
Associate Machine Learning Scientist
Are you passionate about utilizing machine learning to drive groundbreaking discoveries in the field of biotechnology? Do you thrive in a collaborative and innovative work environment? If so, we have an exciting opportunity for you at Genentech as an Associate Machine Learning Scientist.As an Associate Machine Learning Scientist, you will join a dynamic team of scientists and engineers dedicated to developing cutting-edge machine learning solutions to revolutionize drug discovery and development. In this role, you will have the opportunity to work on diverse projects and contribute to the development of life-saving medicines.To excel in this role, you should have a strong background in machine learning and data analysis, as well as a deep understanding of biology and genetics. You should also possess excellent communication and problem-solving skills, and a passion for making a difference in the healthcare industry.Join us at Genentech and be a part of our mission to transform the lives of patients through science and innovation.
- Develop and implement machine learning algorithms and models to analyze complex biological data for drug discovery and development.
- Collaborate with a team of scientists and engineers to generate and test hypotheses using machine learning techniques.
- Conduct data mining, cleaning, and preprocessing to ensure high-quality data for analysis.
- Communicate findings and results to cross-functional teams and stakeholders in a clear and concise manner.
- Utilize advanced statistical and computational methods to analyze and interpret large datasets.
- Continuously monitor and evaluate the performance of machine learning models, and make necessary improvements to enhance accuracy and efficiency.
- Stay updated with the latest advancements in machine learning and biotechnology, and integrate new methods and technologies into current processes.
- Work closely with biologists, geneticists, and other domain experts to gain a deep understanding of the biological context of the data.
- Collaborate with external partners and vendors to leverage their expertise and resources for machine learning projects.
- Contribute to the development and implementation of best practices for machine learning and data analysis within the organization.
- Proactively identify and solve complex problems related to data analysis and machine learning.
- Uphold high ethical standards and adhere to data privacy and security protocols.
- Participate in conferences, workshops, and other professional development opportunities to enhance knowledge and skills.
- Take on additional responsibilities and projects as needed to support the goals and objectives of the organization.
Bachelor's Degree Or Higher In A Relevant Field Such As Computer Science, Statistics, Or Bioinformatics.
Strong Understanding Of Machine Learning Algorithms And Statistical Modeling.
Experience With Programming Languages Such As Python, R, Or Java.
Knowledge Of Data Mining Techniques And Tools, As Well As Experience Working With Large Datasets.
Ability To Effectively Communicate Complex Concepts And Findings To Both Technical And Non-Technical Stakeholders.
Programming
Data Analysis
Machine Learning
Deep Learning
Computer Vision
Data Visualization
Data Mining
Algorithm development
Statistical modeling
Predictive modeling
NLP (Natural Language Processing)
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Associate Machine Learning Scientist in South San Francisco, CA, USA is $100,000 - $130,000 per year. However, this can vary depending on factors such as the company, level of experience, and specific job responsibilities. Some companies may offer higher salaries for this role, while others may offer lower salaries. It is important to research the specific company and job listing to get a more accurate salary estimate.
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Genentech, Inc., is a biotechnology corporation which became a subsidiary of Roche in 2009. Genentech Research and Early Development operates as an independent center within Roche. As of February 2020, Genentech employed 13,638 people.

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