Remote Research Scientist Jobs in San Diego, California

Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes

Translate complex concepts into implications for the business via excellent communication skills, both verbal and written

3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting

Significant experience with SQL and large unstructured datasets such as Hadoop

Strong verbal and written communication skills

Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Strong background and experience in cancer research with training in molecular and cell biology

Experience with development of protein degraders and/or 3D/organoid solid tumor models is a plus.

Responsibilities will include but are not limited to the following:

Develop and implement cell-based assays to support target identification, validation, and drug

Design and conduct essential mechanistic experiments in cell biology, cellular biochemistry, molecular biology, and assay development

Conduct target discovery and validation experiments in close collaboration with bioinformatics, chemistry, and HTS groups

Must have hands-on lab experience with mammalian cell culture and molecular biology techniques

Responsibilities will include but are not limited to the following:

• Strong background and experience in cancer research with training in molecular and cell biology

• Experience with development of protein degraders and/or 3D/organoid solid tumor models is a plus.

1) explore disease biology enabling identification of novel drug targets;

2) develop and implement robust cellular assays to support discovery of small molecules as clinical development candidates;

Support and comply with the company’s Quality Management System policies and procedures.

Basic knowledge of statistical and mathematical methods in biology/genetics/genomics; including experience with statistical software, such as JMP.

Assist in collection, documentation, communication, and review of product requirements.

Strong attention to detail skills.

Excellent analytical, problem solving, and decision-making skills.

Apply technical knowledge, scientific creativity and rigor, collaboration with others, and independent thought; ability to provide insights and defend scientific ideas.

Knowledge of standard laboratory management and safety procedures.

Supervise and assist with data management & sample tracking.

Demonstrated knowledge and experience with field phenotyping methods such as root washing, crown root phenotyping, minirhizotrons.

Demonstrated knowledge and experience in researching information and analyzing data to arrive at valid conclusions, recommendations, and plans of action.

Monitors and manages team performance metrics relative to project plans and budgets

Independently assesses the needs of the program and makes operational recommendations and decisions to support the requirements for success.

Requirements, Knowledge, Skills and Abilities

Hands-on experience in developing and characterizing CAR-T cell products is highly preferred

Experience in developing in vivo models and executing in vivo studies

Experience analyzing and interpreting large, complex data sets - experience with ‘omics’ methods for cell characterization is a plus.

Excellent oral and written communication skills with proven ability to work well independently and as part of a team

Drive efforts to develop next-generation CAR-T cell therapies

Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)

Experience with design of high-level APIs and frameworks

A passion for building creative tools with delightful user experiences

Strong verbal and written communication skills

Collaborate with other researchers at Adobe to invent state-of-the-art algorithms for these problems

Patent these algorithms and publish them at the premier computer graphics, vision and machine learning venues.

Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)

Minimum of four years of proven experience doing state-of-the-art research and translating that research into product impact

Experience with design of high-level APIs and frameworks

A passion for building creative tools with delightful user experiences

Strong verbal and written communication skills

Collaborate with other researchers at Adobe to invent state-of-the-art algorithms for these problems

Experience working in a cross-functional environment with teamwork and excellent communication skills

Engage with our customers through more human experiences

Work with general managers, marketing and operation teams to identify and address their data modeling needs for better forecasting and planning

Experience in product analytics and experimental design

Experience with BI tools such as Looker, Tableau, PowerBI, etc.

Health, Dental, & Vision benefits plus savings plans

Meticulous record keeping and organizational skills are essential, as is the ability to communicate across a cross-functional team.

Strongest consideration will be given to candidates with a PhD in immunology, molecular biology, biochemistry.

Must be familiar with immunological principles and techniques including primary cell isolation, cell culture and flow cytometry.

Expertise in mRNA or DNA therapy, molecular biology, and innate sense of nucleic acids is highly deired.

The ideal candidate will have a background in cellular immunology, vaccinology and RNA or DNA therapy.

$62.07 to $118.85 per hour

Position located in a high-rise building.

Requires being stationary, consistent with office work, for extended periods.

Standard office environment (artificial lighting, controlled temperature, etc.).

Daily use of a personal computer, office equipment, and/or telephone.

Driving long distances using state vehicle fleet, operating out of an equipment warehouse.

Pay: $5,633.00 - $10,903.00 per month

Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).

5+ years of relevant research experience in the field of vehicle / robot autonomy.

Excellent collaboration and interpersonal skills

Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA).

Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.

Designing and implementing cutting-edge techniques in the field of vehicle autonomy.

Past experience in creating high-performance implementations of deep learning algorithms

Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects

Be excited about OpenAI's approach to research

Interested in and thoughtful about the impacts of AI technology

Medical, dental, and vision insurance for you and your family

Mental health and wellness support

Three years of relevant research and/or evaluation experience.

Bachelor’s degree required, or substitute with four additional years of related experience.

Intermediate to advanced skills in MS Office Word, Excel, and PowerPoint.

Research or evaluation experience with quantitative statistical software, such as SAS, SPSS, or R.

Demonstrated abilities of independent work, scientific reasoning, verbal presentation of scientific data, and production of written reports and/or scientific publications.

Substantial experience with evaluation-related technical assistance to local agencies.

Stipends for education, home office improvements, commuting, and wellness.

Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights

Design and run robust experiments, both quickly in toy scenarios and at scale in large models

Build infrastructure for running experiments and visualizing results

Work with colleagues to communicate results internally and publicly

Have a strong track record of scientific research (in any field), and have done some work on Interpretability

Three years of relevant research and/or evaluation experience.

Bachelor’s degree required, or substitute with four additional years of related experience.

Intermediate to advanced skills in MS Office Word, Excel, and PowerPoint.

Research or evaluation experience with quantitative statistical software, such as SAS, SPSS, or R.

Demonstrated abilities of independent work, scientific reasoning, verbal presentation of scientific data, and production of written reports and/or scientific publications.

Substantial experience with evaluation-related technical assistance to local agencies.

Prior experience in analyzing and mitigating linkage attacks and privacy risks.

Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts effectively.

Are excited at the idea of democratizing state-of-the-art research (performance, compression, and privacy optimizations) for all companies and products

Proficiency in programming languages commonly used for privacy preservation, such as Python, PyTorch, or TensorFlow.

Familiarity with privacy frameworks and tools, such as PyDP, TensorFlow Privacy, and OpenDP.

Strong understanding of data privacy regulations and industry best practices.

·Strong analytical and problem-solving skills with a deep understanding of statistical methods and experimental design.

Senior Research Scientist, Position Overview:

Conduct cutting-edge research on peptides and their application toward infectious diseases.

Experimental Design and Data Analysis:

·Authorization to live and work in the United States

PhD in Computer Science or Electrical Engineering (or equivalent experience)

At least 2 years of research experience in speech recognition or NLP

Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language

Design new large scale training algorithm

Open-source models using NeMo conversational AI frameworks

Publish research papers on top speech and NLP conferences