Applied Scientist Iii Jobs

Years of experience in specific field or utilizing designated skills: Minimum 1 years’ Experience

Work with non-technical stakeholders to understand business requirements and implement solutions that are widely accessible

Create Tableau dashboards and other visualization tools to provide strategic benefit to the team and business stakeholders.

Strong coding skills: python (required), SQL (required), and pySpark (preferred)

Working knowledge of statistics, machine learning, and visualization (Tableau)

Retail, customer loyalty, or eCommerce experience preferred

Experience in developing mechanistic pharmacokinetic/pharmacodynamic models or systems biology models to study physiology, pathophysiology, and/or pharmacology

Previous experience in using ordinary differential equations to simulate physiological, pathophysiological, and/or pharmacological processes required

Determine time and resources required to execute projects and help establish plans and schedules

Guide or direct other computational research associates in experimental procedures and processes

A multidisciplinary background in mathematical modeling, biology, and computational modeling.

Currently enrolled in an accredited college or university Bachelor's degree program.

Majoring in Computer Science, Statistics or a related STEM discipline.

Graduation date falls between December 2024 and June 2026.

Ability to work year-round: part-time during the school year and full-time during the summer.

Living within commutable distance to San Diego, CA and able to work in-person on a regular bases.

Effectively articulate technical challenges and solutions.

Use machine learning to improve Etsy buyer’s fulfillment and delivery experiences

Work closely with software engineers, product managers, and designers

Experience in building production ML systems

Experience with / working in one of the following fields: forecasting, delivery optimization, network optimization, revenue optimization, machine learning

Use forecasting, operations research, and network optimization to predict and improve Etsy’s delivery performance

Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seasonality

Stock culture management and quality control of same

Microbiological media management and quality control of same

Research experiments as deemed appropriate by Merck management

Prepare GMP documentation as requested by management

Inform management of non-conforming events

Retrieve data when requested by Microbiology management

Strong interest and experience in applying behavioral science concepts and principles in partnership with product teams.

Broad knowledge of behavioral science concepts and theories.

Sophisticated knowledge of statistics and data analysis common to the field of behavioral science

Strong interpersonal skills. Great teammate.

Strong data science skills with Proficiency in R and/or Python.

Experienced in other big data languages and tools (e.g. SQL, Hive, PySpark) is a plus.

Experience in developing and validating analyses for small molecules, biologics and proteins by LCMS.

Knowledge of basic laboratory safety training is advantageous but not required.

Exceptional oral and written communication skills and ability to network and build consensus within a multi-disciplinary organization.

Drug regulatory experience is desired, particularly regulatory science research.

Developing and validating ligand binding assays for various protein molecules.

Produces reports for reliable, sensitive, and validated methods of analyses (prepares, edit, and designate project reports).

Bachelors in Life Sciences, Engineering, Biochemistry, Biology or related field with 6+ years of relevant industry experience.

Master’s or Ph.D. with 3+ years of relevant industry experience.

Excellent knowledge and understanding of NGS, preferably with Illumina MiSeq system.

Excellent understanding of quality and regulatory requirements in the pharmaceutical industry, including pharmaceutical GMPs and descriptive molecular biology.

Excellent problem-solving skills and logical approach to solving scientific problems utilizing QbD principles.

Skilled technical writer, able to convey complex topics through text and diagrams.

Is experienced with Machine Learning and Deep Learning models and frameworks

Has strong programming skills in Python, C++, Java (GPU programming is a plus)

Has 5+ years of professional development

Is able to experiment and evaluate state of the art systems from both academia and industry

Is eager to work on a highly sellable, performance-optimized infrastructure which elastically handles customer needs

Is able to adapt to a fast-paced work environment and can quickly adjust to changing priorities

Proposing and promoting new ideas to management and technical leaders.

Zappos pays 100% of every employee’s medical, dental, and vision benefits.

A multitude of benefits and incentives to stay mentally and physically healthy and fit.

Building meaningful and memorable experiences for our customers through machine learning driven systems.

M.S. in Computer Science, Mathematics, Economics, Operations Research, or related field and/or equivalent years of experience.

At least five (5) years of experience as a Data Scientist in industry setting.

Experiences WITH bacterial meningococcus system

• Experience in cell culture procedures and associated aseptic techniques is highly desirable.

• Experience in bacterial procedures and associated BSL-2 aseptic techniques is highly desirable.

• Experience with protein and polymer production in shake flasks and bioreactors.

• Experience with setting up and operating small-scale (2L-30L) and large-scale (200L) bioreactors.

• Strong written and verbal communication skills.

Lead complex modeling analyses to aid management in making key business decisions and set new policies.

5+ years of relevant, broad research science experience after PhD degree or equivalent.

Detailed knowledge of applied optimization methods.

Demonstrable work experience on optimization models that have been deployed into production systems (strategic, planning, and/or operational).

Experience in writing scripts (Python) and/or software applications in programming languages such as C++, Java.

Excellent communication skills with both technical and non-technical audiences.

Good knowledge of existing bioinformatics databases and file formats.

Familiarity with computational biology tools and experience working with computational biologists to solve problems.

In-depth understanding of computational methods for NGS analysis and the usage of public data resources required.

Demonstrated ability to produce well-designed and documented code.

Must enjoy working in a multi-disciplinary and collaborative environment.

Ability to troubleshoot both individually and as part of a team.

Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders.

Close partnership with product managers and software engineers to deploy solutions into production in various business-critical scenarios.

Hands-on experience with distributed training of large language models.

Strong development experience of deep learning modeling in Python.

Industrial experience in system design, software development, and production deployment

Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving.

*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.

Other duties and responsibilities as assigned

4+ years of research experience (previous work with athletes a plus)

Advanced computer programming and database experience (preferably Python, SQL; MATLAB familiarity a plus)

Knowledge of recent advances within the public baseball research and tech communities

Advanced communication (written & verbal) skills with ability to become a trusted advisor

*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.

Other duties and responsibilities as assigned

2+ years of research experience (previous work with human subjects / athletes a plus)

Experience with biomechanics data collection and analysis tools (motion capture systems, force plates, IMUs, pressure sensors, Visual 3D / OpenSim)

Intermediate computer programming and database experience (preferably Python, SQL; MATLAB familiarity a plus)

Knowledge of recent advances within the public baseball research and tech communities

*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.

Other duties and responsibilities as assigned

At least 1 year of research experience (previous work with human subjects / athletes a plus)

Computer programming and database experience (preferably Python, SQL; MATLAB familiarity a plus)

Knowledge of recent advances within the public baseball research and tech communities

Strong communication (written & verbal) skills

Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.

3+ years of building models for business application experience

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience programming in Java, C++, Python or related language

Experience in professional software development

Build machine learning models and perform data analysis to deliver scalable solutions to business problems.