, Micro-Manager).

Experience working with optical modeling software (Zemax is preferred).

Demonstrated expertise in the design, development, and operation of optical microscopes, opto-mechanical, and opto-electronic systems.

Proficiency with one or more programming and image processing platforms (e.g., MATLAB, Python, Java/Beanshell, ImageJ, Napari, Imaris).

A track record of success with diverse interdisciplinary teams at the interface of optics and biology.

Experience with data management and statistical methods.

OEHHA has a hybrid work environment that includes work in an office setting and telework at home.

Knowledge of chemical databases and software relevant to SARs, QSARs, QSPRs, and QPPRs.

Knowledge of the qualitative and quantitative read-across assessments.

Successful experience in having a major leading role in projects or activities or on teams.

Ability to retrieve and manage data for subsequent analysis.

1+ years industry or postdoctoral experience is preferred

5+ years experience in processing, analyzing and modeling large biological datasets (e.g. genomic, transcriptomic) to answer key biological questions

Experience predicting and analyzing 2D RNA structures, including using chemical probing data (e.g. DMSMaPseq, SHAPEseq) to inform RNA structures

Advanced knowledge of statistics (frequentist and Bayesian) for analyzing complex, multidimensional data

Experience developing data processing, engineering and statistical analysis workflows using AWS services such as S3, EC2, ECS, AWS Batch, NextFlow

Foundational knowledge of machine learning and small molecule therapeutics is a plus

Ability to manage tasks or projects to develop project management skills.

Minimum of 1 year of environmental consulting experience.

Experience overseeing various drilling techniques (including direct push, hollow stem, sonic, etc.) and collecting soil, groundwater, and vapor samples.

Preliminary data evaluation and analytical skills.

Bachelor’s degree in relevant technical field.

Demonstrated ability to work independently in the field.

4+ years of professional industry experience doing quantitative analysis

Experience with statistical and machine learning methods to build descriptive and predictive models

More details about our company benefits can be found at the following link:

Partner with Slack Distribution teams to understand the drivers of our business and accelerate growth

Synthesize insights into crisp narratives and present to senior leadership

Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models