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Freenome
South San Francisco, CA, United States
Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building th
Job Source: FreenomeAmira Learning
San Francisco, CA, United States
Senior Machine Learning Scientist REMOTE / FULL TIME Apply online at https://amira-learning-inc.breezy.hr/ About Amira Learning: We believe every child deserves the chance to become a reader. We seek to help more students learn how to read than any other company in the world. Amira is a rapidly growing and renowned AI startup that was recently
Job Source: Amira LearningCytokinetics
South San Francisco, CA, United States
Cytokinetics is a late-stage, specialty cardiovascular biopharmaceutical company focused on discovering, developing and commercializing first-in-class muscle activators and next-in-class muscle inhibitors as potential treatments for debilitating diseases in which cardiac muscle performance is compromised. As a leader in muscle biology and the mecha
Job Source: CytokineticsAtomic AI
South San Francisco, CA, United States
Atomic AI, Inc. is a well-funded, early-stage biotech company transforming the rational design of molecules and medicines through the cutting-edge fusion of artificial intelligence and structural biology. Atomic's unique R&D platform, based on research featured on the cover of Science , provides new strategies to treat or cure previously undruggabl
Job Source: Atomic AIAltos Labs
San Francisco, CA, United States
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission . Diversity at Altos We believe that d
Job Source: Altos Labsretro co.
Redwood City, CA, United States
Retro Biosciences is a fast-growing biopharma startup using high-throughput, high-dimensional approaches to develop therapies for diseases driven by the biology of aging. We are looking to expand our exceptional team at our Redwood City location. We are seeking a highly organized and driven Machine Learning Scientist passionate about solving comp
Job Source: retro co.NewLimit
South San Francisco, CA, United States
About NewLimit NewLimit is a biotechnology company working to radically extend human healthspan. We're developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machi
Job Source: NewLimitNewLimit
South San Francisco, CA, United States
About NewLimit NewLimit is a biotechnology company working to radically extend human healthspan. We’re developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machin
Job Source: NewLimitSouth San Francisco, CA, United States
Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry. We are at the forefront of innovation, driving impactful solutions in drug discovery. As we expand our team, we are seeking a highly skilled Senior AI Expert to contribute to our ambitious projects and initiatives.
We are seeking a dynamic experienced AI Expert with a Ph.D in Machine Learning, Artificial Intelligence, Computer Science, or a related field, accompanied degree in Bioinformatics, Cheminformatics, or a relevant discipline. This role requires extensive experience in building supervised learning models, particularly in image analysis, with a focus on phenotypic screening, images of cells, and cell parts. It is also essential to have experience with regression models for predictors and a deep understanding of biological data analysis. Experience of ML utilization for classification, regression, and clustering of highly complex metabolomic and/or proteomics data is also desired.
Responsibilities
Collaborate closely with the Director of Discovery Technologies to foster and grow AI implementation, infrastructure, and processes within the organization.
Lead the research, development, and implementation of advanced machine learning and deep learning algorithms to solve complex problems within Biological Sciences. This includes supervised, non-supervised analysis & visualization, as well as image analysis, particularly in phenotypic screening, images of cells, and cell parts.
Utilize regression models for predictors in biological data analysis to derive meaningful insights and predictions from large-scale datasets.
Collaborate closely with interdisciplinary teams to define project objectives, design experimental frameworks, and deliver innovative solutions that drive impact across Research Discovery programs.
Conduct thorough data preprocessing, feature extraction, and dimensionality reduction to optimize model performance and scalability.
Stay abreast of the latest developments in AI, machine learning, bioinformatics, and cheminformatics, and integrate emerging technologies and methodologies into our workflows.
Provide technical leadership and mentorship to colleagues, fostering a collaborative and intellectually stimulating environment.
Evaluate and compare different machine learning frameworks and libraries to identify the most suitable tools for specific tasks.
Contribute and assist to the development and documentation of best practices, standards, and guidelines for AI and machine learning within the organization.
Communicate findings and results effectively to both technical and non-technical stakeholders through presentations, reports, and documentation.
Take ownership of projects from conception to deployment, ensuring high-quality and reliable solutions are delivered on time and within budget constraints.
Report regularly to the Director of Discovery Technologies on project progress, challenges, and opportunities for improvement, providing strategic insights and recommendations for further advancements.
Qualifications
Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Bioinformatics, or relevant discipline
Minimum 3-7 years of experience that may include post-doc in machine learning and AI field utilizing large-scale datasets and cutting-edge machine learning techniques to develop accurate and robust supervised learning models
Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics.
Strong background in statistical analysis, data visualization, and algorithm development, with a demonstrated ability to tackle complex problems in interdisciplinary domains.
Proficiency in programming languages such as Python, Matlab, R, and experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Excellent communication skills, with the ability to convey technical concepts effectively to diverse audiences, both verbally, written, and presentation style.
Proactive and results-driven approach
Passion for continuous learning and innovation
Nice-to-Haves:
Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous.
Familiarity with other Amazon Cloud AWS services
Experience with DeepCut for processing image analysis of pre-clinical studies
Experience with Cellpose for processing phenotypic cell images
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Senior Machine Learning Scientist jobs in South San Francisco, CA, United States
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