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Scientist job description

Updated March 14, 2024
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Example scientist requirements on a job description

Scientist requirements can be divided into technical requirements and required soft skills. The lists below show the most common requirements included in scientist job postings.
Sample scientist requirements
  • Bachelor's degree in applicable field.
  • Relevant work experience in laboratory or research environment.
  • Demonstrated proficiency in scientific methods.
  • Proficiency in data analysis and interpretation.
  • Ability to generate reports for internal and external stakeholders.
Sample required scientist soft skills
  • Excellent communication and interpersonal skills.
  • Strong problem-solving abilities.
  • Ability to work independently and collaboratively.
  • Highly organized and detail-oriented.
  • Ability to manage multiple tasks and prioritize.

Scientist job description example 1

Avery Dennison scientist job description

Avery Dennison is looking for an individual to provide insightful computational capabilities using FEM and other simulation methods to accelerate the development of products and processes. The position will be with the Materials Science and Characterization (MSC) Group, which primarily supports R&D activities globally at Avery Dennison's Mentor, OH location, chartered to support and resolve technical problems from long term projects to urgent manufacturing and quality issues stemming from across Avery Dennison's global operations. Highly creative and problem solving abilities rooted in scientific computations translated to practical and useful solutions to product and process development activities is sought.
Responsibilities:

Drive fundamental understanding and insights of complex materials and phenomena (polymeric adhesives, gels, colloids and multi-layer laminates) using predictive FEM, multi-physics and particle based simulation techniques (such as Discrete Element Method, Dissipative Particle Dynamics, Molecular Dynamics Simulations etc.).

Interact with experimental synthetic chemists, product developers and process technologists and engineers to develop the insights from physical models, theory and surgical experiments that enable rapid exploration of design parameter space without need for extensive prototyping and/or pilot trials.

Conceive, develop and execute predictive FEM models and novel custom crafted experimental methods for evaluating new material and laminate paradigms in the Avery Dennison Materials Portfolio.

Translate problems into parametric model representations using conservation and constitutive equations to represent materials, studying the impact of visco-elastic responses in single and multi-layer polymeric laminates, adhesion mediated interfaces, flow of polymer melts in embossing and other processes.

Develop and apply predictive computational materials science (FEM and coarse-grained particle and/or mean-field based methods) spanning a range of spatial and time scales and material systems with a high degree of practical focus to guiding/solving product and process technology activities.

Solve highly interdisciplinary simulation challenges involving complex material and deformation interactions (fracture in soft materials, time/rate dependence, non-linear problems etc.) for desired application including modeling of pressure sensitive mediated interfaces, laminate mechanics and rational design of multi-layer functional laminates, polymer deformation/flow.

Interact with rheology/physical testing to guide experiments to acquire data for model parameterization and validation.

Interpret data, write technical reports, and communicate research activities and results with other divisional scientists in a high-quality, professional, and timely manner.
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Scientist job description example 2

Google scientist job description

Minimum qualifications:

+ Master's degree in Vision Science, Experimental Psychology, Bioengineering, a related field, or equivalent practical experience.

+ Experience with display technology and how it impacts visual signals

+ 4 years of experience with data analysis scripting in Python or Matlab.

Preferred qualifications:

+ PhD in Vision Science, Experimental Psychology, Bio-engineering, or a related field.

+ 3 years of experience working with head-mounted displays.

+ Research experience using Likert-based scales to assess a subjective experience, and psychophysical techniques for measuring visual thresholds.

+ 1 year of experience in technical leadership.

+ 3 peer review journal articles.

+ Experimental development experience with a gaming engine.

In this role, you will use vision science to understand the visual interface between our products and the human visual system. Through deep familiarity with the literature, modeling, and empirical research you will identify the display signals to which the visual system is sensitive, and those that are not. In addition to the display, you will also contribute human-factors research to the myriad of other considerations related to visual comfort and quality when using near-eye optics. Working closely with the Engineering, Product Development, and UX teams, you will work towards optimizing the trade offs and gain early insights about potential risks.

The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

+ Understand the vision science literature and display/optics engineering to translate the product questions to vision science problems.

+ Attempt to answer problems through lit reviews, applying visual models, and executing original empirical research.

+ Work with cross-functional teams to develop new non-form factor test benches to explore specific hypotheses.

+ Topics of interest include visual acuity, temporal sensitivity, binocular vision, physical comfort and visual comfort.
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Scientist job description example 3

Mayo Clinic scientist job description

**Why Mayo Clinic**

MAYO CLINIC has again been recognized as the best hospital in the nation for 2022-2023 by U.S. News and World Report. Our multi-disciplinary group practice focuses on providing high quality, compassionate medical care. We are the largest integrated, not-for-profit medical group practice in the world with approximately 3,800 physicians and scientists across all locations working in a unique environment that brings together the best in patient care, groundbreaking research and innovative medical education.

**Position description**

The Division of Infectious Disease at the Mayo Clinic in Rochester, MN, is seeking scientist or physician-engaged in research with expertise or primary interest in phage therapy or phage basic science. Mayo Clinic Phage Therapy Program is a growing clinical and laboratory-based service line with dedicated effort toward phage- clinical trials, compassionate use cases, development of phage susceptibility testing, and the advancement of clinical phageomics. A broad range of candidates would be considered for exploring opportunities to develop various aspects of the Mayo Phage Program.

The Infectious Diseases Division is open to considering alternate FTE opportunities.

**License or certification**

Qualifications: Candidates should be ABIM Board Certified/Board Eligible in Infectious Diseases or hold a PhD in the Biological or Physical Sciences. This position will include an academic appointment with the Mayo Clinic College of Medicine and Science.

**Benefits eligible**

Yes

**Schedule**

Full Time

**Site description**

Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.

**Recruiter**

Connie Carlin

**EOE**

Mayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities).

Mayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities).

**Equal opportunity**

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
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Updated March 14, 2024

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.